HomeFacultyGuangrun Wang
王广润
Guangrun Wang
副教授
wanggrun@gmail.com

教师简介


I am currently a Research Fellow in the Department of Engineering Science at University of Oxford, working with Prof. Philip H. S. Torr. I am also a Technical Advisor and Consultant on the AI Research Team at Aistetic, Oxford, UK. Prior to that, I obtained my Ph.D. in the HCP Lab of Sun Yat-sen University, advised by Prof. Liang Lin. I also worked as a visiting scholar in the MMLab of The Chinese University of Hong Kong, mentored by Prof. Ping Luo and Prof. Xiaogang Wang. He serves as a Distinguished Senior Program Committee member (only 18 members, announced at the IJCAI-21 Opening Ceremony) and a Senior PC for IJCAI, Program Committee Board of IJCAI (PCB for 2022, 2023, and 2024), SIX TIMES as top/highlighted/outstanding reviewer for NeurIPS, ICLR and ICCV, conference reviewer for COLM, ICML, NeurIPS, ACL, CVPR, AAAI, ECCV, EMNLP, EACL, IJCNLP, NAACL, AACL, WACV, ACCV, PRCV, journal reviewer for TMLR, ISPRS, T-PAMI, T-Cybernetics, T-NNLS, T-IP, T-CSVT, Pattern Recognition, IEEE Access, ISPL, JVCI, IEEE/CAA JAS, IPM, IF, DT, a workshop co-organizer of CVPR 2023. He has obtained double Bachelor Degrees, including Engineering and Business.

研究领域


  • AI General Representation Learning: 2D, 3D, NLP, especially for generative models or "unified models";

  • AI Super Alignment;

  • AI Task Self-Discovery and AI for Science;

 

教育背景


https://wanggrun.github.io/

 

 

工作经历


https://wanggrun.github.io/

 

 

代表性论著


https://wanggrun.github.io/

 

 

Guangrun Wang
Guangrun Wang
副教授
wanggrun@gmail.com

教师简介


I am currently a Research Fellow in the Department of Engineering Science at University of Oxford, working with Prof. Philip H. S. Torr. I am also a Technical Advisor and Consultant on the AI Research Team at Aistetic, Oxford, UK. Prior to that, I obtained my Ph.D. in the HCP Lab of Sun Yat-sen University, advised by Prof. Liang Lin. I also worked as a visiting scholar in the MMLab of The Chinese University of Hong Kong, mentored by Prof. Ping Luo and Prof. Xiaogang Wang. He serves as a Distinguished Senior Program Committee member (only 18 members, announced at the IJCAI-21 Opening Ceremony) and a Senior PC for IJCAI, Program Committee Board of IJCAI (PCB for 2022, 2023, and 2024), SIX TIMES as top/highlighted/outstanding reviewer for NeurIPS, ICLR and ICCV, conference reviewer for COLM, ICML, NeurIPS, ACL, CVPR, AAAI, ECCV, EMNLP, EACL, IJCNLP, NAACL, AACL, WACV, ACCV, PRCV, journal reviewer for TMLR, ISPRS, T-PAMI, T-Cybernetics, T-NNLS, T-IP, T-CSVT, Pattern Recognition, IEEE Access, ISPL, JVCI, IEEE/CAA JAS, IPM, IF, DT, a workshop co-organizer of CVPR 2023. He has obtained double Bachelor Degrees, including Engineering and Business.

研究领域


  • AI General Representation Learning: 2D, 3D, NLP, especially for generative models or "unified models";

  • AI Super Alignment;

  • AI Task Self-Discovery and AI for Science;

 

教育背景


https://wanggrun.github.io/

 

 

工作经历


https://wanggrun.github.io/

 

 

代表性论著


https://wanggrun.github.io/