Seguir
Qizhou Wang
Qizhou Wang
Hong Kong Baptist University
Dirección de correo verificada de comp.hkbu.edu.hk - Página principal
Título
Citado por
Citado por
Año
Probabilistic Margins for Instance Reweighting in Adversarial Training
Q Wang, F Liu, B Han, T Liu, C Gong, G Niu, M Zhou, M Sugiyama
35th Conference on Neural Information Processing Systems, Sydney, Australia., 2021
45*2021
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 transactions on pattern analysis and machine intelligence 44 (8), 4163-4177, 2021
342021
Tackling instance-dependent label noise via a universal probabilistic model
Q Wang, B Han, T Liu, G Niu, J Yang, C Gong
Thirty-Fifth AAAI Conference on Artificial Intelligence, 10192--10200, 2021
282021
Out-of-distribution Detection with Implicit Outlier Transformation
Q Wang, J Ye, F Liu, Q Dai, M Kalander, T Liu, J Hao, B Han
International Conference on Learning Representations (ICLR) 2023, 2023
232023
Watermarking for Out-of-distribution Detection
Q Wang, F Liu, Y Zhang, J Zhang, C Gong, T Liu, B Han
Thirty-sixth Conference on Neural Information Processing Systems, New …, 2022
212022
Learning with group noise
Q Wang, J Yao, C Gong, T Liu, M Gong, H Yang, B Han
Thirty-Fifth AAAI Conference on Artificial Intelligence, 10192--10200, 2021
122021
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
Thirty-sixth Conference on Neural Information Processing Systems, New …, 2022
112022
Learning to augment distributions for out-of-distribution detection
Q Wang, Z Fang, Y Zhang, F Liu, Y Li, B Han
NeurIPS, 2023
72023
Fraud Detection under Multi-Sourced Extremely Noisy Annotations
C Zhang, Q Wang, T Liu, X Lu, J Hong, B Han, C Gong
30th ACM Int’l Conf. on Information and Knowledge Management (CIKM ’21 …, 2021
72021
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
Advances in Neural Information Processing Systems 36, 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
2024
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–11