Selected Publications

[1] Multimodal Fusion on Low-quality Data: A Comprehensive Survey,
Qingyang Zhang et al. [LINK][CODE]

[2] Trusted Multi-View Classification with Dynamic Evidential Fusion,
Zongbo Han, Changqing Zhang* Huazhu Fu and Joey Tianyi Zhou,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) (CCF推荐A类期刊, IF: 20.8), 2022. [LINK][CODE]

[3] The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection,
Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang*,
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2024. [LINK][CODE]

[4] Out-Of-Distribution Detection with Diversification (Provably),
Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang*,
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2024. [LINK][CODE]

[5] Interactive Deep Clustering via Value Mining,
Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng,
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2024. [LINK][CODE]

[6] Test-Time Dynamic Image Fusion,
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu,
The Thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2024. [LINK][CODE]

[7] Predictive Dynamic Fusion,
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang*, Qinghua Hu,
Proceedings of the 41st International Conference on Machine Learning (ICML) (CCF推荐A类会议), 2024. [LINK][CODE]

[8] ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection,
Yichen Bai, Zongbo Han, Changqing Zhang*, Bing Cao, Xiaoheng Jiang, Qinghua Hu,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CCF推荐A类会议), 2024. [LINK][CODE]

[9] Test-time Adaption against Multi-modal Reliability Bias,
Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng,
The 12th International Conference on Learning Representations (ICLR) (机器学习顶级会议), 2024. [LINK][CODE]

[10] Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification,
Meng Wang, ..., Changqing Zhang, ..., Xinjian Chen, Haoyu Chen, Huazhu Fu,
Nature Communications (IF: 16.6), 2023. [LINK][CODE]

[11] Semantic Invariant Multi-view Clustering with Fully Incomplete Information,
Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) (CCF推荐A类期刊, IF: 20.8), 2023. [LINK][CODE]

[12] Fairness-guided Few-shot Prompting for Large Language Models,
Huan Ma, Changqing Zhang*, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu*,
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2023. [LINK][CODE]

[13] Provable Dynamic Fusion for Low-Quality Multimodal Data,
Qingyang Zhang, Haitao Wu, Changqing Zhang*, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng,
Proceedings of the 40th International Conference on Machine Learning (ICML) (CCF推荐A类会议), 2023. [LINK][CODE]

[14] dugMatting: Decomposed-Uncertainty-Guided Matting,
Jiawei Wu, Changqing Zhang*, Zuoyong Li*, Huazhu Fu, Xi Peng, Joey Tianyi Zhou,
Proceedings of the 40th International Conference on Machine Learning (ICML) (CCF推荐A类会议), 2023. [LINK][CODE]

[15] Calibrating Multimodal Learning,
Huan Ma, Qingyang Zhang, Changqing Zhang*, Bingzhe Wu*, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu,
Proceedings of the 40th International Conference on Machine Learning (ICML) (CCF推荐A类会议, Oral Paper), 2023. [LINK][CODE]

[16] UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup,
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu*,Changqing Zhang*, Jianhua Yao*,
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2022. [LINK][CODE]

[17] Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification,
Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang* and Jianhua Yao*,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CCF推荐A类会议), 2022. [LINK][CODE]

[18] Trustworthy Long-tailed Classification,
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu and Changqing Zhang*,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CCF推荐A类会议), 2022. [LINK][CODE]

[19] Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions,
Huan Ma, Zongbo Han, Changqing Zhang*, Huazhu Fu, Joey Tianyi Zhou and Qinghua Hu,
The Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议), 2021. [LINK][CODE]

[20] Trusted Multi-View Classification,
Zongbo Han, Changqing Zhang*, Huazhu Fu, Joey Tianyi Zhou,
The 9th International Conference on Learning Representations (ICLR) (机器学习顶级会议), 2021. [LINK][CODE]

[21] Uncertainty-Aware Multi-View Representation Learning,
Yu Geng, Zongbo Han, Changqing Zhang*, Qinghua Hu,
The Thirty-Five AAAI Conference on Artificial Intelligence (AAAI) (CCF推荐A类会议), 2020. [LINK][CODE]

[22] Deep Partial Multi-View Learning,
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu and Qinghua Hu,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) (CCF推荐A类期刊, IF: 20.8), [LINK][CODE]

[23] Generalized Latent Multi-View Subspace Clustering,
Changqing Zhang*, Huazhu Fu, Qinghua Hu*, Xiaochun Cao, Yuan Xie, Dacheng Tao and Dong Xu,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) (CCF推荐A类期刊, IF: 20.8), [LINK][CODE]

[24] A Fast Adaptive k-means with No Bounds,
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei and Zizhong Chen,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE T-PAMI) (CCF推荐A类期刊, IF: 20.8), [LINK]

[25] Tensorized Multi-View Subspace Representation Learning,
Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu,
International Journal of Computer Vision (IJCV) (CCF推荐A类期刊, SCI一区期刊), [LINK]

[26] CPM-Nets: Cross Partial Multi-View Networks,
Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, and Qinghua Hu,
The Thirty-third Conference on Neural Information Processing Systems (NeurIPS) (CCF推荐A类会议, Spotlight Paper, ~3%), 2019. [LINK][CODE]

[27] AE^2-Nets: Autoencoder in Autoencoder Networks,
Changqing Zhang*, Yeqing Liu, Huazhu Fu,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (CCF推荐A类会议, Oral Paper, ~5.6%), 2019. [LINK][CODE]

[28] Latent Multi-view Subspace Clustering,
Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu and Xiaochun Cao,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(CCF推荐A类会议, Spotlight Paper, ~8%), 2017: 4333-4341.
[LINK][CODE][DATA]

[29] Low-Rank Tensor Constrained Multiview Subspace Clustering,
Changqing Zhang, Huazhu Fu,Si Liu,Guangcan Liu and Xiaochun Cao,
IEEE International Conference on Computer Vision (ICCV)(CCF推荐A类会议), 2015: 1582--1590. [LINK] [CODE][DATA]

[30] Diversity-induced Multi-View Subspace Clustering,
Xiaochun Cao，Changqing Zhang*, Huazhu Fu, Si Liu and Hua Zhang,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)(CCF推荐A类会议), 2015: 586-94. [LINK] [CODE][DATA]