中文

Bowen Zhou

Professional Title: Professor

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  • Work Experience
  • Educational Experience
  • Xianyuan Technology  , Founder

  • JD.com Group  , Senior Vice President of JD.com Group, Chairman of the Technology Committee of JD.com Group, President of JD Cloud & AI, and Founding Dean of JD AI Research Institute

  • IBM  , Director of AI Foundations Labs, IBM Research;Chief Scientist of IBM Watson Group;IBM Distinguished Engineer

  • University of Science and Technology of China  , Electronic Information Engineering  , University graduated  , Bachelor's degree

  • Chinese Academy of Sciences  , Information and Signal Processing  , Postgraduate (Master's Degree)  , Master's degree

  • University of Colorado, USA  , Department of Electrical and Computer Engineering  , With Certificate of Graduation for Doctorate Study  , Doctoral degree

  • Social Affiliations
  • Director and Chief Scientist of Shanghai Artificial Intelligence Laboratory

  • IEEE/CAAI Fellow

  • Vice Chairman of the Artificial Intelligence Standardization Technical Committee of the Ministry of Industry and Information Technology

  • Member of the Expert Committee of the National New Generation Artificial Intelligence Governance

  • Member of the Expert Committee of the National New Generation Artificial Intelligence Development Research Center

  • Executive Director of the National Major Science and Technology Special Project for New Generation Artificial Intelligence

  • Member of the Shanghai Artificial Intelligence Strategic Consulting Expert Committee; Science and Technology Advisor for cities like Beijing, Guangzhou, and Chengdu

  • Visiting Professor at Peking University, University of Science and Technology of China, and Shanghai Jiao Tong University

  • Part-time Professor & Ph.D. Supervisor at The Chinese University of Hong Kong (Shenzhen) and Harbin Institute of Technology

Papers
Foundation Models
Generalization algorithms based on reinforcement learning
Physically interpretable model mechanism analysis and architecture design
Multimodal Understanding and Representation
Image/video understanding and controllable generation
Language model-augmented proteomics analysis
Human-Machine / Multi-Agent Collaboration
Robot control and computer operation driven by vision-language models
Multi-agent collaborative reasoning based on reinforcement learning
AI for Science and Innovation
AI-driven hypothesis generation and frontier theoretical validation in biology, chemistry, physics, and mathematics