Ding, Zhengming

58 publications

NeurIPS 2025 $i$MIND: Insightful Multi-Subject Invariant Neural Decoding Zixiang Yin, Jiarui Li, Zhengming Ding

IJCAI 2025 A Simple yet Effective Hypergraph Clustering Network Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao

CVPR 2025 Attribute-Missing Multi-View Graph Clustering Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao

NeurIPS 2025 Diffusion Guided Adversarial State Perturbations in Reinforcement Learning Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng

NeurIPS 2025 Doctor Approved: Generating Medically Accurate Skin Disease Images Through AI-Expert Feedback Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

IJCAI 2025 Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding

WACV 2025 Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Xin Hu, Janet Wang, Jihun Hamm, Rie R Yotsu, Zhengming Ding

ICCV 2025 Hypergraph Clustering Network with Partial Attribute Imputation Qianqian Wang, Bowen Zhao, Zhengming Ding, Wei Feng, Quanxue Gao

NeurIPS 2025 PSI: A Benchmark for Human Interpretation and Response in Traffic Interactions Taotao Jing, Tina Chen, Renran Tian, Yaobin Chen, Joshua Domeyer, Heishiro Toyoda, Rini Sherony, Zhengming Ding

NeurIPS 2025 Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation Wei Wang, Haifeng Xia, Chao Huang, Zhengming Ding, Cong Wang, Haojie Li, Xiaochun Cao

AAAI 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding

ICML 2025 Unified K-Means Clustering with Label-Guided Manifold Learning Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao

CVPRW 2024 Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

CVPR 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation Haifeng Xia, Siyu Xia, Zhengming Ding

CVPRW 2024 Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding

WACV 2024 iBARLE: imBalance-Aware Room Layout Estimation Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang

ICCV 2023 Few-Shot Video Classification via Representation Fusion and Promotion Learning Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding

ICCV 2023 Personalized Semantics Excitation for Federated Image Classification Haifeng Xia, Kai Li, Zhengming Ding

IJCAI 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen

AAAI 2023 TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty Zhengming Zhang, Renran Tian, Zhengming Ding

IJCAI 2022 Adversarial Bi-Regressor Network for Domain Adaptive Regression Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding

AAAI 2022 Cross-Domain Collaborative Normalization via Structural Knowledge Haifeng Xia, Zhengming Ding

ECCV 2022 InAction: Interpretable Action Decision Making for Autonomous Driving Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, Zhengming Ding

ECCV 2022 Incomplete Multi-View Domain Adaptation via Channel Enhancement and Knowledge Transfer Haifeng Xia, Pu Wang, Zhengming Ding

CVPR 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen

ICCV 2021 3D Human Pose Estimation with Spatial and Temporal Transformers Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding

ICCV 2021 Adaptive Adversarial Network for Source-Free Domain Adaptation Haifeng Xia, Handong Zhao, Zhengming Ding

WACV 2021 Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation Taotao Jing, Zhengming Ding

AAAI 2021 Balanced Open Set Domain Adaptation via Centroid Alignment Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang

AAAI 2021 Generative Partial Visual-Tactile Fused Object Clustering Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding

NeurIPS 2021 Implicit Semantic Response Alignment for Partial Domain Adaptation Wenxiao Xiao, Zhengming Ding, Hongfu Liu

WACV 2021 Towards Fair Cross-Domain Adaptation via Generative Learning Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang

ICCV 2021 Towards Novel Target Discovery Through Open-Set Domain Adaptation Taotao Jing, Hongfu Liu, Zhengming Ding

ICCVW 2021 Visual Reasoning Using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention Tina Chen, Renran Tian, Zhengming Ding

AAAI 2020 Bi-Directional Generation for Unsupervised Domain Adaptation Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

AAAI 2020 Domain Conditioned Adaptation Network Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang

ECCV 2020 Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu

ECCV 2020 HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation Haifeng Xia, Zhengming Ding

AAAI 2020 Visual Tactile Fusion Object Clustering Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding

ICCVW 2019 Online Multi-Task Clustering for Human Motion Segmentation Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu

IJCAI 2018 Adaptive Graph Guided Embedding for Multi-Label Annotation Lichen Wang, Zhengming Ding, Yun Fu

AAAI 2018 Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification Kai Li, Zhengming Ding, Sheng Li, Yun Fu

ECCV 2018 Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation Zhengming Ding, Sheng Li, Ming Shao, Yun Fu

AAAI 2018 Latent Discriminant Subspace Representations for Multi-View Outlier Detection Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu

AAAI 2018 Learning Transferable Subspace for Human Motion Segmentation Lichen Wang, Zhengming Ding, Yun Fu

IJCAI 2018 Robust Multi-View Representation: A Unified Perspective from Multi-View Learning to Domain Adaption Zhengming Ding, Ming Shao, Yun Fu

AAAI 2017 Feature Selection Guided Auto-Encoder Shuyang Wang, Zhengming Ding, Yun Fu

IJCAI 2017 From Ensemble Clustering to Multi-View Clustering Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu

CVPR 2017 Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning Zhengming Ding, Ming Shao, Yun Fu

AAAI 2017 Multi-View Clustering via Deep Matrix Factorization Handong Zhao, Zhengming Ding, Yun Fu

IJCAI 2016 Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning Shuyang Wang, Zhengming Ding, Yun Fu

ECCV 2016 Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary Zhengming Ding, Ming Shao, Yun Fu

AAAI 2016 Pose-Dependent Low-Rank Embedding for Head Pose Estimation Handong Zhao, Zhengming Ding, Yun Fu

AAAI 2016 Robust Multi-View Subspace Learning Through Dual Low-Rank Decompositions Zhengming Ding, Yun Fu

AAAI 2016 Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu

IJCAI 2015 Deep Linear Coding for Fast Graph Clustering Ming Shao, Sheng Li, Zhengming Ding, Yun Fu

IJCAI 2015 Deep Low-Rank Coding for Transfer Learning Zhengming Ding, Ming Shao, Yun Fu

AAAI 2014 Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition Zhengming Ding, Ming Shao, Yun Fu