Locally connected graph embedding for semisupervised image classification. - Ke Lu 001; Zhengming Ding; Jidong Zhao (J. Electronic Imaging, 2012)

Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition. - Ke Lu 001; Zhengming Ding; Sam S. Ge (IEEE Trans. Intell. Transp. Syst., 2012)

Locally connected graph for visual tracking. - Ke Lu 001; Zhengming Ding; Sam S. Ge (Neurocomputing, 2013)

Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. - Zhengming Ding; Ming Shao; Yun Fu 001 (AAAI, 2014)

Low-Rank Common Subspace for Multi-view Learning. - Zhengming Ding; Yun Fu 001 (ICDM, 2014)

Latent Tensor Transfer Learning for RGB-D Action Recognition. - Chengcheng Jia; Yu Kong 001; Zhengming Ding; Yun Raymond Fu (ACM Multimedia, 2014)

Discriminative low-rank metric learning for face recognition. - Zhengming Ding; Sungjoo Suh; Jae-Joon Han; Changkyu Choi; Yun Fu 001 (FG, 2015)

Sparse low-rank fusion based deep features for missing modality face recognition. - Ming Shao; Zhengming Ding; Yun Fu 001 (FG, 2015)

Block-wise constrained sparse graph for face image representation. - Handong Zhao; Zhengming Ding; Yun Fu 001 (FG, 2015)

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. - Handong Zhao; Zhengming Ding; Ming Shao; Yun Fu 001 (ICDM, 2015)

Deep Low-Rank Coding for Transfer Learning. - Zhengming Ding; Ming Shao; Yun Fu 001 (IJCAI, 2015)

Deep Linear Coding for Fast Graph Clustering. - Ming Shao; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2015)

Missing Modality Transfer Learning via Latent Low-Rank Constraint. - Zhengming Ding; Ming Shao; Yun Fu 001 (IEEE Trans. Image Process., 2015)

Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. - Zhengming Ding; Yun Fu 001 (AAAI, 2016)

Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. - Ming Shao; Zhengming Ding; Handong Zhao; Yun Fu 001 (AAAI, 2016)

Pose-Dependent Low-Rank Embedding for Head Pose Estimation. - Handong Zhao; Zhengming Ding; Yun Fu 001 (AAAI, 2016)

Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. - Zhengming Ding; Ming Shao; Yun Fu 001 (ECCV (6), 2016)

Task-driven deep transfer learning for image classification. - Zhengming Ding; Nasser M. Nasrabadi; Yun Fu 001 (ICASSP, 2016)

Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning. - Shuyang Wang; Zhengming Ding; Yun Fu 001 (IJCAI, 2016)

Transfer learning for image classification with incomplete multiple sources. - Zhengming Ding; Ming Shao; Yun Fu 001 (IJCNN, 2016)

Feature Selection Guided Auto-Encoder. - Shuyang Wang; Zhengming Ding; Yun Fu 001 (AAAI, 2017)

Multi-View Clustering via Deep Matrix Factorization. - Handong Zhao; Zhengming Ding; Yun Fu 001 (AAAI, 2017)

Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. - Zhengming Ding; Ming Shao; Yun Fu 001 (CVPR, 2017)

From Ensemble Clustering to Multi-View Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IJCAI, 2017)

Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation. - Shuhui Jiang; Zhengming Ding; Yun Fu 001 (ACM Multimedia, 2017)

Deep Active Learning Through Cognitive Information Parcels. - Wencang Zhao; Yu Kong 001; Zhengming Ding; Yun Fu 001 (ACM Multimedia, 2017)

Robust Transfer Metric Learning for Image Classification. - Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2017)

Deeply Learned View-Invariant Features for Cross-View Action Recognition. - Yu Kong 001; Zhengming Ding; Jun Li 027; Yun Fu 001 (IEEE Trans. Image Process., 2017)

Latent Discriminant Subspace Representations for Multi-View Outlier Detection. - Kai Li 012; Sheng Li 001; Zhengming Ding; Weidong Zhang; Yun Fu 001 (AAAI, 2018)

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. - Kai Li 012; Zhengming Ding; Sheng Li 001; Yun Fu 001 (AAAI, 2018)

Learning Transferable Subspace for Human Motion Segmentation. - Lichen Wang; Zhengming Ding; Yun Fu 001 (AAAI, 2018)

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. - Zhengming Ding; Sheng Li 001; Ming Shao; Yun Fu 001 (ECCV (2), 2018)

One-Shot Face Recognition via Generative Learning. - Zhengming Ding; Yandong Guo; Lei Zhang; Yun Fu 001 (FG, 2018)

Kinship Classification through Latent Adaptive Subspace. - Yue Wu 008; Zhengming Ding; Hongfu Liu 001; Joseph P. Robinson; Yun Fu 001 (FG, 2018)

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. - Zhengming Ding; Ming Shao; Sheng Li 001; Yun Fu 001 (ICBK, 2018)

Partial Multi-view Clustering via Consistent GAN. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (ICDM, 2018)

Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. - Zhengming Ding; Ming Shao; Yun Fu 001 (IJCAI, 2018)

Adaptive Graph Guided Embedding for Multi-label Annotation. - Lichen Wang; Zhengming Ding; Yun Fu 001 (IJCAI, 2018)

Support Neighbor Loss for Person Re-Identification. - Kai Li 012; Zhengming Ding; Kunpeng Li; Yulun Zhang 001; Yun Fu 001 (ACM Multimedia, 2018)

Ensemble Subspace Segmentation Under Blockwise Constraints. - Handong Zhao; Zhengming Ding; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Deep Domain Generalization With Structured Low-Rank Constraint. - Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Semi-supervised Deep Domain Adaptation via Coupled Neural Networks. - Zhengming Ding; Nasser M. Nasrabadi; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation. - Shuang Li 008; Shiji Song; Gao Huang 001; Zhengming Ding; Cheng Wu (IEEE Trans. Image Process., 2018)

Marginalized Denoising Dictionary Learning With Locality Constraint. - Shuyang Wang; Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Consensus Regularized Multi-View Outlier Detection. - Handong Zhao; Hongfu Liu 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Robust Multiview Data Analysis Through Collective Low-Rank Subspace. - Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Incomplete Multisource Transfer Learning. - Zhengming Ding; Ming Shao; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Marginalized Latent Semantic Encoder for Zero-Shot Learning. - Zhengming Ding; Hongfu Liu 001 (CVPR, 2019)

Leveraging the Invariant Side of Generative Zero-Shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Zhengming Ding; Lei Zhu 002; Zi Huang (CVPR, 2019)

Generative Multi-View Human Action Recognition. - Lichen Wang; Zhengming Ding; Zhiqiang Tao; Yunyu Liu; Yun Fu 001 (ICCV, 2019)

Online Multi-Task Clustering for Human Motion Segmentation. - Gan Sun; Yang Cong; Lichen Wang; Zhengming Ding; Yun Fu 001 (ICCV Workshops, 2019)

Generative Correlation Discovery Network for Multi-label Learning. - Lichen Wang; Zhengming Ding; Seungju Han 001; Jae-Joon Han; Changkyu Choi; Yun Fu 001 (ICDM, 2019)

Joint Adversarial Domain Adaptation. - Shuang Li 008; Chi Harold Liu; Binhui Xie; Limin Su; Zhengming Ding; Gao Huang 001 (ACM Multimedia, 2019)

Cycle-consistent Conditional Adversarial Transfer Networks. - Jingjing Li 001; Erpeng Chen; Zhengming Ding; Lei Zhu 002; Ke Lu 001; Zi Huang (ACM Multimedia, 2019)

Knowledge Reused Outlier Detection. - Weiren Yu; Zhengming Ding; Chunming Hu; Hongfu Liu 001 (IEEE Access, 2019)

Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Hongfu Liu 001; Zhiqiang Tao; Zhengming Ding (CoRR, 2019)

Robust Knowledge Discovery via Low-rank Modeling. - Zhengming Ding; Ming Shao (CoRR, 2019)

Generative One-Shot Face Recognition. - Zhengming Ding; Yandong Guo; Lei Zhang; Yun Fu 001 (CoRR, 2019)

Probabilistic Filtered Soft Labels for Domain Adaptation. - Wei Wang 335; Zhihui Wang 001; Haojie Li; Zhengming Ding (CoRR, 2019)

Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary. - Zhengming Ding; Ming Shao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Cross-Generation Kinship Verification with Sparse Discriminative Metric. - Shuyang Wang; Zhengming Ding; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Robust Discriminative Metric Learning for Image Representation. - Zhengming Ding; Ming Shao; Wonjun Hwang; Sungjoo Suh; Jae-Joon Han; Changkyu Choi; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Dual Low-Rank Decompositions for Robust Cross-View Learning. - Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2019)

Low-Rank Transfer Human Motion Segmentation. - Lichen Wang; Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2019)

Discerning Feature Supported Encoder for Image Representation. - Shuyang Wang; Zhengming Ding; Yun Fu 001 (IEEE Trans. Image Process., 2019)

Robust Spectral Ensemble Clustering via Rank Minimization. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2019)

Structure-Preserved Unsupervised Domain Adaptation. - Hongfu Liu 001; Ming Shao; Zhengming Ding; Yun Fu 001 (IEEE Trans. Knowl. Data Eng., 2019)

Deep Transfer Low-Rank Coding for Cross-Domain Learning. - Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning. - Kai Li 012; Zhengming Ding; Sheng Li 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Learning Representation for Multi-View Data Analysis - Models and Applications - Zhengming Ding; Handong Zhao; Yun Fu 001 (Springer, 2019)

Domain Conditioned Adaptation Network. - Shuang Li 008; Chi Harold Liu; Qiuxia Lin; Binhui Xie; Zhengming Ding; Gao Huang 001; Jian Tang 008 (AAAI, 2020)

Bi-Directional Generation for Unsupervised Domain Adaptation. - Guanglei Yang; Haifeng Xia; Mingli Ding; Zhengming Ding (AAAI, 2020)

Visual Tactile Fusion Object Clustering. - Tao Zhang 084; Yang Cong; Gan Sun; Qianqian Wang 001; Zhengming Ding (AAAI, 2020)

Structure Preserving Generative Cross-Domain Learning. - Haifeng Xia; Zhengming Ding (CVPR, 2020)

Adaptive Local Neighbors for Transfer Discriminative Feature Learning. - Wei Wang 335; Zhihui Wang 001; Haojie Li; Juan Zhou; Zhengming Ding (ECAI, 2020)

Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. - Yunyu Liu; Lichen Wang; Yue Bai; Can Qin; Zhengming Ding; Yun Fu 001 (ECCV (14), 2020)

HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation. - Haifeng Xia; Zhengming Ding (ECCV (27), 2020)

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. - Shuang Li 008; Binhui Xie; Jiashu Wu; Ying Zhao; Chi Harold Liu; Zhengming Ding (ACM Multimedia, 2020)

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. - Taotao Jing; Haifeng Xia; Zhengming Ding (ACM Multimedia, 2020)

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. - Jingjing Li 001; Mengmeng Jing; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (ACM Multimedia, 2020)

Generative Partial Multi-View Clustering. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (CoRR, 2020)

Sparsely-Labeled Source Assisted Domain Adaptation. - Wei Wang 335; Zhihui Wang 001; Yuankai Xiang; Jing Sun 012; Haojie Li; Fuming Sun; Zhengming Ding (CoRR, 2020)

Rethink Maximum Mean Discrepancy for Domain Adaptation. - Wei Wang 335; Haojie Li; Zhengming Ding; Zhihui Wang 001 (CoRR, 2020)

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation. - Taotao Jing; Ming Shao; Zhengming Ding (CoRR, 2020)

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. - Taotao Jing; Bingrong Xu; Jingjing Li 001; Zhengming Ding (CoRR, 2020)

Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization. - Shuhui Jiang; Zhengming Ding; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. - Chengcheng Jia; Zhengming Ding; Yu Kong 001; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Deep Decision Tree Transfer Boosting. - Shuhui Jiang; Haiyi Mao; Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification. - Shuang Li 008; Chi Harold Liu; Limin Su; Binhui Xie; Zhengming Ding; C. L. Philip Chen; Dapeng Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Marginalized Multiview Ensemble Clustering. - Zhiqiang Tao; Hongfu Liu 001; Sheng Li 001; Zhengming Ding; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Balanced Open Set Domain Adaptation via Centroid Alignment. - Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (AAAI, 2021)

Generative Partial Visual-Tactile Fused Object Clustering. - Tao Zhang 084; Yang Cong; Gan Sun; Jiahua Dong 001; Yuyang Liu; Zhengming Ding (AAAI, 2021)

Towards Novel Target Discovery Through Open-Set Domain Adaptation. - Taotao Jing; Hongfu Liu 001; Zhengming Ding (ICCV, 2021)

Adaptive Adversarial Network for Source-free Domain Adaptation. - Haifeng Xia; Handong Zhao; Zhengming Ding (ICCV, 2021)

3D Human Pose Estimation with Spatial and Temporal Transformers. - Ce Zheng; Sijie Zhu; Matías Mendieta; Taojiannan Yang; Chen Chen 001; Zhengming Ding (ICCV, 2021)

Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention. - Tina Chen; Renran Tian; Zhengming Ding (ICCVW, 2021)

Intelligent Highway Lane Center Identification from Surveillance Camera Video. - Mei Qiu; Stanley Y. P. Chien; Anup Atul Mulay; Lauren A. Christopher; Zhengming Ding; Yaobin Chen; Jim Sturdevant; Ed Cox (ITSC, 2021)

Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. - Haifeng Xia; Taotao Jing; Chen Chen 001; Zhengming Ding (ACM Multimedia, 2021)

Implicit Semantic Response Alignment for Partial Domain Adaptation. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (NeurIPS, 2021)

Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. - Taotao Jing; Zhengming Ding (WACV, 2021)

Towards Fair Cross-Domain Adaptation via Generative Learning. - Tongxin Wang; Zhengming Ding; Wei Shao 005; Haixu Tang; Kun Huang 001 (WACV, 2021)

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation. - Wei Wang 335; Baopu Li; Shuhui Yang; Jing Sun 012; Zhengming Ding; Junyang Chen 001; Xiao Dong; Zhihui Wang 001; Haojie Li (CoRR, 2021)

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Zheng Chen 016; Zhengming Ding; David Crandall; Lantao Liu (CoRR, 2021)

PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car. - Tina Chen; Renran Tian; Yaobin Chen; Joshua E. Domeyer; Heishiro Toyoda; Rini Sherony; Taotao Jing; Zhengming Ding (CoRR, 2021)

Maximum Density Divergence for Domain Adaptation. - Jingjing Li 001; Erpeng Chen; Zhengming Ding; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Deep Residual Correction Network for Partial Domain Adaptation. - Shuang Li 008; Chi Harold Liu; Qiuxia Lin; Qi Wen; Limin Su; Gao Huang 001; Zhengming Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Sparsely-labeled source assisted domain adaptation. - Wei Wang 335; Shenglun Chen; Yuankai Xiang; Jing Sun 012; Haojie Li; Zhihui Wang 001; Fuming Sun; Zhengming Ding; Baopu Li (Pattern Recognit., 2021)

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. - Jiahua Dong 001; Yang Cong; Gan Sun; Yunsheng Yang; Xiaowei Xu 001; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2021)

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation. - Taotao Jing; Bingrong Xu; Zhengming Ding (IEEE Trans. Image Process., 2021)

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency. - Qianqian Wang 001; Zhengming Ding; Zhiqiang Tao; Quanxue Gao; Yun Fu 001 (IEEE Trans. Image Process., 2021)

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Image Process., 2021)

Cross-Domain Collaborative Normalization via Structural Knowledge. - Haifeng Xia; Zhengming Ding (AAAI, 2022)

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. - Matías Mendieta; Taojiannan Yang; Pu Wang 001; Minwoo Lee 001; Zhengming Ding; Chen Chen 001 (CVPR, 2022)

InAction: Interpretable Action Decision Making for Autonomous Driving. - Taotao Jing; Haifeng Xia; Renran Tian; Haoran Ding; Xiao Luo 002; Joshua E. Domeyer; Rini Sherony; Zhengming Ding (ECCV (38), 2022)

Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. - Haifeng Xia; Pu Wang; Zhengming Ding (ECCV (34), 2022)

Adversarial Bi-Regressor Network for Domain Adaptive Regression. - Haifeng Xia; Pu Wang 004; Toshiaki Koike-Akino; Ye Wang 001; Philip V. Orlik; Zhengming Ding (IJCAI, 2022)

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. - Wenju Zhang; Xiang Zhang 008; Qing Liao 001; Long Lan; Mengzhu Wang; Wei Wang 335; Baoyun Peng; Zhengming Ding (CoRR, 2022)

Learnable Visual Words for Interpretable Image Recognition. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (CoRR, 2022)

Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (CoRR, 2022)

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. - Jingjing Li 001; Zhekai Du; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

What and How: Generalized Lifelong Spectral Clustering via Dual Memory. - Gan Sun; Yang Cong; Jiahua Dong 001; Yuyang Liu; Zhengming Ding; Haibin Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A zero-shot learning framework via cluster-prototype matching. - Jing Zhang 058; Qingyong Li; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Chuan Shi 001; Zhengming Ding (Pattern Recognit., 2022)

Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation. - Jing Sun 012; Zhihui Wang 001; Wei Wang 335; Haojie Li; Fuming Sun; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2022)

Continuous Multi-View Human Action Recognition. - Qiang Wang 015; Gan Sun; Jiahua Dong 001; Qianqian Wang 001; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2022)

Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval. - Taotao Jing; Haifeng Xia; Jihun Hamm; Zhengming Ding (IEEE Trans. Image Process., 2022)

Few-Shot Domain Adaptation via Mixup Optimal Transport. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Image Process., 2022)

Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation. - Lichen Wang; Zhengming Ding; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2022)

Vehicle and Person Re-Identification With Support Neighbor Loss. - Kai Li 012; Zhengming Ding; Kunpeng Li; Yulun Zhang 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. - Zhengming Zhang 002; Renran Tian; Zhengming Ding (AAAI, 2023)

Mining Label Distribution Drift in Unsupervised Domain Adaptation. - Peizhao Li; Zhengming Ding; Hongfu Liu 001 (AI (1), 2023)

Personalized Semantics Excitation for Federated Image Classification. - Haifeng Xia; Kai Li 012; Zhengming Ding (ICCV, 2023)

Few-Shot Video Classification via Representation Fusion and Promotion Learning. - Haifeng Xia; Kai Li 012; Martin Renqiang Min; Zhengming Ding (ICCV, 2023)

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (IJCAI, 2023)

IDA: Informed Domain Adaptive Semantic Segmentation. - Zheng Chen 016; Zhengming Ding; Jason M. Gregory; Lantao Liu (IROS, 2023)

Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation. - Wenxiao Xiao; Zhengming Ding; Hongfu Liu 001 (CoRR, 2023)

CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data. - Chen Zhao; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (CoRR, 2023)

Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification? - Janet Wang; Yunbei Zhang; Zhengming Ding; Jihun Hamm (CoRR, 2023)

Generative Inference Network for Imbalanced Domain Generalization. - Haifeng Xia; Taotao Jing; Zhengming Ding (IEEE Trans. Image Process., 2023)

Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation. - Wei Wang 335; Haojie Li; Zhengming Ding; Feiping Nie 001; Junyang Chen 001; Xiao Dong; Zhihui Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Hierarchical Lifelong Machine Learning With "Watchdog". - Gan Sun; Yang Cong; Changjun Gu; Xu Tang; Zhengming Ding; Haibin Yu (IEEE Trans. Big Data, 2023)

Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception. - Yuyang Liu; Yang Cong; Gan Sun; Zhengming Ding (IEEE Trans. Circuits Syst. Video Technol., 2023)

Attention-Based Interrelation Modeling for Explainable Automated Driving. - Zhengming Zhang 002; Renran Tian; Rini Sherony; Joshua E. Domeyer; Zhengming Ding (IEEE Trans. Intell. Veh., 2023)

Generative Multi-Label Correlation Learning. - Lichen Wang; Zhengming Ding; Kasey Lee; Seungju Han 001; Jae-Joon Han; Changkyu Choi; Yun Fu 001 (ACM Trans. Knowl. Discov. Data, 2023)

Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. - Haifeng Xia; Taotao Jing; Zhengming Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. - Zheng Chen 016; Zhengming Ding; David J. Crandall; Lantao Liu (IEEE Robotics Autom. Lett., 2023)

Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer. - Yucai Bai; Qin Zou 001; Xieyuanli Chen; Lingxi Li 001; Zhengming Ding; Long Chen 005 (Int. J. Comput. Vis., 2023)

Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. - Xin Hu; Kai Li 012; Deep Patel; Erik Kruus; Martin Renqiang Min; Zhengming Ding (CVPR Workshops, 2024)

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation. - Janet Wang; Yunbei Zhang; Zhengming Ding; Jihun Hamm (CVPR Workshops, 2024)

Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. - Haifeng Xia; Siyu Xia; Zhengming Ding (CVPR, 2024)

A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban Scenario. - Zhengming Zhang 002; Vincent G. Duffy; Mark R. Lehto; Zhengming Ding; Renran Tian (HCI (70), 2024)

Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists. - Zhengming Zhang 002; Zhengming Ding; Yaobin Chen; Stanley Y. P. Chien; Lingxi Li 001; Rini Sherony; Joshua E. Domeyer; Renran Tian (ITSC, 2024)

From Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis. - Janet Wang; Yunsung Chung; Zhengming Ding; Jihun Hamm (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling. - Kang Shen; Haifeng Xia; Guangxing Geng; Guangyue Geng; Siyu Xia; Zhengming Ding (ACM Multimedia, 2024)

Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. - Wangguandong Zheng; Haifeng Xia; Rui Chen; Libo Sun; Ming Shao; Siyu Xia; Zhengming Ding (ACM Multimedia, 2024)

iBARLE: imBalance-Aware Room Layout Estimation. - Taotao Jing; Lichen Wang; Naji Khosravan; Zhiqiang Wan; Zachary Bessinger; Zhengming Ding; Sing Bing Kang (WACV, 2024)

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies. - Gang Qu 002; Anton Orlichenko; Junqi Wang 001; Gemeng Zhang; Li Xiao 002; Aiying Zhang; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis. - Ziyu Zhou; Anton Orlichenko; Gang Qu 002; Zening Fu; Vince D. Calhoun; Zhengming Ding; Yu-Ping Wang 002 (CoRR, 2024)

Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. - Wangguandong Zheng; Haifeng Xia; Rui Chen; Ming Shao; Siyu Xia; Zhengming Ding (CoRR, 2024)

GCC: Generative Calibration Clustering. - Haifeng Xia; Hai Huang; Zhengming Ding (CoRR, 2024)

A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds. - Anton Orlichenko; Gang Qu 002; Ziyu Zhou; Anqi Liu; Hong-Wen Deng; Zhengming Ding; Julia M. Stephen; Tony W. Wilson; Vince D. Calhoun; Yu-Ping Wang 002 (CoRR, 2024)

Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment. - Xin Hu; Janet Wang; Jihun Hamm; Rie Roselyne Yotsu; Zhengming Ding (CoRR, 2024)

Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation. - Qucheng Peng; Ce Zheng; Zhengming Ding; Pu Wang 001; Chen Chen 001 (CoRR, 2024)

Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention. - Zhengming Zhang 002; Zhengming Ding; Renran Tian (IEEE Trans. Image Process., 2024)

CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. - Chen Zhao; Anqi Liu; Xiao Zhang; Xuewei Cao; Zhengming Ding; Qiuying Sha; Hui Shen 007; Hong-Wen Deng; Weihua Zhou (Comput. Biol. Medicine, 2024)

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. - Jiahua Dong 001; Yang Cong; Gan Sun; Zhen Fang 001; Zhengming Ding (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Differential Refinement Network for Zero-Shot Learning. - Yi Tian; Yilei Zhang; Yaping Huang; Wanru Xu; Zhengming Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning. - Duran Bao; Qingbo Shu; Bo Ning; Michael Tang; Yubing Liu; Noel Wong; Zhengming Ding; Zizhan Zheng; Christopher J. Lyon; Tony Hu; Jia Fan (Adv. Intell. Syst., 2024)

Create Your World: Lifelong Text-to-Image Diffusion. - Gan Sun; Wenqi Liang; Jiahua Dong 001; Jun Li 027; Zhengming Ding; Yang Cong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Marginalized Augmented Few-Shot Domain Adaptation. - Taotao Jing; Haifeng Xia; Jihun Hamm; Zhengming Ding (IEEE Trans. Neural Networks Learn. Syst., 2024)

Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation. - Kexin Zheng; Haifeng Xia; Siyu Xia; Ming Shao; Zhengming Ding (AAAI, 2025)

Attribute-Missing Multi-view Graph Clustering. - Bowen Zhao; Qianqian Wang 001; Zhengming Ding; Quanxue Gao (CVPR, 2025)

IPNet: Interpretable Prototype Network for Multi-Source Domain Adaptation. - Rui Chen; Haifeng Xia; Siyu Xia; Ming Shao; Zhengming Ding (ICASSP, 2025)

Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM. - Xin Hu; Janet Wang; Jihun Hamm; Rie Roselyne Yotsu; Zhengming Ding (WACV, 2025)

Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation. - Wei Wang 335; Hanyang Li; Cong Wang 018; Chao Huang 008; Zhengming Ding; Feiping Nie 001; Xiaochun Cao (IEEE Trans. Image Process., 2025)

Generative Mixup Networks for Zero-Shot Learning. - Bingrong Xu; Zhigang Zeng; Cheng Lian; Zhengming Ding (IEEE Trans. Neural Networks Learn. Syst., 2025)

Interpretable Novel Target Discovery through Open-Set Domain Adaptation. - Taotao Jing; Haifeng Xia; Hongfu Liu 002; Zhengming Ding (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback. - Janet Wang; Yunbei Zhang; Zhengming Ding; Jihun Hamm (CoRR, 2025)

Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding. - Jiarui Li; Zixiang Yin; Haley Smith; Zhengming Ding; Samuel J. Landry; Ramgopal R. Mettu (CoRR, 2025)

MindReaD: Enhancing Pedestrian-Vehicle Interaction with Micro-Level Reasoning Data Annotation. - Md. Fazle Elahi Khan; Taotao Jing; Zhengming Ding; Renran Tian (Int. J. Hum. Comput. Interact., 2025)