40 Hours Everyday!
About Me
I am a third-year PhD student at University of Illinois at Urbana-Champaign (UIUC). I am fortunate to be advised by Professor Jingrui He. Before that, I completed my bachlor degree in Computer Science at University of Science and Technology of China (USTC). My research interest lies in fairness-aware machine learning, trustworthy machine learning, and graph mining. I also love classical music and kpop dance.
Publications
Neural Active Learning Beyond Bandits.
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
ICLR, 2024.
Training Fair Deep Neural Networks by Balancing Influence.
Haonan Wang*, Ziwei Wu*, Jingrui He
WSDM, 2024.
Deep Active Learning by Leveraging Training Dynamics.
Haonan Wang, Wei Huang, Ziwei Wu, Andrew Margenot, Hanghang Tong, Jingrui He., Jingrui He
NeurIPS, 2022.
Fairness-aware Model-agnostic Positive and Unlabeled Learning.
Ziwei Wu, Jingrui He
ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2022. Distinguished Paper Award.
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (SIGKDD), 2021. Most Influential KDD Papers.
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang.
IEEE International Conference on Data Mining (ICDM), 2020.
Experience
Meituan, 2020
Knowledge Graph and Data Mining Group, Advisor: Dr. Mengdi Zhang and Dr. Fuzheng Zhang
Microsoft Research Asia, 2020
Creative Talent Academy, Advisor: Dr. Ming Zhou
University of California, Los Angeles, 2019
Cross-Disciplinary Scholars in Science and Technology (CSST), Advisor: Prof. Wei Wang and Prof. Yizhou Sun
Education
University of Illinois at Urbana-Champaign, 2020-present
Ph.D. student, Advisor: Prof. Jingrui He
University of Science and Technology of China, 2016-2020
Bachelor of Computer Science, Advisor: Prof. Xiangyang Li and Prof. Xiangnan He
Services
Program Committee: CIKM 2021, CIKM 2022, WSDM 2023, CIKM 2023, FAccT 2023, BigData 2023, AAAI 2024
Reviewer: ACM Multimedia 2021, SIGIR 2021, NeurIPS 2022, TMLR, NeurIPS 2023, KDD 2023, NeurIPS 2024, ICLR 2024, WWW 2024
Selected Honors
- Distinguished Paper Award of FAccT, 2022
- Best Program Committee of CIKM, 2022
- Most Influential KDD Papers, 2021
- Valedictorian of Class of 2020, USTC
- Guo Moruo Scholarship (Summa Cum Laude), 2019
- Tang Lixin Scholarship, 2018
- National Scholarship of China, 2017