Hongxin Wei
Hongxin Wei
Southern University of Science and Technology (SUSTech)
Подтвержден адрес электронной почты в домене sustech.edu.cn - Главная страница
Combating noisy labels by agreement: A joint training method with co-regularization.
H Wei, L Feng, X Chen, B An
Computer Vision and Pattern Recognition (CVPR), 13726-13735, 2020
Mitigating Neural Network Overconfidence with Logit Normalization
H Wei, R Xie, H Cheng, L Feng, B An, Y Li
International Conference on Machine Learning (ICML), 2022
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
H Wei, L Tao, R Xie, B An
Advances in Neural Information Processing Systems (NeurIPS), 2021
Commission fee is not enough: A hierarchical reinforced framework for portfolio management
R Wang, H Wei, B An, Z Feng, J Yao
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 626-633, 2021
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
H Wei, L Tao, R Xie, L Feng, B An
International Conference on Machine Learning (ICML), 2022
Deep learning from multiple noisy annotators as a union
H Wei, R Xie, L Feng, B Han, B An
IEEE transactions on neural networks and learning systems, 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
H Wei, H Zhuang, R Xie, L Feng, G Niu, B An, Y Li
International Conference on Machine Learning (ICML), 2023
Multiple-instance learning from similar and dissimilar bags
L Feng, S Shu, Y Cao, L Tao, H Wei, T Xiang, B An, G Niu
proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
H Zhuang, Z Weng, H Wei, R Xie, KA Toh, Z Lin
arXiv preprint arXiv:2205.14922, 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
R Xie, H Wei, L Feng, B An
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
L Tao, L Feng, H Wei, J Yi, SJ Huang, S Chen
Advances in Neural Information Processing Systems 35, 26504-26518, 2022
Metainfonet: Learning task-guided information for sample reweighting
H Wei, L Feng, R Wang, B An
arXiv preprint arXiv:2012.05273, 2020
Embedding-Augmented Generalized Matrix Factorization for Recommendation with Implicit Feedback
L Feng, H Wei, Q Guo, Z Lin, B An
IEEE Intelligent Systems, 1-1, 2020
Conformal Prediction for Deep Classifier via Label Ranking
J Huang, H Xi, L Zhang, H Yao, Y Qiu, H Wei
arXiv preprint arXiv:2310.06430, 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
R Xie, H Wei, Y Cao, L Feng, B An
Advances in Neural Information Processing Systems (NeurIPS), 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
H Chen, J Wang, A Shah, R Tao, H Wei, X Xie, M Sugiyama, B Raj
arXiv preprint arXiv:2309.17002, 2023
Counting and mapping of subwavelength nanoparticles from a single shot scattering pattern
EA Chan, C Rendón-Barraza, B Wang, T Pu, JY Ou, H Wei, G Adamo, ...
Nanophotonics 12 (14), 2807-2812, 2023
DOS: Diverse outlier sampling for out-of-distribution detection
W Jiang, H Cheng, M Chen, C Wang, H Wei
arXiv preprint arXiv:2306.02031, 2023
Alleviating noisy-label effects in image classification via probability transition matrix
Z Zhang, Y Li, H Wei, K Ma, T Xu, Y Zheng
arXiv preprint arXiv:2110.08866, 2021
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Y Cao, H Mozannar, L Feng, H Wei, B An
Advances in Neural Information Processing Systems 36, 2024
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