Zhengming Ding

发表

Ensemble Subspace Segmentation Under Blockwise Constraints

Yun Fu, Handong Zhao, Zhengming Ding, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Deep multi-factor forensic face recognition

Zhengming Ding, Zhengming Ding, 2018 .

Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary

Ming Shao, Yun Fu, Zhengming Ding, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mining Label Distribution Drift in Unsupervised Domain Adaptation pdf

Hongfu Liu, Zhengming Ding, Peizhao Li, 2020, ArXiv.

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation

Zhengming Ding, Taotao Jing, Haifeng Xia, 2020, ACM Multimedia.

Support Neighbor Loss for Person Re-Identification

Yun Fu, Kai Li, Zhengming Ding, 2018, ACM Multimedia.

Feature Selection Guided Auto-Encoder

Yun Fu, Zhengming Ding, Shuyang Wang, 2017, AAAI.

Multi-view Clustering with Partial Information

Yun Fu, Handong Zhao, Zhengming Ding, 2019 .

Cycle-consistent Conditional Adversarial Transfer Networks

Zi Huang, Ke Lu, Zhengming Ding, 2019, ACM Multimedia.

Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning

Yun Fu, Sheng Li, Kai Li, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Latent Discriminant Subspace Representations for Multi-View Outlier Detection

Yun Fu, Kai Li, Zhengming Ding, 2018, AAAI.

Vehicle and Person Re-Identification With Support Neighbor Loss

Kai Li, Zhengming Ding, Yulun Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification

Ming Shao, Yun Fu, Sheng Li, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

Domain Conditioned Adaptation Network pdf

Chi Harold Liu, Zhengming Ding, Jian Tang, 2020, AAAI.

Low-Rank Transfer Human Motion Segmentation

Yun Fu, Zhengming Ding, Lichen Wang, 2019, IEEE Transactions on Image Processing.

Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning

Ming Shao, Yun Fu, Handong Zhao, 2015, 2015 IEEE International Conference on Data Mining.

Deep Transfer Low-Rank Coding for Cross-Domain Learning

Yun Fu, Zhengming Ding, Y. Fu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Discriminative low-rank metric learning for face recognition

Yun Fu, Zhengming Ding, Jae-Joon Han, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Deep Linear Coding for Fast Graph Clustering

Ming Shao, Yun Fu, Zhengming Ding, 2015, IJCAI.

Task-driven deep transfer learning for image classification

Yun Fu, Nasser M. Nasrabadi, Zhengming Ding, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deeply Learned View-Invariant Features for Cross-View Action Recognition

Jun Li, Yun Fu, Zhengming Ding, 2017, IEEE Transactions on Image Processing.

Latent Low-Rank Bi-Directional Transfer Subspace Learning

Ming Shao, Yun Fu, Zhengming Ding, 2014, AAAI 2014.

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification

Yun Fu, Kai Li, Zhengming Ding, 2018, AAAI.

Deep Domain Generalization

Yun Fu, Handong Zhao, Zhengming Ding, 2019 .

Generative One-Shot Face Recognition pdf

Yandong Guo, Lei Zhang, Zhengming Ding, 2019, ArXiv.

Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning

Zhengming Ding, Yu Kong, Chengcheng Jia, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Multi-view Outlier Detection

Yun Fu, Handong Zhao, Zhengming Ding, 2018, Learning Representation for Multi-View Data Analysis.

Robust Spectral Ensemble Clustering via Rank Minimization

Yun Fu, Hongfu Liu, Zhengming Ding, 2019, ACM Trans. Knowl. Discov. Data.

RGB-D Action Recognition

Zhengming Ding, Yun Fu, Chengcheng Jia, 2016 .

Robust Discriminative Metric Learning for Image Representation

Ming Shao, Yun Fu, Wonjun Hwang, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Deep Domain Generalization With Structured Low-Rank Constraint

Yun Fu, Zhengming Ding, Y. Fu, 2018, IEEE Transactions on Image Processing.

Kinship Classification through Latent Adaptive Subspace

Yun Fu, Hongfu Liu, Yue Wu, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Marginalized Multiview Ensemble Clustering

Yun Fu, Sheng Li, Zhengming Ding, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Video-based face recognition

Ke Lu, Zhengming Ding, Yue Wu, 2010, 2010 3rd International Congress on Image and Signal Processing.

Video-based Face Recognition using Tensor and Feedback

Zhengming Ding, Jidong Zhao, 2013 .

Knowledge Reused Outlier Detection

Chunming Hu, Zhengming Ding, Weiren Yu, 2019, IEEE Access.

Low-Rank Common Subspace for Multi-view Learning

Yun Fu, Zhengming Ding, Y. Fu, 2014, 2014 IEEE International Conference on Data Mining.

Adaptive Local Neighbors for Transfer Discriminative Feature Learning

Haojie Li, Zhengming Ding, Zhihui Wang, 2020, ECAI.

Manifold-based face gender recognition for video

Zhengming Ding, Yanjiao Ma, 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

Adaptive Graph Guided Embedding for Multi-label Annotation

Yun Fu, Zhengming Ding, Lichen Wang, 2018, IJCAI.

Consensus Regularized Multi-View Outlier Detection

Yun Fu, Hongfu Liu, Handong Zhao, 2018, IEEE Transactions on Image Processing.

Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning

Zhengming Ding, Yue Bai, Yun Fu, 2020, ECCV.

Learning Robust Data Representation: A Knowledge Flow Perspective

Handong Zhao, Zhengming Ding, Sheng Li, 2019 .

Multi-view Transformation Learning

Yun Fu, Handong Zhao, Zhengming Ding, 2019 .

Robust Multiview Data Analysis Through Collective Low-Rank Subspace

Zhengming Ding, Yun Fu, Y. Fu, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Zero-Shot Learning

Yun Fu, Handong Zhao, Zhengming Ding, 2019 .

Consensus Clustering: An Embedding Perspective, Extension and Beyond pdf

Zhengming Ding, Zhiqiang Tao, Hongfu Liu, 2019, ArXiv.

Pose-Dependent Low-Rank Embedding for Head Pose Estimation

Yun Fu, Handong Zhao, Zhengming Ding, 2016, AAAI.

One-Shot Face Recognition via Generative Learning

Lei Zhang, Yandong Guo, Yun Fu, 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).

Missing Modality Transfer Learning via Latent Low-Rank Constraint

Ming Shao, Yun Fu, Zhengming Ding, 2015, IEEE Transactions on Image Processing.

Leveraging the Invariant Side of Generative Zero-Shot Learning

Zi Huang, Ke Lu, Jingjing Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption

Ming Shao, Yun Fu, Zhengming Ding, 2018, IJCAI.

Online Multi-Task Clustering for Human Motion Segmentation

Zhengming Ding, Gan Sun, Lichen Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

Cheng Wu, Zhengming Ding, Gao Huang, 2018, IEEE Transactions on Image Processing.

Multi-view Clustering with Complete Information

Yun Fu, Handong Zhao, Zhengming Ding, 2018, Learning Representation for Multi-View Data Analysis.

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency pdf

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, 2020, IEEE Transactions on Image Processing.

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation pdf

Zhengming Ding, Jingjing Li, Taotao Jing, 2020, ArXiv.

Sparse low-rank fusion based deep features for missing modality face recognition

Ming Shao, Yun Fu, Zhengming Ding, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Zhengming Ding, 2018, ECCV.

Incomplete Multisource Transfer Learning

Ming Shao, Yun Fu, Zhengming Ding, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Handong Zhao, 2016, AAAI.

Locally connected graph for visual tracking

Ke Lu, Zhengming Ding, Sam Ge, 2013, Neurocomputing.

Missing Modality Transfer Learning

Yun Fu, Handong Zhao, Zhengming Ding, 2019 .

Discerning Feature Supported Encoder for Image Representation

Yun Fu, Zhengming Ding, Shuyang Wang, 2019, IEEE Transactions on Image Processing.

Deep transfer learning for automatic target classification: MWIR to LWIR

Yun Fu, Nasser M. Nasrabadi, Zhengming Ding, 2016, SPIE Defense + Security.

MORONET: Multi-omics Integration via Graph Convolutional Networks for Biomedical Data Classification

Zhi Huang, Kun Huang, Zhengming Ding, 2020, bioRxiv.

Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition

Ke Lu, Zhengming Ding, Sam Ge, 2012, IEEE Transactions on Intelligent Transportation Systems.

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation

Zhengming Ding, Ying Zhao, Shuang Li, 2020, ACM Multimedia.

Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary

Ming Shao, Yun Fu, Zhengming Ding, 2016, ECCV.

Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation

Yun Fu, Zhengming Ding, Shuhui Jiang, 2017, ACM Multimedia.

Multi-View Clustering via Deep Matrix Factorization

Yun Fu, Handong Zhao, Zhengming Ding, 2017, AAAI.

Joint Adversarial Domain Adaptation

Zhengming Ding, Gao Huang, Binhui Xie, 2019, ACM Multimedia.

Probabilistic Filtered Soft Labels for Domain Adaptation

Haojie Li, Zhengming Ding, Wei Wang, 2019, ArXiv.

Towards Fair Cross-Domain Adaptation via Generative Learning pdf

Zhengming Ding, Kun Huang, Wei Shao, 2020, ArXiv.

Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification

Dapeng Wu, Zhengming Ding, C L Philip Chen, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation pdf

Zhengming Ding, Taotao Jing, Ming Shao, 2020, ArXiv.

Deep Active Learning Through Cognitive Information Parcels

Yun Fu, Zhengming Ding, Yu Kong, 2017, ACM Multimedia.

Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning

Ming Shao, Yun Fu, Zhengming Ding, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Decision Tree Transfer Boosting

Yun Fu, Zhengming Ding, Shuhui Jiang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Deep Residual Correction Network for Partial Domain Adaptation

Zhengming Ding, Qi Wen, Gao Huang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition

Ming Shao, Yun Fu, Zhengming Ding, 2014, AAAI.

Block-wise constrained sparse graph for face image representation

Yun Fu, Handong Zhao, Zhengming Ding, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Sparsely-Labeled Source Assisted Domain Adaptation pdf

Haojie Li, Zhengming Ding, Wei Wang, 2020, Pattern Recognit..

Learning Representation for Multi-View Data Analysis

Yun Fu, Handong Zhao, Zhengming Ding, 2019, Advanced Information and Knowledge Processing.

HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation

Zhengming Ding, Haifeng Xia, 2020, ECCV.

Structure Preserving Generative Cross-Domain Learning

Zhengming Ding, Haifeng Xia, Zhengming Ding, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

From Ensemble Clustering to Multi-View Clustering

Yun Fu, Hongfu Liu, Zhengming Ding, 2017, IJCAI.

Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization

Yun Fu, Zhengming Ding, Shuhui Jiang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions

Yun Fu, Zhengming Ding, Y. Fu, 2016, AAAI.

Deep Low-Rank Coding for Transfer Learning

Ming Shao, Yun Fu, Zhengming Ding, 2015, IJCAI.

Generative Correlation Discovery Network for Multi-label Learning

Zhengming Ding, Yun Fu, Lichen Wang, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Latent Tensor Transfer Learning for RGB-D Action Recognition

Zhengming Ding, Yu Kong, Yun Raymond Fu, 2014, ACM Multimedia.

Rethink Maximum Mean Discrepancy for Domain Adaptation pdf

Haojie Li, Zhengming Ding, Wei Wang, 2020, ArXiv.

Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning

Yun Fu, Zhengming Ding, Shuyang Wang, 2016, IJCAI.

Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation pdf

Zhengming Ding, Taotao Jing, Zhengming Ding, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Domain Adaptation

Yun Fu, Handong Zhao, Zhengming Ding, 2018, Learning Representation for Multi-View Data Analysis.

Dual Low-Rank Decompositions for Robust Cross-View Learning

Yun Fu, Zhengming Ding, 2019, IEEE Transactions on Image Processing.

Robust Knowledge Discovery via Low-rank Modeling pdf

Zhengming Ding, Ming Shao, 2019, ArXiv.

Bi-Directional Generation for Unsupervised Domain Adaptation pdf

Mingli Ding, Zhengming Ding, Haifeng Xia, 2020, AAAI.

Multi-source Transfer Learning

Yun Fu, Handong Zhao, Zhengming Ding, 2018, Learning Representation for Multi-View Data Analysis.

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation

Haojie Li, Baopu Li, Zhengming Ding, 2021, ArXiv.

Maximum Density Divergence for Domain Adaptation

Heng Tao Shen, Zhengming Ding, Jingjing Li, 2020, IEEE transactions on pattern analysis and machine intelligence.

Learning Transferable Subspace for Human Motion Segmentation

Yun Fu, Zhengming Ding, Lichen Wang, 2018, AAAI.

Marginalized Denoising Dictionary Learning With Locality Constraint

Yun Fu, Zhengming Ding, Shuyang Wang, 2018, IEEE Transactions on Image Processing.

Generative Multi-View Human Action Recognition

Yun Fu, Zhengming Ding, Lichen Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Cross-Generation Kinship Verification with Sparse Discriminative Metric

Yun Fu, Zhengming Ding, Shuyang Wang, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A novel semi-supervised face recognition for video

Ke Lu, Zhengming Ding, Yue Wu, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Transfer learning for image classification with incomplete multiple sources

Ming Shao, Yun Fu, Zhengming Ding, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Partial Multi-view Clustering via Consistent GAN

Yun Fu, Zhengming Ding, Qianqian Wang, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Robust Transfer Metric Learning for Image Classification

Yun Fu, Zhengming Ding, Y. Fu, 2017, IEEE Transactions on Image Processing.

Generative Partial Visual-Tactile Fused Object Clustering pdf

Zhengming Ding, Jiahua Dong, Gan Sun, 2020, ArXiv.

Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation pdf

Xiaowei Xu, Zhengming Ding, Jiahua Dong, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Locally connected graph embedding for semisupervised image classification

Ke Lu, Zhengming Ding, Jidong Zhao, 2012, J. Electronic Imaging.

Marginalized Latent Semantic Encoder for Zero-Shot Learning

Zhengming Ding, Hongfu Liu, Zhengming Ding, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Structure-Preserved Unsupervised Domain Adaptation

Ming Shao, Yun Fu, Hongfu Liu, 2019, IEEE Transactions on Knowledge and Data Engineering.

Semi-supervised Deep Domain Adaptation via Coupled Neural Networks

Yun Fu, Zhengming Ding, Nasser M. Nasrabadi, 2018, IEEE Transactions on Image Processing.

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning

Lei Zhu, Zhengming Ding, Jingjing Li, 2020, ACM Multimedia.

PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car pdf

Joshua E. Domeyer, Zhengming Ding, Renran Tian, 2021, ArXiv.

Towards Novel Target Discovery Through Open-Set Domain Adaptation pdf

Zhengming Ding, Taotao Jing, Hong Liu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Balanced Open Set Domain Adaptation via Centroid Alignment

Zhengming Ding, Jingjing Li, Lei Zhu, 2021, AAAI.

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning pdf

Zhengming Ding, Taojiannan Yang, Minwoo Lee, 2021, ArXiv.

Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation

Yun Fu, Zhengming Ding, Lichen Wang, 2021, ACM Trans. Knowl. Discov. Data.

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation

Zhengming Ding, Jingjing Li, Taotao Jing, 2020, IEEE Transactions on Image Processing.

Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency

Yun Fu, Zhengming Ding, Zhiqiang Tao, 2021, IEEE Transactions on Image Processing.

Generative Partial Visual-Tactile Fused Object Clustering

Zhengming Ding, Jiahua Dong, Gan Sun, 2020, AAAI.

Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning

Zhengming Ding, Haifeng Xia, Taotao Jing, 2021, ACM Multimedia.

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation pdf

David J. Crandall, Zhengming Ding, Lantao Liu, 2021, ArXiv.

Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation

Haojie Li, Zhengming Ding, Zhihui Wang, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

3D Human Pose Estimation with Spatial and Temporal Transformers pdf

Zhengming Ding, Sijie Zhu, Taojiannan Yang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Intelligent Highway Lane Center Identification from Surveillance Camera Video

Zhengming Ding, Stanley Chien, Lauren Christopher, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning

Zhigang Zeng, Zhengming Ding, Cheng Lian, 2021, IEEE Transactions on Image Processing.

What and How: Generalized Lifelong Spectral Clustering via Dual Memory

Haibin Yu, Zhengming Ding, Jiahua Dong, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.