Bio:
Dr. Shanghang Zhang is a Tenure Track Assistant Professor at the School of Computer Science, Peking University. She received her Ph.D. from Carnegie Mellon University in 2018 and conducted postdoctoral research at the University of California, Berkeley. Committed to research in embodied intelligence and multimodal large models, she has published over 100 papers on top artificial intelligence journals and conferences. Her works have been cited more than 14,000 times on Google Scholar. She was honored with the Best Paper Award at the AAAI'2021. She has authored the book "Deep Reinforcement Learning" published by Springer Nature, with over 200,000 global e-book downloads. In 2018, she was recognized as an "EECS Rising Star" in the United States and was listed on the "Global AI Chinese Female Young Scholars List" in 2023. Zhang previously won several first place prizes in the International Competitions. She has organized workshops at top international conferences such as NeurIPS and ICML and served as a senior program committee member for AAAI 2022, 2023, and 2024.
仉尚航，北京大学计算机学院研究员、助理教授、博士生导师、博雅青年学者、智源学者。致力于具身智能多模态大模型方向的研究，在人工智能顶级期刊和会议上发表论文100余篇，Google Scholar引用数1.4万余次。荣获世界人工智能顶级会议AAAI’2021 最佳论文奖，曾位列世界最大学术源代码仓库Trending Research第一位。作为编辑和作者由Springer Nature出版英文书籍《Deep Reinforcement Learning》，至今电子版全球下载量超二十万次，入选中国作者年度高影响力研究精选。2024年度CS Ranking 人工智能方向北京大学在职教师排名第一。于2018年入选美国“EECS Rising Star”，于2023年入选“全球AI华人女性青年学者榜”、“中国科协青年百人会”。曾获国际人脑多模态计算模型响应预测竞赛第一名，ICCV持续泛化学习竞赛第一名，中关村仿生机器人大赛优胜奖，入选2024具身智能科技前沿热点工作。获北京大学树仁奖、十佳本科优秀毕业论文指导奖、华为智能基座奖、青年教学比赛二等奖等奖项。曾多次在国际顶级会议NeurIPS、ICML上组织Workshop，担任AAAI 2022&2023&2024 高级程序委员。仉尚航于2018年博士毕业于美国卡内基梅隆大学，并于加州大学伯克利分校从事博士后研究。
Research Interests:
- Embodied intelligence including robots learning and autonomous driving
- Multimodal large models with applications to Embodied AI and Science
Publications:
Please refer to the Publications Page and Google Scholar.
Education:
- 2013 - 2018 PhD, Carnegie Mellon University
- 2010 - 2013 Master, Peking University
- 2006 - 2010 Bachelor, Southeast University
Awards:
- • AAAI Best Paper Award
- • Top 50 Global Chinese Female Young Scholars in AI (Selected by Baidu)
- • Rising Stars in EECS, US
- • Chiang Chen Overseas Graduate Fellowship (10 winners nationwide)
Academic Service:
- • Senior Program Committee, AAAI Conference on Artificial Intelligence (AAAI), 2022 & 2023 & 2024.
- • Organizing Chair, Advances in Neural Information Processing Systems (NeurIPS) 2022, 1st Human in the Loop Learning Workshop.
- • Chief Organizer, International Conference on Machine Learning (ICML) 2021, Self-Supervised Learning for Reasoning and Perception.
- • Chief Organizer, International Conference on Machine Learning (ICML) 2021, 3rd Human in the Loop Learning Workshop.
- • Guest Editor, Special Issue on Novel Technologies in Multimedia Big Data, Electronics (ISSN 2079-9292).
- • Chief Organizer, Conference on Neural Information Processing Systems (NeurIPS) 2020, Self-Supervised Learning-Theory and Practice Workshop.
- • Chief Organizer, International Conference on Machine Learning (ICML) 2020, 2nd Human in the Loop Learning Workshop.
- • Chief Organizer, International Conference on Machine Learning (ICML) 2019, 1st Human in the Loop Learning Workshop.
- • Chief Organizer, ACM International Conference on Multimedia Retrieval (ICMR) 2019, "MMAC: Multi-Modal Affective Computing of Large-Scale Multimedia Data" Special Session.
Courses:
- Foundamentals of AI (Spring Term 2023 - Present)
- Computer Vision (Fall Term 2022 - Present)
Contact Information:
- Office: Room 2728, Science Building 2, Department of Computer Science, Peking University
- Email: shanghang "at" pku.edu.cn
- Tel: 86-18932862953
- Wechat: Best_Wishes_0202
