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2020 – today
- 2024
[j63]Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan
:
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning. Adv. Intell. Syst. 6(8) (2024)- [j62]Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan:
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning. Adv. Intell. Syst. 6(8) (2024) - [j61]Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou:
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Comput. Biol. Medicine 170: 108058 (2024) - [j60]Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding:
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1664-1681 (2024) - [j59]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6454-6470 (2024) - [j58]Zhengming Zhang, Zhengming Ding, Renran Tian:
Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention. IEEE Trans. Image Process. 33: 4716-4727 (2024) - [j57]Yi Tian, Yilei Zhang, Yaping Huang, Wanru Xu, Zhengming Ding:
Differential Refinement Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4164-4178 (2024) - [j56]Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding:
Marginalized Augmented Few-Shot Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12459-12469 (2024) - [c78]Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding:
Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. CVPR Workshops 2024: 2704-2713 - [c77]Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm:
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation. CVPR Workshops 2024: 5157-5166 - [c76]Haifeng Xia, Siyu Xia, Zhengming Ding:
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. CVPR 2024: 23648-23658 - [c75]Wangguandong Zheng, Haifeng Xia, Rui Chen, Libo Sun, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. ACM Multimedia 2024: 3617-3626 - [c74]Kang Shen, Haifeng Xia, Guangxing Geng, Guangyue Geng, Siyu Xia, Zhengming Ding:
DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling. ACM Multimedia 2024: 10506-10514 - [c73]Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang:
iBARLE: imBalance-Aware Room Layout Estimation. WACV 2024: 903-913 - [i47]Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang:
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. CoRR abs/2401.10348 (2024) - [i46]Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang:
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. CoRR abs/2404.00144 (2024) - [i45]Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. CoRR abs/2404.01843 (2024) - [i44]Haifeng Xia, Hai Huang, Zhengming Ding:
GCC: Generative Calibration Clustering. CoRR abs/2404.09115 (2024) - [i43]Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. CoRR abs/2405.07977 (2024) - [i42]Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm:
From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis. CoRR abs/2406.18375 (2024) - [i41]Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding:
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment. CoRR abs/2409.09520 (2024) - 2023
- [j55]Yucai Bai, Qin Zou, Xieyuanli Chen, Lingxi Li, Zhengming Ding, Long Chen:
Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer. Int. J. Comput. Vis. 131(6): 1550-1565 (2023) - [j54]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) - [j53]Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu:
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. 8(4): 2054-2061 (2023) - [j52]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) - [j51]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) - [j50]Haifeng Xia, Taotao Jing, Zhengming Ding:
Generative Inference Network for Imbalanced Domain Generalization. IEEE Trans. Image Process. 32: 1694-1704 (2023) - [j49]Zhengming Zhang, Renran Tian, Rini Sherony, Joshua E. Domeyer, Zhengming Ding:
Attention-Based Interrelation Modeling for Explainable Automated Driving. IEEE Trans. Intell. Veh. 8(2): 1564-1573 (2023) - [j48]Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu:
Generative Multi-Label Correlation Learning. ACM Trans. Knowl. Discov. Data 17(2): 18:1-18:19 (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) - [c72]Zhengming Zhang, Renran Tian, Zhengming Ding:
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. AAAI 2023: 3534-3542 - [c71]Peizhao Li, Zhengming Ding, Hongfu Liu:
Mining Label Distribution Drift in Unsupervised Domain Adaptation. AI (1) 2023: 354-366 - [c70]Haifeng Xia, Kai Li, Zhengming Ding:
Personalized Semantics Excitation for Federated Image Classification. ICCV 2023: 19244-19253 - [c69]Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding:
Few-Shot Video Classification via Representation Fusion and Promotion Learning. ICCV 2023: 19254-19263 - [c68]Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI 2023: 4118-4126 - [c67]Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu:
IDA: Informed Domain Adaptive Semantic Segmentation. IROS 2023: 90-97 - [i40]Wenxiao Xiao, Zhengming Ding, Hongfu Liu:
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. CoRR abs/2303.02302 (2023) - [i39]Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu:
IDA: Informed Domain Adaptive Semantic Segmentation. CoRR abs/2303.02741 (2023) - [i38]Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou:
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. CoRR abs/2304.05542 (2023) - [i37]Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm:
Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification? CoRR abs/2307.03157 (2023) - [i36]Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang:
iBARLE: imBalance-Aware Room Layout Estimation. CoRR abs/2308.15050 (2023) - [i35]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. CoRR abs/2309.04430 (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 A. 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]Lichen Wang, Zhengming Ding, Yun Fu:
Learning Transferable Subspace for Human Motion Segmentation. AAAI 2018: 4195-4202 - [c30]Zhengming Ding, Sheng Li, Ming Shao, Yun Fu:
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. ECCV (2) 2018: 36-52 - [c29]Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu:
One-Shot Face Recognition via Generative Learning. FG 2018: 1-7 - [c28]Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu:
Kinship Classification through Latent Adaptive Subspace. FG 2018: 143-149 - [c27]Zhengming Ding, Ming Shao, Sheng Li, Yun Fu:
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. ICBK 2018: 282-289 - [c26]Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu:
Partial Multi-view Clustering via Consistent GAN. ICDM 2018: 1290-1295 - [c25]Lichen Wang, Zhengming Ding, Yun Fu:
Adaptive Graph Guided Embedding for Multi-label Annotation. IJCAI 2018: 2798-2804 - [c24]Zhengming Ding, Ming Shao, Yun Fu:
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. IJCAI 2018: 5434-5440 - [c23]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Support Neighbor Loss for Person Re-Identification. ACM Multimedia 2018: 1492-1500 - [i1]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Support Neighbor Loss for Person Re-Identification. CoRR abs/1808.06030 (2018) - 2017
- [j6]Zhengming Ding, Yun Fu:
Robust Transfer Metric Learning for Image Classification. IEEE Trans. Image Process. 26(2): 660-670 (2017) - [j5]Yu Kong, Zhengming Ding, Jun Li, Yun Fu:
Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Trans. Image Process. 26(6): 3028-3037 (2017) - [c22]Shuyang Wang, Zhengming Ding, Yun Fu:
Feature Selection Guided Auto-Encoder. AAAI 2017: 2725-2731 - [c21]Handong Zhao, Zhengming Ding, Yun Fu:
Multi-View Clustering via Deep Matrix Factorization. AAAI 2017: 2921-2927 - [c20]Zhengming Ding, Ming Shao, Yun Fu:
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. CVPR 2017: 6005-6013 - [c19]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
From Ensemble Clustering to Multi-View Clustering. IJCAI 2017: 2843-2849 - [c18]Shuhui Jiang, Zhengming Ding, Yun Fu:
Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation. ACM Multimedia 2017: 163-171 - [c17]Wencang Zhao, Yu Kong, Zhengming Ding, Yun Fu:
Deep Active Learning Through Cognitive Information Parcels. ACM Multimedia 2017: 952-960 - 2016
- [c16]Zhengming Ding, Yun Fu:
Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. AAAI 2016: 1181-1187 - [c15]Handong Zhao, Zhengming Ding, Yun Fu:
Pose-Dependent Low-Rank Embedding for Head Pose Estimation. AAAI 2016: 1422-1428 - [c14]Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu:
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. AAAI 2016: 2023-2029 - [c13]Zhengming Ding, Ming Shao, Yun Fu:
Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. ECCV (6) 2016: 567-582 - [c12]Zhengming Ding, Nasser M. Nasrabadi, Yun Fu:
Task-driven deep transfer learning for image classification. ICASSP 2016: 2414-2418 - [c11]Shuyang Wang, Zhengming Ding, Yun Fu:
Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning. IJCAI 2016: 2125-2131 - [c10]Zhengming Ding, Ming Shao, Yun Fu:
Transfer learning for image classification with incomplete multiple sources. IJCNN 2016: 2188-2195 - 2015
- [j4]Zhengming Ding, Ming Shao, Yun Fu:
Missing Modality Transfer Learning via Latent Low-Rank Constraint. IEEE Trans. Image Process. 24(11): 4322-4334 (2015) - [c9]Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu:
Discriminative low-rank metric learning for face recognition. FG 2015: 1-6 - [c8]Ming Shao, Zhengming Ding, Yun Fu:
Sparse low-rank fusion based deep features for missing modality face recognition. FG 2015: 1-6 - [c7]Handong Zhao, Zhengming Ding, Yun Fu:
Block-wise constrained sparse graph for face image representation. FG 2015: 1-6 - [c6]Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu:
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. ICDM 2015: 1123-1128 - [c5]Zhengming Ding, Ming Shao, Yun Fu:
Deep Low-Rank Coding for Transfer Learning. IJCAI 2015: 3453-3459 - [c4]Ming Shao, Sheng Li, Zhengming Ding, Yun Fu:
Deep Linear Coding for Fast Graph Clustering. IJCAI 2015: 3798-3804 - 2014
- [c3]Zhengming Ding, Ming Shao, Yun Fu:
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. AAAI 2014: 1192-1198 - [c2]Zhengming Ding, Yun Fu:
Low-Rank Common Subspace for Multi-view Learning. ICDM 2014: 110-119 - [c1]Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu:
Latent Tensor Transfer Learning for RGB-D Action Recognition. ACM Multimedia 2014: 87-96 - 2013
- [j3]Ke Lu, Zhengming Ding, Sam S. Ge:
Locally connected graph for visual tracking. Neurocomputing 120: 45-53 (2013) - 2012
- [j2]Ke Lu, Zhengming Ding, Jidong Zhao:
Locally connected graph embedding for semisupervised image classification. J. Electronic Imaging 21(4): 043021 (2012) - [j1]Ke Lu, Zhengming Ding, Sam S. Ge:
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition. IEEE Trans. Intell. Transp. Syst. 13(4): 1515-1524 (2012)
Coauthor Index
[j48] [j39] [j38] [j33] [j30] [j29] [j28] [j27] [c44] [i22] [b1] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [c38] [c37] [c36] [i4] [j14] [j13] [j12] [j11] [j9] [j8] [j7] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i1] [j6] [j5] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [j4] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
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