World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
32480
World Ranking
1127
National Ranking
61

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Jun Wang is affiliated with University College London in the United Kingdom and has a research portfolio spanning several areas within computer science and engineering. Their work encompasses multiple fields including electrical and electronic engineering, computer networks and communications, computer vision and pattern recognition, artificial intelligence, and information systems.

Their research topics include network security and intrusion detection, underwater acoustics research, privacy-preserving technologies in data, EEG and brain-computer interfaces, neural dynamics and brain function, functional brain connectivity studies, and IoT and edge/fog computing.

Jun Wang's frequent publication venues reflect a strong presence in both open-access and IEEE journals, notably:

  • arXiv (Cornell University)
  • IEEE Access
  • Applied Acoustics
  • Data Mining and Knowledge Discovery
  • Applied Mathematics and Nonlinear Sciences

Their recent papers illustrate the breadth of their research:

  • Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals, 2020, Frontiers in Neuroscience
  • Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey, 2022, IEEE Internet of Things Journal
  • ARFV: An Efficient Shared Data Auditing Scheme Supporting Revocation for Fog-Assisted Vehicular Ad-Hoc Networks, 2020, IEEE Transactions on Vehicular Technology
  • Multimodal Encoder-Decoder Attention Networks for Visual Question Answering, 2020, IEEE Access
  • Reinforcement-Based Robust Variable Pitch Control of Wind Turbines, 2020, IEEE Access

Coauthorship collaborations are a notable aspect of Jun Wang's work. Frequent coauthors include:

  • Jen Q. Pan
  • Shaun Purcell
  • Zhishan Guo
  • Michael Murphy
  • Chenguang Jiang

The interdisciplinary nature of their work spans computer science with a particular focus on the applications of machine learning, neural signal processing, IoT security, and robust control mechanisms. This focus is reflected in their contributions to conferences and journals specializing in computational intelligence, network security, vehicular technology, and brain-computer interfacing.

Best Publications

  • Seqgan: sequence generative adversarial nets with policy gradient

    Lantao Yu;Weinan Zhang;Jun Wang;Yong Yu

  • Supervised hashing with kernels

    Wei Liu;Jun Wang;Rongrong Ji;Yu-Gang Jiang

  • Hashing with Graphs

    Wei Liu;Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Unifying user-based and item-based collaborative filtering approaches by similarity fusion

    Jun Wang;Arjen P. de Vries;Marcel J. T. Reinders

  • Semi-Supervised Hashing for Large-Scale Search

    Jun Wang;S. Kumar;Shih-Fu Chang

  • IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

    Jun Wang;Lantao Yu;Weinan Zhang;Yu Gong

  • Semi-supervised hashing for scalable image retrieval

    Jun Wang;Sanjiv Kumar;Shih-Fu Chang

  • TRIBLER: a social‐based peer‐to‐peer system

    JA Pouwelse;P Garbacki;J Jun Wang;Arthur Bakker

  • Product-Based Neural Networks for User Response Prediction

    Yanru Qu;Han Cai;Kan Ren;Weinan Zhang

  • Efficient Architecture Search by Network Transformation

    Han Cai;Tianyao Chen;Weinan Zhang;Yong Yu

  • Learning to Hash for Indexing Big Data—A Survey

    Jun Wang;Wei Liu;Sanjiv Kumar;Shih-Fu Chang

  • Long Text Generation via Adversarial Training with Leaked Information

    Jiaxian Guo;Sidi Lu;Han Cai;Weinan Zhang

  • Deep Learning over Multi-field Categorical Data

    Weinan Zhang;Tianming Du;Jun Wang

  • Texygen: A Benchmarking Platform for Text Generation Models

    Yaoming Zhu;Sidi Lu;Lei Zheng;Jiaxian Guo

  • Graph construction and b-matching for semi-supervised learning

    Tony Jebara;Jun Wang;Shih-Fu Chang

  • Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks

    Yu-Gang Jiang;Zuxuan Wu;Jun Wang;Xiangyang Xue

  • Self-taught hashing for fast similarity search

    Dell Zhang;Jun Wang;Deng Cai;Jinsong Lu

  • Mean Field Multi-Agent Reinforcement Learning

    Yaodong Yang;Rui Luo;Minne Li;Ming Zhou

  • Sequential Projection Learning for Hashing with Compact Codes

    Jun Wang;Sanjiv Kumar;Shih-fu Chang

  • Deep learning over Multi-Field categorical Data - A case study on user response prediction

    Weinan Zhang;Tianming Du;Jun Wang

  • Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games.

    Peng Peng;Quan Yuan;Ying Wen;Yaodong Yang

Frequent Co-Authors

Weinan Zhang
Weinan Zhang Shanghai Jiao Tong University
Yong Yu
Yong Yu Shanghai Jiao Tong University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Marcel J. T. Reinders
Marcel J. T. Reinders Delft University of Technology
Dawei Song
Dawei Song The Open University
Johan Pouwelse
Johan Pouwelse Delft University of Technology
Kush R. Varshney
Kush R. Varshney IBM (United States)
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Wei Pan
Wei Pan University of Hong Kong

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