Zhengming Ding

According to our database, Zhengming Ding authored at least 152 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Differential Refinement Network for Zero-Shot Learning.

Yi Tian, Yilei Zhang, Yaping Huang, Wanru Xu, Zhengming Ding

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.

Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding

IEEE Trans. Pattern Anal. Mach. Intell., March, 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, Hong-Wen Deng, Weihua Zhou

Comput. Biol. Medicine, March, 2024

Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.

Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang

CoRR, 2024

iBARLE: imBalance-Aware Room Layout Estimation.

Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer.

Yucai Bai, Qin Zou, Xieyuanli Chen, Lingxi Li, Zhengming Ding, Long Chen

Int. J. Comput. Vis., June, 2023

Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation.

Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu

IEEE Robotics Autom. Lett., April, 2023

Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation.

Haifeng Xia, Taotao Jing, Zhengming Ding

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Generative Multi-Label Correlation Learning.

Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu

ACM Trans. Knowl. Discov. Data, February, 2023

Attention-Based Interrelation Modeling for Explainable Automated Driving.

Zhengming Zhang, Renran Tian, Rini Sherony, Joshua E. Domeyer, Zhengming Ding

IEEE Trans. Intell. Veh., February, 2023

Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception.

Yuyang Liu, Yang Cong, Gan Sun, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., February, 2023

Hierarchical Lifelong Machine Learning With "Watchdog".

Gan Sun, Yang Cong, Changjun Gu, Xu Tang, Zhengming Ding, Haibin Yu

IEEE Trans. Big Data, February, 2023

Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation.

Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang

IEEE Trans. Neural Networks Learn. Syst., 2023

Generative Inference Network for Imbalanced Domain Generalization.

Haifeng Xia, Taotao Jing, Zhengming Ding

IEEE Trans. Image Process., 2023

Create Your World: Lifelong Text-to-Image Diffusion.

Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong

CoRR, 2023

Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification?

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

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, Hong-Wen Deng, Weihua Zhou

CoRR, 2023

Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

CoRR, 2023

IDA: Informed Domain Adaptive Semantic Segmentation.

Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu

IROS, 2023

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.

Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Few-Shot Video Classification via Representation Fusion and Promotion Learning.

Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Personalized Semantics Excitation for Federated Image Classification.

Haifeng Xia, Kai Li, Zhengming Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Mining Label Distribution Drift in Unsupervised Domain Adaptation.

Peizhao Li, Zhengming Ding, Hongfu Liu

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty.

Zhengming Zhang, Renran Tian, Zhengming Ding

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Vehicle and Person Re-Identification With Support Neighbor Loss.

Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2022

Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation.

Lichen Wang, Zhengming Ding, Yun Fu

ACM Trans. Knowl. Discov. Data, 2022

Few-Shot Domain Adaptation via Mixup Optimal Transport.

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 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

Continuous Multi-View Human Action Recognition.

Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2022

Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation.

Jing Sun, Zhihui Wang, Wei Wang, Haojie Li, Fuming Sun, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2022

A zero-shot learning framework via cluster-prototype matching.

Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding

Pattern Recognit., 2022

What and How: Generalized Lifelong Spectral Clustering via Dual Memory.

Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.

Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation.

Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

CoRR, 2022

Learnable Visual Words for Interpretable Image Recognition.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

CoRR, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.

Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding

CoRR, 2022

Adversarial Bi-Regressor Network for Domain Adaptive Regression.

Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer.

Haifeng Xia, Pu Wang, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

InAction: Interpretable Action Decision Making for Autonomous Driving.

Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua E. Domeyer, Rini Sherony, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.

Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Domain Collaborative Normalization via Structural Knowledge.

Haifeng Xia, Zhengming Ding

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Bingrong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding

IEEE Trans. Image Process., 2021

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

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

IEEE Trans. Image Process., 2021

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.

Taotao Jing, Bingrong Xu, Zhengming Ding

IEEE Trans. Image Process., 2021

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

Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding

IEEE Trans. Circuits Syst. Video Technol., 2021

Sparsely-labeled source assisted domain adaptation.

Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li

Pattern Recognit., 2021

Deep Residual Correction Network for Partial Domain Adaptation.

Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Maximum Density Divergence for Domain Adaptation.

Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen

IEEE Trans. Pattern Anal. Mach. Intell., 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

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation.

Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu

CoRR, 2021

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation.

Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li

CoRR, 2021

Towards Fair Cross-Domain Adaptation via Generative Learning.

Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation.

Taotao Jing, Zhengming Ding

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Implicit Semantic Response Alignment for Partial Domain Adaptation.

Wenxiao Xiao, Zhengming Ding, Hongfu Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning.

Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention.

Tina Chen, Renran Tian, Zhengming Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

3D Human Pose Estimation with Spatial and Temporal Transformers.

Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Adversarial Network for Source-free Domain Adaptation.

Haifeng Xia, Handong Zhao, Zhengming Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Novel Target Discovery Through Open-Set Domain Adaptation.

Taotao Jing, Hongfu Liu, Zhengming Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generative Partial Visual-Tactile Fused Object Clustering.

Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Balanced Open Set Domain Adaptation via Centroid Alignment.

Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Marginalized Multiview Ensemble Clustering.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep Decision Tree Transfer Boosting.

Shuhui Jiang, Haiyi Mao, Zhengming Ding, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu

IEEE Trans. Circuits Syst. Video Technol., 2020

Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization.

Shuhui Jiang, Zhengming Ding, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.

Taotao Jing, Bingrong Xu, Jingjing Li, Zhengming Ding

CoRR, 2020

Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation.

Taotao Jing, Ming Shao, Zhengming Ding

CoRR, 2020

Rethink Maximum Mean Discrepancy for Domain Adaptation.

Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang

CoRR, 2020

Sparsely-Labeled Source Assisted Domain Adaptation.

Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding

CoRR, 2020

Generative Partial Multi-View Clustering.

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

CoRR, 2020

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

Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation.

Taotao Jing, Haifeng Xia, Zhengming Ding

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.

Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation.

Haifeng Xia, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu

Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Local Neighbors for Transfer Discriminative Feature Learning.

Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Structure Preserving Generative Cross-Domain Learning.

Haifeng Xia, Zhengming Ding

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Visual Tactile Fusion Object Clustering.

Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bi-Directional Generation for Unsupervised Domain Adaptation.

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Domain Conditioned Adaptation Network.

Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Representation for Multi-View Data Analysis - Models and Applications

Zhengming Ding, Handong Zhao, Yun Fu

Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-030-00733-1, 2019

Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning.

Kai Li, Zhengming Ding, Sheng Li, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Transfer Low-Rank Coding for Cross-Domain Learning.

Zhengming Ding, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2019

Structure-Preserved Unsupervised Domain Adaptation.

Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu

IEEE Trans. Knowl. Data Eng., 2019

Robust Spectral Ensemble Clustering via Rank Minimization.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

ACM Trans. Knowl. Discov. Data, 2019

Discerning Feature Supported Encoder for Image Representation.

Shuyang Wang, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2019

Low-Rank Transfer Human Motion Segmentation.

Lichen Wang, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2019

Dual Low-Rank Decompositions for Robust Cross-View Learning.

Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2019

Robust Discriminative Metric Learning for Image Representation.

Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu

IEEE Trans. Circuits Syst. Video Technol., 2019

Cross-Generation Kinship Verification with Sparse Discriminative Metric.

Shuyang Wang, Zhengming Ding, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

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

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Probabilistic Filtered Soft Labels for Domain Adaptation.

Wei Wang, Zhihui Wang, Haojie Li, Zhengming Ding

CoRR, 2019

Generative One-Shot Face Recognition.

Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu

CoRR, 2019

Robust Knowledge Discovery via Low-rank Modeling.

Zhengming Ding, Ming Shao

CoRR, 2019

Consensus Clustering: An Embedding Perspective, Extension and Beyond.

Hongfu Liu, Zhiqiang Tao, Zhengming Ding

CoRR, 2019

Knowledge Reused Outlier Detection.

Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu

IEEE Access, 2019

Cycle-consistent Conditional Adversarial Transfer Networks.

Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Joint Adversarial Domain Adaptation.

Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Generative Correlation Discovery Network for Multi-label Learning.

Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Multi-Task Clustering for Human Motion Segmentation.

Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Multi-View Human Action Recognition.

Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Leveraging the Invariant Side of Generative Zero-Shot Learning.

Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Marginalized Latent Semantic Encoder for Zero-Shot Learning.

Zhengming Ding, Hongfu Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Incomplete Multisource Transfer Learning.

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Multiview Data Analysis Through Collective Low-Rank Subspace.

Zhengming Ding, Yun Fu

IEEE Trans. Neural Networks Learn. Syst., 2018

Consensus Regularized Multi-View Outlier Detection.

Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2018

Marginalized Denoising Dictionary Learning With Locality Constraint.

Shuyang Wang, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2018

Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.

Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu

IEEE Trans. Image Process., 2018

Semi-supervised Deep Domain Adaptation via Coupled Neural Networks.

Zhengming Ding, Nasser M. Nasrabadi, Yun Fu

IEEE Trans. Image Process., 2018

Deep Domain Generalization With Structured Low-Rank Constraint.

Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2018

Ensemble Subspace Segmentation Under Blockwise Constraints.

Handong Zhao, Zhengming Ding, Yun Fu

IEEE Trans. Circuits Syst. Video Technol., 2018

Support Neighbor Loss for Person Re-Identification.

Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Adaptive Graph Guided Embedding for Multi-label Annotation.

Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Partial Multi-view Clustering via Consistent GAN.

Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2018

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification.

Zhengming Ding, Ming Shao, Sheng Li, Yun Fu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Kinship Classification through Latent Adaptive Subspace.

Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

One-Shot Face Recognition via Generative Learning.

Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation.

Zhengming Ding, Sheng Li, Ming Shao, Yun Fu

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Transferable Subspace for Human Motion Segmentation.

Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

Kai Li, Zhengming Ding, Sheng Li, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Latent Discriminant Subspace Representations for Multi-View Outlier Detection.

Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Yu Kong, Zhengming Ding, Jun Li, Yun Fu

IEEE Trans. Image Process., 2017

Robust Transfer Metric Learning for Image Classification.

Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2017

Deep Active Learning Through Cognitive Information Parcels.

Wencang Zhao, Yu Kong, Zhengming Ding, Yun Fu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

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

Shuhui Jiang, Zhengming Ding, Yun Fu

Proceedings of the 2017 ACM on Multimedia Conference, 2017

From Ensemble Clustering to Multi-View Clustering.

Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-View Clustering via Deep Matrix Factorization.

Handong Zhao, Zhengming Ding, Yun Fu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Feature Selection Guided Auto-Encoder.

Shuyang Wang, Zhengming Ding, Yun Fu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Transfer learning for image classification with incomplete multiple sources.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Shuyang Wang, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Task-driven deep transfer learning for image classification.

Zhengming Ding, Nasser M. Nasrabadi, Yun Fu

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Computer Vision - ECCV 2016, 2016

Pose-Dependent Low-Rank Embedding for Head Pose Estimation.

Handong Zhao, Zhengming Ding, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

Zhengming Ding, Yun Fu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Missing Modality Transfer Learning via Latent Low-Rank Constraint.

Zhengming Ding, Ming Shao, Yun Fu

IEEE Trans. Image Process., 2015

Deep Linear Coding for Fast Graph Clustering.

Ming Shao, Sheng Li, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Deep Low-Rank Coding for Transfer Learning.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

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

Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Block-wise constrained sparse graph for face image representation.

Handong Zhao, Zhengming Ding, Yun Fu

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

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

Ming Shao, Zhengming Ding, Yun Fu

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Discriminative low-rank metric learning for face recognition.

Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

Latent Tensor Transfer Learning for RGB-D Action Recognition.

Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Low-Rank Common Subspace for Multi-view Learning.

Zhengming Ding, Yun Fu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition.

Zhengming Ding, Ming Shao, Yun Fu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Locally connected graph for visual tracking.

Ke Lu, Zhengming Ding, Sam S. Ge

Neurocomputing, 2013

2012

Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition.

Ke Lu, Zhengming Ding, Sam S. Ge

IEEE Trans. Intell. Transp. Syst., 2012

Locally connected graph embedding for semisupervised image classification.

Ke Lu, Zhengming Ding, Jidong Zhao

J. Electronic Imaging, 2012