Ziwei Wu

PhD student, University of Illinois at Urbana-Champaign

Joined

May 2022

Names

Ziwei Wu (Preferred)

Emails

****@illinois.edu (Confirmed)

Personal Links

Google Scholar

Career & Education History

PhD student

University of Illinois at Urbana-Champaign (illinois.edu)

2020 – Present

Advisors, Relations & Conflicts

Social

Hongfu Liu

2026 – Present

Coauthor

Lecheng Zheng

2021 – Present

PhD Advisor

Jingrui He

2020 – 2026

Expertise

Fairness

2020 – Present

Recommendation Systems

2019 – Present

Publications

Rethinking Fair Anomaly Detection From The Group Imbalance Perspective
Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John Birge, Jingrui He
- Submitted to ICLR 2026
- Readers: Everyone
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
- ICLR 2026 Poster
- Readers: Everyone
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
- BERT2S
- Readers: Everyone
Fair Anomaly Detection For Imbalanced Groups
Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John Birge, Jingrui He
- Submitted to ICLR 2025
- Readers: Everyone
Neural Active Learning Beyond Bandits
Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
- ICLR 2024 poster
- Readers: Everyone
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Ziwei Wu, Jingrui He
- 2022 (modified: 24 Jan 2023)
- FAccT 2022
- Readers: Everyone
Fairness-aware Model-agnostic Positive and Unlabeled Learning
Ziwei Wu, Jingrui He
- 2022 (modified: 24 Jan 2023)
- CoRR 2022
- Readers: Everyone
Training Fair Deep Neural Networks by Balancing Influence
Haonan Wang, Ziwei Wu, Jingrui He
- 2022 (modified: 24 Jan 2023)
- CoRR 2022
- Readers: Everyone
Deep Active Learning by Leveraging Training Dynamics
Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- NeurIPS 2022
- Readers: Everyone

View all 13 publications

Co-Authors

View all 30 co-authors