Alternate distributed allocation of time reuse patterns in Fog-enabled cooperative D2D networks. - Shengda Jin; Zhaowei Zhu; Yang Yang 001; Ming-Tuo Zhou; Xiliang Luo (FWC, 2017)

Optimal Time Reuse in Cooperative D2D Relaying Networks. - Zhaowei Zhu; Shengda Jin; Yu Zeng 003; Honglin Hu; Xiliang Luo (GLOBECOM Workshops, 2017)

Estimation of sparse equivalent graph filters with limited observations. - Shengda Jin; Zhaowei Zhu; Xuming Song; Sadiq Ali; Hua Qian; Xiliang Luo (DSP, 2017)

Learning graph structure with stationary graph signals via first-order approximation. - Zhaowei Zhu; Shengda Jin; Xuming Song; Xiliang Luo (DSP, 2017)

Optimal Task Offloading in Fog-Enabled Networks via Index Policies. - Fuqian Yang; Zhaowei Zhu; Shangshu Zhao; Yang Yang 001; Xiliang Luo (GlobalSIP, 2018)

Online Optimal Task Offloading with One-Bit Feedback. - Shangshu Zhao; Zhaowei Zhu; Fuqian Yang; Xiliang Luo (GlobalSIP, 2018)

Sparse Spectrum Reuse in HetNets with Relays. - Shengda Jin; Zhaowei Zhu; Cong Shen 001; Sadiq Ali; Hua Qian; Xiliang Luo (GLOBECOM, 2018)

Learn and Pick Right Nodes to Offload. - Zhaowei Zhu; Ting Liu; Shengda Jin; Xiliang Luo (GLOBECOM, 2018)

Research on Τest of Anti-G Suits Αirbag Pressure. - Yi Ding; Zhaowei Zhu; Yandong Wang; Zhongji Zhang; Kaiyuan Song; Li Ding 004 (HCI (6), 2018)

Optimal Interconnection for Massive MIMO Self-Calibration. - Hanyu Zhu; Fuqian Yang; Zhaowei Zhu; Xiliang Luo (ICC, 2018)

CSI Based High Accuracy Device Free Passive Localization System. - Yuge Liu; Wenhui Xiong; Zhaowei Zhu; Shaoqian Li (VTC Fall, 2018)

Optimal Frequency Reuse in HetNets With In-Band Relays. - Shengda Jin; Zhaowei Zhu; Yuechen Wu; Sadiq Ali; Xiliang Luo (IEEE Access, 2018)

Time Reusing in D2D-Enabled Cooperative Networks. - Zhaowei Zhu; Shengda Jin; Yang Yang 001; Honglin Hu; Xiliang Luo (IEEE Trans. Wirel. Commun., 2018)

Learn to Offload in Mobile Edge Computing. - Ting Liu; Zhaowei Zhu; Junrong Gu; Xiliang Luo (GLOBECOM, 2019)

An Approach of Integrating Domain Knowledge into Data-Driven Diagnostic Model. - Guanxu Su; Jianghui Wen; Zhaowei Zhu; Zhuo Liu; Wei Zhao; Xingzhi Sun 002; Gang Hu 001; Guotong Xie (MedInfo, 2019)

BLOT: Bandit Learning-Based Offloading of Tasks in Fog-Enabled Networks. - Zhaowei Zhu; Ting Liu; Yang Yang 001; Xiliang Luo (IEEE Trans. Parallel Distributed Syst., 2019)

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 004; Xingzhi Sun 002; Mengling Feng (CinC, 2020)

Social Bandit Learning: Strangers Can Help. - Jun Zong; Ting Liu; Zhaowei Zhu; Xiliang Luo; Hua Qian (WCSP, 2020)

A Second-Order Approach to Learning With Instance-Dependent Label Noise. - Zhaowei Zhu; Tongliang Liu; Yang Liu 018 (CVPR, 2021)

Embedding Electronic Health Records to Learn BERT-based Models for Diagnostic Decision Support. - Rui Tang; Haishen Yao; Zhaowei Zhu; Xingzhi Sun 002; Gang Hu 001; Yichong Li; Guotong Xie (ICHI, 2021)

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. - Hao Cheng 012; Zhaowei Zhu; Xingyu Li; Yifei Gong; Xing Sun 001; Yang Liu 018 (ICLR, 2021)

Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels. - Zhaowei Zhu; Yiwen Song; Yang Liu 018 (ICML, 2021)

Policy Learning Using Weak Supervision. - Jingkang Wang; Hongyi Guo; Zhaowei Zhu; Yang Liu 018 (NeurIPS, 2021)

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. - Zhaowei Zhu; Xiang Lan 004; Tingting Zhao; Yangming Guo; Pipin Kojodjojo; Zhuoyang Xu; Zhuo Liu; Siqi Liu; Han Wang; Xingzhi Sun 002; Mengling Feng (CoRR, 2021)

A Good Representation Detects Noisy Labels. - Zhaowei Zhu; Zihao Dong; Yang Liu 018 (CoRR, 2021)

Demystifying How Self-Supervised Features Improve Training from Noisy Labels. - Hao Cheng 005; Zhaowei Zhu; Xing Sun 001; Yang Liu 018 (CoRR, 2021)

Federated Bandit: A Gossiping Approach. - Zhaowei Zhu; Jingxuan Zhu; Ji Liu 001; Yang Liu 018 (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Integrating Medical Code Descriptions and Building Text Classification Models for Diagnostic Decision Support. - Rui Tang; Zhaowei Zhu; Haishen Yao; Yanxuan Li; Xingzhi Sun 002; Gang Hu 001; Guotong Xie; Yichong Li (ICHI, 2022)

Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. - Jiaheng Wei; Zhaowei Zhu; Hao Cheng 005; Tongliang Liu; Gang Niu 001; Yang Liu 018 (ICLR, 2022)

The Rich Get Richer: Disparate Impact of Semi-Supervised Learning. - Zhaowei Zhu; Tianyi Luo; Yang Liu 018 (ICLR, 2022)

Detecting Corrupted Labels Without Training a Model to Predict. - Zhaowei Zhu; Zihao Dong; Yang Liu 018 (ICML, 2022)

Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features. - Zhaowei Zhu; Jialu Wang; Yang Liu 018 (ICML, 2022)

Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. - Zhaowei Zhu; Yuanshun Yao; Jiankai Sun; Yang Liu 018; Hang Li 001 (CoRR, 2022)

To Aggregate or Not? Learning with Separate Noisy Labels. - Jiaheng Wei; Zhaowei Zhu; Tianyi Luo; Ehsan Amid; Abhishek Kumar; Yang Liu 018 (CSW@WSDM, 2023)

Mitigating Memorization of Noisy Labels via Regularization between Representations. - Hao Cheng 012; Zhaowei Zhu; Xing Sun 001; Yang Liu 018 (ICLR, 2023)

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. - Zhaowei Zhu; Yuanshun Yao; Jiankai Sun; Hang Li 001; Yang Liu 018 (ICML, 2023)

Fairness Improves Learning from Noisily Labeled Long-Tailed Data. - Jiaheng Wei; Zhaowei Zhu; Gang Niu 001; Tongliang Liu; Sijia Liu 001; Masashi Sugiyama; Yang Liu 018 (CoRR, 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)

Embracing Data-Centric AI: Practical and Provable Solutions to Weakly Supervised Data - Zhaowei Zhu (2023)

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning. - Xinyuan Ji; Zhaowei Zhu; Wei Xi; Olga Gadyatskaya; Zilong Song; Yong Cai; Yang Liu 018 (AAAI, 2024)

Federated Learning with Local Openset Noisy Labels. - Zonglin Di; Zhaowei Zhu; Xiaoxiao Li; Yang Liu 018 (ECCV (34), 2024)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models. - Zhaowei Zhu; Jialu Wang; Hao Cheng; Yang Liu 018 (ICLR, 2024)

Periodicity Association Based Contrastive Learning for Time Series Anomaly Detection. - Jiawei Xu; Zhaowei Zhu; Weiwei Ye; Ning Gui (IJCNN, 2024)

Fairness without Harm: An Influence-Guided Active Sampling Approach. - Jinlong Pang; Jialu Wang; Zhaowei Zhu; Yuanshun Yao; Chen Qian 001; Yang Liu 018 (NeurIPS, 2024)

MVOD: A Multi-View Outlier Detection Method with Single-Feature View Augmentation. - Zhaowei Zhu; Zhu Chen; Ning Gui; Jiawei Xu; Yun Lei; Dongdong Li (SMC, 2024)

Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach. - Jinlong Pang; Jialu Wang; Zhaowei Zhu; Yuanshun Yao; Chen Qian 001; Yang Liu 018 (CoRR, 2024)

Label Smoothing Improves Machine Unlearning. - Zonglin Di; Zhaowei Zhu; Jinghan Jia; Jiancheng Liu; Zafar Takhirov; Bo Jiang; Yuanshun Yao; Sijia Liu 001; Yang Liu 018 (CoRR, 2024)

Improving Data Efficiency via Curating LLM-Driven Rating Systems. - Jinlong Pang; Jiaheng Wei; Ankit Parag Shah; Zhaowei Zhu; Yaxuan Wang; Chen Qian 001; Yang Liu 018; Yujia Bao; Wei Wei 019 (CoRR, 2024)

Reassessing Layer Pruning in LLMs: New Insights and Methods. - Yao Lu; Hao Cheng; Yujie Fang; Zeyu Wang 011; Jiaheng Wei; Dongwei Xu; Qi Xuan 001; Xiaoniu Yang; Zhaowei Zhu (CoRR, 2024)

Improving Data Efficiency via Curating LLM-Driven Rating Systems. - Jinlong Pang; Jiaheng Wei; Ankit Shah 001; Zhaowei Zhu; Yaxuan Wang; Chen Qian 001; Yang Liu 018; Yujia Bao; Wei Wei 019 (ICLR, 2025)

Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. - Yaxuan Wang; Hao Cheng 005; Jing Xiong; Qingsong Wen; Han Jia; Ruixuan Song; Liyuan Zhang; Zhaowei Zhu; Yang Liu 018 (KDD (1), 2025)

Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning. - Jinlong Pang; Na Di; Zhaowei Zhu; Jiaheng Wei; Hao Cheng; Chen Qian 001; Yang Liu (CoRR, 2025)

GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection. - Zhijie Deng; Chris Yuhao Liu; Zirui Pang; Xinlei He 001; Lei Feng 006; Qi Xuan; Zhaowei Zhu; Jiaheng Wei (CoRR, 2025)

Evaluating LLM-corrupted Crowdsourcing Data Without Ground Truth. - Yichi Zhang; Jinlong Pang; Zhaowei Zhu; Yang Liu (CoRR, 2025)

Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring. - Mingjie Xu; Andrew Estornell; Hongzheng Yang; Yuzhi Zhao; Zhaowei Zhu; Qi Xuan; Jiaheng Wei (CoRR, 2025)