Zhu, Zhaowei

17 publications

NeurIPS 2025 Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu

ICLR 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei

ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu

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

AAAI 2024 FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu

ECCV 2024 Federated Learning with Local Openset Noisy Labels Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu

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

ICLR 2023 Mitigating Memorization of Noisy Labels via Regularization Between Representations Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

ICML 2023 Weak Proxies Are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

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

ICML 2022 Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu, Zihao Dong, Yang Liu

ICLR 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu

ICLR 2022 The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu, Tianyi Luo, Yang Liu

CVPR 2021 A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu, Tongliang Liu, Yang Liu

ICML 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu, Yiwen Song, Yang Liu

ICLR 2021 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

NeurIPS 2021 Policy Learning Using Weak Supervision Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu