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2020 – today
- 2023
[j50]Haifeng Xia
, Taotao Jing, Zhengming Ding:
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3434-3445 (2023)- [j49]Gan Sun, Yang Cong, Changjun Gu, Xu Tang, Zhengming Ding, Haibin Yu:
Hierarchical Lifelong Machine Learning With "Watchdog". IEEE Trans. Big Data 9(1): 63-74 (2023) - [j48]Yuyang Liu, Yang Cong, Gan Sun, Zhengming Ding:
Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception. IEEE Trans. Circuits Syst. Video Technol. 33(2): 818-829 (2023) - [j47]Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang:
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(1): 264-277 (2023) - [i36]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. CoRR abs/2303.02302 (2023) - [i35]Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu:
IDA: Informed Domain Adaptive Semantic Segmentation. CoRR abs/2303.02741 (2023) - 2022
- [j46]Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu:
What and How: Generalized Lifelong Spectral Clustering via Dual Memory. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3895-3908 (2022) - [j45]Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen:
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8196-8211 (2022) - [j44]Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding:
A zero-shot learning framework via cluster-prototype matching. Pattern Recognit. 124: 108469 (2022) - [j43]Jing Sun, Zhihui Wang, Wei Wang, Haojie Li, Fuming Sun, Zhengming Ding:
Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1453-1466 (2022) - [j42]Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding:
Continuous Multi-View Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3603-3614 (2022) - [j41]Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Few-Shot Domain Adaptation via Mixup Optimal Transport. IEEE Trans. Image Process. 31: 2518-2528 (2022) - [j40]Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding:
Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval. IEEE Trans. Image Process. 31: 3657-3668 (2022) - [j39]Lichen Wang, Zhengming Ding, Yun Fu:
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. ACM Trans. Knowl. Discov. Data 16(1): 12:1-12:20 (2022) - [j38]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 826-838 (2022) - [c66]Haifeng Xia, Zhengming Ding:
Cross-Domain Collaborative Normalization via Structural Knowledge. AAAI 2022: 2777-2785 - [c65]Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen:
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CVPR 2022: 8387-8396 - [c64]Haifeng Xia, Pu Wang, Zhengming Ding:
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. ECCV (34) 2022: 200-217 - [c63]Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua E. Domeyer, Rini Sherony, Zhengming Ding:
InAction: Interpretable Action Decision Making for Autonomous Driving. ECCV (38) 2022: 370-387 - [c62]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI 2022: 3608-3614 - [i34]Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding:
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. CoRR abs/2204.05596 (2022) - [i33]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Learnable Visual Words for Interpretable Image Recognition. CoRR abs/2205.10724 (2022) - [i32]Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. CoRR abs/2208.10531 (2022) - [i31]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR abs/2209.09943 (2022) - 2021
- [j37]Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding:
Deep Residual Correction Network for Partial Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2329-2344 (2021) - [j36]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3918-3930 (2021) - [j35]Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li:
Sparsely-labeled source assisted domain adaptation. Pattern Recognit. 112: 107803 (2021) - [j34]Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding:
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(5): 2020-2033 (2021) - [j33]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. IEEE Trans. Image Process. 30: 1771-1783 (2021) - [j32]Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding:
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. IEEE Trans. Image Process. 30: 2207-2219 (2021) - [j31]Taotao Jing, Bingrong Xu, Zhengming Ding:
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. IEEE Trans. Image Process. 30: 8200-8211 (2021) - [c61]Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. AAAI 2021: 6156-6164 - [c60]Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI 2021: 8013-8020 - [c59]Haifeng Xia, Handong Zhao, Zhengming Ding:
Adaptive Adversarial Network for Source-free Domain Adaptation. ICCV 2021: 8990-8999 - [c58]Taotao Jing, Hongfu Liu, Zhengming Ding:
Towards Novel Target Discovery Through Open-Set Domain Adaptation. ICCV 2021: 9302-9311 - [c57]Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding:
3D Human Pose Estimation with Spatial and Temporal Transformers. ICCV 2021: 11636-11645 - [c56]Tina Chen, Renran Tian, Zhengming Ding:
Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention. ICCVW 2021: 3096-3102 - [c55]Mei Qiu, Stanley Y. P. Chien, Anup Atul Mulay, Lauren Christopher, Zhengming Ding, Yaobin Chen, Jim Sturdevant, Ed Cox:
Intelligent Highway Lane Center Identification from Surveillance Camera Video. ITSC 2021: 2506-2511 - [c54]Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding:
Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. ACM Multimedia 2021: 3853-3861 - [c53]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Implicit Semantic Response Alignment for Partial Domain Adaptation. NeurIPS 2021: 13820-13833 - [c52]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. WACV 2021: 454-463 - [c51]Taotao Jing, Zhengming Ding:
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. WACV 2021: 605-614 - [i30]Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li:
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation. CoRR abs/2101.09979 (2021) - [i29]Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding:
3D Human Pose Estimation with Spatial and Temporal Transformers. CoRR abs/2103.10455 (2021) - [i28]Taotao Jing, Hongfu Liu, Zhengming Ding:
Towards Novel Target Discovery Through Open-Set Domain Adaptation. CoRR abs/2105.02432 (2021) - [i27]Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR abs/2111.00063 (2021) - [i26]Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen:
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. CoRR abs/2111.14213 (2021) - [i25]Tina Chen, Renran Tian, Yaobin Chen, Joshua E. Domeyer, Heishiro Toyoda, Rini Sherony, Taotao Jing, Zhengming Ding:
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car. CoRR abs/2112.02604 (2021) - 2020
- [j30]Shuhui Jiang, Zhengming Ding, Yun Fu:
Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1097-1111 (2020) - [j29]Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu:
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2801-2814 (2020) - [j28]Shuhui Jiang, Haiyi Mao, Zhengming Ding, Yun Fu:
Deep Decision Tree Transfer Boosting. IEEE Trans. Neural Networks Learn. Syst. 31(2): 383-395 (2020) - [j27]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(2): 600-611 (2020) - [j26]Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu:
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4842-4856 (2020) - [c50]Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. AAAI 2020: 6615-6622 - [c49]Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding:
Visual Tactile Fusion Object Clustering. AAAI 2020: 10426-10433 - [c48]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. AAAI 2020: 11386-11393 - [c47]Haifeng Xia, Zhengming Ding:
Structure Preserving Generative Cross-Domain Learning. CVPR 2020: 4363-4372 - [c46]Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding:
Adaptive Local Neighbors for Transfer Discriminative Feature Learning. ECAI 2020: 1595-1602 - [c45]Haifeng Xia, Zhengming Ding:
HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation. ECCV (27) 2020: 55-70 - [c44]Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu:
Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. ECCV (14) 2020: 318-334 - [c43]Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM Multimedia 2020: 1348-1356 - [c42]Taotao Jing, Haifeng Xia, Zhengming Ding:
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. ACM Multimedia 2020: 1606-1614 - [c41]Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding:
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. ACM Multimedia 2020: 3866-3874 - [i24]Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. CoRR abs/2002.04869 (2020) - [i23]Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang:
Towards Fair Cross-Domain Adaptation via Generative Learning. CoRR abs/2003.02366 (2020) - [i22]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Generative Partial Multi-View Clustering. CoRR abs/2003.13088 (2020) - [i21]Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding:
Deep Residual Correction Network for Partial Domain Adaptation. CoRR abs/2004.04914 (2020) - [i20]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. CoRR abs/2004.12615 (2020) - [i19]Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding:
Sparsely-Labeled Source Assisted Domain Adaptation. CoRR abs/2005.04111 (2020) - [i18]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. CoRR abs/2005.06717 (2020) - [i17]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. CoRR abs/2006.09565 (2020) - [i16]Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang:
Rethink Maximum Mean Discrepancy for Domain Adaptation. CoRR abs/2007.00689 (2020) - [i15]Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding:
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. CoRR abs/2008.01677 (2020) - [i14]Taotao Jing, Ming Shao, Zhengming Ding:
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation. CoRR abs/2008.11360 (2020) - [i13]Taotao Jing, Haifeng Xia, Zhengming Ding:
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. CoRR abs/2008.11873 (2020) - [i12]Taotao Jing, Zhengming Ding:
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. CoRR abs/2008.11878 (2020) - [i11]Taotao Jing, Bingrong Xu, Jingjing Li, Zhengming Ding:
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. CoRR abs/2010.12184 (2020) - [i10]Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding:
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. CoRR abs/2012.04170 (2020) - [i9]Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. CoRR abs/2012.14070 (2020)
2010 – 2019
- 2019
- [b1]Zhengming Ding, Handong Zhao, Yun Fu:
Learning Representation for Multi-View Data Analysis - Models and Applications. Advanced Information and Knowledge Processing, Springer 2019, ISBN 978-3-030-00733-1, pp. 1-268 - [j25]Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu:
Knowledge Reused Outlier Detection. IEEE Access 7: 43763-43772 (2019) - [j24]Shuyang Wang, Zhengming Ding, Yun Fu:
Cross-Generation Kinship Verification with Sparse Discriminative Metric. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2783-2790 (2019) - [j23]Zhengming Ding, Ming Shao, Yun Fu:
Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 2861-2874 (2019) - [j22]Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu:
Robust Discriminative Metric Learning for Image Representation. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3173-3183 (2019) - [j21]Zhengming Ding, Yun Fu:
Dual Low-Rank Decompositions for Robust Cross-View Learning. IEEE Trans. Image Process. 28(1): 194-204 (2019) - [j20]Lichen Wang, Zhengming Ding, Yun Fu:
Low-Rank Transfer Human Motion Segmentation. IEEE Trans. Image Process. 28(2): 1023-1034 (2019) - [j19]Shuyang Wang, Zhengming Ding, Yun Fu:
Discerning Feature Supported Encoder for Image Representation. IEEE Trans. Image Process. 28(8): 3728-3738 (2019) - [j18]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13(1): 4:1-4:25 (2019) - [j17]Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu:
Structure-Preserved Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(4): 799-812 (2019) - [j16]Zhengming Ding, Yun Fu:
Deep Transfer Low-Rank Coding for Cross-Domain Learning. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1768-1779 (2019) - [j15]Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1896-1907 (2019) - [c40]Zhengming Ding, Hongfu Liu:
Marginalized Latent Semantic Encoder for Zero-Shot Learning. CVPR 2019: 6191-6199 - [c39]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR 2019: 7402-7411 - [c38]Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu:
Generative Multi-View Human Action Recognition. ICCV 2019: 6211-6220 - [c37]Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu:
Online Multi-Task Clustering for Human Motion Segmentation. ICCV Workshops 2019: 970-979 - [c36]Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu:
Generative Correlation Discovery Network for Multi-label Learning. ICDM 2019: 588-597 - [c35]Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang:
Joint Adversarial Domain Adaptation. ACM Multimedia 2019: 729-737 - [c34]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. ACM Multimedia 2019: 747-755 - [i8]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR abs/1904.04092 (2019) - [i7]Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. CoRR abs/1906.00120 (2019) - [i6]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. CoRR abs/1909.07618 (2019) - [i5]Zhengming Ding, Ming Shao:
Robust Knowledge Discovery via Low-rank Modeling. CoRR abs/1909.13123 (2019) - [i4]Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu:
Generative One-Shot Face Recognition. CoRR abs/1910.04860 (2019) - [i3]Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding:
Visual Tactile Fusion Object Clustering. CoRR abs/1911.09430 (2019) - [i2]Wei Wang, Zhihui Wang, Haojie Li, Zhengming Ding:
Probabilistic Filtered Soft Labels for Domain Adaptation. CoRR abs/1912.12209 (2019) - 2018
- [j14]Handong Zhao, Zhengming Ding, Yun Fu:
Ensemble Subspace Segmentation Under Blockwise Constraints. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1526-1539 (2018) - [j13]Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu:
Consensus Regularized Multi-View Outlier Detection. IEEE Trans. Image Process. 27(1): 236-248 (2018) - [j12]Zhengming Ding, Yun Fu:
Deep Domain Generalization With Structured Low-Rank Constraint. IEEE Trans. Image Process. 27(1): 304-313 (2018) - [j11]Shuyang Wang, Zhengming Ding, Yun Fu:
Marginalized Denoising Dictionary Learning With Locality Constraint. IEEE Trans. Image Process. 27(1): 500-510 (2018) - [j10]Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu:
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation. IEEE Trans. Image Process. 27(9): 4260-4273 (2018) - [j9]Zhengming Ding, Nasser M. Nasrabadi, Yun Fu:
Semi-supervised Deep Domain Adaptation via Coupled Neural Networks. IEEE Trans. Image Process. 27(11): 5214-5224 (2018) - [j8]Zhengming Ding, Ming Shao, Yun Fu:
Incomplete Multisource Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. 29(2): 310-323 (2018) - [j7]Zhengming Ding, Yun Fu:
Robust Multiview Data Analysis Through Collective Low-Rank Subspace. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1986-1997 (2018) - [c33]Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. AAAI 2018: 2331-2338 - [c32]Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu:
Latent Discriminant Subspace Representations for Multi-View Outlier Detection. AAAI 2018: 3522-3529 - [c31]