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2020 – today
- 2024
[j67]Zongbo Han
, Tao Luo, Huazhu Fu, Qinghua Hu, Joey Tianyi Zhou, Changqing Zhang:
A principled framework for explainable multimodal disentanglement. Inf. Sci. 675: 120768 (2024)- [j66]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: 103214 (2024) - [j65]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): 2139-2150 (2024) - [j64]Kai Wang, Changqing Zhang, Yu Geng, Huan Ma:
Evidential Pseudo-Label Ensemble for semi-supervised classification. Pattern Recognit. Lett. 177: 135-141 (2024) - [j63]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): 3736 (2024) - [j62]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): 3017-3029 (2024) - [j61]Qingsen Bao, Lei Chen, Feng Zhang, Jun Wang, Changqing Zhang:
Causal Evidence Learning for Trusted Open Set Recognition Under Covariate Shift. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13085-13098 (2024) - [j60]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: 1272-1284 (2024) - [j59]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: 995-1010 (2024) - [j58]Changqing Zhang, Yu Geng, Zongbo Han, Yeqing Liu, Huazhu Fu, Qinghua Hu:
Autoencoder in Autoencoder Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2263-2275 (2024) - [j57]Changqing Zhang, Lingfei Zhang, Bingbing Li, Jin Li:
Similarity measure-based spectrum sensing algorithm under impulsive noise. Wirel. Networks 30(6): 5967-5975 (2024) - [c73]Yichen Bai, Zongbo Han, Bing Cao, Xiaoheng Jiang, Qinghua Hu, Changqing Zhang:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CVPR 2024: 17480-17489 - [c72]Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng:
Test-time Adaptation against Multi-modal Reliability Bias. ICLR 2024 - [c71]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. ICML 2024 - [c70]Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang:
Uncertainty-aware Dynamic Re-weighting Robust Classification. IJCNN 2024: 1-8 - [c69]Wenshu Ge, Huan Ma, Changqing Zhang:
Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking. IJCNN 2024: 1-8 - [c68]Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) 2024: 16-28 - [i43]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 abs/2402.01345 (2024) - [i42]Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun Zhang, Joey Tianyi Zhou, Qinghua Hu, Huaxiu Yao:
Selective Learning: Towards Robust Calibration with Dynamic Regularization. CoRR abs/2402.08384 (2024) - [i41]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 abs/2403.00376 (2024) - [i40]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 abs/2404.18947 (2024) - [i39]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 abs/2405.18167 (2024) - [i38]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. CoRR abs/2406.04802 (2024) - [i37]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 abs/2406.09317 (2024) - [i36]Zongbo Han, Jialong Yang, Junfan Li, Qinghua Hu, Qianli Xu, Mike Zheng Shou, Changqing Zhang:
DOTA: Distributional Test-Time Adaptation of Vision-Language Models. CoRR abs/2409.19375 (2024) - [i35]Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang:
COME: Test-time adaption by Conservatively Minimizing Entropy. CoRR abs/2410.10894 (2024) - [i34]Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang:
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection. CoRR abs/2410.11576 (2024) - [i33]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Test-Time Dynamic Image Fusion. CoRR abs/2411.02840 (2024) - [i32]Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang:
Out-Of-Distribution Detection with Diversification (Provably). CoRR abs/2411.14049 (2024) - 2023
- [j56]Xiaolin Feng, Haijie Mao, Zhou Xin, Changqing Zhang, Manqiang Liu:
Study on Engineering Application of servo control System in Giant friction welding Machines. Mechatron. Syst. Control. 51(3): 122-132 (2023) - [j55]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): 2551-2566 (2023) - [j54]Jie Chen, Hua Mao, Dezhong Peng, Changqing Zhang, Xi Peng:
Multiview Clustering by Consensus Spectral Rotation Fusion. IEEE Trans. Image Process. 32: 5153-5166 (2023) - [j53]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): 1431-1442 (2023) - [j52]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): 557-567 (2023) - [j51]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: 3420-3431 (2023) - [c67]Wei Liu, Yufei Chen, Xiaodong Yue, Changqing Zhang, Shaorong Xie:
Safe Multi-View Deep Classification. AAAI 2023: 8870-8878 - [c66]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: 143-144 - [c65]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CVPR 2023: 19873-19882 - [c64]Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng:
Graph Matching with Bi-level Noisy Correspondence. ICCV 2023: 23305-23314 - [c63]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. ICML 2023: 23429-23450 - [c62]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. ICML 2023: 37846-37859 - [c61]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: 41753-41769 - [c60]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 - [i31]Wenke Xia, Xu Zhao, Xincheng Pang, Changqing Zhang, Di Hu:
Balanced Audiovisual Dataset for Imbalance Analysis. CoRR abs/2302.10912 (2023) - [i30]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 abs/2303.13217 (2023) - [i29]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 abs/2304.03981 (2023) - [i28]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 abs/2304.04148 (2023) - [i27]Mengyao Xie, Zongbo Han, Changqing Zhang, Yichen Bai, Qinghua Hu:
Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification. CoRR abs/2304.05165 (2023) - [i26]Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng:
Semantic Invariant Multi-view Clustering with Fully Incomplete Information. CoRR abs/2305.12743 (2023) - [i25]Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. CoRR abs/2306.01265 (2023) - [i24]Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou:
dugMatting: Decomposed-Uncertainty-Guided Matting. CoRR abs/2306.01452 (2023) - [i23]Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng:
Provable Dynamic Fusion for Low-Quality Multimodal Data. CoRR abs/2306.02050 (2023) - [i22]Zongbo Han, Tianchi Xie, Bingzhe Wu, Qinghua Hu, Changqing Zhang:
Semantic Equivariant Mixup. CoRR abs/2308.06451 (2023) - [i21]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 abs/2310.03400 (2023) - [i20]Yichen Bai, Zongbo Han, Changqing Zhang, Bing Cao, Xiaoheng Jiang, Qinghua Hu:
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection. CoRR abs/2311.15243 (2023) - 2022
- [j50]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: 102643 (2022) - [j49]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): 87-99 (2022) - [j48]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): 2402-2415 (2022) - [j47]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): 7732-7741 (2022) - [j46]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): 9179-9193 (2022) - [c59]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CVPR 2022: 6960-6969 - [c58]Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao:
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. CVPR 2022: 20675-20685 - [c57]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 - [i19]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. CoRR abs/2201.05776 (2022) - [i18]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification with Dynamic Evidential Fusion. CoRR abs/2204.11423 (2022) - [i17]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 abs/2209.08928 (2022) - [i16]Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng:
Graph Matching with Bi-level Noisy Correspondence. CoRR abs/2212.04085 (2022) - 2021
- [j45]Haijuan Fu, Yu Geng, Changqing Zhang, Zechao Li, Qinghua Hu:
RED-Nets: Redistribution Networks for Multi-View Classification. Inf. Fusion 65: 119-127 (2021) - [j44]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: 101953 (2021) - [j43]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: 5352-5362 (2021) - [c56]Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. AAAI 2021: 7545-7553 - [c55]Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. AAAI 2021: 10085-10092 - [c54]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. ICLR 2021 - [c53]Zhibin Wan, Changqing Zhang, Yu Geng, Huazhu Fu, Xi Peng, Pengfei Zhu, Qinghua Hu:
Cross-View Equivariant Auto-Encoder. ICME 2021: 1-6 - [c52]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: 6881-6893 - [i15]Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou:
Trusted Multi-View Classification. CoRR abs/2102.02051 (2021) - [i14]Bolian Li, Zige Zheng, Changqing Zhang:
Identifying Incorrect Classifications with Balanced Uncertainty. CoRR abs/2110.08030 (2021) - [i13]Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR abs/2111.08456 (2021) - [i12]Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang:
Trustworthy Long-Tailed Classification. CoRR abs/2111.09030 (2021) - 2020
- [j42]Changqing Zhang, Huazhu Fu, Jing Wang, Wen Li, Xiaochun Cao, Qinghua Hu:
Tensorized Multi-view Subspace Representation Learning. Int. J. Comput. Vis. 128(8): 2344-2361 (2020) - [j41]Changqing Zhang, Zhanwen Liu, Zhi-gang Xu:
Fitting the power spectrum of stationary random sequence. Int. J. Inf. Technol. Manag. 19(2/3): 118-125 (2020) - [j40]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) - [j39]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): 86-99 (2020) - [j38]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): 131-144 (2020) - [j37]Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang:
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50(4): 1655-1668 (2020) - [j36]Changqing Zhang, Ziwei Yu, Huazhu Fu, Pengfei Zhu, Lei Chen, Qinghua Hu:
Hybrid Noise-Oriented Multilabel Learning. IEEE Trans. Cybern. 50(6): 2837-2850 (2020) - [j35]Tao Zhou, Changqing Zhang, Xi Peng, Harish Bhaskar, Jie Yang:
Dual Shared-Specific Multiview Subspace Clustering. IEEE Trans. Cybern. 50(8): 3517-3530 (2020) - [j34]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): 2606-2614 (2020) - [c51]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. ECCV (9) 2020: 783-799 - [c50]Junbing Li, Changqing Zhang, Xueman Wang, Ling Du:
Multi-Scale Cross-Modal Spatial Attention Fusion for Multi-label Image Recognition. ICANN (1) 2020: 736-747 - [c49]Pengfei Zhu, Mingqi Gu, Wenbin Li, Changqing Zhang, Qinghua Hu:
Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification. ICIP 2020: 196-200 - [c48]Tianyu Zhao, Changqing Zhang:
SAAN: Semantic Attention Adaptation Network for Face Super-Resolution. ICME 2020: 1-6 - [c47]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [i11]Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei:
Ball k-means. CoRR abs/2005.00784 (2020) - [i10]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 abs/2005.03227 (2020) - [i9]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 abs/2006.10135 (2020) - [i8]Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu:
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning. CoRR abs/2008.06883 (2020) - [i7]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 abs/2011.00215 (2020) - [i6]Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu:
Deep Partial Multi-View Learning. CoRR abs/2011.06170 (2020)
2010 – 2019
- 2019
- [j33]Jihua Zhu, Zutao Jiang, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Zhongyu Li:
Efficient registration of multi-view point sets by K-means clustering. Inf. Sci. 488: 205-218 (2019) - [j32]Xiaobo Wang, Zhen Lei, Xiaojie Guo, Changqing Zhang, Hailin Shi, Stan Z. Li:
Multi-view subspace clustering with intactness-aware similarity. Pattern Recognit. 88: 50-63 (2019) - [j31]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): 1984-1993 (2019) - [j30]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): 909-918 (2019) - [j29]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): 1724-1736 (2019) - [j28]Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang:
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation. IEEE Trans. Multim. 21(11): 2837-2849 (2019) - [c46]Changqing Zhang, Yeqing Liu, Huazhu Fu:
AE2-Nets: Autoencoder in Autoencoder Networks. CVPR 2019: 2577-2585 - [c45]Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li:
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. CVPR 2019: 9841-9850 - [c44]Gang Min, Xiongwei Zhang, Xiangyang Liu, Changqing Zhang, Yanpu Chen:
A Speech Reconstruction Algorithm via Iteratively Reweighted ℓ2 Minimization for MFCC Codec. EUSIPCO 2019: 1-5 - [c43]Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Joey Tianyi Zhou, Qinghua Hu:
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering. ICCV 2019: 8171-8179 - [c42]Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan:
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. ICME Workshops 2019: 372-377 - [c41]Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu, Jiancheng Lv:
Multi-view Spectral Clustering Network. IJCAI 2019: 2563-2569 - [c40]Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang:
Flexible Multi-View Representation Learning for Subspace Clustering. IJCAI 2019: 2916-2922 - [c39]Jing Wang, Linchuan Xu, Feng Tian, Atsushi Suzuki, Changqing Zhang, Kenji Yamanishi:
Attributed Subspace Clustering. IJCAI 2019: 3719-3725 - [c38]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: 431-438 - [c37]Jiaxu Han, Tianyu Zhao, Changqing Zhang:
Deep Distillation Metric Learning. MMAsia 2019: 11:1-11:7 - [c36]Changqing Zhang, Zongbo Han, Yajie Cui, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
CPM-Nets: Cross Partial Multi-View Networks. NeurIPS 2019: 557-567 - [i5]Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan:
Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder. CoRR abs/1905.04709 (2019) - [i4]Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu:
Multi-view Deep Subspace Clustering Networks. CoRR abs/1908.01978 (2019) - 2018
- [j27]Zhenghao Shi, Meimei Zhu, Bin Guo, Minghua Zhao, Changqing Zhang:
Nighttime low illumination image enhancement with single image using bright/dark channel prior. EURASIP J. Image Video Process. 2018: 13 (2018) - [j26]Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng, Bo Jiang:
Weighted median guided filtering method for single image rain removal. EURASIP J. Image Video Process. 2018: 35 (2018) - [j25]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang:
Co-regularized unsupervised feature selection. Neurocomputing 275: 2855-2863 (2018) - [j24]Yanbei Liu, Kaihua Liu, Changqing Zhang, Xiao Wang, Shaona Wang, Zhitao Xiao:
Entropy-based active sparse subspace clustering. Multim. Tools Appl. 77(17): 22281-22297 (2018) - [j23]Pengfei Zhu, Qian Xu, Qinghua Hu, Changqing Zhang, Hong Zhao:
Multi-label feature selection with missing labels. Pattern Recognit. 74: 488-502 (2018) - [j22]Pengfei Zhu, Qi Hu, Qinghua Hu, Changqing Zhang, Zhizhao Feng:
Multi-view label embedding. Pattern Recognit. 84: 126-135 (2018) - [j21]Jianjun Lei, Bo Peng, Changqing Zhang, Xuguang Mei, Xiaochun Cao, Xiaoting Fan, Xuelong Li:
Shape-Preserving Object Depth Control for Stereoscopic Images. IEEE Trans. Circuits Syst. Video Technol. 28(12): 3333-3344 (2018) - [j20]Kun Zhan, Changqing Zhang, Junpeng Guan, Junsheng Wang:
Graph Learning for Multiview Clustering. IEEE Trans. Cybern. 48(10): 2887-2895 (2018) - [j19]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image. IEEE Trans. Medical Imaging 37(11): 2493-2501 (2018) - [c35]Shirui Luo, Changqing Zhang, Wei Zhang, Xiaochun Cao:
Consistent and Specific Multi-View Subspace Clustering. AAAI 2018: 3730-3737 - [c34]Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen:
Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis. AAAI 2018: 4406-4413 - [c33]Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang:
Latent Semantic Aware Multi-View Multi-Label Classification. AAAI 2018: 4414-4421 - [c32]Yue Liu, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Generalized Multi-view Unsupervised Feature Selection. ICANN (2) 2018: 469-478 - [c31]Changqing Zhang, Gang Min, Huan Ma, Xian Li:
Application of Non-uniform Sampling in Compressed Sensing for Speech Signal. ICIC (1) 2018: 413-424 - [c30]Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6 - [c29]Xiaoya Wei, Ziwei Yu, Changqing Zhang, Qinghua Hu:
Ensemble of Label Specific Features for Multi-Label Classification. ICME 2018: 1-6 - [c28]Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. IJCAI 2018: 3054-3060 - [c27]Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241 - [c26]Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248 - [c25]Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant brain development prediction with latent partial multi-view representation learning. ISBI 2018: 1048-1051 - [c24]Tao Zhou, Kim-Han Thung, Mingxia Liu, Feng Shi, Changqing Zhang, Dinggang Shen:
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis. PRIME@MICCAI 2018: 76-84 - [c23]Jing Hu, Changqing Zhang, Xiao Wang, Pengfei Zhu, Zheng Wang, Qinghua Hu:
Latent Subspace Representation for Multiclass Classification. PRICAI (1) 2018: 163-176 - [i3]Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao:
Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image. CoRR abs/1805.07549 (2018) - [i2]Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu:
Unsupervised Degradation Learning for Single Image Super-Resolution. CoRR abs/1812.04240 (2018) - 2017
- [j18]Yansheng Du, Zhihua Chen, Changqing Zhang, Xiaochun Cao:
Research on axial bearing capacity of rectangular concrete-filled steel tubular columns based on artificial neural networks. Frontiers Comput. Sci. 11(5): 863-873 (2017) - [j17]Yanbei Liu, Kaihua Liu, Changqing Zhang, Jing Wang, Xiao Wang:
Unsupervised feature selection via Diversity-induced Self-representation. Neurocomputing 219: 350-363 (2017) - [j16]Pengfei Zhu, Wencheng Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Subspace clustering guided unsupervised feature selection. Pattern Recognit. 66: 364-374 (2017) - [j15]Chang Tang, Pichao Wang, Changqing Zhang, Wanqing Li:
Salient Object Detection via Weighted Low Rank Matrix Recovery. IEEE Signal Process. Lett. 24(4): 490-494 (2017) - [j14]Changqing Zhang, Huazhu Fu, Qinghua Hu, Pengfei Zhu, Xiaochun Cao:
Flexible Multi-View Dimensionality Co-Reduction. IEEE Trans. Image Process. 26(2): 648-659 (2017) - [j13]Jianjun Lei, Min Wu, Changqing Zhang, Feng Wu, Nam Ling, Chunping Hou:
Depth-Preserving Stereo Image Retargeting Based on Pixel Fusion. IEEE Trans. Multim. 19(7): 1442-1453 (2017) - [c22]Xiaobo Wang, Xiaojie Guo, Zhen Lei, Changqing Zhang, Stan Z. Li:
Exclusivity-Consistency Regularized Multi-view Subspace Clustering. CVPR 2017: 1-9 - [c21]Changqing Zhang, Qinghua Hu, Huazhu Fu, Pengfei Zhu, Xiaochun Cao:
Latent Multi-view Subspace Clustering. CVPR 2017: 4333-4341 - [c20]Guangxia Wang, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization. ICANN (2) 2017: 340-348 - [c19]Kennedy W. Wangila, Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Mixed sparsity regularized multi-view unsupervised feature selection. ICIP 2017: 1930-1934 - [c18]Siqi Liang, Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised feature selection by manifold regularized self-representation. ICIP 2017: 2398-2402 - [c17]Ziwei Yu, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Independence regularized multi-label ensemble. ICME 2017: 853-858 - [c16]Qi Hu, Pengfei Zhu, Changqing Zhang, Qinghua Hu:
Multi-view Label Space Dimension Reduction. ICONIP (1) 2017: 248-258 - [c15]Hua Zhang, Rui Wang, Changqing Zhang, Xiaochun Cao:
LEAF: Latent Extended Attribute Features Discovery for Visual Classification. ACM Multimedia 2017: 979-987 - [i1]Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou:
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion. CoRR abs/1710.05174 (2017) - 2016
- [j12]Pengfei Zhu, Qinghua Hu, Yahong Han, Changqing Zhang, Yong Du:
Combining neighborhood separable subspaces for classification via sparsity regularized optimization. Inf. Sci. 370-371: 270-287 (2016) - [j11]Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou:
Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion. IEEE Signal Process. Lett. 23(6): 819-823 (2016) - [j10]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Xiaojie Guo, Qi Tian:
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1253-1265 (2016) - [c14]Pengfei Zhu, Qinghua Hu, Changqing Zhang, Wangmeng Zuo:
Coupled Dictionary Learning for Unsupervised Feature Selection. AAAI 2016: 2422-2428 - [c13]Ke Gao, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Unsupervised Subspace Learning via Analysis Dictionary Learning. CCBR 2016: 556-563 - [c12]Qian Xu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Robust Multi-label Feature Selection with Missing Labels. CCPR (1) 2016: 752-765 - [c11]Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao:
SketchNet: Sketch Classification with Web Images. CVPR 2016: 1105-1113 - [c10]Huaxi Huang, Changqing Zhang, Qinghua Hu, Pengfei Zhu:
Multi-view Representative and Informative Induced Active Learning. PRICAI 2016: 139-151 - [c9]Wencheng Zhu, Pengfei Zhu, Qinghua Hu, Changqing Zhang:
Set to Set Visual Tracking. PRICAI 2016: 700-712 - 2015
- [j9]Lei Niu, Changqing Zhang, Qi Xia, Yong Yu:
Advanced security analysis of a signature scheme with message recovery. Int. J. Inf. Comput. Secur. 7(1): 39-48 (2015) - [j8]Changqing Zhang, Zhiqiang Tao, Xingxing Wei, Xiaochun Cao:
A flexible framework of adaptive method selection for image saliency detection. Pattern Recognit. Lett. 63: 66-70 (2015) - [j7]Xingxing Wei, Zhiqiang Tao, Changqing Zhang, Xiaochun Cao:
Structured Saliency Fusion Based on Dempster-Shafer Theory. IEEE Signal Process. Lett. 22(9): 1345-1349 (2015) - [j6]Xiaochun Cao, Changqing Zhang, Chengju Zhou, Huazhu Fu, Hassan Foroosh:
Constrained Multi-View Video Face Clustering. IEEE Trans. Image Process. 24(11): 4381-4393 (2015) - [c8]Xiaochun Cao, Changqing Zhang, Huazhu Fu, Si Liu, Hua Zhang:
Diversity-induced Multi-view Subspace Clustering. CVPR 2015: 586-594 - [c7]Changqing Zhang, Huazhu Fu, Si Liu, Guangcan Liu, Xiaochun Cao:
Low-Rank Tensor Constrained Multiview Subspace Clustering. ICCV 2015: 1582-1590 - [c6]Chengju Zhou, Changqing Zhang, Huazhu Fu, Rui Wang, Xiaochun Cao:
Multi-cue Augmented Face Clustering. ACM Multimedia 2015: 1095-1098 - 2014
- [j5]Changqing Zhang, Guangping Li, Shinong Zhu, Shuo Zhang, Jinggui Fang:
tasiRNAdb: a database of ta-siRNA regulatory pathways. Bioinform. 30(7): 1045-1046 (2014) - [c5]Changqing Zhang, Yahong Han, Xiaojie Guo, Xiaochun Cao:
Output Feature Augmented Lasso. ICDM 2014: 680-686 - [c4]Binbin Ma, Changqing Zhang, Jingjing Chen, Ri Qu, Jiangjian Xiao, Xiaochun Cao:
Human Skin Detection via Semantic Constraint. ICIMCS 2014: 181 - [c3]Chengju Zhou, Changqing Zhang, Xuewei Li, Gaotao Shi, Xiaochun Cao:
Video Face Clustering via Constrained Sparse Representation. ICME 2014: 1-6 - 2013
- [c2]Rong Tao, Senbin Yang, Wei Tan, Changqing Zhang:
Secure Gateway of Internet of Things Based on AppWeb and Secure Sockets Layer for Intelligent Granary Management System. CCTA (1) 2013: 78-89 - 2012
- [j4]Changqing Zhang, Guangping Li, Jin Wang, Jinggui Fang:
Identification of trans-acting siRNAs and their regulatory cascades in grapevine. Bioinform. 28(20): 2561-2568 (2012) - 2011
- [j3]Changqing Zhang, Jin Wang, Xu Hua, Jinggui Fang, Huaiqiu Zhu, Xiang Gao:
A mutation degree model for the identification of transcriptional regulatory elements. BMC Bioinform. 12: 262 (2011)
2000 – 2009
- 2000
- [c1]Changqing Zhang, Weiyi Meng, Zonghuan Wu, Zhongfei Zhang:
WebSSQL - A Query Language for Multimedia Web Documents. ADL 2000: 58-67
1990 – 1999
- 1999
- [j2]Nikolaos G. Bourbakis, Weiyi Meng, Changqing Zhang, Zonghuan Wu, John Salerno, Stan Borek:
Retrieval of Multimedia Web Documents and Removal of Redundant Information. Int. J. Artif. Intell. Tools 8(1): 19-42 (1999) - 1994
- [j1]Yong Shi, Po Lung Yu, Changqing Zhang, Dazhi Zhang:
A computer-aided system for linear production designs. Decis. Support Syst. 12(2): 127-149 (1994)
Coauthor Index
[j67] [j62] [j59] [j58] [c73] [c71] [c68] [i42] [i41] [i40] [i38] [i36] [i34] [i33] [i32] [j51] [c65] [c63] [c61] [c60] [i30] [i28] [i27] [i25] [i23] [i22] [i20] [j48] [j47] [i19] [j45] [c56] [c55] [c53] [c52] [i13] [j42] [j39] [j36] [c51] [c49] [i8] [i6] [c43] [c40] [c36] [i4] [j25] [j23] [j22] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c23] [i2] [j16] [j14] [c21] [c20] [c19] [c18] [c17] [c16] [j12] [c14] [c13] [c12] [c10] [c9]
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