人工智能学域介绍

人工智能（Artificial Intelligence）学域关注人工智能驱动下的广泛的科技领域的基础性研究和应用型研究，将运用人工智能技术改变各个行业领域的应用。香港科技大学（广州）信息枢纽人工智能博士课程团队致力于成为世界知名的人工智能研究中心。

交叉学科研究方向

• 人工智能与设计
• 人工智能与商业
• 人工智能与智慧生活
• 人工智能与智慧城市
• 人工智能与人才管理
• 人工智能与金融
• 人工智能与安全隐私
• 人工智能与制造
• 人工智能与交通

由于每个学科均有其自成体系的研究方法和学术视角，融合学科教育的每一位参与者都需尊重来自其它学科的多元想法，以充分整合思想、集思广益。因此，通过融合学科的学习，学生能提升自身适应能力和终身学习的能力。

人工智能学域高度支持融合学科教育和研究，这一全新的教学模式将有助于加强学生的创意思维，启发学生建立和表达自身观点，培养学生适应社会的能力，从而能识别和解决各种现实问题。融合学科的学习体验将让学生拥有更完备的能力，以应对新挑战。

人才培养

培养目标

人工智能博士项目旨在培养学生从事人工智能方面的原创性研究，并帮助建立重要的跨学科、独立、创新的学习思维，使学生能在人工智能相关行业或者学术领域取得成功。博士学位的毕业生应精通其选定的学科知识，能够综合、创造新的知识，为相关学科的发展做出独创性和实质性的科学贡献。

培养模式

课程模式：全日制/非全日制

授课语言：英语

学习周期：全日制：3年（已具有相关研究型硕士学位）；4年（无相关研究型硕士学位） || 非全日制：6年

学分要求：21学分（6学分核心课程+15学分学域选修课程）

学位授予：香港科技大学博士学位证书

学费：

40,000人民币/年 （全奖博士生）

150,000人民币/年（自费博士生）

奖学金：

180,000人民币/年 （上限4年）（全奖博士生）

所有符合条件的全日制申请者自动纳入奖学金考虑范畴，无需额外申请。

住宿：

为正常学习周期内的学生提供校内住宿

课程设置

向上滑动阅览

// 必修课程（6学分）

跨学科核心课程（二选一）

◽ 跨学科研究方法 2学分

◽ 跨学科设计思维 2学分

枢纽核心课程

◽ 信息科学与技术：基本要素与趋势 2学分

其他枢纽核心课程（三选一）

◽ 功能枢纽：面向可持续的未来的功能枢纽入门 2学分

◽ 社会枢纽：技术创新与社会企业家精神 2学分

◽ 系统枢纽：基于模型的系统工程 2学分

// 选修课程示例（15学分）

专业必修课程：3学分，学生需要从下列AI必修课程中选择任意一门

◽ 计算机视觉与应用 3学分

◽ 数据挖掘基础 3学分

◽ 人工智能安全与隐私 3学分

......

专业选修课程示例：12学分

◽ 高级深度学习 3学分

◽ 机器学习专题 3学分

◽ 人工智能专题 3学分

◽ 贝叶斯机器学习 3学分

◽ 自然语言处理 3学分

◽ 机器人学的感知和信息处理 3学分

……

其他课程请复制下方链接，用浏览器打开

https://fytgs.hkust-gz.edu.cn/programs/2023-24/information-hub-2023-24/artificial-intelligence

（点击列目 CURRICULUM 查询）

学习成果

完成博士学位课程后，毕业生将：

✔ 能够全面而透彻地理解和掌握人工智能的理论、方法和技术；

✔ 具备构建人工智能系统的实操技能；

✔ 批判地运用理论、方法论和相关知识来解决人工智能中的基础问题；

✔ 有能力在人工智能应用方面开展独立性研究或进行创新；

✔ 具备优秀的口头和书面沟通技能，能够从事人工智能相关的专业性工作。

就业前景

人工智能项目的毕业生将受到大湾区、全中国乃至世界各地学术机构、研究机构及相关行业的高度青睐。政府与私营企业都非常需要在人工智能研究领域具有扎实经验的毕业生。人工智能项目的毕业生拥有广阔的职业发展空间，包括但不限于机器学习工程师、数据科学家、商业智能开发人员、研究型科学家和大数据架构师等。

师资介绍

人工智能学域目前拥有正/副高级教授共11人，团队成员全部拥有博士学位，具有博导资格，海外引进人才占90%以上。

     

Associate VP (KT), Thrust Head

Chair Professor Hui XIONG

Prof. XIONG Hui is currently the Head and Chair Professor of the Artificial Intelligence Thrust at the Hong Kong University of Science and Technology (Guangzhou). Prof. Xiong’s main research areas are data mining, business intelligence, mobile computing, and big data of human resources. He has obtained AAAS Fellow, IEEE Fellow, ACM Distinguished Scientist, Changjiang Chair Professor of the Ministry of Education of China, Harvard Business Review’s “The 2018 Ram Charan Management Practice Awards”-- Full Prize, 2017 IEEE ICDM Outstanding Service Award, ICDM-2011 Best Research Paper Award, and AAAI-2021 Best Paper Award. In terms of talent cultivation, most of the PhD supervised by Prof. Xiong have become tenure-track professors at prestigious universities in United States, including University of Tennessee-Knoxville, University of Arizona, Stony Brook University, University of Central Florida, George Mason University, City University of Hong Kong, University of Kansas and ESCP Business School-Paris.

Research Interests:

• Data mining and knowledge discovery
• Big data analytics
• Mobile computing
• Business intelligence
• Information asurance

     

Associate Thrust Head

Associate Professor Xinyi HUANG

Xinyi Huang received his Ph.D. degree from the School of Computer Science and Software Engineering, University of Wollongong, Australia, in 2009. He is currently an Associate Professor at the Thrust of Artificial Intelligence, Information Hub, Hong Kong University of Science and Technology (Guangzhou), China. His research interests include cryptography and information security. He has published over 160 research papers in refereed international conferences and journals, such as ACM CCS, Crypto, Asiacrypt, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Information Security and Forensics. His work has been cited more than 10000 times at Google Scholar. He is in the Editorial Board of International Journal of Information Security and SCIENCE CHINA Information Sciences. He has served as the program/general chair or program committee member in over 120 international conferences.

Research Interests:

• AI Security and Privacy
• Blockchain
• Applied Cryptography

     

Associate Professor Sihong XIE

Sihong Xie is currently an Associate Professor at the Thrust of Artificial Intelligence at Hong Kong University of Science and Technology (Guangzhou). Previously, Dr. Xie held the position of Assistant Professor from 2016 to 2023 and tenured Associate Professor from 2023 at the Computer Science and Engineering Department of Lehigh University in Bethlehem, Pennsylvania, US. From 2019 to 2022, he received over 1.5 million USD in grants from the NSF. Dr. Xie received his Ph.D. in 2016 from the Department of Computer Science at the University of Illinois at Chicago. His research focuses on accountable machine learning, where human-ML collaborations are critical. Dr. Xie has published over 60 papers in major data mining and machine learning conferences, such as ICLR, KDD, UAI, ICDM, WWW, AAAI, IJCAI, WSDM, SDM, and TKDE, with over 2,300 citations and an h-index of 19. He has also served as an NSF panelist and PC or senior PC member for conferences such as NeurIPS, ICML, KDD, AAAI, ICLR, ICDM, and SIGIR, a reviewer for TPAMI, a topic editor of Frontiers in Big Data, and a KDD workshop organizer. In 2022, Dr. Xie was honored with the NSF CAREER Award.

Research Interests:

• Responsible machine learning on graphs
• Data-Centric AI
• Misinformation detection

     

Associate Professor Xin WANG

Xin Wang is an Associate Professor at the Thrust of Artificial Intelligence, Hong Kong University of Science and Technology (Guangzhou). He is a recipient of the National Young Talents Project. Previously, he was a Staff Researcher and Tech Lead at the Institute for Quantum Computing at Baidu Research, where he focused on the R&D of Baidu Quantum Platform. He led the development of Paddle Quantum, a Python library for quantum machine learning. From 2018 to 2019, he was a Hartree Fellow at the Joint Center for Quantum Information and Computer Science at the University of Maryland, College Park. He received his doctorate from the University of Technology Sydney and was awarded the Chancellor’s List for Outstanding Thesis and the Outstanding Self-financed Overseas Student Award. His research interests include quantum communication, quantum entanglement, quantum error mitigation, and quantum machine learning. He has published over 50 papers in top-tier journals and conferences in the fields of physics, computer science, and AI, such as Physical Review Letters, IEEE Transactions on Information Theory, Communications in Mathematical Physics, npj Quantum Information, Quantum, NeurIPS, and AAAI. He has given more than 20 oral presentations at prestigious quantum computing conferences such as QIP and TQC, and was invited to deliver a keynote at the top-tier quantum computing conference TQC 2020 (the first from China). He has served as an editor of Quantum and the program committee member for international conferences such as AQIS, QTML, BIID. He has applied for nearly 100 patents in quantum computing (50 granted) and was selected as Top Young Chinese Scholars in Artificial Intelligence (AI+X).

Research Interests:

• Quantum Computing
• Quantum Information
• Quantum Error Correction and Mitigation
• Artificial Intelligence
• Quantum Machine Learning
• Quantum Software and Architecture

除资深教授外，学域还有多位专业强大、具备国际化视野的青年教授：

Research Interests:

• Data mining
• Machine learning
• IG data management, with a special focus on mobile analytics and urban computing

 

PG Coordinator

Assistant Prof.

Hao LIU

 

Assistant Prof.

Yingcong CHEN

Research Interests:

• Computer Vision
• Machine Learning

Research Interests:

• Computer vision
• Computational photography
• Deep learning
• Intelligent systems

 

UG Coordinator

Assistant Prof.

Lin WANG

 

Assistant Prof.

Li LIU

Research Interests:

• Few-shot Learning
• AI Security and Transferability
• AI for Medical Imaging
• Audio-visual Cued Speech Recognition /Generation

Research Interests:

• Human trajectory forecasting
• Action recognition
• Large-scale computer vision
• Video analytics in general

 

Assistant Prof.

Junwei LIANG

 

Assistant Prof.

Ying SUN

Research Interests:

• Explainable Artificial Intelligence
• Data Mining
• Machine Learning

Research Interests:

• Multimodal Learning
• Computer Vision
• Generative AI

 

Assistant Prof.

Hao WANG

*了解更多师资信息，请复制链接到浏览器查看：

https://facultyprofiles.hkust-gz.edu.cn/thrust-faculties?code=10011A10000000000H28

学域主任寄语

"

Welcome to the Artificial Intelligence Thrust of Information Hub at the Hong Kong University of Science and Technology (Guangzhou). We strive to be one of the most innovative and cutting-edge places of learning and research in the world. Our mission is to pursue both fundamental research in Artificial Intelligence (AI) and applied research on a wide range of AI-enabling technologies that can help transform existing legacy applications or build new modern applications.

AI thrust is new-born and ever-growing. By inheriting HKUST’s tradition of “excellence” and “academic freedom”, our thrust has outstanding and creative faculty members with high reputation in the emerging fields of AI, such as AI for Design and Manufacture, AI for Business, AI for Finance, AI for Medicine, AI for Security, AI for Smarty Cities and AI for Smart Living. Faculty and students conducting research in these cutting-edge fields have achieved outstanding achievements and received high reputation in both academic and industrial fields, including but not limited to winning awards in numerous prestigious competitions and top-notch conferences, publishing papers in prestigious journals, as well as cooperating with well-known companies, such as Alibaba, Baidu, and Tencent.

AI is playing a more and more important role in every science and society in the world today. I invite you to explore our website at

https://www.hkust-gz.edu.cn/academics/hubs-and-thrust-areas/information-hub/artificial-intelligence/ where you will find detailed information on our academic program and personal profiles of our faculty members. We look forward to prospective students joining our thrust to conduct research for the future development in research and academic fields. No matter you are in the process of joining us or just hoping to know more about us, we welcome your invaluable thoughts and creative ideas for the future development of AI Thrust.

----

AI Thrust Head,

XIONG Hui

"