| 2026 | WACV | VLMs Guided Interpretable Decision Making for Autonomous Driving | Xin Hu, Taotao Jing, Renran Tian, Zhengming Ding |
| 2025 | AAAI | Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation. | Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding |
| 2025 | CVPR | Attribute-Missing Multi-view Graph Clustering. | Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao |
| 2025 | ICASSP | IPNet: Interpretable Prototype Network for Multi-Source Domain Adaptation. | Rui Chen, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding |
| 2025 | ICCV | Hypergraph Clustering Network with Partial Attribute Imputation. | Qianqian Wang, Bowen Zhao, Zhengming Ding, Wei Feng, Quanxue Gao |
| 2025 | ICML | Unified K-Means Clustering with Label-Guided Manifold Learning. | Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao |
| 2025 | IJCAI | Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data. | Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding |
| 2025 | IJCAI | A Simple yet Effective Hypergraph Clustering Network. | Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao |
| 2025 | ICRA | RoBiFusion: A Robust and Bidirectional Interaction Camera-LiDAR 3D Object Detection Framework. | Xubin Wen, Haifeng Xia, Zhengming Ding, Siyu Xia |
| 2025 | WACV | Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM. | Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding |
| 2024 | CVPR | Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers. | Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding |
| 2024 | CVPR | Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation. | Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm |
| 2024 | CVPR | Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. | Haifeng Xia, Siyu Xia, Zhengming Ding |
| 2024 | HCI | A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban Scenario. | Zhengming Zhang, Vincent G. Duffy, Mark R. Lehto, Zhengming Ding, Renran Tian |
| 2024 | MICCAI | From Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis. | Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm |
| 2024 | WACV | iBARLE: imBalance-Aware Room Layout Estimation. | Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang |
| 2023 | AAAI | TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty. | Zhengming Zhang, Renran Tian, Zhengming Ding |
| 2023 | ICCV | Personalized Semantics Excitation for Federated Image Classification. | Haifeng Xia, Kai Li, Zhengming Ding |
| 2023 | ICCV | Few-Shot Video Classification via Representation Fusion and Promotion Learning. | Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding |
| 2023 | IJCAI | RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. | Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen |
| 2023 | IROS | IDA: Informed Domain Adaptive Semantic Segmentation. | Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu |
| 2022 | AAAI | Cross-Domain Collaborative Normalization via Structural Knowledge. | Haifeng Xia, Zhengming Ding |
| 2022 | CVPR | Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. | Matas Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen |
| 2022 | ECCV | 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 |
| 2022 | ECCV | Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. | Haifeng Xia, Pu Wang, Zhengming Ding |
| 2022 | IJCAI | Adversarial Bi-Regressor Network for Domain Adaptive Regression. | Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding |
| 2021 | AAAI | Balanced Open Set Domain Adaptation via Centroid Alignment. | Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang |
| 2021 | AAAI | Generative Partial Visual-Tactile Fused Object Clustering. | Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding |
| 2021 | ICCV | Towards Novel Target Discovery Through Open-Set Domain Adaptation. | Taotao Jing, Hongfu Liu, Zhengming Ding |
| 2021 | ICCV | Adaptive Adversarial Network for Source-free Domain Adaptation. | Haifeng Xia, Handong Zhao, Zhengming Ding |
| 2021 | ICCV | 3D Human Pose Estimation with Spatial and Temporal Transformers. | Ce Zheng, Sijie Zhu, Matas Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding |
| 2021 | WACV | Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation. | Taotao Jing, Zhengming Ding |
| 2021 | WACV | Towards Fair Cross-Domain Adaptation via Generative Learning. | Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang |
| 2020 | AAAI | Domain Conditioned Adaptation Network. | Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang |
| 2020 | AAAI | Bi-Directional Generation for Unsupervised Domain Adaptation. | Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding |
| 2020 | AAAI | Visual Tactile Fusion Object Clustering. | Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding |
| 2020 | CVPR | Structure Preserving Generative Cross-Domain Learning. | Haifeng Xia, Zhengming Ding |
| 2020 | ECAI | Adaptive Local Neighbors for Transfer Discriminative Feature Learning. | Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding |
| 2020 | ECCV | Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning. | Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu |
| 2020 | ECCV | HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation. | Haifeng Xia, Zhengming Ding |
| 2019 | CVPR | Marginalized Latent Semantic Encoder for Zero-Shot Learning. | Zhengming Ding, Hongfu Liu |
| 2019 | CVPR | Leveraging the Invariant Side of Generative Zero-Shot Learning. | Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang |
| 2019 | ICCV | Generative Multi-View Human Action Recognition. | Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu |
| 2019 | ICDM | Generative Correlation Discovery Network for Multi-label Learning. | Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu |
| 2018 | AAAI | Latent Discriminant Subspace Representations for Multi-View Outlier Detection. | Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu |
| 2018 | AAAI | Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. | Kai Li, Zhengming Ding, Sheng Li, Yun Fu |
| 2018 | AAAI | Learning Transferable Subspace for Human Motion Segmentation. | Lichen Wang, Zhengming Ding, Yun Fu |
| 2018 | ECCV | Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. | Zhengming Ding, Sheng Li, Ming Shao, Yun Fu |
| 2018 | ICDM | Partial Multi-view Clustering via Consistent GAN. | Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu |
| 2018 | IJCAI | Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. | Zhengming Ding, Ming Shao, Yun Fu |
| 2018 | IJCAI | Adaptive Graph Guided Embedding for Multi-label Annotation. | Lichen Wang, Zhengming Ding, Yun Fu |
| 2017 | AAAI | Feature Selection Guided Auto-Encoder. | Shuyang Wang, Zhengming Ding, Yun Fu |
| 2017 | AAAI | Multi-View Clustering via Deep Matrix Factorization. | Handong Zhao, Zhengming Ding, Yun Fu |
| 2017 | CVPR | Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning. | Zhengming Ding, Ming Shao, Yun Fu |
| 2017 | IJCAI | From Ensemble Clustering to Multi-View Clustering. | Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu |
| 2016 | AAAI | Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions. | Zhengming Ding, Yun Fu |
| 2016 | AAAI | Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation. | Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu |
| 2016 | AAAI | Pose-Dependent Low-Rank Embedding for Head Pose Estimation. | Handong Zhao, Zhengming Ding, Yun Fu |
| 2016 | ECCV | Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary. | Zhengming Ding, Ming Shao, Yun Fu |
| 2016 | ICASSP | Task-driven deep transfer learning for image classification. | Zhengming Ding, Nasser M. Nasrabadi, Yun Fu |
| 2016 | IJCAI | Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning. | Shuyang Wang, Zhengming Ding, Yun Fu |
| 2016 | IJCNN | Transfer learning for image classification with incomplete multiple sources. | Zhengming Ding, Ming Shao, Yun Fu |
| 2015 | ICDM | Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning. | Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu |
| 2015 | IJCAI | Deep Low-Rank Coding for Transfer Learning. | Zhengming Ding, Ming Shao, Yun Fu |
| 2015 | IJCAI | Deep Linear Coding for Fast Graph Clustering. | Ming Shao, Sheng Li, Zhengming Ding, Yun Fu |
| 2014 | AAAI | Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition. | Zhengming Ding, Ming Shao, Yun Fu |
| 2014 | ICDM | Low-Rank Common Subspace for Multi-view Learning. | Zhengming Ding, Yun Fu |