Changqing Zhang

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 162

Top Venues

Publications

Changqing Zhang, Liang Sheng, Zhaohui Song, Tianxing Da, Haoqing Li, Baojun Duan, Yang Li, Dongwei Hei, Qunshu Wang
Experimental Demonstration of a Tunable Energy-Selective Gamma-Ray Imaging System Based on Recoil Electrons. Sensors 24 (12) (2024)
Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
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 (2024)
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 (2024)
Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng
Semantic Invariant Multi-View Clustering With Fully Incomplete Information. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Bing Cao, Haifang Cao, Jiaxu Liu, Pengfei Zhu, Changqing Zhang, Qinghua Hu
Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis. IEEE Trans. Multim. 26 (2024)
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 (2024)
Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR (2024)
Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
Predictive Dynamic Fusion. CoRR (2024)
Qing Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Huazhu Fu, Lei Chen
Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Zongbo Han, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675 (2024)
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
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR (2024)
Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng
Test-time Adaptation against Multi-modal Reliability Bias. ICLR (2024)
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 (2024)
Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR (2024)
Kai Wang, Changqing Zhang, Yu Geng, Huan Ma
Evidential Pseudo-Label Ensemble for semi-supervised classification. Pattern Recognit. Lett. 177 (2024)
Changqing Zhang, Lingfei Zhang, Bingbing Li, Jin Li
Similarity measure-based spectrum sensing algorithm under impulsive noise. Wirel. Networks 30 (6) (2024)
Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang
Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. 33 (2024)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. CoRR (2023)
Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng
Multiview Clustering by Consensus Spectral Rotation Fusion. IEEE Trans. Image Process. 32 (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. ICML (2023)
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
dugMatting: Decomposed-Uncertainty-Guided Matting. CoRR (2023)
Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang
Semantic Equivariant Mixup. CoRR (2023)
Yanbei Liu, Henan Li, Tao Luo, Changqing Zhang, Zhitao Xiao, Ying Wei, Yaozong Gao, Feng Shi, Fei Shan, Dinggang Shen
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity. IEEE Trans. Medical Imaging 42 (2) (2023)
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Calibrating Multimodal Learning. ICML (2023)
Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR (2023)
Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR (2023)
Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR (2023)
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR (2023)
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
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR (2023)
Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie
Safe Multi-View Deep Classification. AAAI (2023)
Qing Li, Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu
Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection. IEEE Trans. Multim. 25 (2023)
Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
Graph Matching with Bi-level Noisy Correspondence. ICCV (2023)
Xiaolin Feng, Haijie Mao, Zhou Xin, Changqing Zhang, Manqiang Liu
Study on Engineering Application of servo control System in Giant friction welding Machines, 122-132. Mechatron. Syst. Control. 51 (3) (2023)
Wenke Xia, Xu Zhao, Xincheng Pang, Changqing Zhang, Di Hu
Balanced Audiovisual Dataset for Imbalance Analysis. CoRR (2023)
Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng
Semantic Invariant Multi-view Clustering with Fully Incomplete Information. CoRR (2023)
Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou
dugMatting: Decomposed-Uncertainty-Guided Matting. ICML (2023)
Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS (2023)
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 (2023)
Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C (2023)
Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Calibrating Multimodal Learning. CoRR (2023)
Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR (2023)
Tao Lei, Rui Sun, Xiaogang Du, Huazhu Fu, Changqing Zhang, Asoke K. Nandi
SGU-Net: Shape-Guided Ultralight Network for Abdominal Image Segmentation. IEEE J. Biomed. Health Informatics 27 (3) (2023)
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) (2023)
Junbing Li, Changqing Zhang, Joey Tianyi Zhou, Huazhu Fu, Shuyin Xia, Qinghua Hu
Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation. IEEE Trans. Cybern. 52 (8) (2022)
Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, Lei Chen
Multi-modal sequence learning for Alzheimer's disease progression prediction with incomplete variable-length longitudinal data. Medical Image Anal. 82 (2022)
Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng
Graph Matching with Bi-level Noisy Correspondence. CoRR (2022)
Yongqiang Tang, Yuan Xie, Changqing Zhang, Zhizhong Zhang, Wensheng Zhang
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering. IEEE Trans. Cybern. 52 (9) (2022)
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 (2022)
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)
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) (2022)
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
Trustworthy Long-Tailed Classification. CVPR (2022)
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR (2022)
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR (2022)
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
Uncertainty-Aware Multi-View Representation Learning. CoRR (2022)
Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu
Uncertainty-Aware Multi-View Representation Learning. AAAI (2021)
Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu
Multi-View Information-Bottleneck Representation Learning. AAAI (2021)
Bolian Li, Zige Zheng, Changqing Zhang
Identifying Incorrect Classifications with Balanced Uncertainty. CoRR (2021)
Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR (2021)
Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu
RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion 65 (2021)
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
Trusted Multi-View Classification. ICLR (2021)
Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu
Cross-View Equivariant Auto-Encoder. ICME (2021)
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
Trusted Multi-View Classification. CoRR (2021)
Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang
Trustworthy Long-Tailed Classification. CoRR (2021)
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)
Yanbei Liu, Lianxi Fan, Changqing Zhang, Tao Zhou, Zhitao Xiao, Lei Geng, Dinggang Shen
Incomplete multi-modal representation learning for Alzheimer's disease diagnosis. Medical Image Anal. 69 (2021)
Zhenyu Huang, Joey Tianyi Zhou, Hongyuan Zhu, Changqing Zhang, Jiancheng Lv, Xi Peng
Deep Spectral Representation Learning From Multi-View Data. IEEE Trans. Image Process. 30 (2021)
Changqing Zhang, Huazhu Fu, Qinghua Hu, Xiaochun Cao, Yuan Xie, Dacheng Tao, Dong Xu
Generalized Latent Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data. Medical Image Anal. 60 (2020)
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
Deep Partial Multi-View Learning. CoRR (2020)
Tianyu Zhao, Changqing Zhang
SAAN: Semantic Attention Adaptation Network for Face Super-Resolution. ICME (2020)
Junbing Li, Changqing Zhang, Xueman Wang, Ling Du
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition. ICANN (1) (2020)
Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30 (1) (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning. IEEE Trans. Medical Imaging 39 (8) (2020)
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) (2020)
Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128 (8) (2020)
Changqing Zhang, Zhanwen Liu, Zhi-gang Xu
Fitting the power spectrum of stationary random sequence. Int. J. Inf. Technol. Manag. 19 (2/3) (2020)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR (2020)
Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang
Dual Shared-Specific Multiview Subspace Clustering. IEEE Trans. Cybern. 50 (8) (2020)
Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50 (6) (2020)
Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP (2020)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) (2020)
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR (2020)
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning. CoRR (2020)
Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50 (4) (2020)
Shuyin Xia, Wenhua Li, Guoyin Wang, Xinbo Gao, Changqing Zhang, Elisabeth Giem
LRA: an accelerated rough set framework based on local redundancy of attribute for feature selection. CoRR (2020)
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei
Ball k-means. CoRR (2020)
Jing Liu, Jianbin Wang, Changqing Zhang, Xiubo Yang, Jianbo Deng, Ruihe Zhu, Xiaojie Nan, Qinghua Chen
Chinese Address Similarity Calculation Based on Auto Geological Level Tagging. ISNN (2) (2019)
Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV (2019)
Chang Tang, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, Pichao Wang, Changqing Zhang, Lizhe Wang
Learning a Joint Affinity Graph for Multiview Subspace Clustering. IEEE Trans. Multim. 21 (7) (2019)
Jiaxu Han, Tianyu Zhao, Changqing Zhang
Deep Distillation Metric Learning. MMAsia (2019)
Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi
Attributed Subspace Clustering. IJCAI (2019)
Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. CoRR (2019)
Changqing Zhang, Yeqing Liu, Huazhu Fu
AE2-Nets: Autoencoder in Autoencoder Networks. CVPR (2019)
Kun Zhan, Chaoxi Niu, Changlu Chen, Feiping Nie, Changqing Zhang, Yi Yang
Graph Structure Fusion for Multiview Clustering. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. IEEE Trans. Medical Imaging 38 (4) (2019)
Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv
Multi-view Spectral Clustering Network. IJCAI (2019)
Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. ICME Workshops (2019)
Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS (2019)

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Publication Activity (10 Years)

Top Topics

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Changqing Zhang