Zhaowei Zhu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 58

Top Topics

Transition Matrix

Sensitive Attributes

Classification Models

Top Venues

Publications

Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. AAAI (2024)
Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu
Label Smoothing Improves Machine Unlearning. CoRR (2024)
Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. CoRR (2024)
Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. ICLR (2024)
Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. CoRR (2024)
Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
Fairness Improves Learning from Noisily Labeled Long-Tailed Data. CoRR (2023)
Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR (2023)
Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. CoRR (2023)
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML (2023)
Jian Ding, Baoliu Liu, Jiaxin Wang, Ping Qiao, Zhaowei Zhu
Digitalization of the Business Environment and Innovation Efficiency of Chinese ICT Firms. J. Organ. End User Comput. 35 (3) (2023)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. KDD (2023)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. CSW@WSDM (2023)
Zhaowei Zhu, Tianyi Luo, Yang Liu
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. ICLR (2022)
Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu
To Aggregate or Not? Learning with Separate Noisy Labels. CoRR (2022)
Zhaowei Zhu, Jialu Wang, Yang Liu
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. ICML (2022)
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR (2022)
Zhaowei Zhu, Zihao Dong, Yang Liu
Detecting Corrupted Labels Without Training a Model to Predict. ICML (2022)
Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR (2022)
Zhaowei Zhu, Jialu Wang, Yang Liu
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. CoRR (2022)
Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li
Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. ICHI (2022)
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR (2021)
Zhaowei Zhu, Tianyi Luo, Yang Liu
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. CoRR (2021)
Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. CoRR (2021)
Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR (2021)
Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
Demystifying How Self-Supervised Features Improve Training from Noisy Labels. CoRR (2021)
Zhaowei Zhu, Yiwen Song, Yang Liu
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. CoRR (2021)
Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
Policy Learning Using Weak Supervision. NeurIPS (2021)
Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie
Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. ICHI (2021)
Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
Federated Bandit: A Gossiping Approach. Proc. ACM Meas. Anal. Comput. Syst. 5 (1) (2021)
Zhaowei Zhu, Yiwen Song, Yang Liu
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. ICML (2021)
Zhaowei Zhu, Tongliang Liu, Yang Liu
A Second-Order Approach to Learning With Instance-Dependent Label Noise. CVPR (2021)
Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
Federated Bandit: A Gossiping Approach. SIGMETRICS (Abstracts) (2021)
Zhaowei Zhu, Zihao Dong, Hao Cheng, Yang Liu
A Good Representation Detects Noisy Labels. CoRR (2021)
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. CoRR (2020)
Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng
Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. CinC (2020)
Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu
Federated Bandit: A Gossiping Approach. CoRR (2020)
Jun Zong, Ting Liu, Zhaowei Zhu, Xiliang Luo, Hua Qian
Social Bandit Learning: Strangers Can Help. WCSP (2020)
Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu
Policy Learning Using Weak Supervision. CoRR (2020)
Zhaowei Zhu, Tongliang Liu, Yang Liu
A Second-Order Approach to Learning with Instance-Dependent Label Noise. CoRR (2020)
Zhaowei Zhu, Ting Liu, Yang Yang, Xiliang Luo
BLOT: Bandit Learning-Based Offloading of Tasks in Fog-Enabled Networks. IEEE Trans. Parallel Distributed Syst. 30 (12) (2019)
Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie
An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. MedInfo (2019)
Ting Liu, Zhaowei Zhu, Junrong Gu, Xiliang Luo
Learn to Offload in Mobile Edge Computing. GLOBECOM (2019)
Shengda Jin, Zhaowei Zhu, Cong Shen, Sadiq Ali, Hua Qian, Xiliang Luo
Sparse Spectrum Reuse in HetNets with Relays. GLOBECOM (2018)
Zhaowei Zhu, Shengda Jin, Yang Yang, Honglin Hu, Xiliang Luo
Time Reusing in D2D-Enabled Cooperative Networks. IEEE Trans. Wirel. Commun. 17 (5) (2018)
Yuge Liu, Wenhui Xiong, Zhaowei Zhu, Shaoqian Li
CSI Based High Accuracy Device Free Passive Localization System. VTC Fall (2018)
Yi Ding, Zhaowei Zhu, Yandong Wang, Zhongji Zhang, Kaiyuan Song, Li Ding
Research on Τest of Anti-G Suits Αirbag Pressure. HCI (6) (2018)
Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo
Online Optimal Task Offloading with One-Bit Feedback. GlobalSIP (2018)
Shengda Jin, Zhaowei Zhu, Yuechen Wu, Sadiq Ali, Xiliang Luo
Optimal Frequency Reuse in HetNets With In-Band Relays. IEEE Access 6 (2018)
Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo
Learn and Pick Right Nodes to Offload. GLOBECOM (2018)
Hanyu Zhu, Fuqian Yang, Zhaowei Zhu, Xiliang Luo
Optimal Interconnection for Massive MIMO Self-Calibration. ICC (2018)
Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo
Online optimal task offloading with one-bit feedback. CoRR (2018)
Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo
Learn and Pick Right Nodes to Offload. CoRR (2018)
Fuqian Yang, Zhaowei Zhu, Shangshu Zhao, Yang Yang, Xiliang Luo
Optimal Task Offloading in Fog-Enabled Networks via Index Policies. GlobalSIP (2018)
Zhaowei Zhu, Shengda Jin, Yu Zeng, Honglin Hu, Xiliang Luo
Optimal Time Reuse in Cooperative D2D Relaying Networks. GLOBECOM Workshops (2017)
Zhaowei Zhu, Shengda Jin, Yu Zeng, Honglin Hu, Xiliang Luo
Optimal Time Reuse in Cooperative D2D Relaying Networks. CoRR (2017)
Shengda Jin, Zhaowei Zhu, Yang Yang, Ming-Tuo Zhou, Xiliang Luo
Alternate distributed allocation of time reuse patterns in Fog-enabled cooperative D2D networks. FWC (2017)
Shengda Jin, Zhaowei Zhu, Xuming Song, Sadiq Ali, Hua Qian, Xiliang Luo
Estimation of sparse equivalent graph filters with limited observations. DSP (2017)
Zhaowei Zhu, Shengda Jin, Xuming Song, Xiliang Luo
Learning graph structure with stationary graph signals via first-order approximation. DSP (2017)