I am Dequan Wang (王德泉), an assistant professor at Shanghai Jiao Tong University and a full-time mentor at Shanghai Innovation Institute.
My research lies at the intersection of Agentic AI and Life Sciences, developing generative AI that treats living cells as programmable machines. I am particularly interested in leveraging large-scale models and multi-agent systems to decode complex biological processes more efficiently and effectively.
I completed my Ph.D. at University of California, Berkeley, advised by Prof. Trevor Darrell, and earned my B.S. from Fudan University.
Shanghai Jiao Tong University
Shanghai Innovation Institute
Shanghai Artificial Intelligence Laboratory
University of California, Berkeley
Fudan University
Lingfeng Zhou, Jialing Zhang, Jin Gao, Mohan Jiang, Dequan Wang
COLM 2025Mohan Jiang*, Jin Gao*, Jiahao Zhan, Dequan Wang
COLM 2025Dequan Wang*, Zheling Tan*, Jin Gao*, Shaoting Zhang, Jiaqi Shen, Yuming Lu
SCIENCE CHINA Life Sciences (2025)Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang
ECCV 2024Juntu Zhao, Junyu Deng*, Yixin Ye*, Chongxuan Li, Zhijie Deng#, Dequan Wang#
ECCV 2024Dequan Wang*, Xiaosong Wang*, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao#, Shaoting Zhang#
Scientific Data (2023)Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
MICCAI 2023Jin Gao*, Jialing Zhang*, Xihui Liu, Trevor Darrell, Evan Shelhamer#, Dequan Wang#
CVPR 2023