Year 2025/font>
[C-16] Zixiang Yin, Jiarui Li, Zhengming Ding. iMIND: Insightful Multi-subject Invariant Neural Decoding. Advances in Neural Information Processing Systems (NeurIPS), 2025
[C-15] Taotao Jing, Tina Chen, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, Zhengming Ding. PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions. Advances in Neural Information Processing Systems (NeurIPS Benchmark), 2025
[C-14] Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao. Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation. Advances in Neural Information Processing Systems (NeurIPS), 2025
[C-13] Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng. Diffusion Guided Adversarial State Perturbations in Reinforcement Learning. Advances in Neural Information Processing Systems (NeurIPS), 2025
[C-12] Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm. Doctor Approved: Generating Medically Accurate Skin Disease Images through AI–Expert Feedback. Advances in Neural Information Processing Systems (NeurIPS), 2025
[C-11] Zhiqian Xia, Haifeng Xia, Shichao Jin, Wei Wang, Zhengming Ding, Xiaochun Cao. DSPF: Dual-Stage Preservation and Fusion for Source-free Domain Adaptive Point Cloud Completion. In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025
[C-10] Janet Wang, Xin Hu, Yunbei Zhang, DIABATE Almamy, Vagamon BAMBA, Konan Amos Sébastien KOFFI, YAO KOFFI AUBIN, Zhengming Ding, Jihun Hamm, Rie R. Yotsu. eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases. In Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), 2025 (Dataset Track)
[C-9] Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao. Unified K-Means Clustering with Label-Guided Manifold Learning. Forty-second International Conference on Machine Learning (ICML), 2025
[C-8] Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding. Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
[C-7] Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao. A Simple yet Effective Hypergraph Clustering Network. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025
[C-6] Qucheng Peng, Ce Zheng, Zhengming Ding, Pu Wang, Chen Chen. Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation. IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, 2025
[C-5] Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding. Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Vol. 39, No. 10, 2025
[C-4] Xubin Wen, Haifeng Xia, Zhengming Ding, Siyu Xia. RoBiFusion: A Robust and Bidirectional Interaction Camera-LiDAR 3D Object Detection Framework. IEEE International Conference on Robotics & Automation (ICRA), 2025
[C-3] Xin Hu, Janet Wang, Jihun Hamm, Rie R Yotsu, Zhengming Ding. Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
[C-2] Rui Chen, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding. IPNet: Interpretable Prototype Network for Multi-Source Domain Adaptation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
[C-1] Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao. Attribute-Missing Multi-view Graph Clustering. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 25832-25841
Year 2024
[C-5] Zhengming Zhang, Vincent G Duffy, Mark R Lehto, Zhengming Ding, Renran Tian. A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban ScenarioZ. In International Conference on Human-Computer Interaction (pp. 172-188). Springer, Cham, 2024
[C-4] Kang Shen, Haifeng Xia, Guangxing Geng, Guangyue and Geng, Siyu Xia, Zhengming Ding. DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling. In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024: pp. 10506-10514
[C-3] Wangguandong Zheng, Haifeng Xia, Rui Chen, Libo Sun, Ming Shao, Siyu Xia, Zhengming Ding. Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024: pp. 3617-3626
[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.
