Zhaowei Zhu - RankMe

80 papers A* 17B 5Journal 39Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dataset distillation with pre-trained models: A contrastive approach. Neurocomputing Yao Lu, Xuguang Chen, Jianyang Gu, Yuchen Zhang, Qi Xuan, Zhaowei Zhu
2026	A*	`conf`	Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer. AAAI Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2026	J	`jnl`	Small-Margin Preferences Still Matter-If You Train Them Right. CoRR Jinlong Pang, Zhaowei Zhu, Na Di, Yichi Zhang, Yaxuan Wang, Chen Qian, Yang Liu
2025	J	`jnl`	Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring. CoRR Mingjie Xu, Andrew Estornell, Hongzheng Yang, Yuzhi Zhao, Zhaowei Zhu, Qi Xuan, Jiaheng Wei
2025	J	`jnl`	Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth. CoRR Yichi Zhang, Jinlong Pang, Zhaowei Zhu, Yang Liu
2025	J	`jnl`	GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. CoRR Zhijie Deng, Chris Yuhao Liu, Zirui Pang, Xinlei He, Lei Feng, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	A*	`conf`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. ICLR Jinlong Pang, Jiaheng Wei, Ankit Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2025	J	`jnl`	LM-mixup: Text Data Augmentation via Language Model based Mixup. CoRR Zhijie Deng, Zhouan Shen, Ling Li, Yao Zhou, Zhaowei Zhu, Yanji He, Wei Wang, Jiaheng Wei
2025	—	`conf`	Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. KDD (1) Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2025	J	`jnl`	Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. CoRR Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2025	J	`jnl`	OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models. CoRR Hao Zheng, Zirui Pang, Ling Li, Zhijie Deng, Yuhan Pu, Zhaowei Zhu, Xiaobo Xia, Jiaheng Wei
2025	J	`jnl`	SelectMix: Enhancing Label Noise Robustness through Targeted Sample Mixing. CoRR Qiuhao Liu, Ling Li, Yao Lu, Qi Xuan, Zhaowei Zhu, Jiaheng Wei
2025	J	`jnl`	The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models. CoRR Yao Lu, Yuqi Li, Wenbin Xie, Shanqing Yu, Qi Xuan, Zhaowei Zhu, Shiping Wen
2025	A*	`conf`	Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. ICML Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
2025	J	`jnl`	Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. CoRR Jinlong Pang, Na Di, Zhaowei Zhu, Jiaheng Wei, Hao Cheng, Chen Qian, Yang Liu
2024	J	`jnl`	Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
2024	A*	`conf`	Fairness without Harm: An Influence-Guided Active Sampling Approach. NeurIPS Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
2024	A*	`conf`	FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. AAAI Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu
2024	J	`jnl`	FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. CoRR Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu
2024	—	`conf`	Federated Learning with Local Openset Noisy Labels. ECCV (34) Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu
2024	J	`jnl`	Improving Data Efficiency via Curating LLM-Driven Rating Systems. CoRR Jinlong Pang, Jiaheng Wei, Ankit Parag Shah, Zhaowei Zhu, Yaxuan Wang, Chen Qian, Yang Liu, Yujia Bao, Wei Wei
2024	J	`jnl`	Label Smoothing Improves Machine Unlearning. CoRR Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
2024	B	`conf`	MVOD: A Multi-View Outlier Detection Method with Single-Feature View Augmentation. SMC Zhaowei Zhu, Zhu Chen, Ning Gui, Jiawei Xu, Yun Lei, Dongdong Li
2024	B	`conf`	Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection. IJCNN Jiawei Xu, Zhaowei Zhu, Weiwei Ye, Ning Gui
2024	J	`jnl`	Reassessing Layer Pruning in LLMs: New Insights and Methods. CoRR Yao Lu, Hao Cheng, Yujie Fang, Zeyu Wang, Jiaheng Wei, Dongwei Xu, Qi Xuan, Xiaoniu Yang, Zhaowei Zhu
2024	A*	`conf`	Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. ICLR Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
2023	J	`jnl`	Digitalization of the Business Environment and Innovation Efficiency of Chinese ICT Firms. J. Organ. End User Comput. Jian Ding, Baoliu Liu, Jiaxin Wang, Ping Qiao, Zhaowei Zhu
2023	—	`—`	Embracing Data-Centric AI: Practical and Provable Solutions to Weakly Supervised Data Zhaowei Zhu
2023	J	`jnl`	Fairness Improves Learning from Noisily Labeled Long-Tailed Data. CoRR Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2023	A*	`conf`	Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
2023	—	`conf`	To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2023	A*	`conf`	To Aggregate or Not? Learning with Separate Noisy Labels. KDD Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2023	J	`jnl`	Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. CoRR Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
2023	A*	`conf`	Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu
2022	A*	`conf`	Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML Zhaowei Zhu, Jialu Wang, Yang Liu
2022	J	`jnl`	Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR Zhaowei Zhu, Jialu Wang, Yang Liu
2022	A*	`conf`	Detecting Corrupted Labels Without Training a Model to Predict. ICML Zhaowei Zhu, Zihao Dong, Yang Liu
2022	J	`jnl`	Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li
2022	—	`conf`	Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. ICHI Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li
2022	A*	`conf`	Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
2022	A*	`conf`	The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. ICLR Zhaowei Zhu, Tianyi Luo, Yang Liu
2022	J	`jnl`	To Aggregate or Not? Learning with Separate Noisy Labels. CoRR Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
2021	J	`jnl`	A Good Representation Detects Noisy Labels. CoRR Zhaowei Zhu, Zihao Dong, Yang Liu
2021	A*	`conf`	A Second-Order Approach to Learning With Instance-Dependent Label Noise. CVPR Zhaowei Zhu, Tongliang Liu, Yang Liu
2021	A*	`conf`	Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. ICML Zhaowei Zhu, Yiwen Song, Yang Liu
2021	J	`jnl`	Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. CoRR Zhaowei Zhu, Yiwen Song, Yang Liu
2021	J	`jnl`	Demystifying How Self-Supervised Features Improve Training from Noisy Labels. CoRR Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
2021	—	`conf`	Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. ICHI Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie
2021	—	`conf`	Federated Bandit: A Gossiping Approach. SIGMETRICS (Abstracts) Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
2021	J	`jnl`	Federated Bandit: A Gossiping Approach. Proc. ACM Meas. Anal. Comput. Syst. Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
2021	J	`jnl`	Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. CoRR Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng
2021	A*	`conf`	Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
2021	J	`jnl`	Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
2021	A*	`conf`	Policy Learning Using Weak Supervision. NeurIPS Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
2021	J	`jnl`	The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. CoRR Zhaowei Zhu, Tianyi Luo, Yang Liu
2020	J	`jnl`	A Second-Order Approach to Learning with Instance-Dependent Label Noise. CoRR Zhaowei Zhu, Tongliang Liu, Yang Liu
2020	—	`conf`	Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. CinC Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng
2020	J	`jnl`	Federated Bandit: A Gossiping Approach. CoRR Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
2020	J	`jnl`	Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. CoRR Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
2020	J	`jnl`	Policy Learning Using Weak Supervision. CoRR Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
2020	—	`conf`	Social Bandit Learning: Strangers Can Help. WCSP Jun Zong, Ting Liu, Zhaowei Zhu, Xiliang Luo, Hua Qian
2019	—	`conf`	An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. MedInfo Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie
2019	J	`jnl`	BLOT: Bandit Learning-Based Offloading of Tasks in Fog-Enabled Networks. IEEE Trans. Parallel Distributed Syst. Zhaowei Zhu, Ting Liu, Yang Yang, Xiliang Luo
2019	B	`conf`	Learn to Offload in Mobile Edge Computing. GLOBECOM Ting Liu, Zhaowei Zhu, Junrong Gu, Xiliang Luo
2018	—	`conf`	CSI Based High Accuracy Device Free Passive Localization System. VTC Fall Yuge Liu, Wenhui Xiong, Zhaowei Zhu, Shaoqian Li
2018	B	`conf`	Learn and Pick Right Nodes to Offload. GLOBECOM Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo
2018	J	`jnl`	Learn and Pick Right Nodes to Offload. CoRR Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo
2018	—	`conf`	Online Optimal Task Offloading with One-Bit Feedback. GlobalSIP Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo
2018	J	`jnl`	Online optimal task offloading with one-bit feedback. CoRR Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo
2018	J	`jnl`	Optimal Frequency Reuse in HetNets With In-Band Relays. IEEE Access Shengda Jin, Zhaowei Zhu, Yuechen Wu, Sadiq Ali, Xiliang Luo
2018	—	`conf`	Optimal Interconnection for Massive MIMO Self-Calibration. ICC Hanyu Zhu, Fuqian Yang, Zhaowei Zhu, Xiliang Luo
2018	—	`conf`	Optimal Task Offloading in Fog-Enabled Networks via Index Policies. GlobalSIP Fuqian Yang, Zhaowei Zhu, Shangshu Zhao, Yang Yang, Xiliang Luo
2018	—	`conf`	Research on Τest of Anti-G Suits Αirbag Pressure. HCI (6) Yi Ding, Zhaowei Zhu, Yandong Wang, Zhongji Zhang, Kaiyuan Song, Li Ding
2018	B	`conf`	Sparse Spectrum Reuse in HetNets with Relays. GLOBECOM Shengda Jin, Zhaowei Zhu, Cong Shen, Sadiq Ali, Hua Qian, Xiliang Luo
2018	J	`jnl`	Time Reusing in D2D-Enabled Cooperative Networks. IEEE Trans. Wirel. Commun. Zhaowei Zhu, Shengda Jin, Yang Yang, Honglin Hu, Xiliang Luo
2017	—	`conf`	Alternate distributed allocation of time reuse patterns in Fog-enabled cooperative D2D networks. FWC Shengda Jin, Zhaowei Zhu, Yang Yang, Ming-Tuo Zhou, Xiliang Luo
2017	—	`conf`	Estimation of sparse equivalent graph filters with limited observations. DSP Shengda Jin, Zhaowei Zhu, Xuming Song, Sadiq Ali, Hua Qian, Xiliang Luo
2017	—	`conf`	Learning graph structure with stationary graph signals via first-order approximation. DSP Zhaowei Zhu, Shengda Jin, Xuming Song, Xiliang Luo
2017	—	`conf`	Optimal Time Reuse in Cooperative D2D Relaying Networks. GLOBECOM Workshops Zhaowei Zhu, Shengda Jin, Yu Zeng, Honglin Hu, Xiliang Luo
2017	J	`jnl`	Optimal Time Reuse in Cooperative D2D Relaying Networks. CoRR Zhaowei Zhu, Shengda Jin, Yu Zeng, Honglin Hu, Xiliang Luo