Zhaowei Zhu

According to our database, Zhaowei Zhu authored at least 46 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Label Smoothing Improves Machine Unlearning.

Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu

CoRR, 2024

Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach.

Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu

CoRR, 2024

Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection.

Jiawei Xu, Zhaowei Zhu, Weiwei Ye, Ning Gui

Proceedings of the International Joint Conference on Neural Networks, 2024

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models.

Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning with Local Openset Noisy Labels.

Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning.

Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Embracing Data-Centric AI: Practical and Provable Solutions to Weakly Supervised Data

Zhaowei Zhu

PhD thesis, 2023

Digitalization of the Business Environment and Innovation Efficiency of Chinese ICT Firms.

Jian Ding, Baoliu Liu, Jiaxin Wang, Ping Qiao, Zhaowei Zhu

J. Organ. End User Comput., 2023

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models.

Zhaowei Zhu, Jialu Wang, Hao Cheng, Yang Liu

CoRR, 2023

Fairness Improves Learning from Noisily Labeled Long-Tailed Data.

Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu

CoRR, 2023

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes.

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

Mitigating Memorization of Noisy Labels via Regularization between Representations.

Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

To Aggregate or Not? Learning with Separate Noisy Labels.

Jiaheng Wei, Zhaowei Zhu, Tianyi Luo, Ehsan Amid, Abhishek Kumar, Yang Liu

Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023

2022

Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models.

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li

CoRR, 2022

Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features.

Zhaowei Zhu, Jialu Wang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2022

Detecting Corrupted Labels Without Training a Model to Predict.

Zhaowei Zhu, Zihao Dong, Yang Liu

Proceedings of the International Conference on Machine Learning, 2022

The Rich Get Richer: Disparate Impact of Semi-Supervised Learning.

Zhaowei Zhu, Tianyi Luo, Yang Liu

Proceedings of the Tenth International Conference on Learning Representations, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support.

Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Federated Bandit: A Gossiping Approach.

Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu

Proc. ACM Meas. Anal. Comput. Syst., 2021

Demystifying How Self-Supervised Features Improve Training from Noisy Labels.

Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

CoRR, 2021

A Good Representation Detects Noisy Labels.

Zhaowei Zhu, Zihao Dong, Yang Liu

CoRR, 2021

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function.

Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng

CoRR, 2021

Policy Learning Using Weak Supervision.

Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels.

Zhaowei Zhu, Yiwen Song, Yang Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach.

Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support.

Rui Tang, Haishen Yao, Zhaowei Zhu, Xingzhi Sun, Gang Hu, Yichong Li, Guotong Xie

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

A Second-Order Approach to Learning With Instance-Dependent Label Noise.

Zhaowei Zhu, Tongliang Liu, Yang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Social Bandit Learning: Strangers Can Help.

Jun Zong, Ting Liu, Zhaowei Zhu, Xiliang Luo, Hua Qian

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet.

Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng

Proceedings of the Computing in Cardiology, 2020

2019

BLOT: Bandit Learning-Based Offloading of Tasks in Fog-Enabled Networks.

Zhaowei Zhu, Ting Liu, Yang Yang, Xiliang Luo

IEEE Trans. Parallel Distributed Syst., 2019

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model.

Guanxu Su, Jianghui Wen, Zhaowei Zhu, Zhuo Liu, Wei Zhao, Xingzhi Sun, Gang Hu, Guotong Xie

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Learn to Offload in Mobile Edge Computing.

Ting Liu, Zhaowei Zhu, Junrong Gu, Xiliang Luo

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Time Reusing in D2D-Enabled Cooperative Networks.

Zhaowei Zhu, Shengda Jin, Yang Yang, Honglin Hu, Xiliang Luo

IEEE Trans. Wirel. Commun., 2018

Optimal Frequency Reuse in HetNets With In-Band Relays.

Shengda Jin, Zhaowei Zhu, Yuechen Wu, Sadiq Ali, Xiliang Luo

IEEE Access, 2018

CSI Based High Accuracy Device Free Passive Localization System.

Yuge Liu, Wenhui Xiong, Zhaowei Zhu, Shaoqian Li

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Optimal Interconnection for Massive MIMO Self-Calibration.

Hanyu Zhu, Fuqian Yang, Zhaowei Zhu, Xiliang Luo

Proceedings of the 2018 IEEE International Conference on Communications, 2018

Research on Τest of Anti-G Suits Αirbag Pressure.

Yi Ding, Zhaowei Zhu, Yandong Wang, Zhongji Zhang, Kaiyuan Song, Li Ding

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2018

Learn and Pick Right Nodes to Offload.

Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo

Proceedings of the IEEE Global Communications Conference, 2018

Sparse Spectrum Reuse in HetNets with Relays.

Shengda Jin, Zhaowei Zhu, Cong Shen, Sadiq Ali, Hua Qian, Xiliang Luo

Proceedings of the IEEE Global Communications Conference, 2018

Online Optimal Task Offloading with One-Bit Feedback.

Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Optimal Task Offloading in Fog-Enabled Networks via Index Policies.

Fuqian Yang, Zhaowei Zhu, Shangshu Zhao, Yang Yang, Xiliang Luo

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017

Learning graph structure with stationary graph signals via first-order approximation.

Zhaowei Zhu, Shengda Jin, Xuming Song, Xiliang Luo

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Estimation of sparse equivalent graph filters with limited observations.

Shengda Jin, Zhaowei Zhu, Xuming Song, Sadiq Ali, Hua Qian, Xiliang Luo

Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Optimal Time Reuse in Cooperative D2D Relaying Networks.

Zhaowei Zhu, Shengda Jin, Yu Zeng, Honglin Hu, Xiliang Luo

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Alternate distributed allocation of time reuse patterns in Fog-enabled cooperative D2D networks.

Shengda Jin, Zhaowei Zhu, Yang Yang, Ming-Tuo Zhou, Xiliang Luo

Proceedings of the IEEE Fog World Congress, 2017