HKUST(GZ) | 2025 Fall

2024-09-20

News

The second batch of Mphil applications for HKUST (GZ) is now OPEN!!! (September 22nd)

学校概况
Mphil
25Fall新规
- 香港科技大学（广州）红鸟硕士项目招录机制（2025/26秋季招生）
- 香港科技大学（广州）红鸟硕士班2025/26秋季招生第一轮线下面试将于10月22日至23日举行
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Informaton Hub
- Thrust of Artificial Intelligence
  - Jintai Chen
  - Yutao YUE
  - Ying-Cong Chen
  - Enyan Dai
  - Xuming Hu
  - Junwei Liang
  - Hao Liu
  - Liu Li
  - WANG Hao
  - Addison Lin WANG
  - Zeke Xie
- Thrust of Computational Media and Arts

学校概况

香港科技大学（广州）（英语：The Hong Kong University of Science and Technology (Guangzhou)，缩写：HKUST(GZ)），简称港科大（广州），位于中国广东省广州市南沙区东涌镇，是香港科技大学、广州大学和广州市人民政府共同举办的一所大学，为粤港澳大湾区规划发布后首个具独立法人资格的内地与香港合作办学机构，也是南沙区内第一所高校。学校于2019年9月动工，2022年6月获教育部正式批准设立并启用，同年9月正式开学。

港科大（广州）将不会重叠清水湾校园已提供的学科，而将重点发展交叉学科，以相互补足。该校采用“Hubs - Thrust Areas”（枢纽-学域），而非传统院-系的学术组织架构，以鼓励学科交叉。现规划有4个学科枢纽，下设17个学域：

Function Hub：先进材料、地球与海洋大气科学、微电子、可持续发展能源及环境
Information Hub：人工智能、数据科学及分析、计算媒体与艺术、物联网
Systems Hub：生物医学及生物医药工程、智能交通、机器人与自动化系统、智能制造
Society Hub：金融科技、创新创业与公共政策、城市治理与设计、MBA+、碳中和与气候变化

Mphil

Before Submitting

申请系统的截止时间：

2025.6.15（国际学生）
2025.7.15（中国大陆和港澳台学生）

Admission Requitements:

bachelor’s degree
IELTS: 均分6.5，小分至少5.5

Timeline：

Application opens： 22 Jul 2024
Application deadline for international students： 15 Jun 2025
Application deadline for Chinese students： 15 Jul 2025
Program registration： Mid-Aug 2025
On-campus registration and New Student Orientation Week Lat： Aug 2025
Program commencement： 1 Sep 2025

Scholarship & Fees：

Application Fees：CNY 150
Scholarship：CNY 10,000 per month
Tuition Fees：CNY 40,000 per academic year
Fees for On-campus Accommodation：
- 8 rooms apartment,including ADA 7 rooms apartment：CNY 580/month per room
- 6 rooms apartment：CNY 630/month per room
  Studio,
- studio，including ADA studio：CNY 850/month per studio
- 1 room suite,including ADA suite： CNY 1,100/month per suite

Documen Requirements:

Identity Document:valid Mainland ID Card
Official Transcripts and Degree Certificates of Academic Qualification: To cover the full tertiary education history; Latest transcript if the degree program is not yet completed
Institution Grading System: To show the transcript legends/ keys/ grading scales; normally found at the back of the transcript or student handbook
Public Exam Score Reports: Required only if there is a Program-Specific Requirement on public examination achievements, e.g. GMAT, GRE
Proposed Research Plan and Past Research Experience (for application to Research Postgraduate Programs): Experience or participation in research projects ;Proposed research topic and plan for research ; Please refer to the Online Admission System for details
Academic References: Nominate 2-5 referees to support your application ; The referees will be invited by email to complete a reference report online

Submitting

Step 1: Apply Online

Create an account at the Online Admission System
Submit your Online Application before the Application Deadlines
Pay Application Fee
Attend any interviews you may have
Check for the email communications from us

Step 2: Check Your Application Status

Check for the admission offers (or other application status updates) at the Online Admission System from time to time

Reference Links: 港科广一站式申请指南

线下面试

红鸟硕士项目线下面试包括两个部分：其一是项目小组活动，用于评估申请人的综合素质和能力（团队合作、沟通能力等）；其二是个人面试，用于评估申请人的学术积累和专业素养。

面试地点：香港科技大学（广州）（地址：广东省广州市南沙区笃学路1号）。

面试形式：

上午场项目小组活动，候选人将现场随机组成小组，迎接主题挑战任务，活动旨在评估候选人的综合能力和素养（团队协作，沟通能力等）；
下午场个人面试，主要考察候选人的学术积累和专业素养。

25Fall新规

香港科技大学（广州）红鸟硕士项目招录机制（2025/26秋季招生）

招录机制:
红鸟硕士项目采取独立自主招生模式，并且突破传统以学科专业划分申请人的做法，不限制申请人专业，通过"个人申请-委员会审核"的机制，面向全球招生，全年滚动遴选与面试，择优录取。其招录机制以"申请-审核制"为主、"推荐-审核制"为辅，具体为：

申请-审核制：个人在官网提出申请，通过红鸟硕士项目招生委员会的遴选与面试，获得录取推荐资格（Offer Recommendation）。
推荐-审核制：个人通过特定组织或机构的选拔后，被推荐后进入红鸟硕士项目招生委员会的审核流程，审核通过的获得录取推荐资格。

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委员会制度:
为确保招录程序的合规性和招录全流程工作质量，红鸟硕士项目建立了多级全方位招生委员会，主要包括：

1.招生指导委员会（Admission Steering Committee）负责制定招生总体方针政策与发展策略；
2.遴选与面试委员会（Selection & Interview Committee）由各枢纽/学域及学院的教员（Faculty）联合组成，负责完成遴选、面试和录取推荐等全过程工作；
3.未来技术学院招生委员会（CFT Admission Committee）负责制定招录实施方案，指导与监管招生行政团队的具体执行工作；
4.未来技术学院招生申诉委员会（Admission Appeal Committee）负责审理红鸟硕士项目招录工作相关申诉，整体监督招生程序合规性。

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申请-审核制的主要招录环节
申请：基于融合学科的"枢纽理念"以及教学模式，红鸟硕士项目的新生在注册入学后的前六个月，将进行自主探索，再确定后续项目方向、项目团队与学术导师。因而，申请人在申请阶段无需提前确定导师和选择专业，只需按要求准备完整申请材料，并通过港科大（广州）的OAS系统(https://pgoas.hkust-gz.edu.cn/welcome)将其统一递交。具体指引请参见：https://cft.hkust-gz.edu.cn/wp-content/uploads/2024/10/Guideline-for-Application-of-2025-26-Fall-Red-Bird-MPhil-Program-1.pdf#new_tab

初选：随着申请数量逐年递增，为了提升招录工作的质量与效率，红鸟硕士项目设置了高校白名单和学业表现的筛选"过滤器"，通过设定条件，使评分系统对申请人进行自动机选。通过初选的申请人将进入下一阶段的遴选，而未通过初选的申请人，将会给其发送拒信。对于未通过初选，但具有特殊才能或其他突出表现的申请人，可通过"推荐-审核制"的渠道，申请港科大（广州）的"红鸟挑战营"（详见官网信息: https://vptlo.hkust-gz.edu.cn/rbcc/index/tzy_about_CN.html）。

遴选：在通过初选后，红鸟硕士项目的评分系统将为每份申请材料，自动匹配至少三位遴选与面试委员会的评委，以确保评委小组既做出专业性评价，又兼顾多角度综合评审。委员会根据申请人的理科、工科、文科、艺术、设计、商科、管理、医科等不同学科背景，对数学能力、语言文字综合能力、专业核心课成绩、实验课成绩、毕业设计/作品、企业/临床实习、社会服务活动、学生社团活动、国内国际大赛成绩等不同权重的指标完成评分，经集体决议后确定遴选结果：

（1）对于遴选结果为"推荐"的申请人将被邀请参加线下面试；
（2）对于遴选结果为"居中"的申请人将进入"候补名单"（Waiting List），以便委员会在后续的特定轮次进行滚动遴选（为了确保招录质量以及公平性，每位候补名单中的申请人只有一次滚动遴选的机会）；
（3）对于遴选结果为"不推荐"的申请人，将给其发拒信，且其不可再次提交同一届入学的招生申请。

面试：由于常规的考试与线上面试难以全面评价申请人的真实能力，红鸟硕士项目开创了特色的线下面试，包括小组活动与个人面试，以实现多维度地综合评价申请人的团队与个人表现。为贯彻透明、公平和公正的原则，红鸟硕士项目提前面向社会公开面试题目、形式与评分规则等，以确保所有申请人均获得一致的信息，而且要求所有申请人都必须参加在广州校园举办的线下面试，才有可能获得录取推荐资格。遴选与面试委员会将严格按照规定，开展线下面试，并完成综合评价以及集体决策等工作：通过线下面试的申请人将获得录取推荐资格，而未通过线下面试的申请人将对其发送拒信,且其不可再次提交同一届入学的招生申请。具体安排请参见:https://cft.hkust-gz.edu.cn/zh/admission/offline-interview/ 此外，由于海外申请人受到签证、国际交通等问题影响，受限较多，红鸟硕士项目特别规定：获得参加线下面试资格的海外申请人（不包含港、澳、台地区）可以选择参加线上预面试，在获得评委的反馈后，再决定是否参加线下面试。该预面试结果不作为委员会最终判断其是否获得录取的根据。

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推荐-审核制:
红鸟挑战营是红鸟硕士项目实施"推荐-审核制"的主要形式，旨在通过创新的过程评价方式，充分挖掘在传统人才评价标准之外具有卓越潜力的人才，为"偏才、怪才"们提供一次公平竞争的机会，切实贯彻"英雄不问出处"的招录理念。它在组织形式和时间上与"申请-审核制"形成了互补，在坚持透明、公平和公正的原则下，通过遴选与面试委员会，完成与"申请-审核制"同等标准的过程评估和录取推荐资格。因而，已在"申请-审核制"渠道提交申请的申请人，也可同步申请红鸟挑战营，若在挑战营全程表现优异，将有机会获得遴选与面试委员会的录取推荐资格，进入红鸟硕士项目。但是，如果申请人参加过遴选与面试委员会的材料遴选或面试（包括线下面试和挑战营线下营）环节且被拒，则不能重复提交同一届入学的招生申请。详情请关注官网通知：https://vptlo.hkust-gz.edu.cn/rbcc/index/tzy_about_CN.html

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审核录取:
经"申请-审核制"或"推荐-审核制"获得遴选与面试委员会录取推荐资格的申请人材料均须按规定逐级提交未来技术学院和霍英东研究生院审核。最后由霍英东研究生院批准并统一发放正式录取通知书。

香港科技大学（广州）红鸟硕士班2025/26秋季招生第一轮线下面试将于10月22日至23日举行

“未来城市”小组项目活动介绍:
每 4-6 名申请人现场随机组成一个小组，必须在规定时间内，只使用官方提供的基础材料（积木、纸、绳子、竹木等），结合特定的题目和临时的挑战任务，创作出一个模拟未来城市的作品。每组随机分配 2 位评委进行全过程观察、记录与评分。

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(1)活动流程:

1. 签到及随机分组（30 分钟）:
  所有申请人和评委签到后各自在等候区等候，在系统随机分配小组后，按随机分组结果就坐。各小组入座后可自行核对物资，在制作阶段未开始前不允许小组间交流。
1. 抽取主题关键词（10 分钟）:
  主办方负责人开场致辞后，在 5 大领域（未来健康保健技术、可持续生活、智能工业化、低空经济、海洋科技与经济）中随机抽取其中一个作为主题关键词 1，并现场使用 AI 随机生成一个形容词作为关键词 2。例如，本次活动随机抽取的主题关键词 1 为“智能工业化”，关键词 2 为“寒冷的”。
1. 制作阶段（110 分钟）:
  每个小组根据上述两个主题关键词，在一个长、宽、高分别为 75.5cm、51.5cm、＞43cm 的立体空间内制作相应的作品。要求每组作品包含不少于 5 个模块（模块功能或内容由小组自行定义），而且整个作品高度必须超过43cm。例如，有一小组根据“智能工业化”与“寒冷的”两个关键词，创建了一个具备高度智能工业化生产能力，且能够在严寒环境中提供可持续的生活条件和高效管理的未来城市，包含了智能工业中心、严寒能源供应与管理系统、智能交通网络、常温智能居住区、抗寒垂直农业与生态等模块。
1. 设计挑战任务（10 分钟）:
  每个小组前往签到处随机抽取另一小组作为观察对象进行观察，并结合自己小组的作品情况，有针对性地为被观察的小组提出一个挑战任务（例如：地震、海啸、核污染等人类社会可能面临的重大灾难或者挑战，具体内容由各小组自行定义），同时要求自己小组的作品必须能够满足自己所提给对方的挑战任务要求。此期间允许各小组之间使用金币进行模块的自由交易，但最终需标注出所交换的模块。
1. 挑战任务（20 分钟）:
  每个小组必须在 20 分钟内完成挑战任务的应对方案，并在白板上写好小组作品介绍，要求包含应对方案，形式不限。此期间，允许各小组调整各自的作品以及进行组间的模块自由交易。建议各小组妥善使用金币，争取使投资产生最大价值。
1. 小组陈述及组内互评（30 分钟）:
  每个小组面向各自评委进行团队陈述，结束后按照现场指引完成组内互评。

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(2)评分细则
评委将通过以下四个阶段观察申请人的表现，并根据可观察的行为打分。每项标准的评分范围为 0-2 分，具体如下：

0: 未观察到相关行为；
1: 行为部分观察到或表现不一致；
2: 行为完全观察到并有效展示。申请人总分最高可达 36 分。评委还可以添加简短的评分意见备注。

总评分总结:

30-36 分：表现出卓越的潜力，具备领导力、团队合作能力和创造力；
24-29 分：表现出较强的潜力，在各阶段中表现一致，但某些方面仍有提升空间；
18-23 分：表现出中等潜力，具备部分关键行为，但在领导力或适应性等关键领域可能存在困难；
18 分以下：潜力有限，在各阶段中表现不一致或较弱。

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(3)注意事项

1. 主办方将根据实际工作需求，在活动现场安排相关录音、录像或拍摄等；
1. 迟到、缺席或不遵守规定，甚至对面试现场造成破坏或不良影响者，将被直接取消面试资格；
1. 活动地点为香港科技大学（广州）校园的 Highbay，全部制作环节必须在指定区域内完成；
1. 各小组在活动结束后须快速整理物资，清理现场后，方可离场；
1. 若中英文版本产生歧义，将以中文版本为准。所有规则的最终解释权归香港科技大学（广州）所有。

(1)个人面试形式:
口头演讲（5 分钟，请使用 PPT）：请在以下五个主题领域中挑选一个，并阐述你攻读该领域硕士学位的原因：

未来健康保健技术
可持续生活
智能工业化
低空经济
海洋科技与经济

问答环节（10 分钟）：评委将就广泛话题进行提问。

面试语言：母语为中文的申请者，口头演讲可选择使用中文或英文。如果申请者的口头演讲使用中文，问答环节必将使用英文；如果口头演讲使用英文，问答环节将可使用中文或英文。母语非中文的申请者将全程使用英文面试。

由多名评委对一位申请者进行面试。

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(2)评分细则
评委将通过两个阶段观察申请人的表现，并根据可观察的行为打分。每项标准的评分范围为 0-2 分，具体如下：

0: 未观察到相关行为；
1: 行为部分观察到或表现不一致；
2: 行为完全观察到并有效展示。申请人总分最高可达 36 分。

总评分总结:

30-36分：表现出卓越潜力，具备强大的可转移技能、批判性思维能力等，并在压力下表现沉着；
24-29分：表现出较强潜力，具备关键技能，但某些方面仍有待提升；
18-23分：表现出中等潜力，展示了基础技能，但在适应性或团队合作等关键方面表现较为薄弱；
18分以下：潜力有限，在两个阶段中表现不一致或较弱，需要显著改善。

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(3)注意事项:

1.主办方将根据实际工作需求，在活动现场安排相关录音、录像或拍摄等；
2.迟到、缺席或不遵守规定，甚至对面试现场造成破坏或不良影响者，将被直接取消面试资格；
3.面试地点为香港科技大学（广州）校园，全部面试环节必须在指定区域内完成；
4.面试结束后，申请人须带齐个人物品，立即离开指定面试区域；
5.若中英文版本产生歧义，将以中文版本为准。所有规则的最终解释权归香港科技大学（广州）所有。

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邮件参考如下

开头礼貌问候
①：介绍自己的学术背景，但是要突出在某些学术方面比较优秀的地方。比如说可以说你学了什么课程，发表什么论文而且有哪些不错的成绩。
②：根据你自己的以往研究方向先去读下目标导师在相关领域的研究论文，做个整体的总结写在陶瓷信里，并且由此引出自己以往的具体研究和导师方向的相关性。
③：简单写下为什么选择这个导师的原因以及选择这所学校的原因，以及突出想要和导师将来一起工作的愿望。
📮邮件附上自己CV//成绩单可有可无
⏰️注意：陶瓷信字数千万不要太长，太长的话导师一般都懒得看。千万别写小作文。言简意赅即可。

–
📋第二部分：

导师要求线上面试：

①：如果回复可能直接约面试或者要成绩单（所以前面附件中成绩单可有可无）。
②：长时间不回复可邮件咨询是否导师收到邮件，若还无任何回复则可改投其他导师（记得修改内容）。

–

📋第三部分：

①：按照导师要求完成线上面试部分，少数直接提供口头offer，部分还需要进一步沟通交流。
②：如果没写具体可按照上述图片参考。
⏰️注意：
最好还是准备份PPT按照内容划分更加清楚。
PhD相对mphil更偏向于科研细节的面试，所以相关科研以及基础知识点一定要掌握好，不要找跨度太大的导师，不然面试纯拷打。其他的问题倒是都很日常。

–

📋第四部分：

拿到口头offer的填写系统。
按照导师要求提交RP研究计划，可先提交给导师过目交流。

–

📋第五部分：

如果约线下面试那内容如图。
最后的最后
其他学校套磁也差不多都是如上👆流程

–

Mphil 面经

DAY1
按照邮件规定到校后，下午5点左右会带领大家参观学校，自愿熟悉地点，迟来会有工作人员电话联系，说明原因即可。
💡注意：

120块/晚（可续1天+180元）；
宿舍物品齐全，一次性牙刷沐浴毛巾水等都有；

DAY2
上午多米诺装置
💡注意：

很考验团队协作能力，注意加分点关键点：“逆重力”和“多个运动物体”，想要实现这两个点其实有很多种方案，比如设计个类似于跷跷板的装置或者是滑轮把小球拉上去，中间装置也可以利用弹簧把小球弹起来等，我认为最主要的提前了解可以实现的方法但是不要拿出一个非常详细的方案；
如果是中间组要和前后两组协商好启动和结尾装置，并在汇报中体现，这点会很加分；
最终汇报我们是每个人汇报自己的部分，这里尽量多汇报一点，特别是自己的贡献以及团队间相互合作，这点也很加分；

–

下午个人面试：5分钟全英文pre+10分钟问答
💡注意：

房间和编号都是随机的，3个老师1个助教，老师都有个人简历无需额外准备，多针对ppt和你给的材料项目和简历。可以在ppt上下钩子，让老师往你想要的方向去问。（如上图）
面试过程中不怯场和自信的，老师可能全程低头，但不代表对你不感兴趣，可能正在深挖cv，主要还要个人引导吸引老师兴趣。
就目前申请来看，有无语言成绩影响不大。

(1)能问问是哪个hub的嘛
红鸟不看hub是让你从三个研究方向里面选一个然后在PPT里面展示出来（当然PPT不止这个，还有你的一些基本情况等等）

(2)请问面试中的十分钟问答是全英吗？
不是，五分钟英文pre+十分钟中文问答或者是五分钟中文展示，十分钟英文回答

(3)你好，请问可以先申请phd要是被拒了再申请后批次的mphil吗
可以呀，完全可以

(4)请问申请时需要上传签名推荐信和研究计划吗？推荐信是网推还是？谢谢
需要上传推荐信网推，后续老师邮件确定即可。研究计划可写可不写，实践证明不写也不影响面试

(5)提问问题
📖排名+能不能保研📖基本专业问题📖联系导师情况📖文章是否一作📖以后研究方向📖联系到导师后有无拿到PhD的offer

24Fall 第二批面经
主要材料:
CV，3封推荐信，论文和奖项材料，没写RP，但写了VS (科大特有的Vision statements)

Timeline:

2023.10.26 提交申请
2023.12.02 面试通知
2023.12.15 线下面试
2023.12.18 交齐推荐信
2023.12.26 收到研推信
2024.01.16 收到正式offer

面试经过：
主要分为两部分，上午的多米诺骨牌小组活动，以及下午的15分钟的个人面试（5分钟的pre和10分钟的提问）

多米诺骨牌面试个人心得（不一定对）：

① 面试者一共分为10个小组，每个团队会有2小时的时间来完成各自的多米诺骨牌，2小时到了以后，会有半小时的时间给每个小组的多米诺骨牌进行前后相互衔接。
② 一定要提前准备好整个机构大概的思路，第二批面试我发现大家变得很卷，都几乎有备而来，最后各组做出来的多米诺都很复杂，各种机关。如果临时临忙才开始设计多米诺，在有限的2个小时里会很吃亏。
③ 其实最后几乎没有一组是能够不人工干预地就能让多米诺骨牌完美触发的，几乎每组都需要中途手动干预。
④ 最后会有10分钟的小组总结环节，每个组员在评委老师面前，发表对活动的总结和不足之处。最后每个小组组员会对彼此进行匿名的贡献度排名。

个人面试PPT结构分为三部分，

①我的基本背景（院校，GPA，奖项，论文）
②我想从事的具体研究方向
③我选择这个方向和选择科广的原因

面试被问到的问题：

① 介绍一下你的这个科研项目？
② 你在这个项目里负责什么工作？
③ 这个工作用到了什么工具？
④ 你的未来规划，以及为什么要这样规划？
⑤ 确认了一遍我的GPA排名。
⑥ 你还申请了什么学校？
⑦ 你大学时期的最困难的一段经历，和这段经历的收获？
⑧ 怎么看待鹅坞冲突？（很搞）

港科广面经

上午：小组多米诺装置
挑战（两个小时制作+30分钟所有小组连接）
具体攻略网上都有，我就不详细叙述了。团队的人都很好，不过我们每次试验都成功结果最后出了岔子得手动触发。
建议是：不要纸上谈兵，如果团队某个环节陷入困境，那就剩几个人人找其他的事情做，连接的东西不用太纠结，可以先把能做的都做了再考虑连接。最后留下至少十分钟试验，如果剩有时间可以设计故事情节啥的。

下午：个人Pre➕Q&A（5min+10min）
个人pre：陈述人类未来健康技术/可持续生活/智能工业化（三选一）领域攻读哲学硕士（MPhil）学位的原因
很难量化我的ppt做的是好是坏，在这里就不和大家分享做ppt的思路了。

Q&A
具体问题如下（不知道有没有漏，反正可持续发展那一块拷打了很多我不会的东西）：

1. ESG是什么？可持续发展是什么？你怎么下一个定义？（前提：我论文有涉及到ESG）
1. 我看你的定义中更像是一个碳中和的概念，具体说说
1. 如果你进入rbm，想攻读的具体领域？可以说进入后想做一个什么样的具体课题吗？
1. 为什么想做这个领域？什么契机？
1. 可以说说是什么时候开始对这个领域感兴趣的吗？有什么相关科研经历吗？如果是一年前就感兴趣了，为什么一年下来都没有取得相应的成果？
1. 这个领域你掌握了什么技术？
1. 所以你在环境领域没有相关的技术吗？
1. 有感兴趣的导师吗？
1. 某个项目中具体做了什么工作？
1. 更未来的规划？
1. 绩点排名

感悟：

1.事实证明不用太准备专业课，因为很小可能遇到同方向的老师（cs专业当我没说），但是基本上ppt和cv的内容要熟悉😵‍💫
2.能说尽量多说，感觉就像是一个说服老师的过程。我就是说的太少了，面试得贼快。按网上看老师拷打得越久越狠兴趣越大？

ps.不知道是不是我太后面了，反正轮到我的时候感觉老师都累了，and我巨紧张语速特别快，不管是pre还是问答都剩余好多时间，第一个老师拷打完之后全场沉默然后我主动问了老师还有没有问题…最后还有一个老师甚至没问我问题🫠

24Fall 第六批面经
二月网申完毕，DIY，4.15邀面，4.26面试，5.8推研，5.27offer。面试时三位老师都很友善，给了很多积极反馈。

这一批我看见有116人面试，推研群里57人目前。面试录取率应该是50%
面试同学绝大多数是985的，中大华工的最多。也不乏gap 二硕或已工作多年的申请人

🧑‍🤝‍🧑群面 多米诺

6人合作，攻略帖很多，不再赘述
会有个组内互评环节，匿名给彼此排序🙀
⭐️我觉得在小组合作中你所展现的领导力，团队协作，创新和问题解决能力比结果更重要。
最后有个自我评价环节，老师评价环节

📝btw面试问题回忆如下：攒人品。

1. 为啥不在新加坡读来这里了？
1. 你对数据科学和生命科学哪个更感兴趣呢！
1. 有提前陶瓷了没呀你的RP是自己写的吗？
1. 设计一个课题吧（data mining相关，很搞🥴
1. 拿到offer的话会来我们这里吗会立马做什么
1. 长期长远的的学习or职业规划（eg 读博
1. 为什么选择这个项目？（因为IIP很感兴趣
1. 除了你选的研究领域外你还有什么感兴趣吗？
1. 你之前是不是全做dry lab，没有做过wet啊？
1. 还申请了哪些学校和项目？

HKUSTGZ MPhil 港科广红鸟24Fall面经

TL: 11.10网申～1.15面邀_2.4推研2.29offer

BG: 中游985 CS专业 GPA3.5/4 Ranking15% 校普奖/优生/优毕x5 科研经历x2 论文发表A会n作+C会一作+在投A会一作非大厂上市公司实习x2 大创x1 港三MSc应届生

面试流程：提前一天下午到校签到入住宿舍，5点集合有老师带着逛校园和面试场地，面试当天上午是小组合作完成一个多米诺装置，下午是15min的个人面试。

【关于小组合作】
5人小组（个别可能4～6），每组2个老师，总共2h时间完成装置，然后测试，理想状态是每个组直接被上一组触发，不需要人工介入跑完，然后也可以触发下一组，但实际上很难做到，我们这一轮10个组只有一个不需要手动介入。这一过程有一个打分表（邮件链接里就有），会具体根据装置的表现比如手动触发次数和运行时间等等赋具体的分值。整体运行完之后各小组会由那两个老师牵头进行总结回顾，每人要讲自己的贡献，讨论装置设计和实际实现中成功和失败的点，最后一人一个1min总结，以及微信扫码进行小组成员互评。

个人感觉，虽然评分表上面的要求很多很吓人，但似乎装置本身的分数并不是关键，从展示结果来看大多数组应该也都不高。更重要的还是考察小组合作中体现出来的沟通交流/分工合作/领导力/执行力/时间管理/情绪控制等能力。我们组的装置最后也需要多次手动介入且并没有顺利衔接上前后组，不过我们总结时仔细跟老师讲了设计思路，做的好的地方大家互相夸夸，不好的地方也大方承认，从结果来看应该还是得到了老师的认可。所以我觉得这个流程就自然真实地展现自己就好了。

关于装置，想提前找点灵感的话，之前也有帖子提到过，b站搜<哥德堡装置>就有很多。这类装置从上往下的部分很简单，有挑战性的就是设计让小球从下往上运动的部分。我面试前翻了翻b站，总结了一些常见的类型：

1 锤子型：重物转着下降把小球打上去
2 跷跷板型：靠不同力臂长度
3 电梯型：碰掉一个重物下坠，另一边用绳子拉着小球上升
4 荡秋千型：下行上抛轨道
5 弹簧型：从张紧状态释放，包括弹出和缩回
6 动势结合型：动态配重，把配重撞到跷跷板另一边
7 单轴板型：撞掉支撑板子的小柱使板子无轴端下坠打球

–

上午结束已经快12点了，下午1点就要开始，中间的时间基本只够吃个午饭。所以前一晚要注意休息，保持良好的精神状态，尤其是有午休习惯的uu

【面试流程】
首先还是在上午的地方排队签到，由机器抽签确定是哪一组第几号面试，然后到对应的组拷贝自己的PPT给老师，老师会在他们电脑上打开过一遍让你检查有没有问题，并签字确认顺序。等所有人完成，老师会统一带到候考区，简单讲解面试规则，然后就开始各个房间叫号了。每个房间有三个考官+一个助理负责计时，5minPPT展示+10min回答问题。结束后可以直接回宿舍收拾东西离校。

【关于分组】
分组应该是完全随机的，与背景和专业以及那个三选一的话题都无关。上篇有我的bg，是纯理工科，话题选的智能工业化，而我们组我的下一位同学则是纯文科背景，话题是可持续生活。所以就像很多面经提到的，考官不一定了解你专业上的东西，根据专业匹配度的不同，问题方向可能会有一定差异，所以在准备时专业上的问题和general的问题都要考虑。

【关于面试内容】
我这个组一开始两个老师先后用英文问了几个问题，我也用英文回答的，然后其中一个说“后面的问题我们用中文来吧”。听另一个室友说他们组是上来直接中文问的，所以这个也是不同房间不同情况，要做好可能需要英文回答的心理准备。

英文问题：问了一些PPT上展示的内容、发表论文的具体情况、有没有意向导师

中文问题：一些AI专业相关的问题、AI交叉人文学科的可能性、要我提proposal会选跟什么学科交叉、最后以面试官为跨学科合作者，让我模拟拉他一起搞研究（除了专业本身，交叉学科是个重要话题，算是科广特色）

另外，考官有你的CV和成绩单，可能会问这上面的问题，比如就问了我几门专业课分数不高的原因

【关于时间】
专人计时，PPT结束前1min以及回答问题结束前2min会举牌提示，到点也会提示，不过不是很严格的直接打断。我当时回答完倒数第二个问题就已经到点了，结果又有老师说“不好意思我再追问一个问题”

【关于套瓷】
我是提前套瓷了导师进行了私面，导师明确表示这个项目是纯committee录取，所以确实可以直申的。不过面试中有考官问到，我就直接把套瓷情况都讲了，表明我和导师都有意向，考官听了还说你导师很厉害的，我觉得应该有点印象分吧hhh

港科广面经（夏令营）
首先是进行5分钟的英文自我介绍（自我介绍英文就答辩中文，我就选了英文啦）
然后就是3个prof轮流问问题，有简历上面的，也有简历的延伸

第一个prof：

看你简历有搞机器人，可以简单说说MPC吗（我简历的延伸）？
（说不是搞这个方向之后）
可以说一下FPGA吗？（也是简历的延伸，不了解，在第一个问题说不好之后就应该说自己擅长的方向的。。猪b了哈哈）
在项目经历中遇到最大的问题是什么？

第二个prof：

本科GPA多少，多少名
说说pid和前馈控制（可能看我前面技术都不会）
你觉得你跟别的参加红鸟的人比，你的优势是什么？

第三个prof：（没时间了）

如果加入了rbm，未来想要的研究方向。

HKUST(GZ)面试经验｜MPhil适用

面试要求：口头报告（5分钟，用PPT）+ 问答环节（10分钟）

语言：因为这两个环节是选其一使用英文表达就可以，所以非英语native speaker直接选择英文报告，中文问答就好了，以便提前准备。
形式：zoom线上会议，提前测试好网络和双机位就好了~
面试官：基本是你报名的hub/研究方向的老师们，而且是年轻ap，比咱们大不了多少，非常友好~

口头报告（我的PPT从三部分展开）：

Summary of research work ：以项目形式介绍我的研究、实习和创新创业经历；总结我的研究技能
Why …（我选择的研究方向） 主要介绍自己的研究意向，其实就是rp里的研究背景、研究意义、文献综述等部分；如果已经写/构想过rp，就可以把rp里的主要研究内容和研究设计放上去，只放大框架就ok
What I can do in …（研究方向） 摆出来自己可以完成的任务，毕竟入学后就是要打工的，得让老板知道招了你以后你能干啥 😂

口头报告：

PPT的立意和主线一定是最重要的❗
老师会根据PPT内容提问，所以要对自己写的每句话负责
我觉得之前一个朋友说得很中肯，MPhil面试就相当于你硕士论文的开题答辩，所以至少要搞清楚你MPhil期间想研究什么并清晰地展示出来
PPT的样式真的不重要啦，简洁不丑就行，我就是拿一个空白PPT做的，没有任何模板，如下图👉

问答环节：

老师们基本上按照你申请系统上提交的CV和口头报告PPT里的内容提问
建议花时间吃透自己的所有项目/经历，搞清楚自己在其中的角色、职责/作用、获得了什么，以及这对读（这个方向的）MPhil有什么用
在过往研究项目里，老师可能更侧重于听选题来源、研究设计以及研究的具体落实情况
这个环节其实非常case by case，甚至可以说是free talk，所以深挖完自己的过往经历 + 研究规划以后放轻松，随机应变就好

🔸我认为面试能否顺利通过最重要的就是两点：

1.研究规划，研究方向和项目方向是否契合
2.研究能力，研究潜力是否过关

老师们招人就是来帮忙完成研究项目的，当然希望招那些与自己方向一致，技能素质过硬的学生➡️可以根据Faculty再确认一下老师们的研究方向（和面试官知己知彼hhh），同时梳理过往的研究经历、展示清晰的研究规划

🔹我个人的血泪教训：一定要把自己硕士期间研究规划说明白，不要一直展示那些CV、PS里已经提到的东西😭因为申请系统里的东西老师早已经读过了，而且同期能拿到面试的同学应该条件都不错，强调这些意义不大，反而会浪费和老师直接沟通的机会

🔸其他方面的小tips:

语言表达：逻辑清晰，分层/分点回答问题
性格表现：真诚且自信就好啦～

25Fall 申请背景

(1)

(2)

(3)

(4)

(5)

(6)

(7)

港科广寄送材料无需邮寄版（全）

港科广寄送材料无需邮寄版（全）
📚我们首先得知道自己需要准备（更新）哪些材料：

学位证和毕业证，可以通过学信网在线发送；
准备好成绩单，要有每个科目的那种，中文英文都可以；
成绩评定系统，也就是你们学校的打分细则，比如有的成绩有优秀（算95分），良好（85分）的那个；
雅思成绩也可以通过雅思官网来寄送，时间填你考试的时间！！！不是收到结果的时间。

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📌值得注意的: 成绩单和成绩评定系统这两个都可以通过带有学校后缀edu的邮箱发送。
我之前卡了个bug就是我们学校会有单独给我们寄送成绩单等的邮箱，填上自己的邮箱后就能收到，我就把自己的邮箱换成港科广的结果就验证成功了，再者可以联系你的辅导员给你想办法，我有同学就是辅导员给他弄成功了。
还有就是雅思成绩单，如果大陆考的就可以国内直接发邮箱过去，如果不是大陆考试的话你不挂梯子就需要联系外地的机构去发邮箱询问，比如香港的BC你就是需要询问后才会给你发送的。具体询问格式我放在下一篇。

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📚如果实在学校没有电子邮寄渠道，还可以邮寄过去：
对于纸质材料，联系申请人所在学校的一级行政部门(如学校教务处、档案馆)
i.直接将材料寄送给我们
ii.将由学校密封并盖章的材料交由学生寄送(仅适用于申请人所在学校不提供直接寄送服务)。

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🔍档案、团组织关系以及党组织关系转移怎么办理?
🔍党团组织比较简单，线上就行，档案的话如果是在广东省内读书的同学就可以不要调档函，如果省外读书的话就要调档函。

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🌏需要我校开具调档函请提供以下信息至档案管理处邮箱
①姓名：学生姓名；
②学号：香港科技大学（广州）注册的学号/申请号；
③身份证号码：学生身份证号码；
④所在培养单位：博士生-XX枢纽XX学域，硕士生-红鸟硕士班；
⑤联系电话：学生本人电话；
⑥入学时间：2024秋季、2025春季；
⑦档案存放地机构的准确抬头：如“深圳市人才服务中心”。

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🌏不需开调档函可以将档案直接邮寄至港科广

基本答疑

24Fall Timeline

港科广mphil申请文书写作思路和方法

1. 希望在粤港澳大湾区攻读博士/硕士学位的理由 (不超过 2000 字，包括空格) Reasons for wishing to pursue PhD / MPhil Studies in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) (up to 2000 characters including spaces)

写作思路: 夸自己强调科研和能力—夸学校的特色和模式—夸大湾区

(1) 从自身角度出发:
- ① 适当简述过去所取得的突出成绩，阐述这些成绩对你个人提升的作用，对你未来就读 MPhil 的作用
- ② 简述自己的研究经历或主题与港科广的三大主题的关系，阐述如何将自己的研究与科广的目标结合，如何继续利用机会去创新和发展
  (突出强调融合学科的概念，计算机类学科在这个上比较好写，左右都能站上边)
- ③ 融合新的板组+书院教学模式，阐述自己如何在这种小组项目式学习下提升，描述自己的发展意愿和方向
- ④ 更多的发展交流机会，学术会议，对外合作等
(2) 从学校角度出发: 夸一下学校定位、战略目标、模式等
(3) 从粤港澳大湾区发展角度: 实习、科研深造、创业就业等角度

最重要的是一定要在文书书写过程中突出你个人的特色：研究经历，项目成果，针对某一领域某问题的独到见解

一定要紧扣港科广所给到的三个研究主题进行书写，突出科广所在意的前沿，融合学科的特色，强调个人的创新能力和发展潜力

可以去官网看看老师最近的一些论文在研究什么，突出地写上一些问题创新的解决思路

自己的事情请自己放在心上，自己的研究方向和成果自己最清楚，不要总是想着依赖他人

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2. 长期职业规划，毕业后的目标和兴趣（不超过2000字，含空格） Long-term career plan, aims and interests for future development after graduation (up to 2000 characters including spaces).

基本逻辑：明确目标——自我评估和行业分析——意向工作领域或深造

(1)明确职业目标

短期目标：积累经验，提升专业技能，明确发展方向
长期目标：创业，读博继续深造

【角度1：结合专业领域某个未解决的问题展开，谈谈针对此问题的方法】
【角度2：量化目标，谈及未来的论文工作量，工作方向或职业内容】

(2)自我评估与行业分析

技能评估：定期自我评估，发现自身技能缺点并修正，持续学习保持行业发展的敏感度，参加专业培训、研讨会
行业分析：
- 市场研究：了解行业趋势和变化，例如科技发展、市场需求变化等
- 理论研究：了解该领域的理论或者技术困难，谈解决措施

(3)意向工作领域或深造

工作：谈论如何利用港科广的资源进行创业（地域优势，人才培养优势）
深造：尽量多接触读博的想法，并阅读感兴趣的导师最近的论文，讨论你将如何在该领域进行什么工作【突出融合学科特性】

【例：利用学习到的智慧交通数据分析能力，服务于大湾区智能交通系统的建设，实现可量化、超前的交通规划、交通流量控制】

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3. 你想要对粤港澳大湾区的研究发展和对社会的贡献（不超过2000字） Contribution that you would like to make to the development of research in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and to the society (up to 2000 characters including spaces).

(1)大湾区的发展现状和地位
粤港澳大湾区（GBA）作为中国经济、科技和文化的一个重要引擎，拥有雄厚的基础和发展潜力

【从经济、科技、文化等多个角度来谈论即可】

(2)科技创新和研究

参与前沿科技研究：结合自己的项目经历，谈论在读研或者工作期间如何进行技术的突破和研究
- 生物技术：我将利用 AI+生物技术相结合的新模式，提高生物医学检测的效率和准确度【专业角度】
产学研结合：与大湾区内的大学、企业和研究机构合作，促进产学研结合，推动科研成果的商业化和应用。尤其是在智慧城市建设、智能制造和绿色能源等领域，助力实现技术创新与产业升级。

【应该结合自身项目经历（2个左右）、大湾区发展的需求来谈论贡献】

写作思路：

第二个问题是关于长期职业规划、目标和发展兴趣：写作的时候应该着重结合科研目标或者就业目标进行深入阐述，抛出专业性问题，由浅入深
第三个问题是关于未来能为大湾区作出的贡献：写作的时候应该着重书写港科广的培养成果，能够呜呜大湾区经济科技等方面带来的进步和创新，应尽量往国家战略靠紧，进行宏大命题的叙述

注意事项：

水话写作内容不应该太多，要结合自身专业性进行写作
要结合自身比较突出的一两个项目进行关联写作
深入地就一个领域进行写作，要注意几个问题之间的关联性，不要造成前后矛盾的问题

港科广文书书写注意事项

1、注意与港科广招生主题的契合

① 融合学科教育: 时代背景下需要交叉融合能源、大数据、生物医学等领域的前沿技术才能推陈出新——“复合型创新人才”

② 教学创新: 枢纽+学域的模式，更加尊重学生研究意愿和个体化差异、实践和理论结合，以项目制为主导的小组学习模式，也采用双导师互选制+引导式教学，鼓励学生自我探索和发展——“以学生为中心”

③ 科研成果转化和应用: 科广支持校内科研人员与产业界紧密结合，将融合性科研成果进行转化落地以解决行业面临的现实问题
// 另一个角度：港校本来和港科广互补，形成人才和技术供应网络

④ 创新创业: 了解行业发展方向和需求，力求突破和创新，以粤港澳大湾区的经济一体化物理发展为动力，将个人事业目标与区域发展结合
建议阅读《科大战略计划》，契合科广发展理念和招生目标

2、少写水话，突出个人科研的亮点和特色

一些水话、术类不要写太多，起不了作用，仔细阅读一下目标板组的老师的相关研究方向论文，看看自己的研究方向能不能往上融合
突出更多一些专业性的问题和解决方法!!! (凸显个人专业性) (可以是抛出一些专业名词，或者就某一领域或未解决的问题提出出个人看法和意向描绘

3、文书只是辅助作用，面邀和录取看机缘和背景

就目前的形式来看，港科广 mphil 的毕业要求也很高：要求第一作者或者共同一作者的发表论文 credits 不低于 8 分，至少一篇 Journal+Conference，且对论文级别也有严格要求
文书写得天花乱坠、没有真实事，大概率被枪灰，有很多 Top 985 面试被淘汰的，“学校背景+科研能力”才是竞争的核心，不必拿少数被录取的个例来印证港科广的 bar 变低，反而是随着信息的公开，bar 越高越高

4、确保文书内容无误，申请流程无误

VS 和 RP 一定要好写!!! 尤其是 RP，这几乎是整个文书的核心，RP 能凸显你的个人潜力和研究水平，不写或者就算入面也不会给老师留下好印象

5、科大战略计划

港科广Mphil的申请材料中比较大家比较关心的就是RP研究计划和Vision statement（类似PS）这两个东西了，当然不代表RL推荐信和CV不重要哈

在23fall这两个材料不是以上传的方式填写而是以QA形式在系统提交

RP需要回答的三个问题总结为：

(1)过往相关研究经历
(2)研究主题（价值意义）
(3)研究计划（目标和方法）

具体解释在下图中列出只要按照你感兴趣的调研过可行的方向写好研究问题挑战背景以及方法即可

(1)这个要求是想要了解您在研究方面的经验和能力。如果您参与过研究项目，可以详细介绍您在项目中扮演的角色，以及项目的主题和目标是什么。如果您没有参与过研究项目，您可以分享一些与学术背景或其他经验相关的信息，以证明您有进行拟议研究项目所需的能力和资格。

(2)要求描述拟议研究主题，包括研究的一般领域和具体研究问题。研究主题应该是切实可行的，有实际意义，并且具有学术价值。可以简要说明为什么您选择了这个研究主题以及研究对于现有的学术和实际问题有何帮助。换句话说，就是我们想知道您计划研究的是什么，为什么这个研究对现实很重要，还能对学术界做出什么贡献。

(3)这个填写的是研究计划的主体，包括你的目标、方法、经验和初步结果（如果有）。解释你的计划为何重要，有什么新意，以及预计会有什么影响。如果有参考文献，请提供，并确保你的计划具有清晰、可行和可复制的特点，其他人可以在需要时重复或扩展你的工作。

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VS的四个问题是:

(1)希望在粤港澳大湾区攻读博士/硕士的原因（up to 2000 words）
(2)毕业后的长期职业规划目标和兴趣（up to 2000 words）
(3)您希望对粤港澳大湾区的研究发展和社会做出的贡献
(4)您希望通过您的拟议研究计划展示的知识愿景和愿望

可以看到两个问题是关注到个人研究方向和未来规划，两个问题是与大湾区相关，所以和研究计划也是有一定关联，特别是rp的第一个问题相关经历是可以紧紧联系起来的（至少我是这么做）

我们可以从RBM红鸟mphil的培养模式去看，和传统mphil不同，是依托于项目制度，先探索一段时间跨学科组队围绕申请的三个大主题：智能工业，可持续发展，医疗健康来做项目，每个人的研究方向可以细分擅长的领域，分工完成项目，半年后确定方向后选择导师，导师也是在细分的专业领域进行指导

因此，VS的撰写我们可以讲好自己的故事线，重点从相关项目经历在港科广交叉学科的培养下能够发挥怎样的优势，自己对此有怎样的规划，以往的项目产品和未来的研究计划可以怎样进行一个联系结合，落地到三大研究主题：智能工业，可持续，医疗健康上面，把自己的整个故事串连清楚，会更让人印象深刻！

所以VS的主体以项目入手，表明三大主题归属，这个研究方向对粤港澳大湾区发展意义在哪里，RBM的学科融合怎么帮助我实现，因此我非来港科广不可

Vision Statement样例:

Part 2: Vision Statement

(1) Reasons for wishing to pursue PhD / MPhil Studies in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) (up to 2000 characters including spaces).
= why major + why school [why GBA]

My interest in Augmented Reality (AR) arose from both academic inquiries and practical experiences. During my studies at Parsons School of Design, my exploration of AR has instilled in me a deep understanding of its potential to provide a more immersive, three-dimensional interactive experience that emphasizes the significance of the present moment. Throughout my academic journey, I have been fascinated by the possibilities of AR in providing a canvas that extends to any space in the real world. Consequently, I have dedicated myself to pushing the boundaries of experience design and the application of AR technology with the support of pursuing postgraduate study at HKUST(GZ) in the GBA.

The MPhil program tailored by HKUST(GZ) enchants me with its innovative academic framework that expertly facilitates cross-interdisciplinary education. My booting zeal in Artificial Intelligence and Computational Media and Arts under the Information Hub assures me of its being the indefectible choice for my further education. Furthermore, GBA is a bellwether administrative region that has built a complete industrial chain ecology covering major national science and technology infrastructure in key disciplines, demonstrating the region’s strong inclusiveness and policy encouragement for scientific and technological innovation and entrepreneurship. It is why I chose [BLANK] as the incubation site of my company upon returning from the U.S. In 2022, I was honored to be invited by the GD, HK & Macao (International) Youth Entrepreneur Hub to become one of the innovative enterprises. The support and advantages we enjoyed boosted my confidence in my decision and inspired me to root here and grow stronger.

In a nutshell, the MPhil Studies program at HKUST(GZ) aligns perfectly with my educational goals. This opportunity channels my passion towards making a meaningful impact on the world with AR and AI technology that will be integrated into my company’s strategic development.

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(2) Long-term career plan, aims and interests for future development after graduation (up to 2000 characters including spaces).
= career plan

Upon graduation, my top priority targets iteratively upgrading the current three business areas of [REDACTED] through innovative technology entrepreneurship. The theoretical knowledge, cutting-edge insights, and the brilliant like-minded I am thrilled to obtain and meet at HKUST(GZ) will definitely pump great power into my career blueprint.

I sketch out [REDACTED] Technology’s future by extending the three main business areas with AR technology regarding visualization, systemization, and interactivity. For instance, product promotion integrated with AR technology can visualize the cultural spirit behind the brand with a visual impact in a novel form, building a bridge between products and customer needs. The success with the Italian shoe brand Vibram tested the accessibility of my envision. In this case, the ideation team implanted the concepts of “sustainability” and “natural innovation” into an AR experience to bring the vivid 3D video of natural shoe-making materials being breathed into the sole, dyed and recycled into a giant tree to customers’ eyes. The support of AR made the simulation of this unseeable phenomenon a reality and may create more possibilities with the interfusion of AI. Likewise, our business cases of space optimization and social interaction have generated hundreds of AR experience designs and immersed thousands of players (customers) in various offline implementations.

Individually, my pursuit also goes toward connecting AR projects with the manifestation of various social values and perspectives, contributing my part to demonstrating the diversity of society towards economy, culture, psychological demands, and more. I aspire to lead [REDACTED] Technology to forge ahead into a global enterprise rooted in social responsibility, powered up by springing innovation and driven by state-of-the-art technologies.

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(3) Contribution that you would like to make to the development of research in Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and to the society (up to 2000 characters including spaces).
= your past academic and professional achievement

The Chinese economy is facing the arduous challenge that the real industrial business is experiencing a slowdown. As the “14th Five-Year Digital Economy Development Plan” states, solutions can be identified by deepening the integration of AI, virtual reality and other cutting-edge technologies to support the construction of offline consumption scenes. Accordingly, the GBA has been taken as a demonstration site of high-quality development, playing a fulcrum role in strategic competition, and is working on strengthening virtual-real interaction and aiming at breakthroughs in AI application scenarios.

My past two-year startup and management experience of a technology-driven company in Guangzhou has equipped me with valuable hands-on AR application experience in which around [REDACTED] players were engaged in over [REDACTED] commercial campaigns. The feedback and knowledge obtained from these real projects will keep directing my team to optimise virtual applications by incorporating AI technology, bringing more versatile and exceptional experiences to their users in the Greater Bay Area. Academically, I am currently fascinated by the application potential of AR-plus-AI technology in enabling shopping centres, cultural tourism, brand stores and other offline spaces to drive industrial advancement and achieve intelligent transformation. Therefore, I am ardent to integrate my experiences into research and conduct a fathom on this subject under the guidance of my supervisor, contributing my dedicative work to the GBA’s research development in focal fields.

In closing, the economic growth of GBA is a comprehensive goal that can be achieved to a higher standard by tactically coping with the synergistic relationship between extensive research and guidance from practices. On the path to realising my academic and professional goals, I am thrilled about playing a part in the GBA’s development substantively and theoretically.

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(4)The intellectual vision and aspirations that you would like to demonstrate through your proposed research plan (up to 2000 characters including spaces).

Since my second year at college, I have mainly devoted myself to studying the potential of mixed reality in the offline entertainment industry and successfully composed a business plan for a prototype based on in-depth background research, diversified research methods and speculative design. That is the first time I have systematically unearthed the likelihood of increasing the utilisation of brand space by implementing AR, endeavouring to achieve dematerialisation in offline experience on top of spatial activities.

Inspired by the recent advancements in Generative Interactive Environments, I am eager to leverage the integration of AR and AI technology to create dynamic interactive environments that respond instantaneously to players’ feedback, to unlock new engagement possibilities. Therefore, the multi-scenario applications of AR-plus-AI technology are selected as my intended research focus for my postgraduate education. Technically, I aim to resolve the puzzle concerning how to elevate the productivity of AR spatial experiences by incorporating generative AI while contently generating diverse, high-quality themes catering to business needs, social needs, and spiritual attachment with a fusion of reality and imagination. HKUST (GZ) is chosen as my dream school as it is reputable for inclusiveness and innovation and is regarded as an ideal incubation site for critical and innovative thinking, upholding world-class academic pursuits and science-driven entrepreneurship.

I firmly believe that theoretical knowledge and practical experience are inseparable components of creating higher value and better social impacts. Envisioning a future, I aspire to expand [REDACTED] into a dynamic, empowering and adaptive technology enterprise proficient in creating ingenious solutions for AR spatial experience, benefiting people of all ages and all walks of life in imaginable ways.

26 【港科广硕士申请个人陈述怎么写？ - 静静PhD MPhil | 小红书 - 你的生活指南】 😆 zBiPwBWw15a9XUk 😆 https://www.xiaohongshu.com/discovery/item/667015de000000001c035fe8?source=webshare&xhsshare=pc_web&xsec_token=ABy0hem38mCpw0nH9pQF3iFNuxVpMIMzlfa91uosTaU7g=&xsec_source=pc_share

科大战略计划

Established in 1991, HKUST is now a globally respected university and contributes both locally and internationally to talent development, new knowledge and societal interests. Being international is an intrinsic element of the HKUST spirit. The University was founded on the principle that education, original scholarship, and the development of society are integrally linked and best pursued together. We believe that humanity’s advancement is generated through the fostering of an international community and the nurturing of individuals through holistic education, original research, and knowledge transfer into the wider society.

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Overview

HKUST’s journey has been nothing short of extraordinary. In just three decades, we have grown into a globally recognized academic and research institution. We are eager to embark on the next phase of development with the new Strategic Plan 2031.

Building upon the preceding Plan and incorporating the HKUST 3.0 Vision Plan launched in 2023, the new Plan features new strategies to navigate changing circumstances and achieve the next level of excellence. Through extensive discussions and engagement with the University community, including alumni, students, faculty and staff, as well as the Court and Council, the Strategic Plan 2031 reflects our collective aspirations for the future.

In summary, the University seek to become:

A University of Talents
An International Leader in Education and Research
A Visionary of Innovation and Entrepreneurship
An Exemplar of Best-in-class Sustainable and Quality Practices
A Champion of Diversity, Inclusiveness, and Openness

As a place of inquiry(研究), HKUST is dedicated to（致力于） delivering(带来) transformative changes in teaching, learning, research, knowledge creation and transfer as well as contributing to economic and societal development. In pursuit of our aspirations, we bring together the best minds and create a conducive learning and working environment. The University is uniquely positioned to tackle the complex global challenges that lie ahead. Our strength lies in our ability to anticipate changes and respond with agility, while empowering each other to swiftly adapt to new circumstances.

Looking towards our 40th anniversary in 2031 and beyond, our recalibrated Strategic Plan serves as a compass, guiding our path towards more expansive possibilities for continued growth and development.

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A UNIVERSITY OF TALENTS

What makes a university great is its people. Our highest priority is to attract, nurture, and retain exceptional talents who will shape the future of HKUST. To extend our global reservoir of minds and abilities, we will innovate our approaches in recruiting a diverse and talented cadre of students, faculty, and staff. By creating an environment that empowers and encourages our members to unleash their multidimensional potential, together, we will build a community of lifelong learners and innovators – a community that can make a difference in the world.

Quality Students with Diverse Backgrounds
Our goal is to build and develop a diverse and vibrant student population of varied excellence. We have rolled out comprehensive outreach campaigns in Hong Kong and the targeted countries to recruit prospective students, using both in-person activities and online platforms to give them a taste of the “HKUST experience”. Through attracting students with diverse talents and backgrounds through flexible/ targeted admissions, scholarship schemes, and other incentives, we contribute to Hong Kong’s transformation into a regional education hub.

The University is committed to supporting students’ growth through a variety of programs and services. Outside the classroom, comprehensive student support will be offered, including service learning, wellness resources, career planning, and leadership training. With the expansion of student spaces, from hostels to co-working areas, students will enjoy a vibrant campus life with multicultural integration and varied possibilities. Community-building initiatives will be expanded to enrich the HKUST experience and deepen students’ sense of affinity to our community where they develop confidence, capacity, and networks.

High Caliber Faculty Across Disciplines
Our academic standing is contingent on our ability to recruit and retain the most talented individuals from around the world. Our faculty members, with different perspectives and experiences, are a source of the University’s strength. To this end, we will continue to undertake a global faculty search in the selected areas and innovate our faculty recruitment and appointment process to attract the best minds to support our education, research, and innovation endeavors.

The faculty reward system will continue to be reviewed and enhanced to ensure competitiveness on a global scale. In addition, we will support the development of young faculty through a faculty mentorship mechanism and other resources, as well as strengthen ties within the HKUST community by promoting interaction and collaboration among faculty members.

Skilled Staff with Various Experiences
Our staff members play a vital role in every aspect of our mission. HKUST will recruit staff members effectively and competitively in every role, and position itself as the top “employer of choice” by offering a supportive and dynamic work environment and ensuring competitiveness in the market.

A priority is to strengthen a performance culture that rewards outstanding performance and offers career advancement opportunities. This will involve supporting staff learning and development through leadership and management training for middle and senior management, as well as upskilling programs on emerging technologies. By enhancing communication with staff, we will work together to make HKUST a powerhouse of innovation and achievement.

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AN INTERNATIONAL LEADER IN EDUCATION AND RESEARCH

HKUST aspires to take a leadership role in driving positive changes in education and research, empowering the next generation to address global challenges. Expanding our academic horizons and capabilities will push the boundary of excellence. Our innovation approach to education equips our students with the knowledge, skills, and mindset necessary to shape the future. We aim to unveil discoveries and applications in essential and emerging areas that have the potential to bring about transformations in the local, national, and global communities.

Nurturing Talents for the Future
University education is an important stage for students to develop the mindset and the ability to face and overcome challenges of tomorrow. With that in mind, we are constantly upgrading our curriculum to align it with broader societal goals on the future of our living, work, and people. In addition to advancing disciplinary learning, interdisciplinary education will be promoted to generate new visions and scholarship. In collaboration with The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), students will be offered access to the expanded learning resources under the Cross-campus Enrichment Program. Furthermore, both young and mature students will benefit from more lifelong learning opportunities designed to equip them with the skills to thrive in the face of evolving societal needs.

Ongoing enhancement of teaching is another focus. Participatory learning will be enhanced by adopting educational technology tools. We bridge education with the skills of the future by continuously enhancing the Common Core Program and other initiatives. In addition, HKUST will continue to empower faculty to develop innovative pedagogies by acknowledging and promoting exemplary practices.

Beyond the transmission of professional knowledge, one of our key approaches is the provision of whole person education to our students. Our courses and extracurricular activities equip students with intellectual and ethical tools to understand themselves, their surroundings, and how they can contribute to society, both locally and globally. The persistence in improving our education offerings will ensure that our students realize their full potential.

Expanding Academic Frontiers
HKUST spares no effort in reshaping boundaries of knowledge. Our goal is to innovate medical care alongside biomedical research by nurturing future-ready physicians with medical competence and a strong research foundation, and transforming discoveries into new diagnostics and therapeutics.

Another direction is to foster a fusion of innovation and humanities. A new academic unit will be established with the aim to become a leading interdisciplinary center where technology and art converge to fuel innovation. In partnership with different parties, we will promote innovation in sports science and optimize elite athletes’ performance in international competitions by leveraging our strength in interdisciplinary research.

Pursuing Research Excellence
Our goal is to grow our leadership in research. We foster interdisciplinary collaborations and drive research breakthroughs by launching thematic research schemes. To further create interdisciplinary opportunities, our faculty members are encouraged to collaborate with peers and capitalize on the research resources at HKUST(GZ). Through the HKUST Global Knowledge Network and other efforts, we will continue to establish partnerships with prestigious institutions across regions, widening the breadth and depth of international research collaboration.

It is equally important to provide an environment that fosters research excellence. Talent development plays a crucial role in propelling discovery. The University will explore ways to empower research units to attract faculty and research staff by creating and implementing innovative recruitment mechanisms. Physical research infrastructure will be maintained and upgraded to facilitate our faculty’s exploration of the unknown.

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A VISIONARY OF INNOVATION AND ENTREPRENEURSHIP
A spirit of innovation has taken root at our University. The HKUST Entrepreneurship Center, established in 1999, was the first of its kind among Hong Kong’s universities. Being proud of our accomplishments, we must further our efforts to become a visionary of innovation and entrepreneurship. Strengthening our innovation ecosystem will synergize different segments of the entire spectrum from research to impact, and nurture the next generation of entrepreneurs and innovators to create economic and societal impact.

From Discovery to Impact
With a rich history of translating discoveries into solutions, HKUST is well-positioned to contribute to the development of Hong Kong into an international innovation and technology hub. We bring innovation to the world effectively and deepen the reach of our impact. Strengthened collaboration with governmental, industrial, and community partners will bring in greater support and resources to accelerate the transformation of discovery. Apart from technology translation, we step up our efforts to transform cutting-edge research into meaningful non-technological solutions, such as evidence-informed policy ideas, for the betterment of the community.

Another direction is to develop critical innovation infrastructure and programs for knowledge transfer endeavors. We will improve the competency and capacity of our knowledge transfer units and upscale our investment capacity sustainably to support the growth of HKUST innovators. A critical direction is to develop innovation facilities in off-campus site(s), which will facilitate university-industry collaboration and strengthen our innovation ecosystem in the long term. Looking beyond Hong Kong, the University will enhance our knowledge transfer collaborative framework in the Mainland to synergize the development of our existing Mainland platforms, new innovation centers in strategic locations, and cross-campus innovation pursuits. At the same time, a network with global incubators will be established to advance our innovation with more collaborative possibilities.

Fertile Ground for Entrepreneurs
Since the early days, HKUST has been a place that promotes entrepreneurial spirit by providing a variety of entrepreneurship-related initiatives, including formal education and other activities, across multiple units to support our members in their business journey. Now, the University recognizes the need to coordinate all these entrepreneurship education efforts across students of different interests and backgrounds to maximize benefits and optimize delivery. A review of existing entrepreneurship programs and activities will be conducted. Additionally, we leverage our dynamic alumni community to fuel entrepreneurship through university-wide activities and targeted programs for innovators and founders.

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AN EXEMPLAR OF BEST-IN-CLASS SUSTAINABLE AND QUALITY PRACTICES
A dual emphasis on sustainability and quality is at the core of our best-in-class practices. We will embody our innovative spirit to develop and uphold the best practices of campus development, financial management, as well as data and digital strategy. We also uphold sustainability as a guiding principle in all our operations while achieving our aspirations.

Enabling Environment for Our People
To strengthen HKUST’s world-leading position in education, research, and knowledge transfer, we commence campus development projects to address short, medium, and long-term spatial needs. In the near future, this will involve setting up a new town facility in Kwun Tong to provide additional teaching and office spaces, and, in the medium term, building new facilities under a Campus Development Plan. In anticipation of development of HKUST in the next decade and beyond, we must take decisive action to acquire and develop off-campus land sites for new initiatives with lasting impact. Concurrently, a Campus Renewal Plan will be in place to guide the maintenance and improvement of the existing campus facilities to enhance the campus experience.

Apart from physical infrastructure, we must also create and uphold a digital environment that unlocks potential of our people. Doing so requires enhancement of digital and data capabilities of our members. We will not only ensure timely and sufficient provision of digital tools but also foster a culture of data literacy and digital adaptability on campus. A key element is to forge a robust data strategy that guarantees data quality, security, and accessibility. Investment in hardware infrastructure, including high performance computational facilities, is also essential in the fast-changing environment.

Sustainability for the HKUST Community and the World
Striving to be a sustainability leader across the region and beyond, HKUST is taking various steps to renew our commitment to net zero carbon. A notable way is to meet the measurable targets of the ongoing 2028 Sustainability Challenge in areas of energy, water, landfill waste, biodiversity, and wellbeing. Another critical step is to develop and implement a Net Zero Action Plan that aspires to achieve the net zero emissions goal by 2045 through new building standards, operation improvements, sustainability education, knowledge advancement, and investments. Together, we will create the conditions for the HKUST community to thrive sustainably within planetary resource boundaries.

The University recognizes that our aspirations will require additional financial resources. While exploring different financing options and seeking to diversify our income streams, we will exercise prudence in financial planning to ensure adequate resources for our existing operations and new strategic initiatives. Our fundraising capabilities and support network will be advanced and extended for sustainable development of the University.

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A CHAMPION OF DIVERSITY, INCLUSIVENESS, AND OPENNESS

HKUST takes pride in being a community that celebrates diversity and values individuals with varying backgrounds and perspectives. To further harness the power of diversity, we plan to widen our efforts to recruit diverse talents and fortify our alumni community worldwide. Given the current geopolitical situation, it is crucial that we create and maintain an inclusive and open environment and expand our partnerships from all over the world in order to ensure our continued success.

From Diversity to Infinity
HKUST values and respects the diversity of people, experiences, and ideas. The strength of different perspectives and open-minded inquiry underpins our academic vigor and creativity. We are expanding our efforts to attract faculty with different backgrounds from around the world to advance scholarship and uncover new discoveries. We celebrate and support students of diverse cultures, abilities and achievements with targeted admission and scholarship schemes, unleashing their boundless potential.

Our alumni are a valuable source of diversity. As the alumni network continues to grow and expand geographically, our alumni bring new perspectives and ideas to the HKUST community, sparking innovation and creativity. We strengthen the relationship between graduates and the alma mater through alumni groups/ associations and university-wide events. We also cultivate a culture of care through alumni mentorship programs and the concept of alumni relocation hosts.

Celebrating Inclusiveness and Openness
Creating and nourishing an inclusive and open environment is a vital component to our commitment to diversity. By promoting diversity and equal opportunities, expanding community engagement initiatives, as well as offering inclusive facilities and services, our members are encouraged to embrace and value differences, to learn from each other, and cultivate a mindset that supports inclusiveness, collegiality, and respect. We also foster open communication through thematic academic events, information sharing, and creative arts.

Global connectivity and Mainland engagement are fundamental to our excellence. The University reaffirms its commitment to being an open academic nexus that appreciates diverse ideas, welcomes competing perspectives, and embraces new opportunities. This will be achieved by overseas thematic research collaboration, international academic alliances, amplified communication of our achievements with the world, and hosting major global academic events. To deepen our collaboration with Mainland partners, we continue to expand our footprint in strategic locations, and leverage our Mainland platforms in Shenzhen, Foshan, Guangzhou, and Beijing as well as our strategic partnership with HKUST(GZ). Additionally, we provide more and more global and Mainland learning opportunities to students to broaden their horizons.

FIVE STRATEGIC OBJECTIVES
The new strategic directions reflect our priorities for the upcoming stage of growth. Our goals are not only to maintain and enhance HKUST’s world-leading position in education, research, and innovation, but also to address the complex global challenges facing society.

THREE FUTURES

Substantial transformations across sectors will arise in the years ahead due to technological advancements, global environmental challenges such as climate change, and the growing importance of holistic well-being. As a future-focused university, HKUST refreshes the University planning framework known as The Three Futures of Work, Living, and People, a continuation of the last Strategic Plan, to address the future challenges of humankind envisioned.

The Future of Work: Symbiotic Technological Innovation
The “Future of WORK: Symbiotic Technological Innovation” acknowledges the symbiotic relationship between human workers and intelligent machines in advancing future innovation. Against a backdrop of intelligent industrialization, our emphasis is on harmony between AI and robotics to complement and augment human capabilities, creating a collaborative partnership.

The Future of Living: Sustainability and Quality
The “Future of LIVING: Sustainability and Quality” emphasizes not only sustainable conduct but encompasses the broader quality of life for generations to come in light of the global environmental transformation. Apart from aspiring to be a leader of sustainability, our commitment extends to improving living conditions and maintaining the delicate balance of our ecosystems.

The Future of People: Well-being and Creativity
The “Future of PEOPLE: Well-being and Creativity” recognizes the interconnection between health and creativity. Healthy people have more energy and clarity for creative endeavors; meanwhile, engaging in creative activities benefits well-being by relieving stress and lifting mood. This holistic approach deepens our understanding of the human condition and creates environments that nurture both creativity and overall well-being

Integrating the Three Futures – a Unified Approach to Tomorrow’s Challenges
The Three Futures are inter-related and converge to create the interconnected foundation for a Smart and Sustainable Society, ensuring our institutional endeavors stay future-focused and responsive to the evolving needs of the society.

关于涉及到港科广的评价问题

Link：博一连发两篇PRL！他用学科融合感知量子信息的奥秘

国内有许多研究量子技术的知名高校，为什么选择来港科大（广州）读博？

之所以选择来港科大（广州）读博主要出于两方面原因：

一是因为校长倪明选教授提到学校以融合学科为特色，为高质量发展提供新动能。我感兴趣的量子信息与量子计算领域正是典型的融合学科，和学校的教学理念非常契合。
二是希望能跟随我的导师王鑫老师的脚步，在量子信息、量子计算领域取得更多突破性进展。我与王鑫老师相识于百度量子计算研究所期间。从研一实习遇到他，到现在成为他的博士生，王老师不仅指导我的科研进步，更在工作生活的各个方面，潜移默化地影响着我。

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如何看待跨学科科研？你认为，自己的研究方向未来在社会中将扮演怎样的角色？

我深感当今很多前沿科学都是跨学科的产物，学科交叉融合能产生"1+1>2"的奇妙化学反应。

而我的研究方向——量子人工智能，一方面我们希望用经典的机器学习方法去解决量子信息领域的诸多困难问题，促进量子信息技术的发展；另一方面，我们很期待在量子计算机上发展新型的机器学习算法，利用量子信息处理的独有特点，进一步赋能人工智能技术。

量子计算是典型的融合学科，涉及物理、数学、计算机等学科知识的交叉融合。我相信量子人工智能作为一个崭新的研究方向，会在未来的量子计算产业中扮演重要角色，对基础科学研究、社会经济、科技创新、国家安全等方面产生深远影响。

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在完成科研工作的过程中，总有各种困难，是什么支撑你不断前行？
在完成研究的过程中，最大的挑战是如何在遇到瓶颈的时候坚持下去，而团队成员之间的勉励、支持与配合，不断形成正反馈是我前行的动力。

此前工作中，我们的科研工作也并非一帆风顺。在工作初步完成后，我们会将一份预印本上传到arXiv的网站上。这个网站，类似科研界的“小红书”，每个人都可以一窥即将新鲜出炉的研究成果。

你知道，地球是圆的、各地时区不同，日本的朋友最先起来，发邮件给我们论文提了意见。紧接着，一位欧洲的朋友起床，为我们送上邮件“惊喜”——“在其他相关的工作中出现过与你们类似的想法。”

这个小插曲，虽然一开始让我们措手不及、十分沮丧，但也让我深切地意识到了科研不易，更吸取了教训：必须十分严谨地面对学术、面对科研，不可有一丝丝的松懈和想当然。

此次刊登在《物理快报》的论文“Reversing Unknown Quantum Processes via Virtual Combs: for Channels with Limited Information”，背后亦是充满曲折。依稀记得项目刚开始时，我兴致勃勃，但后来一度发现是自己想简单了，找不到可以继续深挖的研究点。某一天，在想要放弃的边缘，我和合作者正随手跑着一些实验，竟突然在实验现象中发现了新的方向，这让我们很欣喜。我们大家经常会在线上线下分享自己的想法，王鑫老师也往往可以对我们的想法和建议进行把关，抓住重点和主线，减少弯路。正是这种团结协作的氛围，推动科研之路持续发展。因为，我们会把完成的“paper”，看成一件由我们共同精心雕琢的作品，而不是导师布置给每个人的一项作业。

交流讨论对于融合学科和理论研究有很重要的促进作用，课题组开放的讨论氛围和交叉的学科背景为量子计算提供了很好的研究环境，我们经常一起在会议室讨论，相互启发。遇到关键点，王鑫老师也会在会议室和我们一起讨论和推进项目，直到深夜。

目前，我所在港科大（广州）的量子人工智能研究课题组已经活跃在领域内的各种国内、国际的学术会议和论坛，不断形成的正反馈能支撑我时刻保持最佳状态。

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在港科大（广州）就读已有一年光景，和我们谈谈就读体验吧？未来的博士生生涯有什么规划么？

入学港科大（广州）一年以来，我感受最深的，是这里无处不在的科研氛围和创新创业精神。学校提供的软、硬件资源都让我们的科研生活十分有保障。

现在，我每天的时间主要用在研究项目上，也会参加一些学术会议。在导师和学校的资助下，我于第一学年参加了在英国爱丁堡大学举办的量子计算会议QCTiP，参加了合肥国家实验室举办的量子信息青年论坛，以及在日本北海道大学举办的AQIS2024。这些会议经验是快速扩展视野，增强与国内外专家学术交流，了解新兴方向的进展，以及算法、软件、硬件、产业各个方面的前沿的绝佳途径，帮助我更好地朝着世界最先行的学术方向前进。

未来几年，我计划继续潜心钻研量子信息与人工智能理论，争取取得更多原创性成果。毕业后，我期望能继续在量子科技领域深耕，成为一名世界一流的科研工作者。如果有机会，我还期待能到世界顶尖的研究机构从事博士后研究，进一步拓宽研究视野、提升研究水平，在一个重要的方向上不断深入直至突破。

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新学期已经开始了，可以向后辈们分享下你的科研经验、建议么？

在完成科研的过程中，要坚持自己喜欢的事，想办法把热爱变成事业。换句话说，我们一定要对自己做的内容感兴趣，搞明白自己为什么要学这个专业、为什么要做这个项目。

另外，也欢迎准备深造的朋友来港科大（广州）。首先，这里有一流的师资力量和科研平台，诸如量子计算、人工智能、数据科学、智能制造、先进材料等前沿学科与重要发展方向，为我们提供探索交叉学科和培养国际化视野的路径。其次，学校全方位的支持，能够让学生全身心投入学习研究。

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你是如何找到并确定自己的科研方向的？

我目前的研究兴趣集中在量子信息和人工智能的交叉领域，这也是当前国家战略需求的一个重要组成部分，在当中我找到了自己感兴趣的量子信息方向。量子计算能为经典机器学习算法带来新的思想和范式；另外，机器学习和优化技术也为量子系统的控制、纠错提供了新路径。

目前，国内这一领域的研究团队在逐步变多，大家的合作交流也逐步加强。探索这条科研道路，其实是个动态调整的结果——这当中离不开老师的指引，在研究中寻找兴趣，获得正反馈或负反馈，不断探索迭代，从而确定适合的研究方向。

选择之外，仍有选择。比如我本科阶段选择了学习数学专业，这是兴趣使然，也是对未来的一种待定，我希望能从数学的学习中打好基础，而不是过早为自己“塑形”。

数学，让我在未来遇见更多可能性。

事实上，港科大（广州）对本科生的教育模式也有此考量。本科生入学后，前两年不分专业，主要进行本科通识课程和专业基础课程学习，学生在大二学期结束时进行专业选择。

科研人到底做什么，以及他们的日常又是怎样的状态？在真正步入研究生学习之前，我并不知道答案。这个暑假，我们组来了一名新成员——一位大一本科同学。他通过“本科生科研项目”加入我们，而我恰好成为他的科研项目助教。与他携手完成项目时，我突然意识到开设这一项目的必要性——本科同学可以很早接触到科研工作者的日常工作，与我们一同参加领域内各类国际会议，这对于有志投身科研事业的学生而言，是非常难得的机会。

This is like interviewing a supervisor—you definitely want to understand the supervisor’s character, research direction, and strengths. The same goes for choosing a school; you also need to understand the school’s philosophy, strengths, and the kind of talent it seeks.

Link: 媒体聚焦 | 倪明选：香港科技大学（广州）——推进教育、科技、人才一体化融合发展的探索与实践

香港科技大学（广州）（以下简称“港科大（广州）”）作为教育、科技、人才的天然交汇点，在教育改革、科技创新、人才引育“三位一体”融合发展方面做出了以下探索：

1. 建设世界首所融合学科大学，推动中国乃至世界高等教育范式改革；
1. 支持发展尖端科技，助力粤港澳大湾区科技创新和国家高水平科技自立自强；
1. 重视引育创新人才，全面提升拔尖创新人才自主培养能力；为加快建设教育强国、科技强国、人才强国作出贡献。

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教育改革：探索建设世界首所融合学科大学，推动中国乃至世界高等教育范式改革

在国家推动发展粤港澳大湾区建设的历史契机下，港科大（广州）顺应大湾区科技创新和经济社会发展需要，响应全球高等教育发展融合学科的前沿探索，基于香港科技大学（以下简称“港科大”）过去30余年建设世界一流大学的成功经验，勇担使命、率先突破，系统性重构学科体系，矢志建设以“融合”和“创新”为特色的世界首所融合学科大学，为未来高等教育发展探索新路。

“枢纽—学域”学术架构

当前，世界百年未有之大变局加速演进，新一轮科技革命和产业变革深入发展，单一学科的纵深发展已无法解决人类社会发展面临的复杂问题，学科交叉融合成为大势所趋(这里可以用alphafold来举例)。在这一背景下，港科大（广州）借助港科大30多年来以传统学科为主导、发展基础学科的扎实学术根基，创设了支撑融合学科发展的“枢纽（Hub）—学域（Thrust）”的学术架构，打破了传统“院—系”学术框架的束缚，这在世界范围内是一项创新举措。其中，“枢纽”可以理解为学校的跨学科平台，其设置相对固定，旨在促进不同学科间的融合发展；“学域”则是聚焦人类社会发展所面临重大挑战的领域，根据社会发展需要动态调整，培养国家所需的融合学科人才。二者不仅是名称上的创新，更体现了多学科汇聚的理念，从思维惯性上打破传统的单一学科思维，以更好回应时代和人类面临的新问题和新挑战，切实推动学科交叉融合，促进新兴学科和前沿学科发展。目前，港科大（广州）设立了功能、信息、系统、社会四大学术枢纽。其中，功能枢纽以“硬科学”为主，下设先进材料、地球与海洋大气科学、微电子、可持续能源与环境4个学域；信息枢纽以“软科学”为主，下设人工智能、数据科学与分析、计算媒体与艺术、物联网4个学域；以“硬科学”与“软科学”为基础，建立了集成知识与技术的平台——系统枢纽，下设生命科学与生物医学工程、智能交通、机器人与自主系统、智能制造4个学域；为体现研究型大学对社会的影响力，社会枢纽应运而生，下设金融科技、创新创业与公共政策、城市治理与设计、碳中和与气候变化4个学域。功能枢纽与信息枢纽环环相扣，为系统枢纽提供基础，为社会枢纽提供支援。各枢纽、学域间打破边界，互联互通，根据国家战略和人类社会发展需要，动态组合，全方位融合，深度合作。

前瞻性布局融合学科专业
港科大（广州）坚持以国家战略需求为导向、以前沿科技发展为引领、以大湾区产学研优势为基础，前瞻性布局了本硕博3个层次的融合学科专业，以培养国家急需关键领域的高层次人才。同时，学校建立了科技发展、国家战略需求牵引的融合学科设置调整机制，符合国家重大战略和人类社会发展需求的新兴学科、前沿学科将适时取代与社会发展不相适应的学科专业，以保障学校所开设融合学科专业的与时俱进与前瞻性。截至目前，学校已开设4个本科专业，各学域均开设有研究型硕博专业。办学初期，学校本科专业将逐年增设，同时将结合社会产业发展需要，陆续开设与工业界结合更紧密的授课型硕士专业，提供至少一学期在产业界、研究机关的实习机会，不断满足社会对优质教育资源的期待与需求。10年内，学校办学总规模将达到10000人，其中本科4000人，研究生6000人。

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坚持“港科大一体，双校互补”的办学框架，促进两校深度融合
在创校之初，港科大与港科大（广州）就确立了“港科大一体，双校互补”的办学框架，旨在通过两校的错位、协同和融合发展，最大限度地整合两校优势资源，创造“1+1>2”的聚力效应，实现“港科大2.0”跨越式发展的愿景。港科大与港科大（广州）在法人独立、财务独立的办学框架下，学术标准保持一致。两校坚持错位发展，优势互补、相互支撑、深度融合，在学术、行政和知识转移方面增效互补，共立世界高等教育发展前沿。

港科大（广州）设立以来，在此框架下开展了一系列高校跨区域合作办学的探索与实践。

1. 坚持互补的学术框架和错位发展的学位课程。在“红鸟跨校园学习计划”的安排下，两校通过“科目共享（course sharing）”和“学分互换互认（credit transfer）”等机制，支持学生跨校选修课程及交流访问，促进基础学科与融合学科互动共长；
1. 坚持大型研究设施各有定位。两校中央实验室及大型研究设施不重复购置，互相开放共享，协同搭建世界一流的实验平台；
1. 鼓励学术教师跨校园联聘。探索设立联合学术任命（joint appointment）和跨校联属教师（cross-campus faculty affiliate）的创新机制，促进两校师资共享与合作；
1. 支持两校教师开展联合教学、联合指导研究生和联合科研攻关等。2023年10月，两校共同设立了“20-20联合研究专项”，支持两校科研人员在交叉融合学科、前沿领域研究开展深入合作，联合承担国家重点重大技术课题，推动科研成果在粤港澳大湾区转化应用；
1. 倡导两校不同院系、学术枢纽、学域和部门间的互联互通。通过开展更大范围、更高水平、更深层次的合作，促进两校实现深度融合。

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创新管理体制与校园空间布局，打造支持融合学科发展的环境:

粤港融合的治理体系
学校融合了内地与香港管理体制的优势，实行理事会领导下的校长负责制。理事会是学校的最高管治和决策机构，理事由办学双方及广东省人民政府或广东省教育厅委派，负责决策和部署学校发展方向及重大事项。按照学校章程规定，学校设立了理事会、教务委员会和校务委员会，其中理事会下设财务委员会和审计委员会，以全面规划、管理和监督学校各项学术和行政事项。同时，港科大与港科大（广州）建立了两校学术、行政联动协商机制，包括教务委员会、校长办公会和院长办公会的跨校园联系机制，共同促进大学治理的科学化、规范化和专业化，为学校融合学科的可持续发展与行稳致远提供制度保障。

开放联通的空间布局
“各领域紧密相连”和“灵活开放”是港科大（广州）校园设计的核心理念之一，学校核心区的教学科研设施均通过连廊相接，步行5分钟之内可连接任意两点，为融合学科的碰撞提供了空间保障。同时，学校各领域教师的办公室和学生宿舍均实行随机分布，以创造更多机会让不同领域的师生碰撞灵感，激发更多有价值的融合学科研究项目。

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科技创新：发展尖端科技，助力粤港澳大湾区科技创新和中国高水平科技自立自强

当前，前沿和颠覆性技术迭代持续加速，全球科技竞争不断加剧，各国越来越重视前沿科技创新能力的提升，以抢占未来科技发展战略制高点，抢抓未来产业发展主动权。在此背景下，核心技术领域“卡脖子”的问题频繁发生，国家发展新质生产力、培育新兴产业及实现“从0到1”原创性突破的需求更加迫切。科技创新作为研究型大学的重要使命之一，港科大（广州）充分认识到科研创新与科技突破的紧迫性，从加强科研创新、搭建科研平台、提高知识转移等方面加大科研投入与保障，致力于发展尖端科技和开展科研攻关，助力粤港澳大湾区科技创新和中国高水平科技自立自强。

加强原始创新，助力粤港澳大湾区建设国际科技创新中心:
学校全体科研人员以加强原始创新、引领性科研攻关为使命和目标。学校推动自由探索与有组织科研“两条腿走路”，既倡导独立PI（principal investigator）文化，给予教师充分的自由探索空间，又在国际科技前沿、国家重大需求和“卡脖子”等关键领域，重视和推动有组织科研，使不同学科背景的教师形成团队共同解决重大科学问题。学校不为追求排名而对教师下达任何硬性科研指标，在职称晋升中，坚持破“四唯”，不看重教师发表论文的数量，而是看重教师在学术方面的前瞻性和影响力，旨在激发原始创新、自主创新，真正实现“科学有高度、应用有前景、社会有影响”。除此之外，学校还根据新质生产力的发展要求与趋势前瞻性布局了低空经济、碳中和、海洋工程等重点研究领域，并在第一时间搭建平台、组建团队，为新兴领域的创新突破研究贡献融合学科力量。以低空经济领域为例，2024年3月，低空经济被写入政府工作报告，明确积极打造这一“新增长引擎”。2024年4月，学校便启动和成立低空经济研究院，并迅速组建了7个方向的专家团队，汇聚了一批敢于“突破边界”的顶尖科研人才，为低空经济的技术突破、行业标准制定和生态系统搭建等提供全方位科研支撑。

搭建科研平台，高水平打造一批共享共用的实验室(这个可以算是学校方面的优势)
作为研究型大学，实验室建设是学校科研工作的基石，也是办学工作的重中之重。学校现有实验室面积约8万平方米，设有中央实验室、主题实验室、联合实验室和教学实验室。目前，学校已建立15个中央实验室、25个主题实验室、10个校企联合实验室和一系列教学工作坊，获批广东省人文社会科学重点研究基地1个，广东省重点实验室1个，广州市重点实验室11个，已初步在芯片、元宇宙、人工智能、新材料、物联网、生物科学等领域打造一批高水平实验室，部分实验室已达到世界领先水平。全校所有实验室都坚持共享共用的原则，大型设备与港科大不重复购置。其中，中央实验室作为学校研究基础设施的核心组成部分，学校安排专人进行管理，其分配不受教师职务、身份和地位的影响，以完全开放的形式运行，供两校师生共享共用，并同时向其他高校与业界开放，为学校在大湾区乃至全球加强产学研合作提供有益支持。

重视知识转移，高质量服务经济社会发展:
港科大拥有良好的科创传统，培育出众多独角兽企业，成功孵化了一批如大疆创新、云洲智能等高科技企业，科研成果转化率高达30%。港科大（广州）也传承了创新的传统，坚持“创新驱动发展，产学研深度融合”的核心战略，秉持“产、学、研、用、投”的创新知识转移理念，将传统的R&D（研发）知识转移模式扩展至R&BD（研发与商业拓展）模式，建立融合尖端教育、研究和知识转移的生态系统，支持师生开展有价值的研究，不计回报地鼓励知识转移。同时，学校专注于推动科技创新创业落地、行业战略合作与产业升级、知识产权保护与运营，以及企业创新培育与深度赋能，为学校的知识转移业务提供全面支持与服务，推动学校成为粤港澳大湾区乃至全国科技创新与产业升级的重要引擎。

目前，学校打造的“INNOTECH创科嘉年华”“INNOPITCH路演推介会”“INNOVIEW创智分享会”等系列创科活动，已逐渐成为粤港澳大湾区的科创品牌盛会。其中，“INNOTECH创科嘉年华”至今已举办2届，集中展示了港科大（广州）、港科大及校友在科技创新与产学研合作方面取得的最新成果，成为立足湾区、辐射全国乃至海外的科技成果转化、创新创业交流的重要平台。正式设立以来，学校已与阿里云、粤芯半导体、深圳湾实验室等90余家企业签署了合作协议，与10家龙头企业成立了校企联合实验室，申请专利128项，授权专利16件，登记软件著作权7件；多位教授、硕博士生联合港科大师生共同推动成立多个初创公司，校内创业孵化项目100余项，注册企业40余家，90%注册在大湾区。同时，学校与广州产投集团共同设立10亿元环港科大（广州）科技成果转化母基金，还牵手一批直投基金合作伙伴，总基金规模达到24亿元。

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人才培养：引育创新人才，全面提升拔尖创新人才自主培养能力和助力建设世界重要人才中心
传统教育侧重于知识的传授，忽略了学生创新能力和综合素质的培养，制约了学生的发展潜力与无限可能。作为高水平的研究型大学，港科大（广州）核心使命是培养面向未来的科技创新和领军人才。创校以来，学校坚持紧跟科技与产业变革趋势，推进教育体系改革，改变师生的传统教育和学习理念，探索全新的人才培养模式，激发创新潜能，以适应新时代的教育需求。

创新人才培养模式，全面提升拔尖创新人才自主培养能力
为应对新一轮科技革命的挑战，不断打破国际技术垄断，全面提升拔尖创新人才自主培养能力具有重要战略意义。港科大（广州）根据融合学科特点，探索实施了一系列“以学生为中心”的创新人才培养举措，旨在培养拥有主动学习、即时学习和终身学习能力，具备系统思维、融通思维和批判性思维，能够应对复杂的全球挑战性问题的科技创新和领军人才。

以学生为中心：实行大类培养、贯通式培养和书院制(可以是夸港科广的一个点)
为帮助学生找到最适合的发展方向，港科大（广州）在本科和硕士阶段均实行大类培养和贯通式培养相结合的模式。其中，本科生入学前2年不分专业，通过2年本科通识课程和专业基础课程的学习与学术启蒙，在充分了解各专业及自己兴趣的基础上，于大二结束时可根据自己的意愿选择专业，学校对各专业不设名额限制。研究生入学前6个月也不分专业，6个月结束后可根据个人志向选择合适的专业。除此之外，学校还提供多种学习模式，以本博直读、本硕连读、硕博连读的贯通式培养模式，辅以导师制为核心的书院制融合环境，全方位培育面向未来的科技创新人才。

以问题为导向：探索建立项目引导式硕士生培养项目
“红鸟硕士项目”是港科大（广州）践行和推广学科融合“枢纽理念”而推出的未来领军人才培养项目，迈出了学校在高等教育人才培养模式改革道路上的关键一步。该硕士班坚持以项目为引导，重点围绕医疗健康、可持续生活、智能工业化3个未来人类可能遇到重大挑战的领域，以不同专业背景学生组成的项目小组为单位，以现实问题为导向，开展项目研究活动，重点培养学生实践操作、团队合作、沟通协调与解决问题等能力，以应对多变的社会挑战和技术难关，为人类发展面临的重大问题提供创新解决方案。

以解放思想为核心：推行人工智能与教育相结合（AI for education）的创新实践
随着生成式人工智能以势不可挡之势席卷全球，港科大（广州）坚持推行人工智能与教育相结合（AI for education）的创新实践。一方面坚持转变教师角色，鼓励教师更多地充当学生的“教练”，帮助学生多方位获取和理解知识；另一方面坚持解放学生思想，鼓励创新思维。为实现这一目标，港科大（广州）是国内首家在校内全面启用生成式人工智能大模型服务的大学。同时，学校为教师开设了融合学科和新型教学方法的培训课程，为学生专门开设了《融合学科研究方法》和《融合学科设计思维》两门必修课，以解放思想，释放创新活力。

以设立本科生科研项目为特色，鼓励本科生尽早参与科研
港科大（广州）创新人才培养模式，设立校级层面的本科生科研项目，将对科研人才的培养前置至本科一年级，激发学生的科研热情和创新潜能，培养具有前瞻性思维和实践能力的科技创新人才，着力打造培育科学家的摇篮。学校本科生科研项目首创“五个一”：一位教授，教授全程指导学生开展科研训练项目；一位本科生，本科一年级学生与教授“1+1”组队；一个课题，一项由教授与学生共同制定的研究课题；一个实验室，进入一个实验室，接触先进科研仪器设备；一项成果，在项目完成后通过海报或样品，展示科研实践成果。

全球延揽人才，助力建设世界重要人才中心
港科大（广州）充分利用与港科大共享品牌的全球知名度，发挥内地与港澳交流的桥梁纽带作用，采用全球招聘方式延揽国内外顶尖人才，初步建立了高水平的师资队伍。截至目前，现有学术人员300余人，其中，长聘制学术人员240余人，100%拥有博士学位，98%拥有境外教育背景或工作经历，超过20%获国家级人才项目，15%入选全球前2%顶尖科学家榜单。学校启动实施了青年博士“启航”、优秀博士“续航”、科技菁英“领航”等系列人才计划项目，并组织申报各级各类人才项目总计逾500项，近140人已入选国家、省区市各类人才，各级各类人才项目的申报及入选成绩均位列省市前茅。5年内，预计学术人员将达到500人，港科大（广州）正逐步成为粤港澳大湾区建设世界重要人才中心和创新高地的重要支撑平台。

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作为粤港合作的标杆项目，港科大（广州）始终围绕粤港澳大湾区和国家“教育、科技、人才一体化”的发展定位，坚持“办教育、兴科技、育人才”一体化发展，致力于发展融合学科特色，通过教育改革、科研创新与知识转移，培养面向未来的高端创新人才，服务于国家科技自立自强和人类社会长远发展。面对未来，港科大（广州）将把握数字化、智能化时代发展变革的大势，立足学科发展实际，遵循学术研究和科学发展规律，主动迎接、应对融合学科发展的挑战，在竞争中把握机遇，推动学校在科技领域取得重大原创性成果和核心关键性突破，抢占世界科技发展的制高点，解决“卡脖子”的关键核心问题，打造“中国特色，世界一流”的科技创新高地和人才高地，为国家统筹推进教育、科技、人才体制机制一体改革贡献力量。

This is not a Master of Philosophy program but a Master of Science program, it still holds considerable reference value.

Link：就读体验速递丨大数据智能理学硕士项目

为什么选择在港科广学习DCAI项目？

ZT: 入学前我在一家生物医药（创新药）企业工作，体验到生物药研发所需的漫长周期，恰逢人工智能技术“出圈”的年代，想通过学习运用AI技术来提高研发效率，为生物医的研究与开发“插上翅膀”。

SQ: 科广的DCAI项目与我的学术兴趣方向和职业规划完美契合，能让我探索数据科学和人工智能的前沿技术以及与各行业领域的结合和具体应用，进一步探索和确认我的研究兴趣方向与可能职业方向。同时DCAI项目创新的一年实习制度可以让我们走进企业，进入工业界进行实操，为在硕士学业结束后计划就业的同学提供更贴合的发展路径。

史纪元: 我初次考研失败，然后在家准备二次考研的过程中发现了香港科技大学（广州）DCAI项目正在招生的计划。我搜索查看了香港科技大学（广州）的师资、硬件条件等等，觉得是一所理念相当先进，资源极为优异充足的学校，就立马着手申请并最后来DCAI项目学习。

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在港科广的这段就读经历和您的职业规划有何种联系？

ZT：未来可以更好地运用数据科学和人工智能技术辅助医药研究，从数据的角度说处理实验数据，可以提高实验数据的利用率。
从AI的角度说，透过训练机器学习模型也能帮助我们探寻到过去的实验方法难以涉足的领域。并且二者是相辅相成的，只有处理好了优质的实验数据，才能更好地服务模型的训练，得到更加贴合科学事实的模型。

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您对港科广印象深刻的回忆是什么？

听校长和老师们讲以创新创业为导向的教学培养方略和和以社会影响力为导向的学术成果评定创想，打开了过去在传统高校教育体系未探索过的新格局。

SQ: 首先对科广印象深刻的回忆就是这里独特的培养方式。和内地高校不一样的学习模式,让我体验到了全新的学习生活。在课堂上,老师们鼓励我们积极提问和讨论，这种开放的氛围让我感到很自在，也激发了我对知识的好奇心，以及自由探索的学习模式。

除了学术方面，港科广的课外活动也很丰富。在课余时间,我在校园里享受着各种活动。无论是参加学术讲座，还是参加体育锻炼和组织的文化音乐活动，每一天都充满了新鲜感。这种自由探索的感觉让我对学校生活充满了期待。其中印象最深刻的是，上学期期末周天天泡图书馆很累的时候，学校的乐队组办了一个小concert，让大家在紧张的复习中获得了很大的放松和愉悦。

史纪元: 港科广的指导老师非常尽心负责，不仅专业科研能力强而且人品也很好，尊重学生，给我留下了深刻的印象。另外就是港科广机会真的很多，无论是科研，亦或是恋爱。

注意事项

Informaton Hub

Thrust of Artificial Intelligence

Jintai Chen

研究方向：

Alfor Healthcare
结构化数据学习(Tabular Learning)
Large Language Model/FoundationalModel

👨‍🏫导师介绍：

陈晋泰博士将于 2024 年 10 月加入香港科技大学(广州)Al Thrust，开设 ML2Health 实验室，担任助理教授一职。
此前，他是 UIUC 的博士后研究员，在中美两地都有广泛的学术合作伙伴。
其论文发表在高影响力的期刊和会议上，包括 NatureCommunications、ICML、ICLR 等。已指导多名本科生、博士生发表多篇一作 CCF-A 论文。

申请要求：

A.基本要求
✅ 强烈的科研热忱和自驱力，良好的交流和合作意识。
✅ 较强的代码能力和执行力。
✅ 良好的英文写作能力。
✅ RA 工作需至少4个月以上或能完整完成一篇论文。
B.满足一项或多项目的将优先考虑
✅ 发表过高水平算法论文(例如但不限于 CCF-A)
✅ 较强的数学和统计能力。
✅ 深度参与或贡献过有影响力的机器学习相关开源项目
✅ 毕业于 985/211 高校且拥有高专业排名/高 GPA。

Yutao YUE

岳玉涛博士是香港科技大学（广州）人工智能学域和智能交通学域的副教授，本科毕业于中国科学技术大学，硕士和博士毕业于美国普渡大学。他有学术界和工业界的双重背景，创立了江苏省产业技术研究院深度感知技术研究所，并曾任广东省引进创新科研团队带头人、光启集团高级科学家等。他的研究兴趣包括多模态感知融合、机器意识、通用人工智能、因果涌现等。他长期从事科学研究和源头技术创新产业化20多年，作为共同发明人获已授权中国发明专利354项、美国发明专利18项、欧盟发明专利7项。作为第一负责人完成横纵向科研项目6项，总经费近1.3亿元人民币。发表论文60余篇，作为博士后导师培养博士后13人，获吴文俊人工智能科学技术奖等多个奖项。

研究方向：

多模态感知融合
机器意识
通用人工智能
因果涌现与大语言模型机理
AI4Science（AI与智能交通、电磁场调控、天体物理与宇宙学等领域的结合）

Ying-Cong Chen

I am an Assistant Professor at AI Thrust, Information Hub of Hong Kong University of Science and Technology (Guangzhou). I am also an Affiliated Assistant Professor of the department of Computer Science & Engineering (Clear Water Bay Campus). I am a faculty member of the Deep Vision Lab. Previously, I was a Postdoctoral Associate at Computer Science & Artificial Intelligence Lab of Massachusetts Institute of Technology, where I had the privilege of working with Prof. Dina Katabi. I earned my Ph.D. degree from the Chinese University of Hong Kong, under the mentorship of Prof. Jiaya Jia. I am honored as Distinguished Young Scholars (Overseas).

Research:
My research focuses on visual generative models, exploring their fundamental principles with the aim of improving their quality, efficiency, diversity, and controllability. Beyond foundational research, I am dedicated to applying these models to solve real-world challenges in sectors such as autonomous driving, smart manufacturing, and content creation. My overarching goal is to advance the field of generative models by tackling sophisticated real-world challenges, thereby pushing the boundaries of academic research in different disciplines.

Interests:

Computer Vision
Generative Models
AI+X

Publication:

Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Ying-Cong Chen.
Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models.
Proceedings of the European Conference on Computer Vision (ECCV), 2024.
[Cite]
Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen.
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders.
Proceedings of the European Conference on Computer Vision (ECCV), 2024.
[Cite] | [Code]
Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Ying-Cong Chen.
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics.
Proceedings of the European Conference on Computer Vision (ECCV), 2024.
[Cite] | [Code]
Haodong Li, Hao Lu, Ying-Cong Chen.
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement.
Proceedings of the European Conference on Computer Vision (ECCV), 2024.
[Cite]
Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, Fugee Tsung.
An Incremental Unified Framework for Small Defect Inspection.
Proceedings of the European Conference on Computer Vision (ECCV), 2024.
[Cite] | [Code]
Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu.
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning.
International Conference on Machine Learning (ICML), 2024.
[Cite] | [Code]
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, Ying-Cong Chen.
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (Spotlight, Top 2.81%), 2024.
[Cite] | [Code]
Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan.
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Cite]
Jiaqi Tang, Ruizheng Wu, Xiaogang Xu, Sixing Hu, Ying-Cong Chen.
Learning to Remove Wrinkled Transparent Film with Polarized Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Cite] | [Code]
Yang Li, Ruizheng Wu, Jiyong Li, Ying-Cong Chen.
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors.
International Conference on Learning Representations (ICLR), 2024.
[Cite] | [Code] | [Project]
Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen.
Denoising Diffusion Step-aware Models.
International Conference on Learning Representations (ICLR), 2024.
[Cite] | [Code]
Weiyu Sun, Xinyu Zhang, Hao Lu, Ying-Cong Chen, Ting Wang, Jinghui Chen, Lu Lin.
Backdoor Contrastive Learning via Bi-level Trigger Optimization.
International Conference on Learning Representations (ICLR), 2024.
[Cite] | [Code]

Connection:

HKU
CUHK
HKUST(GZ)

Admission:

Top-ranking students
World-level programming competition/ challenge winners
Students who published high-quality papers in top conferences and journals as the first author.

Enyan Dai

I am a tenure-track assistant professor in the AI Trust at the Hong Kong University of Science and Technology (Guangzhou). I recevied my Ph.D. degree from the Pennsylvania State University under the supervision of Dr. Suhang Wang. I obtained my Master of AI degree from Computer Science Department at KU Leuven. I received my Bachelor Degree from the University of Science and Technology of China.

research drictions:

Xuming Hu

My name is Xuming Hu (胡旭明). I’m an Assistant Professor of the AI Thrust at The Hong Kong University of Science and Technology (Guangzhou). I am also being affiliated with the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (Clear Water Bay).

I received my Ph.D. at the School of Software in Tsinghua University, where I am advised by Prof. Philip S. Yu (ACM/IEEE Fellow). I was a Visiting Scholar at CUHK MISC Lab from May 2022 to August 2023 under the supervision of Prof. Irwin King (IEEE Fellow).

Prospective Students:
Thanks for your interest in joining our group! We have 3-4 open positions for Ph.D. students in 2025 Spring and Fall in AI Thrust. For MPhil students, we have 4-5 open positions in 2024 Fall in AI Thrust, please contact me after passing the interview with the school’s Red Bird MPhil committee.

Publication:

Research driction:

Prospective Students:
PhDs:

When reaching out to me, in addition to your CV, it would be best to demonstrate the following in your email.
Applicants do not need to have a degree in computer science, but they should possess good coding skills and a basic understanding of natural language processing. The research direction of the applicants does not need to align with mine, as long as they have sufficient interest in large language models.
Prospective students are encouraged to visit our laboratory in advance to gain a better understanding of how our lab operates. This will facilitate a more informed decision based on mutual selection principles.
Students who have only one publication as a (co-)first author, demonstrating their ability to develop ideas, implement, analyze, and write papers, are often considered more favorably than those who have participated in numerous publications without leading these projects.

Note:

I am aware that many students without a first-author publication record are interested in applying to our lab. We welcome these students to participate in our publication-oriented projects or lead one influential open-source project. We are looking for self-motivated students. I will guide you in advancing these projects, and strong performance will significantly enhance your chances of a successful application.

Research Assistants/Visiting Students：

I welcome research assistants, visiting students, and interns at all levels. Students are required to demonstrate a strong interest and good background knowledge in large language models. While prior research experience is encouraged, it is not mandatory. All positions for research assistants, visiting students, and internships can be remote. Research assistant positions will be compensated according to the applicant’s background.

CUHK MISC Lab:
The Machine Intelligence and Social Computing (MISC) Lab is led by Prof. Irwin King. We focus on fundamental as well as applied computational techniques for the collaborative and collective intelligence of group behaviors on the Internet. Our research topics include, but are not limited to:

Web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval
Learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems
Human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, social marketing, monetization of the web
Large graph and link-based algorithms
Security/privacy issues related to web intelligence and social computing, etc.

Current Students:

Junwei Liang

I am an Assistant Professor in the AI thrust at The Hong Kong University of Science and Technology (Guangzhou campus). I lead the Precognition Lab. I am also an Affiliate Assistant Professor at HKUST computer science & engineering department.

Prior to joining HKUST-GZ, I was a senior researcher at Tencent Youtu Lab working with Chunhua Shen. I completed my Ph.D. in 2021 from Carnegie Mellon University, advised by Alexander Hauptmann. My Ph.D. and research work were mostly funded by IARPA, NIST and NSF grants. I was a research intern at Google AI multiple times and collaborated with Lu Jiang, Liangliang Cao, Jia Li and Kevin Murphy. I obtained my undergraduate degree from RUC, advised by Qin Jin

Precognition Lab:

Our lab’s computing resources include 32 RTX 3090/4090 GPUs and a cluster of 24 A6000 GPUs with a 100TB NA

Related Links:

Hao Liu

Hao Liu received his Ph.D. degree from the Hong Kong University of Science and Technology (HKUST) in 2017. He is currently an assistant professor at the Artificial Intelligence Thrust, HKUST (Guangzhou), and an Affiliated Assistant Professor at the Department of Computer Science and Engineering, HKUST (Clear Water Bay). Dr. Liu’s current research interests include urban foundation models, spatiotemporal data mining, and their applications on urban science, intelligent transportation, and recommender systems. In the past five years, he has filed over 50 China/U.S. patents and published over 60 research papers at prestigious journals and conferences, such as TKDE, SIGKDD, SIGIR, WebConf, VLDB, NeurIPS, and ICML. For his research on intelligent transportation and urban computing, he was named in Forbes 30 Under 30 China list for science and healthcare 2021.

Liu Li

I am an assistant professor at The Hong Kong University of Science and Technology (Guangzhou) in the AI Thrust. I am also an Affiliated Assistant Professor of the department of Computer Science & Engineering at The Hong Kong University of Science and Technology, Hong Kong. Previously, I graduated from Université Grenoble Alpes, Grenoble, France with a PhD, and I was a postdoc researcher at Toronto Metropolitan University, Toronto, Canada.

I worked on “AI for Social Good”, and my research directions are multi-modal audio-visual speech processing, AI robustness and AI for healthcare.

WANG Hao

I am a tenure-track Assistant Professor of the AI Thrust at The Hong Kong University of Science and Technology (Guangzhou). I received my Ph.D. at School of Computer Science and Engineering, Nanyang Technological University, supervised by Prof. Miao Chun Yan. My co-supervisor is Prof. Guosheng Lin. I also work closely with Prof. Steven Hoi. I was an intern working with Jiashi Feng at TikTok, Singapore.

My general research interests lie in the development of AI-powered perception and generation algorithms for multimodal data, including text, images, videos, and 3D shapes. Recently, we are working on projects of 3D reconstruction and LLM-based agents. Please drop me an email if you are interested in collaborations.

Research driction:

3D: 3D object reconstruction, 3D object generation, 3D dynamics reconstruction, 3D scene reconstruction, etc.
LLM: LLM agents, LLM safety, accelerated inference of LLM, multimodal LLM, etc.

What can I offer you?

Research guidance: I will do my best to provide support for literature review, code debugging, paper writing, career development, and more.
Research environment: Innovative research ideas, sufficient computational resources, competitive salary, and a brand-new campus.
Research connection: I am willing to encourage you to visit/intern at other academic institutions or tech companies, such as ByteDance, Tencent, etc.

expect:

Strong self-motivation: You should be keen to learn and explore AI. Please do not apply if you are only seeking a degree and not interested in research.
Strong hands-on ability and mathematical skills.

RAs/interns：

Relevant working or research experiences.
Typically, the duration is at least 6 months.
For RAs, you will join us in full-time employment.
For interns, you should be a current student in another university.

Phd：

Publications or submissions on top-tier CV/NLP/AI conferences and journals, such as CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL, EMNLP, ACM-MM, AAAI, IJCAI, TPAMI, IJCV, TIP, TNNLS, etc.
Relevant working or research experiences.
Good GPA ranking in your school.

Addison Lin WANG

Addison Lin Wang is an Assistant Professor in the Artificial Intelligence (AI) Thrust of Information Hub and an Affiliate Assistant Professor in the Department of Computer Science and Engineering, the Hong Kong University of Science and Technology (HKUST). I am leadning Visual Learning and Intelligent Systems (VLIS) LAB @ HKUST, GZ Campus.

I was a Postdoc researcher in the visual intelligence(VI) lab at KAIST from August to Decemeber, 2021. I finished my Ph.D. degree in VI Lab at KAIST, supervised by Prof. Kuk-Jin Yoon from KAIST and advised by Prof. Tae-Kyun Kim from Imperial College London. In the three years of my Ph.D. study on computer vision and AI for intelligent systems, I had collaborated with my friend Dr. Mohammad Mostafavi from GIST, Korea. I also had a chance to work with Prof. Sung-Eui Yoon from the School of Computing at KAIST. Before August 2018, I was a Ph.D. candidate in the Dept. of Industrial & Systems Eng. and School of Computing at KAIST.

I am working on computer vision, computational photography, deep learning, MR/AR for intelligent systems. I am leading research on computer vision with Neuropmorphic/Thermal/360 cameras, Computer vision for AR/VR, Adverse vision problems, and Deep learning methods for intelligent mobile sytems.

He has also been working with Prof. Yishan Shen on the security problems of smart city and Prof. Lik-hang Lee on the metaverse for city-human interaction.

prospective students:

I am currently looking for well-motivated graduate students, research intern or posdoc researchers to join my group. If you are interested in our research, please reach out to me via email by sending your CV and research statement (mandatory).
Those accepted students and researchers will be well paid. We aim to make leading research on the fields of novel camera-based computer vision, computational imaging, efficient deep learning methods, and computer vision-supported AR/MR/metaverse for intelligent mobile systems.
Currently, the addimission for PhD/Mphil is still ongoing, please check the HKUST Guangzhou Pilot Scheme.

Research Interests:Computer Vision, Computational Photography, Deep Learning, Intelligent Systems

Neuromorphic camera-based vision.
Thermal camera-based vision.
Ominidirectional camera-based vision.
Vision in all seasons for intelligent systems.
Computational imaging and low-level vision problems.
3D vision and pixel-level segmentation for intelligent systems.
Transfer learning, semi-/self-supervised learning, GANs for visual learning.
Adversarial attack and robustness for intelligent systems.
Computer vision for AR/VR/Metaverse.

Work Experience:

Master and Phd in KAIST
RA in KAIST
Postdoc in KAIST
AP

Connection:

KAIST
SDU
PKU
THU
HKUST
LU
USTC
IC

Phd Students:

THU
XJTU
Shang hai Univ.
China Univ. of Geosciences
Northeastern Univ.
Sun Yat-sen Univ.

RAs:

Edinburgh Univ.
UEST
SJTU

Mphil:

Hunan Univ.
Univ. of Electronic Sci. and Tech.
Harbin Inst. of Tech., Weihai
Beihang Unv.
Huazhong Univ. of Sci. and Tech.
Harbin Inst. of Tech., Shenzhen
South China Univ. of Tech.
Tsinghua Univ.
Hebei Univ. of Tech.
Tongji Univ.
BNU- HKBU

Interns:

Shanghai Jiaotong Univ.
Univ. of Sci. and Tech. of China

Alumni:

Univ. of Sci. and Tech. of China
Hong Kong Univ.
HKUST(GZ)

Zeke Xie

Dr. Zeke Xie is an Assistant Professor at Information Hub, Hong Kong University of Science and Technology (Guangzhou). He is leading Xie Machine Learning Foundations Lab (xLeaF Lab) that generally interested in understanding and solving fundamental issues of modern AI, particularly large models, by scientific principles and methodology.

Previously, he was a researcher at Baidu Research responsible for large models and AIGC research. He obtained Ph.D. and M.E. both from The University of Tokyo. He was fortunate to be advised by Prof. Issei Sato and Prof. Masashi Sugiyama. He was also affiliated with RIKEN AIP during the Ph.D. study. Before that, he obtained Bachelor of Science from University of Science and Technology of China.

He received the 2017 IBISML Research Award Finalist and the 2024 faculty research award from ByteDance . Most of his works have been published on three top-tier ML conferences, namely ICLR, ICML, and NeurIPS. He also regularly serves as a reviewer/PC for ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV, AAAI, TPAMI, Neural Computation, TNNLS, etc.

He writes a number of popular science articles and tech blogposts. He is glad to share the thoughts and communicate with more than 200k followers who are interested in these articles/blogposts.

Research drictions:

Foundations of Generative AI: Optimization, Generalization, Efficiency, and Theory of Diffusion Models/LLMs.
AI + Science: Generative AI for Science and Science of AI.

Prospective Students:

phd: 至少一个高质量的一作顶会论文
RA: 应该有优秀的学业背景（如国家奖学金）或一作顶会论文
postdoc: 多篇一作顶会论文，或具备将科研成果产业化的能力

Mphil:

First, you need to choose a RBM project, at least a few project candidates.
Second, you need a specific research goal associated with your chosen RBM project.
Third, let me know the RBM project and your own research plan, so I can check your research interests match AIGC research or AI startup.
Fourth, I will arrange an interview meeting for you.
Finally, we may work together.
If you are strongly eager to seek my supervision and research AIGC, we may choose a possible research topic first (after the interview) and then you need to find some connection to a RBM project.

Alumni (Students & Interns under my advice):

Zipeng Qi, (Intern@Baidu Research, PhD Student @ Beihang University) 2024-2024 [preprints*2]
Buhua Liu, (Intern@Baidu Research, Master Student @ HKBU) 2023-2024 [ICLR2024, preprint*2]
Xiong Zhou, (Intern@Baidu Research, PhD Student @ HIT) 2023-2024 [ICLR2024 , ICLR2024, preprint]
Xindi Yang, (Intern@Baidu Research, Outstanding Intern of the Year Award, Master Student @ BJTU) 2022-2024 [ICCV2023, ICLR2024]
Zheng He, (Intern@Baidu Research, Master Student @ BeihangU) 2021-2023 [ICML2022]
Shuo Yang, (Intern@Baidu Research, Outstanding Intern of the Year Award, PhD Student @ UTS) 2021-2022 [ICLR2023]

Related Links:

Thrust of Computational Media and Arts

Mingming Fan(HCI 牛组)

Mingming Fan is an Assistant Professor in Computational Media and Arts (CMA) and Internet of Things (IOT) Thrusts at The Hong Kong University of Science and Technology (Guangzhou) (HKUST(GZ)), with joint and affiliated assistant professor positions in Division of Integrative Systems and Design and Department of Computer Science and Engineering respectively at HKUST. Before joining HKUST campuses, he worked for two years as a tenure-tracked Assistant Professor in the Center for Accessibility and Inclusion Research (CAIR) at RIT after earning his Ph.D. from the Department of Computer Science at the University of Toronto in 2019.

Led by Prof. Mingming Fan, APEX group conducts research at the intersection of Human-Computer Interaction (HCI), AI and VR/AR/MR with three foci:

Assistive Technology (AT): to empower older adults and people with disabilities
Human-AI Collaboration: to understand human-AI collaboration dynamics via scientific studies and to create novel human-AI collaboration systems.
VR/AR/MR: to create novel VR/AR/MR interaction techniques and applications, for aging, accessibility and learning/education purposes.

Prospective Ph.D. Applicants: If you have strong technical AND design skills and are truly passionate about the following topics, you can send me an email:

Human-AI Collaborative Systems: Design novel collaborative systems between human and AI agents to tackle practical challenges in learning/education, aging, health, and accessibility.
Embodied AI Agents: Design novel interactive embodied agents (e.g., in the form of physical robots or devices) to tackle learning/education, aging, health, and accessibility challenges.
AI + Immersive Environments (VR/AR/MR): Design creative combinations of AI and immersive environments to tackle learning/education, aging, health, and accessibility challenges.

Visiting Research Students:: If you are a registered graduate (PhD or master’s) student in another university and would like to visit my group for a short period (e.g., 3 months), I welcome you to apply our visiting student program: link. You may also send me an email with CV and transcripts. Make sure your home university and/or your academic supervisor allows you to visit.

Prospective MPhil Applicants: For candidates with strong academic record but without strong research experience, I recommend them apply for our MPhil program first. Our MPhil program is a fully funded research master’s program, which is managed by the university. Follow the instructions via this link and apply accordingly.(Accepted MPhil students have the opportunity to work with me in my group and will have better chances to be admitted into our PhD programs.)

People:
Phd:

Mphil:

Alumni:

Publication:

SilverCycling: Exploring the Impact of Bike-Based Locomotion on Spatial Orientation for Older Adults in VR
Qiongyan Chen, Zhiqing Wu, Yucheng Liu, Lei Han, Zisu Li, Ge Lin Kan, Mingming Fan
August 2024, IMWUT 2024
Beadwork Bridge: Understanding and Exploring the Opportunities of Beadwork in Enriching School Education for Blind and Low Vision (BLV) People
Shumeng Zhang, Weiyue Lin, Zisu Li, Ruiqi Jiang, Chen Liang, Mingming Fan, Raul Masu
July 2024, ASSETS 2024
Exploring the Impact of Artificial Intelligence-Generated Content (AIGC) Tools on Social Dynamics in UX Collaboration
Ziyan Wang, Luyao Shen, Emily Kuang, Shumeng Zhang, Mingming Fan
May 2024, DIS 2024
SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Li, Yu Zhang, Mingming Fan, Zeyu Wang
March 2024, CVPR 2024
Toward Making Virtual Reality (VR) More Inclusive for Older Adults: Investigating Aging Effects on Object Selection and Manipulation in VR
Zhiqing Wu, Duotun Wang, Shumeng Zhang, Yuru Huang, Zeyu Wang, Mingming Fan
February 2024, CHI 2024
To Reach the Unreachable: Exploring the Potential of VR Hand Redirection for Upper Limb Rehabilitation
Peixuan Xiong, Yukai Zhang, Nandi Zhang, Shihan Fu, Xin Li, Yadan Zheng, Jinni Zhou, Xiquan Hu, Mingming Fan
February 2024, CHI 2024
LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older Adults
Qiuxin Du, Zhen Song, Haiyan Jiang, Xiaoying Wei, Dongdong Weng, Mingming Fan
February 2024, CHI 2024
FetchAid: Making Parcel Lockers More Accessible to Blind and Low Vision People With Deep-learning Enhanced Touchscreen Guidance, Error-Recovery Mechanism, and AR-based Search Support
Klara Zhitong Guan, Zeyu Xiong, Mingming Fan
February 2024, CHI 2024
Enhancing UX Evaluation Through Collaboration with Conversational AI Assistants: Effects of Proactive Dialogue and Timing
Emily Kuang, Minghao Li, Mingming Fan, Kristen Shinohara
February 2024, CHI 2024
Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VR
Jingze Tian, Yingna Wang, Keye Yu, Liyi Xu, Junan Xie, Franklin Mingzhe Li, Yafeng Niu, Mingming Fan
February 2024, CHI 2024
Designing Unobtrusive Modulated Electrotactile Feedback on Fingertip Edge to Assist Blind and Low Vision (BLV) People in Comprehending Charts
Chutian Jiang, Yinan Fan, Junan Xie, Emily Kuang, Kaihao Zhang, Mingming Fan
February 2024, CHI 2024
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
Li Feng, Ryan Yen, Yuzhe You, Mingming Fan, Jian Zhao, Zhicong Lu
February 2024, CHI 2024
Bridging the Literacy Gap for Adults: Streaming and Engaging in Adult Literacy Education through Livestreaming
Shihan Fu, Jianhao Chen, Emily Kuang, Mingming Fan
February 2024, CHI 2024
“It is hard to remove from my eye": Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) Performers
Zeyu Xiong, Shihan Fu, Yanying Zhu, Chenqing Zhu, Xiaojuan Ma, Mingming Fan
February 2024, CHI 2024

Our group’s work has been published at top-tier venues of human-computer interaction (HCI). We have won Best Paper Honorable Mention Awards (4 times) and Best Paper Award from ACM CHI, Best Paper Honorable Mention Awards from UbiComp, Best Artifact Awad from ACM ASSETS, and Best Paper Honorable Mention Awards from Chinese CHI (2 times).

Chen Liang

Related Links:

应届PhD教职上岸开始招生啦 - lccllccc

Xin TONG

Related Links:

港科广计算媒体与艺术|年轻新AP招全奖博士

Zeyu Wang

The Creative Intelligence and Synergy (CIS) Lab at The Hong Kong University of Science and Technology (Guangzhou) conducts cutting-edge research at the intersection of computer graphics, human-computer interaction, and artificial intelligence, focusing on algorithms and systems for digital content creation. Our current research topics include sketching, VR/AR/XR, generative techniques, and multimodal creativity, with applications in art, design, perception, and cultural heritage.

Dr. Zeyu Wang is looking for PhD/MPhil students, postdoctoral researchers, and research assistants to embark on an exciting journey to the synergy between scientists and creatives. Please refer to the Opening page for more details if you are interested in conducting and publishing top research in CG, HCI, and AI.

Related Links:

ZENG Wei

I’m an assistant professor at Thrust of Computational Media and Arts (CMA), and jointly appointed at Thrust of Data Science and Analytics (DSA) in Information Hub, the Hong Kong University of Science and Technology (Guangzhou), and also affiliated with Department of Computer Science and Engineering, HKUST. My research focuses on data visualization and visual analytics, VR/AR, and creative design. Before joining HKUST (GZ), I worked as an associate professor at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, adjunct associate professor at BNU-HKBU United International College , and a senior researcher at Future Cities Laboratory, ETH Zurich. I received both the bachelor and Ph.D. degrees in computer sciences from the Nanyang Technological University.

I’m leading the Collaborative Interactive Visualization & Analysis Laboratory (CIVAL) @ HKUST (GZ). Find more information about CIVAL here.

prospective students:
Please take a look at my research profile and interests, and write a concrete research plan accordingly. I will not respond to your email if the content is generic in any research area, for example, “I would like to do research in data visualization” or “in deep learning.” I do have a wide spectrum of research interests, but that does not mean that I am dedicated to or capable of doing any research. It is fine if you know nothing about my research, in case that you are willing to and be able to do the research assigned to you!

driction:

1. computational design for visualization, infographics, poster, floorplan, etc.;
1. situated visualization in VR/AR; and
1. visual analytics for various application domains like transportation, building energy, etc.

Related Links:

CIVAL

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Informaton Hub

Thrust of Artificial Intelligence

Jintai Chen

Yutao YUE

Ying-Cong Chen

Enyan Dai

Xuming Hu

Junwei Liang

Hao Liu

Liu Li

WANG Hao

Addison Lin WANG

Zeke Xie

Thrust of Computational Media and Arts

Mingming Fan(HCI 牛组)

Chen Liang

Xin TONG

Zeyu Wang

ZENG Wei