2026 Tong Zhang: 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	119	152	147	89	86	442	53153

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award
2013 - Fellow of the American Statistical Association (ASA)

Overview

Tong Zhang is affiliated with the University of Illinois at Urbana-Champaign in the United States and specializes in computer science with a focus on computer vision and pattern recognition, artificial intelligence, automotive engineering, renewable energy, sustainability, and media technology. Their work prominently covers the intersection of advanced image processing and machine learning techniques.

Their research topics include:

Advanced Image and Video Retrieval Techniques
Visual Attention and Saliency Detection
Topic Modeling
Natural Language Processing Techniques
Advanced Vision and Imaging
Advanced Neural Network Applications
Machine Learning and Data Classification

Tong Zhang has published extensively, with 74 publications primarily in computer science. Their frequent publication venues include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
SSRN Electronic Journal
Pattern Recognition

Selected recent papers include:

Optimal Feature Transport for Cross-View Image Geo-Localization (2020), Proceedings of the AAAI Conference on Artificial Intelligence
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders (2020), arXiv (Cornell University)
Semi-supervised Active Salient Object Detection (2021), Pattern Recognition
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment (2023), arXiv (Cornell University)

Frequent collaborators of Tong Zhang include:

Sabine Süsstrunk
Yuchao Dai
Mathieu Salzmann
Jipeng Zhang
Shizhe Diao

Tong Zhang was awarded the title of Fellow of the American Statistical Association (ASA) in 2013.

Best Publications

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction

Rie Johnson;Tong Zhang

2602
Citations
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data

Rie Kubota Ando;Tong Zhang

1676
Citations
Solving large scale linear prediction problems using stochastic gradient descent algorithms

Tong Zhang

1449
Citations
Stochastic dual coordinate ascent methods for regularized loss

Shai Shalev-Shwartz;Tong Zhang

1223
Citations
Text Mining: Predictive Methods for Analyzing Unstructured Information

Sholom M. Weiss;Nitin Indurkhya;Tong Zhang;Fred Damerau

1127
Citations
Statistical behavior and consistency of classification methods based on convex risk minimization

Tong Zhang

984
Citations
Nonlinear Learning using Local Coordinate Coding

Kai Yu;Tong Zhang;Yihong Gong

933
Citations
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

Rie Johnson;Tong Zhang

906
Citations
Efficient mini-batch training for stochastic optimization

Mu Li;Tong Zhang;Yuqiang Chen;Alexander J. Smola

899
Citations
A PROXIMAL STOCHASTIC GRADIENT METHOD WITH PROGRESSIVE VARIANCE REDUCTION

Lin Xiao;Tong Zhang;Tong Zhang

822
Citations
Deep pyramid convolutional neural networks for text categorization

Rie Johnson;Tong Zhang

754
Citations
Image classification using super-vector coding of local image descriptors

Xi Zhou;Kai Yu;Tong Zhang;Thomas S. Huang

740
Citations
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information

John Langford;Tong Zhang

649
Citations
Named entity recognition through classifier combination

Radu Florian;Abe Ittycheriah;Hongyan Jing;Tong Zhang

648
Citations
The Benefit of Group Sparsity

Junzhou Huang;Tong Zhang

612
Citations
Learning with Structured Sparsity

Junzhou Huang;Tong Zhang;Dimitris Metaxas

601
Citations
Sparse Online Learning via Truncated Gradient

John Langford;Lihong Li;Tong Zhang

577
Citations
Analysis of Multi-stage Convex Relaxation for Sparse Regularization

Tong Zhang

559
Citations
Spatial–Temporal Recurrent Neural Network for Emotion Recognition

Tong Zhang;Wenming Zheng;Zhen Cui;Yuan Zong

556
Citations
Rank-One Approximation to High Order Tensors

Tong Zhang;Gene H. Golub

554
Citations
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Ohad Shamir;Tong Zhang

524
Citations
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

Shai Shalev-Shwartz;Tong Zhang

152
Citations
Image classification using supervector coding of local image descriptors

Xi Zhou;Kai Yu;Tong Zhang;Thomas S. Huang

4
Citations

Frequent Co-Authors

Daniel Hsu Columbia University

Wei Liu Tencent (China)

Han Liu Northwestern University

Sham M. Kakade Harvard University

Zhaopeng Tu Tencent (China)

Ping Li Baidu (China)

Ji Liu Facebook (United States)

John Langford Microsoft (United States)

Shuming Shi Tencent (China)

Peilin Zhao Tencent (China)

External Links

Personal website of Tong Zhang Google Scholar page

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