Year 2024
[C-2] Haifeng Xia, Siyu Xia, Zhengming Ding. Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[C-1] Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger,Zhengming Ding, and Sing Bing Kang. iBARLE: imBalance-Aware Room Layout Estimation. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.
Year 2023
[C-4] Haifeng Xia, Kai Li, Martin Renqiang Min and Zhengming Ding. Few-Shot Video Classification via Representation Fusion and Promotion Learning. IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[C-3] Haifeng Xia, Kai Li and Zhengming Ding. Personalized Semantics Excitation for Federated Image Classification. IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
[C-2] Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun and Chen Chen. RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023.
[C-1] Zhengming Zhang, Renran Tian, and Zhengming Ding. TrEP: Transformer-based Evidential Prediction for Pedestrian Intention with Uncertainty. Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023.
Year 2022
[C-5] Haifeng Xia, Pu Wang, and Zhengming Ding. Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. European Conference on Computer Vision (ECCV), 2022.
[C-4] Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, and Zhengming Ding. InAction: Interpretable Action Decision Making for Autonomous Driving. European Conference on Computer Vision (ECCV), 2022.
[C-3] Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip Orlik, and Zhengming Ding. Adversarial Bi-Regressor Network for Domain Adaptive Regression. International Joint Conference on Artificial Intelligence (IJCAI), 2022.
[C-2] Haifeng Xia, and Zhengming Ding. Cross-Domain Collaborative Normalization via Structural Knowledge. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022.
[C-1] Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding and Chen Chen. Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral, Best Paper Finalist)
Year 2021
[C-9] Wenxiao Xiao, Zhengming Ding and Hongfu Liu. Implicit Semantic Response Alignment for Partial Domain Adaptation. Advances in Neural Information Processing Systems (NeurIPS), 2021.
[C-8] Taotao Jing, Hongfu Liu and Zhengming Ding. Towards Novel Target Discovery Through Open-Set Domain Adaptation. International Conference on Computer Vision (ICCV) (Oral Presentation), 2021.
[C-7] Haifeng Xia, Handong Zhao and Zhengming Ding. Adaptive Adversarial Network for Source-free Domain Adaptation. International Conference on Computer Vision (ICCV), 2021.
[C-6] Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen and Zhengming Ding. 3D Human Pose Estimation Using Spatial and Temporal Transformers. International Conference on Computer Vision (ICCV), 2021.
[C-5] Haifeng Xia, Taotao Jing, Chen Chen, and Zhengming Ding. Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. ACM International Conference on Multimedia (ACM MM), 2021.
[C-4] Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu and Yang Yang. Balanced Open Set Domain Adaptation via Centroid Alignment. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
[C-3] Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu and Zhengming Ding. Generative Partial Visual-Tactile Fused Object Clustering. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
[C-2] Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang and Kun Huang. Towards Fair Cross-Domain Adaptation via Generative Learning. Winter Conference on Applications of Computer Vision (WACV) 2021.
[C-1] Taotao Jing, Zhengming Ding. Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. Winter Conference on Applications of Computer Vision (WACV) 2021.
Year 2020
[C-10] Taotao Jing, Haifeng Xia, Zhengming Ding. Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. ACM International Conference on Multimedia (ACM MM), 2020.
[C-9] Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding. Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation. ACM International Conference on Multimedia (ACM MM), 2020.
[C-8] Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, and Yang Yang. Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM International Conference on Multimedia (ACM MM), 2020.
[C-7] Haifeng Xia, Zhengming Ding. HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation. European Conference on Computer Vision (ECCV), 2020. [pdf][bib][code]
[C-6] Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu. Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning. European Conference on Computer Vision (ECCV), 2020.
[C-5] Haifeng Xia, Zhengming Ding. Structure-Preserving Generative Cross-Domain Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[C-4] Wei Wang, Haojie Li, Zhihui Wang, Juan Zhou and Zhengming Ding. Adaptive Local Neighbors for Transfer Discriminative Feature Learning. 24th European Conference on Artificial Intelligence (ECAI), 2020.
[C-3] Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding*. Bi-Directional Generation for Unsupervised Domain Adaptation. 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
[C-2] Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang. Domain Conditioned Adaptation Network. 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
[C-1] Tao Zhang, Yang Cong, Gan Sun, QianqianWang, Zhengming Ding. Visual Tactile Fusion Object Clustering. 34th AAAI Conference on Artificial Intelligence (AAAI), 2020
Year 2019
[C-6] Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, and Yun Fu. Generative Correlation Discovery Network for Multi-Label Learning. 2019 IEEE International Conference on Data Mining (ICDM) (Regular paper)
[C-5] Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, and Yun Fu. Generative Multi-View Human Action Recognition. 2019 International Conference on Computer Vision (ICCV) (Oral Presentation)
[C-4] Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu and Zi Huang. Cycle-consistent Conditional Adversarial Transfer Networks. ACM International Conference on Multimedia (ACM MM), 2019.
[C-3] Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding and Gao Huang. Joint Adversarial Domain Adaptation. ACM International Conference on Multimedia (ACM MM), 2019.
[C-2] Zhengming Ding, and Hongfu Liu. Marginalized Latent Semantic Encoder for Zero-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[C-1] Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu and Zi Huang. Leveraging the Invariant Side of Generative Zero-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Year 2018
[C-11] Zhengming Ding, Sheng Li, Ming Shao and Yun Fu. Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. European Conference on Computer Vision (ECCV), 2018
[C-10] Zhengming Ding, Ming Shao, Sheng Li, and Yun Fu. Generic Embedded Semantic Dictionary for Robust Multi-label Classification. IEEE International Conference on Big Knowledge (ICBK), 2018
[C-9] Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, and Yun Fu. Partial Multi-View Clustering via Consistent GAN. IEEE International Conference on Data Mining (ICDM), 2018.
[C-8] Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, and Yun Fu. Support Neighbor Loss for Person Re-Identification. ACM International Conference on Multimedia (ACM MM), 2018.
[C-7] Zhengming Ding, Ming Shao, and Yun Fu. Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. International Joint Conference on Artificial Intelligence (IJCAI), 2018 (Survey Track).
[C-6] Lichen Wang, Zhengming Ding, and Yun Fu. Adaptive Graph Guided Embedding for Multi-label Annotation, International Joint Conference on Artificial Intelligence (IJCAI), 2018.
[C-5] Zhengming Ding, Yandong Guo, Lei Zhang, and Yun Fu, One-Shot Face Recognition via Generative Learning, IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018.
[C-4] Yue Wu, Zhengming Ding, Hongfu Liu, Joseph Robinson, and Yun Fu, Kinship Classification through Latent Adaptive Subspace, IEEE Conference on Automatic Face and Gesture Recognition (FG), 2018.
[C-3] Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, and Yun Fu. Latent Discriminant Subspace Representations for Multi-view Outlier Detection, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
[C-2] Kai Li, Zhengming Ding, Sheng Li, and Yun Fu. Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
[C-1] Lichen Wang, Zhengming Ding, and Yun Fu. Transferable Subspace for Human Motion Segmentation, 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.
Year 2017
[C-6] Zhengming Ding, Ming Shao and Yun Fu. Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[C-5] Shuhui Jiang, Zhengming Dingand Yun Fu. Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation. ACM Multimedia (MM), 2017 (Best Paper Candidate).
[C-4] Wencang Zhao, Yu Kong, Zhengming Ding, and Yun Fu. Deep Active Learning Through Cognitive Information Parcels. ACM International Conference on Multimedia (ACM MM), 2017.
[C-3] Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Dingand Yun Fu. From Ensemble Clustering to Multi-View Clustering. International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[C-2] Shuyang Wang, Zhengming Ding and Yun Fu. Feature Selection Guided Auto-Encoder. 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
[C-1] Handong Zhao, Zhengming Ding and Yun Fu. Multi-view Clustering via Deep Matrix Factorization. 31st AAAI Conference on Artificial Intelligence (AAAI), 2017.
Year 2016
[C-8] Zhengming Ding, Ming Shao, and Yun Fu. Deep Robust Encoder through Locality Preserving Low-Rank Dictionary. European Conference on Computer Vision, (ECCV), 2016.
[C-7] Shuyang Wang, Zhengming Ding, and Yun Fu. Coupled Marginalized Auto-encoders for Cross-domain Multi-view Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2016.
[C-6] Zhengming Ding, Nasser Nasrabadi, and Yun Fu. Deep Transfer Learning for Automatic Target Classification: MWIR to LWIR. SPIE Defense+ Security, 2016 (Best Paper Award).
[C-5] Zhengming Ding, Ming Shao and Yun Fu. Transfer Learning for Image Classification with Incomplete Multiple Sources. The annual International Joint Conference on Neural Networks (IJCNN), 2016.
[C-4] Zhengming Ding, Nasser M Nasrabadi, and Yun Fu. Task-driven Deep Transfer Learning for Image Classification. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
[C-3] Zhengming Ding, and Yun Fu. Robust Multi-view Subspace Learning through Dual Low-rank Decompositions. Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
[C-2] Ming Shao, Zhengming Ding, Handong Zhao, and Yun Fu. Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
[C-1] Handong Zhao, Zhengming Ding, and Yun Fu. Pose-dependent Low-Rank Embedding for Head Pose Estimation. Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
Year 2015
[C-6] Handong Zhao, Zhengming Ding, Ming Shao, and Yun Fu. Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. IEEE International Conference on Data Mining (ICDM), 2015.
[C-5] Zhengming Ding, Ming Shao, and Yun Fu. Deep Low-rank Coding for Transfer Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2015.
[C-4] Ming Shao, Sheng Li, Zhengming Ding, and Yun Fu. Deep Linear Coding for Fast Graph Clustering. International Joint Conference on Artificial Intelligence (IJCAI), 2015.
[C-3] Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, and Yun Fu. Discriminative Low-Rank Metric Learning for Face Recognition. International Conference on Automatic Face and Gesture Recognition (FG), 2015.
[C-2] Ming Shao, Zhengming Ding, and Yun Fu. Sparse Low-Rank Fusion based Deep Features for Missing Modality Face Recognition. International Conference on Automatic Face and Gesture Recognition (FG)), 2015.
[C-1] Handong Zhao, Zhengming Ding, and Yun Fu. Block-wise Constrained Sparse Graph for Face Image Representation. International Conference on Automatic Face and Gesture Recognition (FG)), 2015.
Year 2014
[C-3] Zhengming Ding, Yun Fu. Low-Rank Common Subspace for Multi-View Learning. IEEE International Conference on Data Mining (ICDM), 2014.
[C-2] Chengcheng Jia, Yu Kong, Zhengming Ding and Yun Fu. Latent Tensor Transfer Learning for RGB-D Action Recognition. The 22nd ACM International Conference on Multimedia (ACM MM), 2014.
[C-1] Zhengming Ding, Ming Shao, and Yun Fu. Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2014.
