Zhang, Changqing

45 publications

CVPR 2025 Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior Haitao Wu, Qing Li, Changqing Zhang, Zhen He, Xiaomin Ying

ICLR 2025 COME: Test-Time Adaption by Conservatively Minimizing Entropy Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang

NeurIPS 2025 DOTA: Distributional Test-Time Adaptation of Vision-Language Models Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang

AAAI 2025 Exploring Task-Level Optimal Prompts for Visual In-Context Learning Yan Zhu, Huan Ma, Changqing Zhang

NeurIPS 2025 Right Question Is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization Qingyang Zhang, Haitao Wu, Changqing Zhang, Peilin Zhao, Yatao Bian

AAAI 2025 Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

CVPR 2024 ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang

NeurIPS 2024 Interactive Deep Clustering via Value Mining Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng

NeurIPS 2024 Out-of-Distribution Detection with Diversification (Provably) Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang

ICML 2024 Predictive Dynamic Fusion Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

ICLRW 2024 Skip $\textbackslash N$: A Simple Method to Reduce Hallucination in Large Vision-Language Models Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou

ICLR 2024 Test-Time Adaptation Against Multi-Modal Reliability Bias Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng

NeurIPS 2024 Test-Time Dynamic Image Fusion Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu

NeurIPS 2024 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

ICML 2023 Calibrating Multimodal Learning Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

CVPR 2023 Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu

NeurIPS 2023 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

ICCV 2023 Graph Matching with Bi-Level Noisy Correspondence Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng

ICML 2023 Provable Dynamic Fusion for Low-Quality Multimodal Data Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng

AAAI 2023 Safe Multi-View Deep Classification Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie

ICML 2023 dugMatting: Decomposed-Uncertainty-Guided Matting Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou

CVPR 2022 Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao

CVPR 2022 Trustworthy Long-Tailed Classification Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang

NeurIPS 2022 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

AAAI 2021 Multi-View Information-Bottleneck Representation Learning Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu

ICLR 2021 Trusted Multi-View Classification Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou

NeurIPS 2021 Trustworthy Multimodal Regression with Mixture of Normal-Inverse Gamma Distributions Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

AAAI 2021 Uncertainty-Aware Multi-View Representation Learning Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

ECCV 2020 SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu

IJCAI 2019 Attributed Subspace Clustering Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi

NeurIPS 2019 CPM-Nets: Cross Partial Multi-View Networks Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

IJCAI 2019 Flexible Multi-View Representation Learning for Subspace Clustering Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang

IJCAI 2019 Multi-View Spectral Clustering Network Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv

IJCAI 2018 Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang

AAAI 2018 Consistent and Specific Multi-View Subspace Clustering Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao

IJCAI 2018 FISH-MML: Fisher-HSIC Multi-View Metric Learning Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu

AAAI 2018 Latent Semantic Aware Multi-View Multi-Label Classification Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang

AAAI 2018 Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen

IJCAI 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang

CVPR 2017 Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li

CVPR 2017 Latent Multi-View Subspace Clustering Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao

AAAI 2016 Coupled Dictionary Learning for Unsupervised Feature Selection Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo

CVPR 2016 SketchNet: Sketch Classification with Web Images Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao

CVPR 2015 Diversity-Induced Multi-View Subspace Clustering Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang

ICCV 2015 Low-Rank Tensor Constrained Multiview Subspace Clustering Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao