ASSIST 2026

黄萱菁，复旦大学特聘教授、博士生导师，国家级领军人才。主要从事人工智能、自然语言处理与大语言模型研究。兼任中国计算机学会理事、自然语言处理专委会主任，中国中文信息学会理事，国际计算语言学学会（ACL）执委、亚太分会（AACL）主席。发表论文300余篇，被引逾40,000次。获上海市科技进步一等奖、吴文俊人工智能科学技术奖自然科学一等奖、钱伟长中文信息处理科学技术奖一等奖等荣誉，入选全球前2%顶尖科学家、福布斯中国科技女性、上海市优秀学术带头人。

Quan Vuong is a robotics researcher and Co-Founding Member of Physical Intelligence. His research focuses on large-scale pre-training for robot learning, cross-embodiment generalization, and vision-language-action (VLA) models. He previously conducted core research at Google DeepMind and holds a Ph.D. degree from UC San Diego, co-advised by Prof. Henrik I. Christensen and Prof. Hao Su.

Yonggang Wen is a Professor and President’s Chair in Data Science at Nanyang Technological University
(NTU), Singapore. Currently he serves as the Vice Provost (Graduate Education) and Dean of Graduate
College at NTU Singapore. Previously he has served as the Associate Vice President (Capability Building) at
President’s Office (2023), the Associate Dean (Research) at College of Engineering (2018-2023), the acting
Director for Nanyang Technopreneurship Center (NTC) (2017-2019) and the Assistant Chair (Innovation) at
the School of Computer Science and Engineering (2016-2018), all at NTU Singapore. He received his PhD
degree in Electrical Engineering and Computer Science (minor in Western Literature) from Massachusetts
Institute of Technology (MIT), Cambridge, USA, his MPhil in Information Engineering from The Chinese
University of Hong Kong, Hong Kong, and his BEng in Electronic Engineering and Information Science from
University of Science and Technology of China, Hefei, China, in 2008, 2001 and 1999, respectively.
Dr. Wen has published over 400 papers in top journals and prestigious conferences. His systems research
has gained global recognitions. His work in Multi-Screen Cloud Social TV has been featured by global media
(more than 1600 news articles from over 29 countries) and received ASEAN ICT Award 2013 (Gold Medal).
His work on Cognitive Digital Twin for Data Centre, has won the 2015 Data Centre Dynamics Awards – APAC
(the ‘Oscar’ award of data centre industry), 2016 ASEAN ICT Awards (Gold Medal), 2020 IEEE TCCPS
Industrial Technical Excellence Award, 2021 W.Media APAC Cloud and Datacenter Technology Leader
Award, and 2022 Singapore Computer Society Digital Achiever Tech Leader Award. His work in Space Data
Center has been published in Nature Electronics in 2025, cited as the only reference in the USA Government
Accounting Office’s briefing to the US Congress in 2026. He was the winner of 2019 Nanyang Research Award
and the sole winner of 2016 Nanyang Awards for Innovation and Entrepreneurship, both of which are the
highest recognition at NTU. He is a co-recipient of multiple Best Paper Awards from top journals, including
2019 IEEE TCSVT and 2015 IEEE Multimedia, and at international conferences, including 2023 ASPLOS,
2016 IEEE Globecom, 2016 IEEE Infocom MuSIC Workshop, 2015 EAI Chinacom, 2014 IEEE WCSP, 2013
IEEE Globecom and 2012 IEEE EUC. He has served as the Editor in Chief of IEEE Transactions on Multimedia
(TMM) (2023 - 2025), serves or has served on editorial boards for multiple IEEE and ACM transactions, and
was the elected Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His
research interests include AI infrastructure, cloud computing, green data center, big data analytics, multimedia
network and mobile computing.
He is a Fellow of IEEE and Singapore Academy of Engineering, and an ACM Distinguished Member.

吴贤博士，腾讯天衍实验室主任、专家研究员，长期专注于医学人工智能，研究方向涵盖医学大语言模型、医学多模态、医学自然语言理解、医学知识图谱与临床决策支持。此前分别就职于 IBM 中国研究院与微软（中国）研究部门。累计发表顶会顶刊论文 100 余篇，涵盖 Nature Biomedical Engineering、Nature Computational Science、npj Digital Medicine、T-PAMI、NeurIPS、ICML、ICLR、ACL、CVPR、KDD、等；Google Scholar 引用超过 1 万次，，入选斯坦福大学 2024 全球前 2% 顶尖科学家；获 WWW 2026 Best Paper Award。所领导团队研发的医学AI产品已落地全国 1900 余家医院，服务患者每月超过 250 万。曾获华夏医学科技一等奖、福建省科技进步一等奖、广东省科技进步二等奖等多项国家与省部级奖励。在上海交通大学获得博士学位。