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Journal Articles
- 2024
[j5]Zongbo Han
, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024)- [j4]Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu:
Confidence-aware multi-modality learning for eye disease screening. Medical Image Anal. 96: 103214 (2024) - [j3]Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024) - 2023
- [j2]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification With Dynamic Evidential Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2551-2566 (2023) - 2022
- [j1]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2402-2415 (2022)
Conference and Workshop Papers
- 2024
- [c9]Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR 2024: 17480-17489 - 2023
- [c8]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR 2023: 19873-19882 - 2022
- [c7]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CVPR 2022: 6960-6969 - [c6]Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao:
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR 2022: 20675-20685 - [c5]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. NeurIPS 2022 - 2021
- [c4]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. AAAI 2021: 7545-7553 - [c3]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. ICLR 2021 - [c2]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS 2021: 6881-6893 - 2019
- [c1]Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS 2019: 557-567
Informal and Other Publications
- 2024
- [i18]Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou:
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models. CoRR abs/2402.01345 (2024) - [i17]Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao:
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR abs/2402.08384 (2024) - [i16]Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou:
Hallucination of Multimodal Large Language Models: A Survey. CoRR abs/2404.18930 (2024) - [i15]Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang:
Multimodal Fusion on Low-quality Data: A Comprehensive Survey. CoRR abs/2404.18947 (2024) - [i14]Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu:
Confidence-aware multi-modality learning for eye disease screening. CoRR abs/2405.18167 (2024) - [i13]Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang:
DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR abs/2409.19375 (2024) - 2023
- [i12]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
Reweighted Mixup for Subpopulation Shift. CoRR abs/2304.04148 (2023) - [i11]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR abs/2304.05165 (2023) - [i10]Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang:
Semantic Equivariant Mixup. CoRR abs/2308.06451 (2023) - [i9]Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR abs/2311.15243 (2023) - 2022
- [i8]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022) - [i7]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR abs/2204.11423 (2022) - [i6]Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao:
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup. CoRR abs/2209.08928 (2022) - [i5]Mingcai Chen, Yu Zhao, Bing He, Zongbo Han, Bingzhe Wu, Jianhua Yao:
Learning with Noisy Labels over Imbalanced Subpopulations. CoRR abs/2211.08722 (2022) - 2021
- [i4]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. CoRR abs/2102.02051 (2021) - [i3]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021) - [i2]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CoRR abs/2111.09030 (2021) - 2020
- [i1]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020)
Coauthor Index
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