About me

I am a first-year 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

• 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]

• Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
  Zijing Ou, Qinliang Su, Jianxin Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng. Annual Meeting of the Association for Computational Linguistics (ACL), 2021. [paper] [code] [slides]

Services

• Conference Reviewing: ICML-2023, IJCAI-2023, AISTAT-2023, NIPS-2022 (Top Reviewer), ICML-2022, ECML-2022, ACL-2022, IJCAI-2022, NAACL-2022.