2026 Jian Tang: 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	60	3225	3131	1565	1507	238	14961

Research.com Recognitions

2019 - ACM Distinguished Member

Overview

Jian Tang is affiliated with Syracuse University in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence and related subfields.

Their research spans several specific areas within computer science, including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Molecular Biology
Computer Networks and Communications
Control and Systems Engineering

They have worked on a variety of research topics, with notable focus on:

Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Advanced Graph Neural Networks
Computational Drug Discovery Methods
Machine Learning in Materials Science
Multimodal Machine Learning Applications
Human Pose and Action Recognition

Jian Tang has published extensively in recognized venues, including:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Mobile Computing
IEEE Transactions on Network Science and Engineering

Recent notable papers include:

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation, 2020, arXiv (Cornell University)
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction, 2021, IEEE Transactions on Neural Networks and Learning Systems
Multi-modal molecule structure-text model for text-based retrieval and editing, 2023, Nature Machine Intelligence

Jian Tang has collaborated frequently with several coauthors, including:

Zhengping Che
Zhiyuan Xu
Yanzhi Wang
Shengchao Liu
Chi Harold Liu

Their work has been acknowledged by accolades such as the ACM Distinguished Member award in 2019.

Best Publications

Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing

Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang

1193
Citations
Interference-aware topology control and QoS routing in multi-channel wireless mesh networks

Jian Tang;Guoliang Xue;Weiyi Zhang

679
Citations
Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

Chi Harold Liu;Zheyu Chen;Jian Tang;Jie Xu

580
Citations
A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers

Tianyun Zhang;Shaokai Ye;Kaiqi Zhang;Jian Tang

485
Citations
Relay node placement in large scale wireless sensor networks

Jian Tang;Bin Hao;Arunabha Sen

460
Citations
Incentive mechanisms for crowdsensing: crowdsourcing with smartphones

Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang

459
Citations
Experience-driven Networking: A Deep Reinforcement Learning based Approach

Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang

444
Citations
Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach

Jing Wang;Jian Tang;Zhiyuan Xu;Yanzhi Wang

381
Citations
Optimizing Electric Vehicle Charging: A Customer's Perspective

Chenrui Jin;Jian Tang;Prasanta Ghosh

299
Citations
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

Ning Liu;Zhe Li;Jielong Xu;Zhiyuan Xu

295
Citations
Optimizing Electric Vehicle Charging With Energy Storage in the Electricity Market

Chenrui Jin;Jian Tang;P. Ghosh

289
Citations
A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs

Zhiyuan Xu;Yanzhi Wang;Jian Tang;Jing Wang

277
Citations
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning

Chi Harold Liu;Xiaoxin Ma;Xudong Gao;Jian Tang

264
Citations
T-Storm: Traffic-Aware Online Scheduling in Storm

Jielong Xu;Zhenhua Chen;Jian Tang;Sen Su

263
Citations
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

253
Citations
Sensing as a Service: Challenges, Solutions and Future Directions

Xiang Sheng;Jian Tang;Xuejie Xiao;Guoliang Xue

238
Citations
Constrained relay node placement in wireless sensor networks: formulation and approximations

Satyajayant Misra;Seung Don Hong;Guoliang Xue;Jian Tang

228
Citations
Truthful incentive mechanisms for crowdsourcing

Xiang Zhang;Guoliang Xue;Ruozhou Yu;Dejun Yang

212
Citations
Polynomial time approximation algorithms for multi-constrained QoS routing

Guoliang Xue;Weiyi Zhang;Jian Tang;Krishnaiyan Thulasiraman

210
Citations
Energy-efficient collaborative sensing with mobile phones

Xiang Sheng;Jian Tang;Weiyi Zhang

203
Citations
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices

Caiwen Ding;Siyu Liao;Yanzhi Wang;Zhe Li

187
Citations

Frequent Co-Authors

Guoliang Xue Arizona State University

Yanzhi Wang Northeastern University

Guangyu Zhang Chinese Academy of Sciences

Dejun Yang Colorado School of Mines

Yoshua Bengio University of Montreal

Qiaozhu Mei University of Michigan–Ann Arbor

Chi Harold Liu Beijing Institute of Technology

Kenji Watanabe National Institute for Materials Science

Takashi Taniguchi National Institute for Materials Science

Bo Yuan Rutgers, The State University of New Jersey

External Links

Personal website of Jian Tang Google Scholar page

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