中文
Principle Investigator
Guo-Jun Qi, Ph.D.
School of Engineering
Machine Perception and Learning (MAPLE)

Prof. Guo-Jun Qi was a technical VP and the Chief Scientist in Futurewei Technologies (Huawei Research America) based in Bellevue, WA, overseeing and leading the R&D for multiple cloud computing services, including Smart Cities, Visual Computing, Satellite Remoting Sensing, Vechicle Networking, and Autonomous Driving, and then founded the OPPO Research Center based in Seattle and several other cities across countries.  He is a Changjiang Chair Professor at Westlake University, the first private non-profit research-oriented university based in Hangzhou.  Previously,  he was a faculty member and the director of MAPLE (MAchine Perception and LEarning) lab at Computer Science Department in the University of Central Florida, and a Research Staff Member at the IBM T.J. Watson Research Center (Yorktown Heights, NY).  Before that, he worked in National University of Singapore and Microsoft Research Asia.  He received Bachelor and Ph.D. degrees from the University of Science and Technology of China and the University of Illinois at Urbana-Champaign.

He is a Fellow of IEEE, IAPR and AAIA, as well as an ACM Distinguished Scientist and a Life Member of AAAI.

Email: maple_hr@westlake.edu.cn

Research Assistant Professor
Liyuan Ma
2023-present Research Assistant Westlake University
2018-2023, Ph.D, College of Information Science&&Electronic Engineering, Zhejiang University

My research is dedicated to constructing world models that emulate real-world phenomena, enabling the creation, control, and editing of rich visual content. My primary focus is on diffusion model and multimodal content generation applications, with an emphasis on controllable generation and editing of images and videos.

Email: maliyuan@westlake.edu.cn

Postdoctoral Fellows
Zhiyang Chen
2024-Present, PostDoc, Westlake University
2019-2024, Ph.D, Institute of Automation, Chinese Academy of Sciences

My research focuses on improving the quality and effectiveness of human instruction-following in multi-modal generation, with the aim of advancing Artificial General Intelligence (AGI). I explore key areas such as large-scale multi-modal models, diffusion models, and reinforcement learning to develop more robust and adaptive systems capable of understanding and responding to complex human directives across diverse modalities.

Email: chenzhiyang@westlake.edu.cn

Co-adviser
  • Mingyuan Zhou

    mzhounote@gmail.com

  • Weijian Luo

    luoweijian@westlake.edu.cn

Assistants
  • Tianxin Jiang

    Administrative Assistant

    jiangtianxin@westlake.edu.cn

Ph.D Students
  • Jinjin Cao

    caojinjin@westlake.edu.cn

  • Tiancheng Li

    litiancheng@westlake.edu.cn

  • Xueji Fang

    fangxueji@westlake.edu.cn

  • Zemin Huang

    huangzemin@westlake.edu.cn

  • Zijun Wang

    wangzijun63@westlake.edu.cn

Visiting Students

  • Xingyu Zhang

    xy.zhang042@gmail.com

  • Zilv Ye

    yezilv@westlake.edu.cn

  • Yang Hu

    huyangtorus@gmail.com



Alumni
Students:
  • Jie Wang

    Tongji University

  • Jianhao Zeng

    Tianjin University

  • Zirui Cheng

    Huazhong University of Science and Technology

  • Guancheng Zhou

    Xi'an Jiaotong University

  • Wenyue Chen

    Dalian University of Technology

  • Jing Xu

    Nanjing University of Aeronautics and Astronautics

  • Yuelin Li

    Beijing University of Posts and Telecommunications

  • Jinxiu Liu

    South China University of Technology

  • Zixuan Chen

    South China University of Technology

  • Ruotian Peng

    South China University of Technology

  • Chaowei Liu

    National University of Singapore

  • Zeyu Wu

    University of Science and Technology of China

  • Zihao Pan

    Sun Yat-sen University