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Qizhou Wang
Qizhou Wang
Verified email at comp.hkbu.edu.hk - Homepage
Title
Cited by
Cited by
Year
Probabilistic Margins for Instance Reweighting in Adversarial Training
Q Wang, F Liu, B Han, T Liu, C Gong, G Niu, M Zhou, M Sugiyama
NeurIPS, 2021
51*2021
Out-of-distribution Detection with Implicit Outlier Transformation
Q Wang, J Ye, F Liu, Q Dai, M Kalander, T Liu, J Hao, B Han
ICLR, 2023
402023
Instance-dependent positive and unlabeled learning with labeling bias estimation
C Gong, Q Wang, T Liu, B Han, J You, J Yang, D Tao
IEEE TPAMI 44 (8), 4163-4177, 2021
402021
Tackling instance-dependent label noise via a universal probabilistic model
Q Wang, B Han, T Liu, G Niu, J Yang, C Gong
AAAI, 2021
352021
Watermarking for Out-of-distribution Detection
Q Wang, F Liu, Y Zhang, J Zhang, C Gong, T Liu, B Han
NeurIPS (spotlight), 2022
312022
Learning to augment distributions for out-of-distribution detection
Q Wang, Z Fang, Y Zhang, F Liu, Y Li, B Han
NeurIPS, 2023
242023
Towards Lightweight Black-Box Attacks against Deep Neural Networks
C Sun, Y Zhang, W Chaoqun, Q Wang, Y Li, T Liu, B Han, X Tian
NeurIPS, 2022
162022
Out-of-distribution detection learning with unreliable out-of-distribution sources
H Zheng, Q Wang, Z Fang, X Xia, F Liu, T Liu, B Han
NeurIPS, 2023
132023
Fraud Detection under Multi-Sourced Extremely Noisy Annotations
C Zhang, Q Wang, T Liu, X Lu, J Hong, B Han, C Gong
CIKM, 2021
112021
Learning with group noise
Q Wang, J Yao, C Gong, T Liu, M Gong, H Yang, B Han
AAAI, 2021
102021
Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning
Q Wang, B Han, P Yang, J Zhu, T Liu, M Sugiyama
arXiv preprint arXiv:2406.09179, 2024
32024
Do CLIPs Always Generalize Better than ImageNet Models?
Q Wang, Y Lin, Y Chen, L Schmidt, B Han, T Zhang
arXiv preprint arXiv:2403.11497, 2024
22024
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Articles 1–12