About me

I am a PhD student at Imperial College London, advised by Yingzhen Li. These days I am interested in generative models, approximate inference, and explainable AI.

I was extremely fortunate to have many wonderful mentors in my undergraduate years. I started machine learning research with Qinliang Su at Sun Yat-sen University. I worked with Yefeng Zheng and Bang Liu as part of Tencent Jarvis Lab. I also had a wonderful research internship with Yatao Bian in Tencent AI Lab.

Publications

check the full list here

• Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  Tobias Schröder, Zijing Ou, Jen Ning Lim, Yingzhen Li, Sebastian Vollmer, and Andrew Duncan. Neural Processing Information Systems (NeurIPS), 2023. [paper] [code]

• Learning Neural Set Functions Under the Optimal Subset Oracle
  Oral (Accept rate~1.7%)
  Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, and Yatao Bian. Neural Processing Information Systems (NeurIPS), 2022. [paper] [code] [slides] [poster]

Services

• Conference Reviewing: ICLR (2024), ICML (2022-2024), NeurIPS (2022-2023), AISTAT (2023-2024), IJCAI (2022-2024), ACL (2022), NAACL (2022)