Παρακολούθηση
Zhaowei Zhu
Zhaowei Zhu
Docta.ai; University of California, Santa Cruz
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα docta.ai - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
2842022
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
2372021
A Second-Order Approach to Learning with Instance-Dependent Label Noise
Z Zhu, T Liu, Y Liu
CVPR 2021 (oral), 2021
1492021
Clusterability as an alternative to anchor points when learning with noisy labels
Z Zhu, Y Song, Y Liu
ICML 2021 139, 12912-12923, 2021
1062021
Federated bandit: A gossiping approach
Z Zhu, J Zhu, J Liu, Y Liu
Proceedings of the 2021 ACM SIGMETRICS/International Conference on …, 2021
962021
Detecting corrupted labels without training a model to predict
Z Zhu, Z Dong, Y Liu
International conference on machine learning, 27412-27427, 2022
822022
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
612019
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
522022
Mitigating Memorization of Noisy Labels via Regularization between Representations
H Cheng*, Z Zhu*, X Sun, Y Liu
ICLR 2023, 2023
44*2023
The rich get richer: Disparate impact of semi-supervised learning
Z Zhu, T Luo, Y Liu
ICLR 2022, 2022
382022
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
332023
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
212018
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
202023
Unmasking and improving data credibility: A study with datasets for training harmless language models
Z Zhu, J Wang, H Cheng, Y Liu
arXiv preprint arXiv:2311.11202, 2023
172023
Learn and pick right nodes to offload
Z Zhu, T Liu, S Jin, X Luo
2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018
152018
Policy Learning Using Weak Supervision
J Wang*, H Guo*, Z Zhu*, Y Liu
Advances in Neural Information Processing Systems 34, 19960-19973, 2021
132021
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
122018
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
112018
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
X Ji, Z Zhu, W Xi, O Gadyatskaya, Z Song, Y Cai, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12830 …, 2024
92024
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
82018
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