上海交通大学自动化系

教育经历

1998~2002 北京航空航天大学学士

2002~2007 清华大学博士

2009~2010 伦敦大学学院访问学者

教材与专著

1. 孙仕亮，赵静，模式识别与机器学习，北京：清华大学出版社，2020年10月

2. Shiliang Sun et al., Multiview Machine Learning, Springer Singapore, January 2019

3. 张楠，孙仕亮，面向多视图数据融合的表示学习，北京：北京航空航天大学出版社，2023年2月

4. 孙仕亮，刘艳，赵静，续晋华，王峰，石东昱，机器学习方向本硕博培养体系，北京：北京航空航天大学出版社，2021年4月

社会兼职

上海市计算机学会人工智能专委会主任

上海市图像图形学学会机器学习专委会主任

中国计算机学会人工智能与模式识别专委会委员

中国人工智能学会机器学习专委会委员

中国自动化学会模式识别与机器智能专委会委员

研究领域：人工智能

学科方向：1. 模式识别与智能系统（控制科学与工程）；2. 计算机应用技术（计算机科学与技术）

研究方向：机器学习，自然语言处理，计算机视觉；人工智能生成内容，多模态大模型等

研究分享公众号（微信搜一搜）：PRML Research Group

博士后招募

拟招募博士后1~2名，从事大数据与人工智能研究。

要求：临近博士毕业或博士毕业两年以内；附两封推荐信（其一来自博士生指导教师）。

欢迎感兴趣的博士毕业生或临近毕业的博士生发邮件联系

Research Statement

During the past 20 years, I have made systematic contributions on the following areas:
1. Bayesian Machine Learning (which is uncertainty aware and data efficient): Probabilistic Modeling and Approximate Inference Methods;
2. Multiview/Multimodal Machine Learning: Theory, Methods and Applications.

For future research, the following areas will be emphasized, which certainly will blend with the above expertise:
1. Causal Inference, Reinforcement Learning, Commonsense Reasoning, Large Multimodal Model;
2. Application: AI Generated Content, Multimodal Machine Translation.

个人简介/Biography

个人简介：

孙仕亮，上海交通大学教授，上海市计算机学会人工智能专委会主任，上海市图像图形学学会机器学习专委会主任。本科毕业于北京航空航天大学，博士毕业于清华大学，曾在University College London，Columbia University等海外高校从事访问研究。2011年至2023年在华东师范大学任职教授，2018年至2023年担任华东师范大学人工智能研究所常务副所长。主要研究方向为机器学习、人工智能。担任IEEE TPAMI、IEEE TNNLS、自动化学报等知名期刊编委。曾获中国自动化学会自然科学奖一等奖等重要奖项。迄今发表学术论文200多篇，2020年出版中文教材《模式识别与机器学习》（清华大学出版社）。

Biography:

Shiliang Sun received the B.E. degree in Automation from Beijing University of Aeronautics and Astronautics, Beijing, China, in 2002 and the Ph.D. degree in Pattern Recognition and Intelligent Systems from Tsinghua University, Beijing, China, in 2007.

He is a Professor with the Department of Automation, Shanghai Jiao Tong University and the Founding Head of the Pattern Recognition and Machine Learning Research Group, East China Normal University, Shanghai, China. In 2004, he was entitled Microsoft Fellow. From 2009 to 2010, he was a Visiting Researcher with the Department of Computer Science, Centre for Computational Statistics and Machine Learning, University College London, London, U.K. In 2014, he was a Visiting Researcher with the Department of Electrical Engineering, Columbia University, New York, NY, USA. From 2011 to 2023, he was a Full Professor at East China Normal University. His research results have expounded in 200+ publications at peer-reviewed journals and conferences, such as JMLR, IEEE TPAMI, IEEE TNNLS, ICML and NeurIPS, and multiple academic monographs and textbooks, such as Multiview Machine Learning, and Pattern Recognition and Machine Learning.