| Trusted multi-view classification with dynamic evidential fusion Z Han, C Zhang, H Fu, JT Zhou IEEE transactions on pattern analysis and machine intelligence 45 (2), 2551-2566, 2022 | 223 | 2022 |
| Deep partial multi-view learning C Zhang, Y Cui, Z Han, JT Zhou, H Fu, Q Hu IEEE transactions on pattern analysis and machine intelligence 44 (5), 2402-2415, 2020 | 180 | 2020 |
| CPM-Nets: Cross partial multi-view networks C Zhang, Z Han, H Fu, JT Zhou, Q Hu Advances in Neural Information Processing Systems 32, 2019 | 124 | 2019 |
| Trustworthy Long-Tailed Classification B Li, Z Han, H Li, H Fu, C Zhang Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2021 | 55 | 2021 |
| Multimodal dynamics: Dynamical fusion for trustworthy multimodal classification Z Han, F Yang, J Huang, C Zhang, J Yao Conference on Computer Vision and Pattern Recognition (CVPR 2022), 20707-20717, 2022 | 46 | 2022 |
| Uncertainty-Aware Multi-View Representation Learning Y Geng, Z Han, C Zhang, Q Hu AAAI Conference on Artificial Intelligence (AAAI 2021), 2022 | 41 | 2022 |
| Trusted multi-view classification Z Han, C Zhang, H Fu, JT Zhou International Conference on Learning Representations, 2020 | 29 | 2020 |
| Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions H Ma, Z Han, C Zhang, H Fu, JT Zhou, Q Hu Advances in Neural Information Processing Systems (NeurIPS 2021) 34, 2021 | 26 | 2021 |
| UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, B Wu, C Zhang, J Yao Advances in Neural Information Processing Systems (NeurIPS 2022) 35, 2022 | 23 | 2022 |
| Autoencoder in autoencoder networks C Zhang, Y Geng, Z Han, Y Liu, H Fu, Q Hu IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2022 | 19 | 2022 |
| Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification M Xie, Z Han, C Zhang, Y Bai, Q Hu Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 6 | 2023 |
| Reweighted mixup for subpopulation shift Z Han, Z Liang, F Yang, L Liu, L Li, Y Bian, P Zhao, Q Hu, B Wu, C Zhang, ... arXiv preprint arXiv:2304.04148, 2023 | 2 | 2023 |
| Learning with noisy labels over imbalanced subpopulations MC Chen, Y Zhao, B He, Z Han, B Wu, J Yao arXiv preprint arXiv:2211.08722, 2022 | 2 | 2022 |
| Selective learning: Towards robust calibration with dynamic regularization Z Han, Y Yang, C Zhang, L Zhang, JT Zhou, Q Hu, H Yao arXiv preprint arXiv:2402.08384, 2024 | 1 | 2024 |
| Skip \n: A simple method to reduce hallucination in Large Vision-Language Models Z Han, Z Bai, H Mei, Q Xu, C Zhang, MZ Shou arXiv preprint arXiv:2402.01345, 2024 | | 2024 |
| ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Y Bai, Z Han, C Zhang, B Cao, X Jiang, Q Hu Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2023 | | 2023 |
| Guaranteed Out-Of-Distribution Detection with Diverse Auxiliary Set H Yao, Z Han, H Fu, X Peng, Q Hu, C Zhang | | 2023 |
| Semantic Equivariant Mixup Z Han, T Xie, B Wu, Q Hu, C Zhang arXiv preprint arXiv:2308.06451, 2023 | | 2023 |
| Trusted Multi-View Classification with Dynamic Evidential Fusion Z Han, C Zhang, H Fu, JT Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2022 | | 2022 |
| Deep partial multi-view learning C Zhang, Y Cui, Z Han, JT Zhou, H Fu, Q Hu IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2020 | | 2020 |
Changqing ZhangProfessor, Tianjin UniversityVerified email at tju.edu.cn
