Changqing Zhang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2014–2026

Best venue rank

Where they publish

Papers

57 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains.	Leyan Xue, Changqing Zhang, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Zongbo Han
2026	ACL	Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation.	Huizi Cui, Huan Ma, Qilin Wang, Yuhang Gao, Changqing Zhang
2025	AAAI	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
2025	AAAI	Exploring Task-Level Optimal Prompts for Visual In-Context Learning.	Yan Zhu, Huan Ma, Changqing Zhang
2025	CVPR	Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior.	Haitao Wu, Qing Li, Changqing Zhang, Zhen He, Xiaomin Ying
2025	ICLR	COME: Test-time Adaption by Conservatively Minimizing Entropy.	Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
2025	IJCNN	Multimodal Data Augmentation for Dynamic Fusion.	Haining Li, Shan Huang, Changqing Zhang
2024	CVPR	ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.	Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang
2024	ICLR	Test-time Adaptation against Multi-modal Reliability Bias.	Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng
2024	ICML	Predictive Dynamic Fusion.	Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024	IJCNN	Uncertainty-aware Dynamic Re-weighting Robust Classification.	Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang
2024	IJCNN	Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking.	Wenshu Ge, Huan Ma, Changqing Zhang
2024	PRICAI	Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift.	Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	AAAI	Safe Multi-View Deep Classification.	Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
2023	CVPR	Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.	Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023	ICCV	Graph Matching with Bi-level Noisy Correspondence.	Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
2023	ICML	Calibrating Multimodal Learning.	Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	ICML	dugMatting: Decomposed-Uncertainty-Guided Matting.	Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
2023	ICML	Provable Dynamic Fusion for Low-Quality Multimodal Data.	Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
2022	CVPR	Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.	Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
2022	CVPR	Trustworthy Long-Tailed Classification.	Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
2021	AAAI	Uncertainty-Aware Multi-View Representation Learning.	Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2021	AAAI	Multi-View Information-Bottleneck Representation Learning.	Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2021	ICLR	Trusted Multi-View Classification.	Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2020	ECCV	SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.	Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020	ICANN	Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition.	Junbing Li, Changqing Zhang, Xueman Wang, Ling Du
2020	ICIP	Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification.	Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu
2020	MICCAI	M	Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
2019	CVPR	Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally.	Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li
2019	CVPR	AE2-Nets: Autoencoder in Autoencoder Networks.	Changqing Zhang, Yeqing Liu, Huazhu Fu
2019	ICCV	Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.	Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu
2019	IJCAI	Multi-view Spectral Clustering Network.	Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv
2019	IJCAI	Flexible Multi-View Representation Learning for Subspace Clustering.	Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang
2019	IJCAI	Attributed Subspace Clustering.	Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
2019	ISNN	Chinese Address Similarity Calculation Based on Auto Geological Level Tagging.	Jing Liu, Jianbin Wang, Changqing Zhang, Xiubo Yang, Jianbo Deng, Ruihe Zhu, Xiaojie Nan, Qinghua Chen
2018	AAAI	Consistent and Specific Multi-View Subspace Clustering.	Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao
2018	AAAI	Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.	Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen
2018	AAAI	Latent Semantic Aware Multi-View Multi-Label Classification.	Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang
2018	ICANN	Generalized Multi-view Unsupervised Feature Selection.	Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2018	IJCAI	FISH-MML: Fisher-HSIC Multi-View Metric Learning.	Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
2018	IJCAI	Towards Generalized and Efficient Metric Learning on Riemannian Manifold.	Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
2018	IJCAI	Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.	Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
2018	MICCAI	Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.	Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2018	PRICAI	Latent Subspace Representation for Multiclass Classification.	Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu
2017	CVPR	Exclusivity-Consistency Regularized Multi-view Subspace Clustering.	Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li
2017	CVPR	Latent Multi-view Subspace Clustering.	Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao
2017	ICANN	Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization.	Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2017	ICIP	Unsupervised feature selection by manifold regularized self-representation.	Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017	ICIP	Mixed sparsity regularized multi-view unsupervised feature selection.	Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017	ICONIP	Multi-view Label Space Dimension Reduction.	Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
2016	AAAI	Coupled Dictionary Learning for Unsupervised Feature Selection.	Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
2016	CVPR	SketchNet: Sketch Classification with Web Images.	Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao
2016	PRICAI	Multi-view Representative and Informative Induced Active Learning.	Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu
2016	PRICAI	Set to Set Visual Tracking.	Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2015	CVPR	Diversity-induced Multi-view Subspace Clustering.	Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang
2015	ICCV	Low-Rank Tensor Constrained Multiview Subspace Clustering.	Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao
2014	ICDM	Output Feature Augmented Lasso.	Changqing Zhang, Yahong Han, Xiaojie Guo, Xiaochun Cao