Wang, Jialu

11 publications

TMLR 2025 Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng

NeurIPS 2024 Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

ICLR 2024 Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang

ICLR 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu

ICML 2023 A/B Testing in Network Data with Covariate-Adaptive Randomization Jialu Wang, Ping Li, Feifang Hu

TMLR 2023 Learning to Incentivize Improvements from Strategic Agents Yatong Chen, Jialu Wang, Yang Liu

ICML 2022 Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu, Jialu Wang, Yang Liu

NeurIPS 2022 Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen, Reilly Raab, Jialu Wang, Yang Liu

ICML 2022 Understanding Instance-Level Impact of Fairness Constraints Jialu Wang, Xin Eric Wang, Yang Liu

NeurIPS 2021 Can Less Be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu, Jialu Wang

AAAI 2019 Academic Reader: An Interactive Question Answering System on Academic Literatures Yining Hong, Jialu Wang, Yuting Jia, Weinan Zhang, Xinbing Wang