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2020 – today
- 2024
[j66]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)- [j65]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) - [j64]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) - [j63]Kai Wang, Changqing Zhang, Yu Geng, Huan Ma:
Evidential Pseudo-Label Ensemble for semi-supervised classification. Pattern Recognit. Lett. 177: 135-141 (2024) - [j62]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) - [j61]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) - [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) - [c71]Mouxing Yang, Yunfan Li, Changqing Zhang, Peng Hu, Xi Peng:
Test-time Adaptation against Multi-modal Reliability Bias. ICLR 2024 - [c70]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. ICML 2024 - [c69]Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang:
Uncertainty-aware Dynamic Re-weighting Robust Classification. IJCNN 2024: 1-8 - [c68]Wenshu Ge, Huan Ma, Changqing Zhang:
Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking. IJCNN 2024: 1-8 - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu:
Predictive Dynamic Fusion. CoRR abs/2406.04802 (2024) - [i32]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) - 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]