Zhengming Ding

220 papers A* 61A 6B 7Misc 2Journal 125Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
MixerCSeg: An Efficient Mixer Architecture for Crack Segmentation via Decoupled Mamba Attention.
CoRR
Zilong Zhao, Zhengming Ding, Pei Niu, Wenhao Sun, Feng Guo
2026 J jnl
Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness.
CoRR
Xin Hu, Haomiao Ni, Yunbei Zhang, Jihun Hamm, Zechen Li, Zhengming Ding
2026 J jnl
Why Does It Look There? Structured Explanations for Image Classification.
CoRR
Jiarui Li, Zixiang Yin, Samuel J. Landry, Zhengming Ding, Ramgopal R. Mettu
2025 A* conf
A Simple yet Effective Hypergraph Clustering Network.
IJCAI
Qianqian Wang, Bowen Zhao, Zhengming Ding, Xiangdong Zhang, Quanxue Gao
2025 A* conf
Attribute-Missing Multi-view Graph Clustering.
CVPR
Bowen Zhao, Qianqian Wang, Zhengming Ding, Quanxue Gao
2025 A* conf
DSPF: Dual-Stage Preservation and Fusion for Source-Free Domain Adaptive Point Cloud Completion.
ACM Multimedia
Zhiqian Xia, Haifeng Xia, Shichao Jin, Wei Wang, Zhengming Ding, Xiaochun Cao
2025 J jnl
Deep Label Propagation With Nuclear Norm Maximization for Visual Domain Adaptation.
IEEE Trans. Image Process.
Wei Wang, Hanyang Li, Cong Wang, Chao Huang, Zhengming Ding, Feiping Nie, Xiaochun Cao
2025 J jnl
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning.
CoRR
Xiaolin Sun, Feidi Liu, Zhengming Ding, Zizhan Zheng
2025 J jnl
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback.
CoRR
Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2025 A* conf
Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data.
IJCAI
Qianqian Wang, Mengping Jiang, Wei Feng, Zhengming Ding
2025 A conf
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM.
WACV
Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding
2025 B conf
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation.
FG
Qucheng Peng, Ce Zheng, Zhengming Ding, Pu Wang, Chen Chen
2025 J jnl
Generative Mixup Networks for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2025 Misc conf
IPNet: Interpretable Prototype Network for Multi-Source Domain Adaptation.
ICASSP
Rui Chen, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding
2025 J jnl
Interpretable Novel Target Discovery through Open-Set Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl.
Taotao Jing, Haifeng Xia, Hongfu Liu, Zhengming Ding
2025 J jnl
MindReaD: Enhancing Pedestrian-Vehicle Interaction with Micro-Level Reasoning Data Annotation.
Int. J. Hum. Comput. Interact.
Md. Fazle Elahi Khan, Taotao Jing, Zhengming Ding, Renran Tian
2025 — conf
Multi-Trajectory Prediction for E-Scooter Riders with Multi-Modal Inputs.
ITSC
Zhengming Zhang, Juntong Peng, Yaobin Chen, Jue Zhou, Stanley Y. P. Chien, Zhengming Ding, Rini Sherony, Zhaonan Sun, Shaozhi Wang, Renran Tian
2025 J jnl
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding.
CoRR
Jiarui Li, Zixiang Yin, Haley Smith, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu
2025 — conf
Rational Multi-Modal Transformers for TCR-pMHC Prediction.
BCB
Jiarui Li, Zixiang Yin, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu
2025 J jnl
Rational Multi-Modal Transformers for TCR-pMHC Prediction.
CoRR
Jiarui Li, Zixiang Yin, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu
2025 A* conf
RoBiFusion: A Robust and Bidirectional Interaction Camera-LiDAR 3D Object Detection Framework.
ICRA
Xubin Wen, Haifeng Xia, Zhengming Ding, Siyu Xia
2025 A* conf
Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation.
AAAI
Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, Zhengming Ding
2025 J jnl
TCR-EML: Explainable Model Layers for TCR-pMHC Prediction.
CoRR
Jiarui Li, Zixiang Yin, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu
2025 A* conf
Unified K-Means Clustering with Label-Guided Manifold Learning.
ICML
Qianqian Wang, Mengping Jiang, Zhengming Ding, Quanxue Gao
2025 J jnl
VLMs Guided Interpretable Decision Making for Autonomous Driving.
CoRR
Xin Hu, Taotao Jing, Renran Tian, Zhengming Ding
2025 A* conf
eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases.
ACM Multimedia
Janet Wang, Xin Hu, Yunbei Zhang, Diabate Almamy, Vagamon Bamba, Konan Amos Sébastien Koffi, Koffi Aubin Yao, Zhengming Ding, Jihun Hamm, Rie Roselyne Yotsu
2025 J jnl
eSkinHealth: A Multimodal Dataset for Neglected Tropical Skin Diseases.
CoRR
Janet Wang, Xin Hu, Yunbei Zhang, Diabate Almamy, Vagamon Bamba, Konan Amos Sébastien Koffi, Koffi Aubin Yao, Zhengming Ding, Jihun Hamm, Rie Roselyne Yotsu
2024 J jnl
A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds.
CoRR
Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong-Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang
2024 — conf
A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban Scenario.
HCI (70)
Zhengming Zhang, Vincent G. Duffy, Mark R. Lehto, Zhengming Ding, Renran Tian
2024 — conf
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation.
CVPR Workshops
Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2024 J jnl
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis.
CoRR
Ziyu Zhou, Anton Orlichenko, Gang Qu, Zening Fu, Vince D. Calhoun, Zhengming Ding, Yu-Ping Wang
2024 J jnl
CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data.
Comput. Biol. Medicine
Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2024 J jnl
Create Your World: Lifelong Text-to-Image Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell.
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
2024 A* conf
DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling.
ACM Multimedia
Kang Shen, Haifeng Xia, Guangxing Geng, Guangyue Geng, Siyu Xia, Zhengming Ding
2024 J jnl
Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention.
IEEE Trans. Image Process.
Zhengming Zhang, Zhengming Ding, Renran Tian
2024 J jnl
Differential Refinement Network for Zero-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yi Tian, Yilei Zhang, Yaping Huang, Wanru Xu, Zhengming Ding
2024 A* conf
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation.
CVPR
Haifeng Xia, Siyu Xia, Zhengming Ding
2024 J jnl
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM Empowerment.
CoRR
Xin Hu, Janet Wang, Jihun Hamm, Rie Roselyne Yotsu, Zhengming Ding
2024 J jnl
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation.
CoRR
Qucheng Peng, Ce Zheng, Zhengming Ding, Pu Wang, Chen Chen
2024 J jnl
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies.
CoRR
Gang Qu, Anton Orlichenko, Junqi Wang, Gemeng Zhang, Li Xiao, Aiying Zhang, Zhengming Ding, Yu-Ping Wang
2024 — conf
From Majority to Minority: A Diffusion-Based Augmentation for Underrepresented Groups in Skin Lesion Analysis.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
2024 J jnl
From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis.
CoRR
Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
2024 J jnl
GCC: Generative Calibration Clustering.
CoRR
Haifeng Xia, Hai Huang, Zhengming Ding
2024 J jnl
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning.
Adv. Intell. Syst.
Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan
2024 J jnl
Improving Targeted Mass Spectrometry Data Analysis with Nested Active Machine Learning.
Adv. Intell. Syst.
Duran Bao, Qingbo Shu, Bo Ning, Michael Tang, Yubing Liu, Noel Wong, Zhengming Ding, Zizhan Zheng, Christopher J. Lyon, Tony Hu, Jia Fan
2024 — conf
Intent-Guided Trajectory Prediction for E-Scooter Riders and Bicyclists.
ITSC
Zhengming Zhang, Zhengming Ding, Yaobin Chen, Stanley Y. P. Chien, Lingxi Li, Rini Sherony, Joshua E. Domeyer, Renran Tian
2024 J jnl
Marginalized Augmented Few-Shot Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding
2024 A* conf
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation.
ACM Multimedia
Wangguandong Zheng, Haifeng Xia, Rui Chen, Libo Sun, Ming Shao, Siyu Xia, Zhengming Ding
2024 J jnl
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation.
CoRR
Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding
2024 — conf
Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers.
CVPR Workshops
Xin Hu, Kai Li, Deep Patel, Erik Kruus, Martin Renqiang Min, Zhengming Ding
2024 J jnl
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding
2024 A conf
iBARLE: imBalance-Aware Room Layout Estimation.
WACV
Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang
2023 J jnl
Attention-Based Interrelation Modeling for Explainable Automated Driving.
IEEE Trans. Intell. Veh.
Zhengming Zhang, Renran Tian, Rini Sherony, Joshua E. Domeyer, Zhengming Ding
2023 J jnl
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data.
CoRR
Chen Zhao, Anqi Liu, Xiao Zhang, Xuewei Cao, Zhengming Ding, Qiuying Sha, Hui Shen, Hong-Wen Deng, Weihua Zhou
2023 J jnl
Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification?
CoRR
Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm
2023 J jnl
Create Your World: Lifelong Text-to-Image Diffusion.
CoRR
Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong
2023 J jnl
Extreme Low-Resolution Action Recognition with Confident Spatial-Temporal Attention Transfer.
Int. J. Comput. Vis.
Yucai Bai, Qin Zou, Xieyuanli Chen, Lingxi Li, Zhengming Ding, Long Chen
2023 A* conf
Few-Shot Video Classification via Representation Fusion and Promotion Learning.
ICCV
Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding
2023 J jnl
Generative Inference Network for Imbalanced Domain Generalization.
IEEE Trans. Image Process.
Haifeng Xia, Taotao Jing, Zhengming Ding
2023 J jnl
Generative Multi-Label Correlation Learning.
ACM Trans. Knowl. Discov. Data
Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu
2023 J jnl
Hierarchical Lifelong Machine Learning With "Watchdog".
IEEE Trans. Big Data
Gan Sun, Yang Cong, Changjun Gu, Xu Tang, Zhengming Ding, Haibin Yu
2023 A conf
IDA: Informed Domain Adaptive Semantic Segmentation.
IROS
Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
2023 J jnl
IDA: Informed Domain Adaptive Semantic Segmentation.
CoRR
Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
2023 J jnl
Lifelong Visual-Tactile Spectral Clustering for Robotic Object Perception.
IEEE Trans. Circuits Syst. Video Technol.
Yuyang Liu, Yang Cong, Gan Sun, Zhengming Ding
2023 J jnl
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Haifeng Xia, Taotao Jing, Zhengming Ding
2023 — conf
Mining Label Distribution Drift in Unsupervised Domain Adaptation.
AI (1)
Peizhao Li, Zhengming Ding, Hongfu Liu
2023 A* conf
Personalized Semantics Excitation for Federated Image Classification.
ICCV
Haifeng Xia, Kai Li, Zhengming Ding
2023 J jnl
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation.
IEEE Robotics Autom. Lett.
Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
2023 A* conf
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.
IJCAI
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2023 J jnl
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Wei Wang, Haojie Li, Zhengming Ding, Feiping Nie, Junyang Chen, Xiao Dong, Zhihui Wang
2023 A* conf
TrEP: Transformer-Based Evidential Prediction for Pedestrian Intention with Uncertainty.
AAAI
Zhengming Zhang, Renran Tian, Zhengming Ding
2023 J jnl
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation.
CoRR
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2023 J jnl
iBARLE: imBalance-Aware Room Layout Estimation.
CoRR
Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang
2022 J jnl
A zero-shot learning framework via cluster-prototype matching.
Pattern Recognit.
Jing Zhang, Qingyong Li, Yangli-ao Geng, Wen Wang, Wenju Sun, Chuan Shi, Zhengming Ding
2022 A* conf
Adversarial Bi-Regressor Network for Domain Adaptive Regression.
IJCAI
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
2022 J jnl
Adversarial Bi-Regressor Network for Domain Adaptive Regression.
CoRR
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
2022 J jnl
Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval.
IEEE Trans. Image Process.
Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding
2022 J jnl
Continuous Multi-View Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding
2022 A* conf
Cross-Domain Collaborative Normalization via Structural Knowledge.
AAAI
Haifeng Xia, Zhengming Ding
2022 J jnl
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen
2022 J jnl
Few-Shot Domain Adaptation via Mixup Optimal Transport.
IEEE Trans. Image Process.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2022 J jnl
Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation.
ACM Trans. Knowl. Discov. Data
Lichen Wang, Zhengming Ding, Yun Fu
2022 — conf
InAction: Interpretable Action Decision Making for Autonomous Driving.
ECCV (38)
Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua E. Domeyer, Rini Sherony, Zhengming Ding
2022 — conf
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer.
ECCV (34)
Haifeng Xia, Pu Wang, Zhengming Ding
2022 J jnl
Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Jing Sun, Zhihui Wang, Wei Wang, Haojie Li, Fuming Sun, Zhengming Ding
2022 J jnl
Learnable Visual Words for Interpretable Image Recognition.
CoRR
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2022 A* conf
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.
CVPR
Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2022 J jnl
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.
CoRR
Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding
2022 J jnl
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation.
CoRR
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2022 J jnl
Vehicle and Person Re-Identification With Support Neighbor Loss.
IEEE Trans. Neural Networks Learn. Syst.
Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
2022 J jnl
What and How: Generalized Lifelong Spectral Clustering via Dual Memory.
IEEE Trans. Pattern Anal. Mach. Intell.
Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu
2021 A* conf
3D Human Pose Estimation with Spatial and Temporal Transformers.
ICCV
Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
2021 J jnl
3D Human Pose Estimation with Spatial and Temporal Transformers.
CoRR
Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
2021 J jnl
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation.
CoRR
Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li
2021 A* conf
Adaptive Adversarial Network for Source-free Domain Adaptation.
ICCV
Haifeng Xia, Handong Zhao, Zhengming Ding
2021 A conf
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation.
WACV
Taotao Jing, Zhengming Ding
2021 A* conf
Balanced Open Set Domain Adaptation via Centroid Alignment.
AAAI
Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2021 J jnl
Deep Residual Correction Network for Partial Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding
2021 J jnl
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency.
IEEE Trans. Image Process.
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2021 A* conf
Generative Partial Visual-Tactile Fused Object Clustering.
AAAI
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
2021 A* conf
Implicit Semantic Response Alignment for Partial Domain Adaptation.
NeurIPS
Wenxiao Xiao, Zhengming Ding, Hongfu Liu
2021 — conf
Intelligent Highway Lane Center Identification from Surveillance Camera Video.
ITSC
Mei Qiu, Stanley Y. P. Chien, Anup Atul Mulay, Lauren A. Christopher, Zhengming Ding, Yaobin Chen, Jim Sturdevant, Ed Cox
2021 J jnl
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning.
CoRR
Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
2021 J jnl
Maximum Density Divergence for Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen
2021 J jnl
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car.
CoRR
Tina Chen, Renran Tian, Yaobin Chen, Joshua E. Domeyer, Heishiro Toyoda, Rini Sherony, Taotao Jing, Zhengming Ding
2021 J jnl
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation.
CoRR
Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
2021 J jnl
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning.
IEEE Trans. Image Process.
BingRong Xu, Zhigang Zeng, Cheng Lian, Zhengming Ding
2021 A* conf
Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning.
ACM Multimedia
Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding
2021 J jnl
Sparsely-labeled source assisted domain adaptation.
Pattern Recognit.
Wei Wang, Shenglun Chen, Yuankai Xiang, Jing Sun, Haojie Li, Zhihui Wang, Fuming Sun, Zhengming Ding, Baopu Li
2021 A conf
Towards Fair Cross-Domain Adaptation via Generative Learning.
WACV
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
2021 J jnl
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.
IEEE Trans. Image Process.
Taotao Jing, BingRong Xu, Zhengming Ding
2021 A* conf
Towards Novel Target Discovery Through Open-Set Domain Adaptation.
ICCV
Taotao Jing, Hongfu Liu, Zhengming Ding
2021 J jnl
Towards Novel Target Discovery Through Open-Set Domain Adaptation.
CoRR
Taotao Jing, Hongfu Liu, Zhengming Ding
2021 — conf
Visual Reasoning using Graph Convolutional Networks for Predicting Pedestrian Crossing Intention.
ICCVW
Tina Chen, Renran Tian, Zhengming Ding
2021 J jnl
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding
2020 A conf
Adaptive Local Neighbors for Transfer Discriminative Feature Learning.
ECAI
Wei Wang, Zhihui Wang, Haojie Li, Juan Zhou, Zhengming Ding
2020 A* conf
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation.
ACM Multimedia
Taotao Jing, Haifeng Xia, Zhengming Ding
2020 J jnl
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation.
CoRR
Taotao Jing, Haifeng Xia, Zhengming Ding
2020 J jnl
Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation.
CoRR
Taotao Jing, Zhengming Ding
2020 A* conf
Bi-Directional Generation for Unsupervised Domain Adaptation.
AAAI
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
2020 J jnl
Bi-Directional Generation for Unsupervised Domain Adaptation.
CoRR
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
2020 J jnl
Deep Decision Tree Transfer Boosting.
IEEE Trans. Neural Networks Learn. Syst.
Shuhui Jiang, Haiyi Mao, Zhengming Ding, Yun Fu
2020 J jnl
Deep Residual Correction Network for Partial Domain Adaptation.
CoRR
Shuang Li, Chi Harold Liu, Qiuxia Lin, Qi Wen, Limin Su, Gao Huang, Zhengming Ding
2020 J jnl
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation.
CoRR
Taotao Jing, Ming Shao, Zhengming Ding
2020 J jnl
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Shuang Li, Chi Harold Liu, Limin Su, Binhui Xie, Zhengming Ding, C. L. Philip Chen, Dapeng Wu
2020 A* conf
Domain Conditioned Adaptation Network.
AAAI
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang
2020 J jnl
Domain Conditioned Adaptation Network.
CoRR
Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang
2020 J jnl
Generative Partial Multi-View Clustering.
CoRR
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2020 J jnl
Generative Partial Visual-Tactile Fused Object Clustering.
CoRR
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
2020 — conf
Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning.
ECCV (14)
Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu
2020 — conf
HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation.
ECCV (27)
Haifeng Xia, Zhengming Ding
2020 J jnl
Heterogeneous Recommendation via Deep Low-Rank Sparse Collective Factorization.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuhui Jiang, Zhengming Ding, Yun Fu
2020 A* conf
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.
ACM Multimedia
Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2020 J jnl
Marginalized Multiview Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2020 J jnl
Maximum Density Divergence for Domain Adaptation.
CoRR
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen
2020 J jnl
Mining Label Distribution Drift in Unsupervised Domain Adaptation.
CoRR
Peizhao Li, Zhengming Ding, Hongfu Liu
2020 J jnl
Rethink Maximum Mean Discrepancy for Domain Adaptation.
CoRR
Wei Wang, Haojie Li, Zhengming Ding, Zhihui Wang
2020 J jnl
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning.
IEEE Trans. Circuits Syst. Video Technol.
Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu
2020 A* conf
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.
ACM Multimedia
Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding
2020 J jnl
Simultaneous Semantic Alignment Network for Heterogeneous Domain Adaptation.
CoRR
Shuang Li, Binhui Xie, Jiashu Wu, Ying Zhao, Chi Harold Liu, Zhengming Ding
2020 J jnl
Sparsely-Labeled Source Assisted Domain Adaptation.
CoRR
Wei Wang, Zhihui Wang, Yuankai Xiang, Jing Sun, Haojie Li, Fuming Sun, Zhengming Ding
2020 A* conf
Structure Preserving Generative Cross-Domain Learning.
CVPR
Haifeng Xia, Zhengming Ding
2020 J jnl
Towards Fair Cross-Domain Adaptation via Generative Learning.
CoRR
Tongxin Wang, Zhengming Ding, Wei Shao, Haixu Tang, Kun Huang
2020 J jnl
Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.
CoRR
Taotao Jing, BingRong Xu, Jingjing Li, Zhengming Ding
2020 A* conf
Visual Tactile Fusion Object Clustering.
AAAI
Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding
2020 J jnl
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation.
CoRR
Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding
2019 J jnl
Consensus Clustering: An Embedding Perspective, Extension and Beyond.
CoRR
Hongfu Liu, Zhiqiang Tao, Zhengming Ding
2019 J jnl
Cross-Generation Kinship Verification with Sparse Discriminative Metric.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuyang Wang, Zhengming Ding, Yun Fu
2019 A* conf
Cycle-consistent Conditional Adversarial Transfer Networks.
ACM Multimedia
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
2019 J jnl
Cycle-consistent Conditional Adversarial Transfer Networks.
CoRR
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
2019 J jnl
Deep Transfer Low-Rank Coding for Cross-Domain Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhengming Ding, Yun Fu
2019 J jnl
Discerning Feature Supported Encoder for Image Representation.
IEEE Trans. Image Process.
Shuyang Wang, Zhengming Ding, Yun Fu
2019 J jnl
Dual Low-Rank Decompositions for Robust Cross-View Learning.
IEEE Trans. Image Process.
Zhengming Ding, Yun Fu
2019 A* conf
Generative Correlation Discovery Network for Multi-label Learning.
ICDM
Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu
2019 A* conf
Generative Multi-View Human Action Recognition.
ICCV
Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu
2019 J jnl
Generative One-Shot Face Recognition.
CoRR
Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu
2019 J jnl
Generative Zero-Shot Learning via Low-Rank Embedded Semantic Dictionary.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengming Ding, Ming Shao, Yun Fu
2019 A* conf
Joint Adversarial Domain Adaptation.
ACM Multimedia
Shuang Li, Chi Harold Liu, Binhui Xie, Limin Su, Zhengming Ding, Gao Huang
2019 J jnl
Knowledge Reused Outlier Detection.
IEEE Access
Weiren Yu, Zhengming Ding, Chunming Hu, Hongfu Liu
2019 — book
Learning Representation for Multi-View Data Analysis - Models and Applications
Zhengming Ding, Handong Zhao, Yun Fu
2019 A* conf
Leveraging the Invariant Side of Generative Zero-Shot Learning.
CVPR
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019 J jnl
Leveraging the Invariant Side of Generative Zero-Shot Learning.
CoRR
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019 J jnl
Low-Rank Transfer Human Motion Segmentation.
IEEE Trans. Image Process.
Lichen Wang, Zhengming Ding, Yun Fu
2019 A* conf
Marginalized Latent Semantic Encoder for Zero-Shot Learning.
CVPR
Zhengming Ding, Hongfu Liu
2019 — conf
Online Multi-Task Clustering for Human Motion Segmentation.
ICCV Workshops
Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu
2019 J jnl
Probabilistic Filtered Soft Labels for Domain Adaptation.
CoRR
Wei Wang, Zhihui Wang, Haojie Li, Zhengming Ding
2019 J jnl
Robust Discriminative Metric Learning for Image Representation.
IEEE Trans. Circuits Syst. Video Technol.
Zhengming Ding, Ming Shao, Wonjun Hwang, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu
2019 J jnl
Robust Knowledge Discovery via Low-rank Modeling.
CoRR
Zhengming Ding, Ming Shao
2019 J jnl
Robust Spectral Ensemble Clustering via Rank Minimization.
ACM Trans. Knowl. Discov. Data
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2019 J jnl
Structure-Preserved Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Hongfu Liu, Ming Shao, Zhengming Ding, Yun Fu
2019 J jnl
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst.
Kai Li, Zhengming Ding, Sheng Li, Yun Fu
2019 J jnl
Visual Tactile Fusion Object Clustering.
CoRR
Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhengming Ding
2018 A* conf
Adaptive Graph Guided Embedding for Multi-label Annotation.
IJCAI
Lichen Wang, Zhengming Ding, Yun Fu
2018 J jnl
Consensus Regularized Multi-View Outlier Detection.
IEEE Trans. Image Process.
Handong Zhao, Hongfu Liu, Zhengming Ding, Yun Fu
2018 J jnl
Deep Domain Generalization With Structured Low-Rank Constraint.
IEEE Trans. Image Process.
Zhengming Ding, Yun Fu
2018 A* conf
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification.
AAAI
Kai Li, Zhengming Ding, Sheng Li, Yun Fu
2018 J jnl
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
IEEE Trans. Image Process.
Shuang Li, Shiji Song, Gao Huang, Zhengming Ding, Cheng Wu
2018 J jnl
Ensemble Subspace Segmentation Under Blockwise Constraints.
IEEE Trans. Circuits Syst. Video Technol.
Handong Zhao, Zhengming Ding, Yun Fu
2018 — conf
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification.
ICBK
Zhengming Ding, Ming Shao, Sheng Li, Yun Fu
2018 — conf
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation.
ECCV (2)
Zhengming Ding, Sheng Li, Ming Shao, Yun Fu
2018 J jnl
Incomplete Multisource Transfer Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhengming Ding, Ming Shao, Yun Fu
2018 B conf
Kinship Classification through Latent Adaptive Subspace.
FG
Yue Wu, Zhengming Ding, Hongfu Liu, Joseph P. Robinson, Yun Fu
2018 A* conf
Latent Discriminant Subspace Representations for Multi-View Outlier Detection.
AAAI
Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu
2018 A* conf
Learning Transferable Subspace for Human Motion Segmentation.
AAAI
Lichen Wang, Zhengming Ding, Yun Fu
2018 J jnl
Marginalized Denoising Dictionary Learning With Locality Constraint.
IEEE Trans. Image Process.
Shuyang Wang, Zhengming Ding, Yun Fu
2018 B conf
One-Shot Face Recognition via Generative Learning.
FG
Zhengming Ding, Yandong Guo, Lei Zhang, Yun Fu
2018 A* conf
Partial Multi-view Clustering via Consistent GAN.
ICDM
Qianqian Wang, Zhengming Ding, Zhiqiang Tao, Quanxue Gao, Yun Fu
2018 A* conf
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption.
IJCAI
Zhengming Ding, Ming Shao, Yun Fu
2018 J jnl
Robust Multiview Data Analysis Through Collective Low-Rank Subspace.
IEEE Trans. Neural Networks Learn. Syst.
Zhengming Ding, Yun Fu
2018 J jnl
Semi-supervised Deep Domain Adaptation via Coupled Neural Networks.
IEEE Trans. Image Process.
Zhengming Ding, Nasser M. Nasrabadi, Yun Fu
2018 A* conf
Support Neighbor Loss for Person Re-Identification.
ACM Multimedia
Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
2018 J jnl
Support Neighbor Loss for Person Re-Identification.
CoRR
Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu
2017 A* conf
Deep Active Learning Through Cognitive Information Parcels.
ACM Multimedia
Wencang Zhao, Yu Kong, Zhengming Ding, Yun Fu
2017 A* conf
Deep Low-rank Sparse Collective Factorization for Cross-Domain Recommendation.
ACM Multimedia
Shuhui Jiang, Zhengming Ding, Yun Fu
2017 J jnl
Deeply Learned View-Invariant Features for Cross-View Action Recognition.
IEEE Trans. Image Process.
Yu Kong, Zhengming Ding, Jun Li, Yun Fu
2017 A* conf
Feature Selection Guided Auto-Encoder.
AAAI
Shuyang Wang, Zhengming Ding, Yun Fu
2017 A* conf
From Ensemble Clustering to Multi-View Clustering.
IJCAI
Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu
2017 A* conf
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning.
CVPR
Zhengming Ding, Ming Shao, Yun Fu
2017 A* conf
Multi-View Clustering via Deep Matrix Factorization.
AAAI
Handong Zhao, Zhengming Ding, Yun Fu
2017 J jnl
Robust Transfer Metric Learning for Image Classification.
IEEE Trans. Image Process.
Zhengming Ding, Yun Fu
2016 A* conf
Coupled Marginalized Auto-Encoders for Cross-Domain Multi-View Learning.
IJCAI
Shuyang Wang, Zhengming Ding, Yun Fu
2016 — conf
Deep Robust Encoder Through Locality Preserving Low-Rank Dictionary.
ECCV (6)
Zhengming Ding, Ming Shao, Yun Fu
2016 A* conf
Pose-Dependent Low-Rank Embedding for Head Pose Estimation.
AAAI
Handong Zhao, Zhengming Ding, Yun Fu
2016 A* conf
Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions.
AAAI
Zhengming Ding, Yun Fu
2016 A* conf
Spectral Bisection Tree Guided Deep Adaptive Exemplar Autoencoder for Unsupervised Domain Adaptation.
AAAI
Ming Shao, Zhengming Ding, Handong Zhao, Yun Fu
2016 Misc conf
Task-driven deep transfer learning for image classification.
ICASSP
Zhengming Ding, Nasser M. Nasrabadi, Yun Fu
2016 B conf
Transfer learning for image classification with incomplete multiple sources.
IJCNN
Zhengming Ding, Ming Shao, Yun Fu
2015 B conf
Block-wise constrained sparse graph for face image representation.
FG
Handong Zhao, Zhengming Ding, Yun Fu
2015 A* conf
Deep Linear Coding for Fast Graph Clustering.
IJCAI
Ming Shao, Sheng Li, Zhengming Ding, Yun Fu
2015 A* conf
Deep Low-Rank Coding for Transfer Learning.
IJCAI
Zhengming Ding, Ming Shao, Yun Fu
2015 B conf
Discriminative low-rank metric learning for face recognition.
FG
Zhengming Ding, Sungjoo Suh, Jae-Joon Han, Changkyu Choi, Yun Fu
2015 J jnl
Missing Modality Transfer Learning via Latent Low-Rank Constraint.
IEEE Trans. Image Process.
Zhengming Ding, Ming Shao, Yun Fu
2015 A* conf
Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning.
ICDM
Handong Zhao, Zhengming Ding, Ming Shao, Yun Fu
2015 B conf
Sparse low-rank fusion based deep features for missing modality face recognition.
FG
Ming Shao, Zhengming Ding, Yun Fu
2014 A* conf
Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition.
AAAI
Zhengming Ding, Ming Shao, Yun Fu
2014 A* conf
Latent Tensor Transfer Learning for RGB-D Action Recognition.
ACM Multimedia
Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu
2014 A* conf
Low-Rank Common Subspace for Multi-view Learning.
ICDM
Zhengming Ding, Yun Fu
2013 J jnl
Locally connected graph for visual tracking.
Neurocomputing
Ke Lu, Zhengming Ding, Sam S. Ge
2012 J jnl
Locally connected graph embedding for semisupervised image classification.
J. Electronic Imaging
Ke Lu, Zhengming Ding, Jidong Zhao
2012 J jnl
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition.
IEEE Trans. Intell. Transp. Syst.
Ke Lu, Zhengming Ding, Sam S. Ge