Changqing Zhang

196 papers A* 50A 6B 8Journal 116Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Reliability in Medical Image Classification of Imperfect Views.
IEEE Trans. Circuits Syst. Video Technol.
Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
2026 A* conf
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains.
AAAI
Leyan Xue, Changqing Zhang, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Zongbo Han
2026 J jnl
Uncertainty-Aware Multi-View Graph Clustering.
IEEE Trans. Multim.
Bo Peng, Shaobo Bai, Jianjun Lei, Yuxuan Yao, Changqing Zhang, Nam Ling
2025 J jnl
A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR
Meng Wang, Tian Lin, Qingshan Hou, Aidi Lin, Jingcheng Wang, Qingsheng Peng, Truong X. Nguyen, Danqi Fang, Ke Zou, Ting Xu, Cancan Xue, Ten Cheer Quek, Qinkai Yu, Minxin Liu, Hui Zhou, Zixuan Xiao, Guiqin He, Huiyu Liang, Tingkun Shi, Man Chen, Linna Liu, Yuanyuan Peng, Lianyu Wang, Qiuming Hu, Junhong Chen, Zhenhua Zhang, Cheng Chen, Yitian Zhao, Dianbo Liu, Jianhua Wu, Xinjian Chen, Changqing Zhang, Triet Thanh Nguyen, Yanda Meng, Yalin Zheng, Yih Chung Tham, Carol Y. Cheung, Huazhu Fu, Haoyu Chen, Ching-Yu Cheng
2025 A* conf
A Theoretical Proof of Dynamic Multimodal Fusion Exacerbates Modality Greedy.
ACM Multimedia
Xiaorui Ding, Huan Ma, Changqing Zhang
2025 A* conf
Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior.
CVPR
Haitao Wu, Qing Li, Changqing Zhang, Zhen He, Xiaomin Ying
2025 J jnl
Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior.
CoRR
Haitao Wu, Qing Li, Changqing Zhang, Zhen He, Xiaomin Ying
2025 — conf
CARE: A Calibration-Aware Cross-Institutional Collaboration Framework for Medical Image Classification.
PRCV (13)
Yafei Yang, Qing Li, Changqing Zhang
2025 A* conf
COME: Test-time Adaption by Conservatively Minimizing Entropy.
ICLR
Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
2025 J jnl
Dig2DIG: Dig into Diffusion Information Gains for Image Fusion.
CoRR
Bing Cao, Baoshuo Cai, Changqing Zhang, Qinghua Hu
2025 J jnl
Estimating LLM Uncertainty with Logits.
CoRR
Huan Ma, Jingdong Chen, Guangyu Wang, Changqing Zhang
2025 A* conf
Exploring Task-Level Optimal Prompts for Visual In-Context Learning.
AAAI
Yan Zhu, Huan Ma, Changqing Zhang
2025 J jnl
Exploring Task-Level Optimal Prompts for Visual In-Context Learning.
CoRR
Yan Zhu, Huan Ma, Changqing Zhang
2025 J jnl
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization.
CoRR
Xiaoyu Tao, Shilong Zhang, Mingyue Cheng, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang
2025 J jnl
Generalized Few-Shot Out-of-Distribution Detection.
CoRR
Pinxuan Li, Bing Cao, Changqing Zhang, Qinghua Hu
2025 A* conf
Gradient-Aware Revitalization of Non-Effective Samples in Medical Image Segmentation.
ACM Multimedia
Shiying Lin, Rong Hu, Zuoyong Li, Qinghua Lin, Jiawei Wu, Changqing Zhang
2025 J jnl
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach.
CoRR
Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang
2025 J jnl
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains.
CoRR
Leyan Xue, Zongbo Han, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Changqing Zhang
2025 B conf
Multimodal Data Augmentation for Dynamic Fusion.
IJCNN
Haining Li, Shan Huang, Changqing Zhang
2025 J jnl
Retrieval-Augmented Prompt for OOD Detection.
CoRR
Ruisong Han, Zongbo Han, Jiahao Zhang, Mingyue Cheng, Changqing Zhang
2025 J jnl
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization.
CoRR
Qingyang Zhang, Haitao Wu, Changqing Zhang, Peilin Zhao, Yatao Bian
2025 J jnl
Semantic Energy: Detecting LLM Hallucination Beyond Entropy.
CoRR
Huan Ma, Jiadong Pan, Jing Liu, Yan Chen, Joey Tianyi Zhou, Guangyu Wang, Qinghua Hu, Hua Wu, Changqing Zhang, Haifeng Wang
2025 J jnl
Smooth Multiple Kernel k-Means via Underlying Graph Filtering.
IEEE Trans. Neural Networks Learn. Syst.
Wenqi Yang, Chang Tang, Xinwang Liu, Guanghui Yue, Yuanyuan Liu, Changqing Zhang, En Zhu
2025 A* conf
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model.
AAAI
Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2025 J jnl
Trustworthy deep learning for encrypted traffic classification.
Soft Comput.
Zheng Li, Yanbei Liu, Changqing Zhang, Wanjin Shan, Haifeng Zhang, Xiaoming Zhu
2025 J jnl
Turing Machine Evaluation for Large Language Model.
CoRR
Haitao Wu, Zongbo Han, Huaxi Huang, Changqing Zhang
2024 J jnl
A principled framework for explainable multimodal disentanglement.
Inf. Sci.
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
2024 J jnl
Autoencoder in Autoencoder Networks.
IEEE Trans. Neural Networks Learn. Syst.
Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
2024 J jnl
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis.
IEEE Trans. Multim.
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
2024 J jnl
COME: Test-time adaption by Conservatively Minimizing Entropy.
CoRR
Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang
2024 B conf
Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking.
IJCNN
Wenshu Ge, Huan Ma, Changqing Zhang
2024 J jnl
Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift.
IEEE Trans. Circuits Syst. Video Technol.
Qingsen Bao, Lei Chen, Feng Zhang, Jun Wang, Changqing Zhang
2024 J jnl
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR
Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A. Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu
2024 J jnl
Confidence-aware multi-modality learning for eye disease screening.
CoRR
Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
2024 J jnl
Confidence-aware multi-modality learning for eye disease screening.
Medical Image Anal.
Ke Zou, Tian Lin, Zongbo Han, Meng Wang, Xuedong Yuan, Haoyu Chen, Changqing Zhang, Xiaojing Shen, Huazhu Fu
2024 J jnl
DOTA: Distributional Test-Time Adaptation of Vision-Language Models.
CoRR
Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang
2024 J jnl
Evidential Pseudo-Label Ensemble for semi-supervised classification.
Pattern Recognit. Lett.
Kai Wang, Changqing Zhang, Yu Geng, Huan Ma
2024 A* conf
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
CVPR
Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang
2024 A* conf
Interactive Deep Clustering via Value Mining.
NeurIPS
Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng
2024 J jnl
Invariant Test-Time Adaptation for Vision-Language Model Generalization.
CoRR
Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024 J jnl
Multimodal Fusion on Low-quality Data: A Comprehensive Survey.
CoRR
Qingyang Zhang, Yake Wei, Zongbo Han, Huazhu Fu, Xi Peng, Cheng Deng, Qinghua Hu, Cai Xu, Jie Wen, Di Hu, Changqing Zhang
2024 A* conf
Out-Of-Distribution Detection with Diversification (Provably).
NeurIPS
Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024 J jnl
Out-Of-Distribution Detection with Diversification (Provably).
CoRR
Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
2024 J jnl
Pick-and-Place Transform Learning for Fast Multi-View Clustering.
IEEE Trans. Image Process.
Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang
2024 A* conf
Predictive Dynamic Fusion.
ICML
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024 J jnl
Predictive Dynamic Fusion.
CoRR
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024 — conf
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift.
PRICAI (2)
Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2024 J jnl
Selective Learning: Towards Robust Calibration with Dynamic Regularization.
CoRR
Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao
2024 J jnl
Semantic Invariant Multi-View Clustering With Fully Incomplete Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng
2024 J jnl
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models.
CoRR
Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou
2024 J jnl
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion.
IEEE Trans. Circuits Syst. Video Technol.
Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen
2024 A* conf
Test-Time Dynamic Image Fusion.
NeurIPS
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024 J jnl
Test-Time Dynamic Image Fusion.
CoRR
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
2024 A* conf
Test-time Adaptation against Multi-modal Reliability Bias.
ICLR
Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng
2024 A* conf
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection.
NeurIPS
Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang
2024 J jnl
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection.
CoRR
Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang
2024 B conf
Uncertainty-aware Dynamic Re-weighting Robust Classification.
IJCNN
Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang
2023 J jnl
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning.
CoRR
Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
2023 — conf
Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
ACM TUR-C
Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
2023 J jnl
Balanced Audiovisual Dataset for Imbalance Analysis.
CoRR
Wenke Xia, Xu Zhao, Xincheng Pang, Changqing Zhang, Di Hu
2023 A* conf
Calibrating Multimodal Learning.
ICML
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023 J jnl
Calibrating Multimodal Learning.
CoRR
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023 J jnl
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection.
IEEE Trans. Multim.
Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu
2023 A* conf
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.
CVPR
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023 J jnl
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.
CoRR
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
2023 A* conf
Fairness-guided Few-shot Prompting for Large Language Models.
NeurIPS
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023 J jnl
Fairness-guided Few-shot Prompting for Large Language Models.
CoRR
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023 A* conf
Graph Matching with Bi-level Noisy Correspondence.
ICCV
Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
2023 J jnl
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
CoRR
Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu
2023 J jnl
Multiview Clustering by Consensus Spectral Rotation Fusion.
IEEE Trans. Image Process.
Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng
2023 A* conf
Provable Dynamic Fusion for Low-Quality Multimodal Data.
ICML
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
2023 J jnl
Provable Dynamic Fusion for Low-Quality Multimodal Data.
CoRR
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
2023 J jnl
Reweighted Mixup for Subpopulation Shift.
CoRR
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Qinghua Hu, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2023 J jnl
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation.
IEEE J. Biomed. Health Informatics
Tao Lei, Rui Sun, Xiaogang Du, Huazhu Fu, Changqing Zhang, Asoke K. Nandi
2023 A* conf
Safe Multi-View Deep Classification.
AAAI
Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
2023 J jnl
Semantic Equivariant Mixup.
CoRR
Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
2023 J jnl
Semantic Invariant Multi-view Clustering with Fully Incomplete Information.
CoRR
Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng
2023 J jnl
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging
Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
2023 J jnl
Trusted Multi-View Classification With Dynamic Evidential Fusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2023 J jnl
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR
Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu
2023 A* conf
dugMatting: Decomposed-Uncertainty-Guided Matting.
ICML
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
2023 J jnl
dugMatting: Decomposed-Uncertainty-Guided Matting.
CoRR
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
2022 J jnl
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen
2022 J jnl
Deep Partial Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2022 J jnl
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation.
IEEE Trans. Cybern.
Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu
2022 J jnl
Graph Matching with Bi-level Noisy Correspondence.
CoRR
Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
2022 J jnl
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data.
Medical Image Anal.
Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, Lei Chen
2022 A* conf
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification.
CVPR
Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
2022 J jnl
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering.
IEEE Trans. Cybern.
Yongqiang Tang, Yuan Xie, Changqing Zhang, Zhizhong Zhang, Wensheng Zhang
2022 J jnl
Trusted Multi-View Classification with Dynamic Evidential Fusion.
CoRR
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2022 A* conf
Trustworthy Long-Tailed Classification.
CVPR
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
2022 A* conf
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
NeurIPS
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022 J jnl
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup.
CoRR
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao
2022 J jnl
Uncertainty-Aware Multi-View Representation Learning.
CoRR
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2021 A conf
Cross-View Equivariant Auto-Encoder.
ICME
Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu
2021 J jnl
Deep Spectral Representation Learning From Multi-View Data.
IEEE Trans. Image Process.
Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng
2021 J jnl
Identifying Incorrect Classifications with Balanced Uncertainty.
CoRR
Bolian Li, Zige Zheng, Changqing Zhang
2021 J jnl
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis.
Medical Image Anal.
Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen
2021 A* conf
Multi-View Information-Bottleneck Representation Learning.
AAAI
Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2021 J jnl
RED-Nets: Redistribution Networks for Multi-View Classification.
Inf. Fusion
Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu
2021 A* conf
Trusted Multi-View Classification.
ICLR
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2021 J jnl
Trusted Multi-View Classification.
CoRR
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
2021 J jnl
Trustworthy Long-Tailed Classification.
CoRR
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
2021 A* conf
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
NeurIPS
Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021 J jnl
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
CoRR
Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021 A* conf
Uncertainty-Aware Multi-View Representation Learning.
AAAI
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
2020 J jnl
Ball k-means.
CoRR
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei
2020 J jnl
Deep Partial Multi-View Learning.
CoRR
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
2020 J jnl
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE Trans. Medical Imaging
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020 J jnl
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning.
CoRR
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
2020 J jnl
Dual Shared-Specific Multiview Subspace Clustering.
IEEE Trans. Cybern.
Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang
2020 J jnl
Generalized Latent Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu
2020 J jnl
Hybrid Noise-Oriented Multilabel Learning.
IEEE Trans. Cybern.
Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu
2020 J jnl
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection.
CoRR
Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem
2020 — conf
M
MICCAI (2)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
2020 J jnl
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.
CoRR
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
2020 — conf
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition.
ICANN (1)
Junbing Li, Changqing Zhang, Xueman Wang, Ling Du
2020 J jnl
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal.
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2020 J jnl
Multiview Latent Space Learning With Feature Redundancy Minimization.
IEEE Trans. Cybern.
Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang
2020 B conf
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification.
ICIP
Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu
2020 A conf
SAAN: Semantic Attention Adaptation Network for Face Super-Resolution.
ICME
Tianyu Zhao, Changqing Zhang
2020 J jnl
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning.
CoRR
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020 — conf
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.
ECCV (9)
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
2020 J jnl
Tensorized Multi-view Subspace Representation Learning.
Int. J. Comput. Vis.
Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu
2020 J jnl
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint.
IEEE Trans. Circuits Syst. Video Technol.
Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li
2019 A* conf
AE2-Nets: Autoencoder in Autoencoder Networks.
CVPR
Changqing Zhang, Yeqing Liu, Huazhu Fu
2019 J jnl
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation.
IEEE Trans. Multim.
Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang
2019 A* conf
Attributed Subspace Clustering.
IJCAI
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
2019 A* conf
CPM-Nets: Cross Partial Multi-View Networks.
NeurIPS
Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2019 — conf
Deep Distillation Metric Learning.
MMAsia
Jiaxu Han, Tianyu Zhao, Changqing Zhang
2019 J jnl
Efficient registration of multi-view point sets by K-means clustering.
Inf. Sci.
Jihua Zhu, Zutao Jiang, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Zhongyu Li
2019 A* conf
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally.
CVPR
Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li
2019 A* conf
Flexible Multi-View Representation Learning for Subspace Clustering.
IJCAI
Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang
2019 J jnl
Graph Structure Fusion for Multiview Clustering.
IEEE Trans. Knowl. Data Eng.
Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang
2019 J jnl
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging
Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
2019 J jnl
Learning a Joint Affinity Graph for Multiview Subspace Clustering.
IEEE Trans. Multim.
Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang
2019 J jnl
Multi-view Deep Subspace Clustering Networks.
CoRR
Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu
2019 A* conf
Multi-view Spectral Clustering Network.
IJCAI
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv
2019 J jnl
Multi-view subspace clustering with intactness-aware similarity.
Pattern Recognit.
Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li
2019 A* conf
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.
ICCV
Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu
2018 A* conf
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.
IJCAI
Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
2018 J jnl
Co-regularized unsupervised feature selection.
Neurocomputing
Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang
2018 A* conf
Consistent and Specific Multi-View Subspace Clustering.
AAAI
Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao
2018 J jnl
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image.
IEEE Trans. Medical Imaging
Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018 J jnl
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image.
CoRR
Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao
2018 A conf
Ensemble of Label Specific Features for Multi-Label Classification.
ICME
Xiaoya Wei, Ziwei Yu, Changqing Zhang, Qinghua Hu
2018 J jnl
Entropy-based active sparse subspace clustering.
Multim. Tools Appl.
Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, Zhitao Xiao
2018 A* conf
FISH-MML: Fisher-HSIC Multi-View Metric Learning.
IJCAI
Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
2018 — conf
Generalized Multi-view Unsupervised Feature Selection.
ICANN (2)
Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2018 J jnl
Graph Learning for Multiview Clustering.
IEEE Trans. Cybern.
Kun Zhan, Changqing Zhang, Junpeng Guan, Junsheng Wang
2018 — conf
Infant brain development prediction with latent partial multi-view representation learning.
ISBI
Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
2018 A* conf
Latent Semantic Aware Multi-View Multi-Label Classification.
AAAI
Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang
2018 — conf
Latent Subspace Representation for Multiclass Classification.
PRICAI (1)
Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu
2018 A* conf
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.
AAAI
Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen
2018 J jnl
Multi-label feature selection with missing labels.
Pattern Recognit.
Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao
2018 — conf
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
PRIME@MICCAI
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
2018 J jnl
Multi-view label embedding.
Pattern Recognit.
Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng
2018 J jnl
Nighttime low illumination image enhancement with single image using bright/dark channel prior.
EURASIP J. Image Video Process.
Zhenghao Shi, Meimei Zhu, Bin Guo, Minghua Zhao, Changqing Zhang
2018 J jnl
Shape-Preserving Object Depth Control for Stereoscopic Images.
IEEE Trans. Circuits Syst. Video Technol.
Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan, Xuelong Li
2018 A conf
Support Vector Metric Learning on Symmetric Positive Definite Manifold.
ICME
Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu
2018 A* conf
Towards Generalized and Efficient Metric Learning on Riemannian Manifold.
IJCAI
Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
2018 J jnl
Unsupervised Degradation Learning for Single Image Super-Resolution.
CoRR
Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu
2018 J jnl
Weighted median guided filtering method for single image rain removal.
EURASIP J. Image Video Process.
Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng, Bo Jiang
2017 J jnl
Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion.
IEEE Trans. Multim.
Jianjun Lei, Min Wu, Changqing Zhang, Feng Wu, Nam Ling, Chunping Hou
2017 A* conf
Exclusivity-Consistency Regularized Multi-view Subspace Clustering.
CVPR
Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li
2017 J jnl
Flexible Multi-View Dimensionality Co-Reduction.
IEEE Trans. Image Process.
Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao
2017 A conf
Independence regularized multi-label ensemble.
ICME
Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu
2017 A* conf
LEAF: Latent Extended Attribute Features Discovery for Visual Classification.
ACM Multimedia
Hua Zhang, Rui Wang, Changqing Zhang, Xiaochun Cao
2017 A* conf
Latent Multi-view Subspace Clustering.
CVPR
Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao
2017 B conf
Mixed sparsity regularized multi-view unsupervised feature selection.
ICIP
Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017 — conf
Multi-view Label Space Dimension Reduction.
ICONIP (1)
Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
2017 J jnl
Research on axial bearing capacity of rectangular concrete-filled steel tubular columns based on artificial neural networks.
Frontiers Comput. Sci.
Yansheng Du, Zhihua Chen, Changqing Zhang, Xiaochun Cao
2017 J jnl
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion.
CoRR
Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou
2017 J jnl
Salient Object Detection via Weighted Low Rank Matrix Recovery.
IEEE Signal Process. Lett.
Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li
2017 — conf
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization.
ICANN (2)
Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu
2017 J jnl
Subspace clustering guided unsupervised feature selection.
Pattern Recognit.
Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
2017 B conf
Unsupervised feature selection by manifold regularized self-representation.
ICIP
Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2017 J jnl
Unsupervised feature selection via Diversity-induced Self-representation.
Neurocomputing
Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang
2016 J jnl
Combining neighborhood separable subspaces for classification via sparsity regularized optimization.
Inf. Sci.
Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du
2016 A* conf
Coupled Dictionary Learning for Unsupervised Feature Selection.
AAAI
Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo
2016 B conf
Multi-view Representative and Informative Induced Active Learning.
PRICAI
Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu
2016 — conf
Robust Multi-label Feature Selection with Missing Labels.
CCPR (1)
Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016 J jnl
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion.
IEEE Signal Process. Lett.
Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou
2016 J jnl
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian
2016 B conf
Set to Set Visual Tracking.
PRICAI
Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2016 A* conf
SketchNet: Sketch Classification with Web Images.
CVPR
Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao
2016 — conf
Unsupervised Subspace Learning via Analysis Dictionary Learning.
CCBR
Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang
2015 J jnl
A flexible framework of adaptive method selection for image saliency detection.
Pattern Recognit. Lett.
Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao
2015 J jnl
Constrained Multi-View Video Face Clustering.
IEEE Trans. Image Process.
Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh
2015 A* conf
Diversity-induced Multi-view Subspace Clustering.
CVPR
Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang
2015 A* conf
Low-Rank Tensor Constrained Multiview Subspace Clustering.
ICCV
Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao
2015 A* conf
Multi-cue Augmented Face Clustering.
ACM Multimedia
Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, Xiaochun Cao
2015 J jnl
Structured Saliency Fusion Based on Dempster-Shafer Theory.
IEEE Signal Process. Lett.
Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao
2014 — conf
Human Skin Detection via Semantic Constraint.
ICIMCS
Binbin Ma, Changqing Zhang, Jingjing Chen, Ri Qu, Jiangjian Xiao, Xiaochun Cao
2014 A* conf
Output Feature Augmented Lasso.
ICDM
Changqing Zhang, Yahong Han, Xiaojie Guo, Xiaochun Cao
2014 A conf
Video Face Clustering via Constrained Sparse Representation.
ICME
Chengju Zhou, Changqing Zhang, Xuewei Li, Gaotao Shi, Xiaochun Cao