World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13254
World Ranking
4523
National Ranking
603

Overview

Pan Zhou is affiliated with Huazhong University of Science and Technology in China and has a significant number of publications primarily focused on computer science. Their research contributions span a variety of subfields and topics within this domain, reflecting a broad interest in advanced technological areas.

The main fields of study for Pan Zhou include:

  • Computer Science

Within computer science, Pan Zhou's work is concentrated in several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems

The scientist's research engages deeply with several main topics, which are:

  • Multimodal Machine Learning Applications
  • Privacy-Preserving Technologies in Data
  • Human Pose and Action Recognition
  • IoT and Edge/Fog Computing
  • Adversarial Robustness in Machine Learning
  • Age of Information Optimization
  • Video Analysis and Summarization

Pan Zhou's recent publications highlight a focus on image processing, reinforcement learning, mobile and edge computing, and secure data management. Selected recent papers include:

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision (2021), published in IEEE Transactions on Image Processing
  • Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks (2020), IEEE Transactions on Vehicular Technology
  • Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing (2021), IEEE Access
  • Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0 (2020), IEEE Internet of Things Journal
  • GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare (2020), Journal of Parallel and Distributed Computing

The scientist has coauthored extensively with several researchers, with frequent collaborators including:

  • Zichuan Xu
  • Daizong Liu
  • Dapeng Wu
  • Xiaoye Qu
  • Weifa Liang

Pan Zhou has a notable presence in a variety of publication venues. The most frequent publishing outlets include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Network Science and Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Mobile Computing

Best Publications

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision

    Yifan Jiang;Xinyu Gong;Ding Liu;Yu Cheng

  • A Survey of Model Compression and Acceleration for Deep Neural Networks

    Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

  • Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

    Yu Cheng;Duo Wang;Pan Zhou;Tao Zhang

  • Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

    Jie Xu;Lixing Chen;Pan Zhou

  • Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-identification

    Shuangjie Xu;Yu Cheng;Kang Gu;Yang Yang

  • Multi-Agent Deep Reinforcement Learning for Urban Traffic Light Control in Vehicular Networks

    Tong Wu;Pan Zhou;Kai Liu;Yali Yuan

  • Sentiment Analysis Using Convolutional Neural Network

    Xi Ouyang;Pan Zhou;Cheng Hua Li;Lijun Liu

  • Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning

    Ronghui Ju;Chenhui Hu;Pan Zhou;Quanzheng Li

  • CLU-CNNs: Object detection for medical images

    Zhuoling Li;Minghui Dong;Shiping Wen;Xiang Hu

  • Client Selection for Federated Learning With Non-IID Data in Mobile Edge Computing

    Wenyu Zhang;Xiumin Wang;Pan Zhou;Weiwei Wu

  • Routing and Scheduling for Hybrid Truck-Drone Collaborative Parcel Delivery With Independent and Truck-Carried Drones

    Desheng Wang;Peng Hu;Jingxuan Du;Pan Zhou

  • Early Fault Detection Approach With Deep Architectures

    Weining Lu;Yipeng Li;Yu Cheng;Deshan Meng

  • Collaborative Service Placement for Edge Computing in Dense Small Cell Networks

    Lixing Chen;Cong Shen;Pan Zhou;Jie Xu

  • GuardHealth: Blockchain empowered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare

    Unknown

  • Multiagent Deep Reinforcement Learning for Joint Multichannel Access and Task Offloading of Mobile-Edge Computing in Industry 4.0

    Zilong Cao;Pan Zhou;Ruixuan Li;Siqi Huang

  • Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

    Daizong Liu;Xiaoye Qu;Jianfeng Dong;Pan Zhou

  • A Hybrid Genetic Algorithm on Routing and Scheduling for Vehicle-Assisted Multi-Drone Parcel Delivery

    Kai Peng;Jingxuan Du;Fang Lu;Qianguo Sun

  • Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization

    Daizong Liu;Xiaoye Qu;Xiao-Yang Liu;Jianfeng Dong

  • A Convolutional Neural Network for Leaves Recognition Using Data Augmentation

    Chaoyun Zhang;Pan Zhou;Chenghua Li;Lijun Liu

  • Robust discrete code modeling for supervised hashing

    Yadan Luo;Yang Yang;Fumin Shen;Zi Huang

  • Joint Power and Rate Control in Cognitive Radio Networks: A Game-Theoretical Approach

    Pan Zhou;Wei Yuan;Wei Liu;Wenqing Cheng

  • Federated Mutual Learning

    Tao Shen;Jie Zhang;Xinkang Jia;Fengda Zhang

Frequent Co-Authors

Zichuan Xu
Zichuan Xu Dalian University of Technology
Dapeng Wu
Dapeng Wu City University of Hong Kong
Yu Cheng
Yu Cheng Microsoft (United States)
Shiping Wen
Shiping Wen University of Technology Sydney
Shouling Ji
Shouling Ji Zhejiang University
Kaigui Bian
Kaigui Bian Peking University
Weifa Liang
Weifa Liang City University of Hong Kong
Hai Jin
Hai Jin Huazhong University of Science and Technology
Patrick P. C. Lee
Patrick P. C. Lee Chinese University of Hong Kong
Wenzheng Xu
Wenzheng Xu Sichuan University

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