2026 Zhengming Ding: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	51	5407	5254	2470	2385	171	8821

Overview

Zhengming Ding is affiliated with Tulane University in the United States. Their research primarily centers on computer science, with a focus on artificial intelligence and computer vision. The scientist has published extensively in related subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, and Cancer Research.

The work of Zhengming Ding covers a broad spectrum of topics within machine learning and its applications, especially:

Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Machine Learning and Extreme Learning Machines (ELM)
Video Surveillance and Tracking Methods
Human Pose and Action Recognition
Advanced Neural Network Applications
Cancer-related molecular mechanisms research

Frequent co-authors collaborating with Zhengming Ding include:

Taotao Jing
Haifeng Xia
Gan Sun
Jihun Hamm
Yang Cong

The main publication venues for Zhengming Ding's research include:

arXiv (Cornell University)
IEEE Transactions on Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the AAAI Conference on Artificial Intelligence
bioRxiv (Cold Spring Harbor Laboratory)

Selected recent publications by Zhengming Ding demonstrate a focus on machine learning techniques applied to vision and biomedical data:

"3D Human Pose Estimation with Spatial and Temporal Transformers," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification," 2021, published in Nature Communications
"Maximum Density Divergence for Domain Adaptation," 2020, featured in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Adaptive Adversarial Network for Source-free Domain Adaptation," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
"Deep Residual Correction Network for Partial Domain Adaptation," 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence

With a publication record focused heavily on domain adaptation methods and multimodal data integration, Zhengming Ding's work contributes to advances in transfer learning frameworks and biomedical informatics. Their research often involves neural networks and advanced machine learning architectures applied to diverse data types including images and molecular datasets.

Best Publications

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Tongxin Wang;Wei Shao;Zhi Huang;Zhi Huang;Haixu Tang

534
Citations
Multi-View Clustering via Deep Matrix Factorization.

Handong Zhao;Zhengming Ding;Yun Fu

489
Citations
Leveraging the Invariant Side of Generative Zero-Shot Learning

Jingjing Li;Mengmeng Jing;Ke Lu;Zhengming Ding

342
Citations
Maximum Density Divergence for Domain Adaptation

Jingjing Li;Erpeng Chen;Zhengming Ding;Lei Zhu

312
Citations
Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation

Shuang Li;Shiji Song;Gao Huang;Zhengming Ding

266
Citations
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

Unknown

215
Citations
Robust Transfer Metric Learning for Image Classification

Zhengming Ding;Yun Fu

186
Citations
Adaptive Adversarial Network for Source-Free Domain Adaptation

Haifeng Xia;Handong Zhao;Zhengming Ding

175
Citations
Low-Rank Common Subspace for Multi-view Learning

Zhengming Ding;Yun Fu

157
Citations
Deep Residual Correction Network for Partial Domain Adaptation

Shuang Li;Chi Harold Liu;Qiuxia Lin;Qi Wen

154
Citations
Partial Multi-view Clustering via Consistent GAN

Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

148
Citations
Leveraging the Invariant Side of Generative Zero-Shot Learning

Jingjing Li;Mengmeng Jin;Ke Lu;Zhengming Ding

147
Citations
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation.

Jiahua Dong;Yang Cong;Gan Sun;Zhen Fang

142
Citations
Generative Partial Multi-View Clustering With Adaptive Fusion and Cycle Consistency

Qianqian Wang;Zhengming Ding;Zhiqiang Tao;Quanxue Gao

141
Citations
From Ensemble Clustering to Multi-View Clustering.

Zhiqiang Tao;Hongfu Liu;Sheng Li;Zhengming Ding

139
Citations
Deep Domain Generalization With Structured Low-Rank Constraint

Zhengming Ding;Yun Fu

135
Citations
Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning

Zhengming Ding;Ming Shao;Yun Fu

133
Citations
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Zhengming Ding;Sheng Li;Ming Shao;Yun Fu

128
Citations
Generative Multi-View Human Action Recognition

Lichen Wang;Zhengming Ding;Zhiqiang Tao;Yunyu Liu

116
Citations
Latent low-rank transfer subspace learning for missing modality recognition

Zhengming Ding;Ming Shao;Yun Fu

115
Citations
Divergence-agnostic Unsupervised Domain Adaptation by Adversarial Attacks.

Jingjing Li;Zhekai Du;Lei Zhu;Zhengming Ding

114
Citations
Joint Adversarial Domain Adaptation

Shuang Li;Chi Harold Liu;Binhui Xie;Limin Su

109
Citations
Consensus Regularized Multi-View Outlier Detection

Handong Zhao;Hongfu Liu;Zhengming Ding;Yun Fu

104
Citations

Frequent Co-Authors

Yun Fu Northeastern University

Sheng Li University of Virginia

Lei Zhu Tongji University

Chi Harold Liu Beijing Institute of Technology

Gao Huang Tsinghua University

Zi Huang University of Queensland

Haixu Tang Indiana University

Nasser M. Nasrabadi West Virginia University

Quanxue Gao Xidian University

Heng Tao Shen University of Electronic Science and Technology of China

External Links

Personal website of Zhengming Ding Google Scholar page

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