Zhaowei Zhu

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Yang LiuComputer Science and Engineering, UC Santa CruzVerified email at ucsc.edu
Xiliang LuoAppleVerified email at ieee.org
Hao ChengUCSCVerified email at ucsc.edu
Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIVerified email at sydney.edu.au
Xing Sun 孙星TencentVerified email at eee.hku.hk
Jiaheng WeiUniversity of California, Santa CruzVerified email at ucsc.edu
Yang YangShanghai Institute of Fog Computing Technology (SHIFT), ShanghaiTech University, ChinaVerified email at wico.sh
Gang NiuRIKEN Center for Advanced Intelligence ProjectVerified email at riken.jp
Tianyi LuoAmazon Stores Foundational AIVerified email at amazon.com
Fuqian YangShanghaiTech University; University of Chinese Academy of ScienceVerified email at shanghaitech.edu.cn
Shangshu ZhaoPh.D Student, University of ConnecticutVerified email at pitt.edu
Ji LiuStony Brook UniversityVerified email at stonybrook.edu
Yuanshun (Kevin) YaoByteDance ResearchVerified email at bytedance.com
Jialu WangUniversity of California, Santa CruzVerified email at ucsc.edu
Jiankai SunResearch Scientist, ByteDance Inc.Verified email at bytedance.com
Hang LiBytedance ResearchVerified email at bytedance.com
Abhishek KumarGoogle BrainVerified email at google.com
Ehsan AmidSenior Research Scientist at Google DeepMindVerified email at google.com
Jingkang WangUniversity of TorontoVerified email at cs.toronto.edu
Hongyi GuoNorthwestern UniversityVerified email at u.northwestern.edu

Zhaowei Zhu

University of California, Santa Cruz

Verified email at ucsc.edu - Homepage

Machine learning Weakly supervised learning Label Noise Machine Learning Fairness


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Learning with Instance-Dependent Label Noise: A Sample Sieve Approach H Cheng, Z Zhu, X Li, Y Gong, X Sun, Y Liu ICLR 2021, 2021	185	2021
Learning with noisy labels revisited: A study using real-world human annotations J Wei, Z Zhu, H Cheng, T Liu, G Niu, Y Liu ICLR 2022, 2022	183	2022
A Second-Order Approach to Learning with Instance-Dependent Label Noise Z Zhu, T Liu, Y Liu CVPR 2021 (oral), 2021	124	2021
Federated bandit: A gossiping approach Z Zhu, J Zhu, J Liu, Y Liu Proceedings of the 2021 ACM SIGMETRICS/International Conference on …, 2021	80	2021
Clusterability as an alternative to anchor points when learning with noisy labels Z Zhu, Y Song, Y Liu ICML 2021 139, 12912-12923, 2021	79	2021
Detecting corrupted labels without training a model to predict Z Zhu, Z Dong, Y Liu International conference on machine learning, 27412-27427, 2022	55	2022
BLOT: Bandit learning-based offloading of tasks in fog-enabled networks Z Zhu, T Liu, Y Yang, X Luo IEEE Transactions on Parallel and Distributed Systems 30 (12), 2636-2649, 2019	50	2019
Beyond images: Label noise transition matrix estimation for tasks with lower-quality features Z Zhu, J Wang, Y Liu International Conference on Machine Learning, 27633-27653, 2022	37	2022
The rich get richer: Disparate impact of semi-supervised learning Z Zhu, T Luo, Y Liu ICLR 2022, 2022	31	2022
Mitigating Memorization of Noisy Labels via Regularization between Representations H Cheng, Z Zhu, X Sun, Y Liu ICLR 2023, 2023	29*	2023
To aggregate or not? learning with separate noisy labels J Wei, Z Zhu, T Luo, E Amid, A Kumar, Y Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023	20	2023
Time reusing in D2D-enabled cooperative networks Z Zhu, S Jin, Y Yang, H Hu, X Luo IEEE Transactions on Wireless Communications 17 (5), 3185-3200, 2018	20	2018
Learn and pick right nodes to offload Z Zhu, T Liu, S Jin, X Luo 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018	15	2018
Optimal task offloading in fog-enabled networks via index policies F Yang, Z Zhu, S Zhao, Y Yang, X Luo 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018	12	2018
CSI based high accuracy device free passive localization system Y Liu, W Xiong, Z Zhu, S Li 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-5, 2018	11	2018
Policy Learning Using Weak Supervision J Wang, H Guo, Z Zhu*, Y Liu Advances in Neural Information Processing Systems 34, 19960-19973, 2021	10	2021
Weak proxies are sufficient and preferable for fairness with missing sensitive attributes Z Zhu, Y Yao, J Sun, H Li, Y Liu International Conference on Machine Learning, 43258-43288, 2023	9*	2023
Online optimal task offloading with one-bit feedback S Zhao, Z Zhu, F Yang, X Luo 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018	8	2018
Alternate distributed allocation of time reuse patterns in Fog-enabled cooperative D2D networks S Jin, Z Zhu, Y Yang, MT Zhou, X Luo 2017 IEEE Fog World Congress (FWC), 1-6, 2017	8	2017
Fairness improves learning from noisily labeled long-tailed data J Wei, Z Zhu, G Niu, T Liu, S Liu, M Sugiyama, Y Liu arXiv preprint arXiv:2303.12291, 2023	6	2023

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