World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12601
World Ranking
5029
National Ranking
676

Electronics and Electrical Engineering

D-Index
51
Citations
11773
World Ranking
2623
National Ranking
433

Research.com Recognitions

  • 2007 - SPIE Fellow

Overview

Chang Wen Chen is affiliated with Hong Kong Polytechnic University in China and specializes in research primarily within computer science and engineering.

The scientist's research focuses on multiple subfields, including:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Plant Science
  • Computer Networks and Communications

Main topics covered in their work encompass:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Wireless Communication Technologies
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Plant Physiology and Cultivation Studies
  • Video Analysis and Summarization

Chang Wen Chen has contributed frequently to multiple publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Vehicular Technology

Selected recent papers include:

  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond," 2021, ACM Computing Surveys
  • "An integrated peach genome structural variation map uncovers genes associated with fruit traits," 2020, Genome Biology
  • "Internet of Video Things: Next-Generation IoT With Visual Sensors," 2020, IEEE Internet of Things Journal
  • "UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection," 2022, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images," 2024, IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators in research efforts include:

  • Hancheng Lu
  • Weichao Fang
  • Lirong Wang
  • Ke Cao
  • Jinlong Wu

Recognition includes the award of SPIE Fellow in 2007.

Best Publications

  • Compressive data gathering for large-scale wireless sensor networks

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • Joint source channel rate-distortion analysis for adaptive mode selection and rate control in wireless video coding

    Zhihai He;Jianfei Cai;Chang Wen Chen

  • Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications

    C.W. Chen;J. Luo;K.J. Parker

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • A-Lamp: Adaptive Layout-Aware Multi-patch Deep Convolutional Neural Network for Photo Aesthetic Assessment

    Shuang Ma;Jing Liu;Chang Wen Chen

  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior

    Jing Zhang;Yang Cao;Shuai Fang;Yu Kang

  • Modeling, analysis, and visualization of left ventricle shape and motion by hierarchical decomposition

    Chang Wen Chen;T.S. Huang;M. Arrott

  • Cloud Mobile Media: Reflections and Outlook

    Yonggang Wen;Xiaoqing Zhu;Joel J. P. C. Rodrigues;Chang Wen Chen

  • QoE in Video Transmission: A User Experience-Driven Strategy

    Tiesong Zhao;Qian Liu;Chang Wen Chen

  • Medium Access Control for Wireless Body Area Networks with QoS Provisioning and Energy Efficient Design

    Bin Liu;Zhisheng Yan;Chang Wen Chen

  • DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

  • Scalable H.264/AVC Video Transmission Over MIMO Wireless Systems With Adaptive Channel Selection Based on Partial Channel Information

    Daewon Song;Chang Wen Chen

  • Towards Efficient Privacy-preserving Image Feature Extraction in Cloud Computing

    Zhan Qin;Jingbo Yan;Kui Ren;Chang Wen Chen

  • New Depth Coding Techniques With Utilization of Corresponding Video

    Shujie Liu;PoLin Lai;Dong Tian;Chang Wen Chen

  • Virtual View Reconstruction Using Temporal Information

    Shujie Liu;Philip A. Chou;Cha Zhang;Zhengyou Zhang

  • Artifact reduction in low bit rate DCT-based image compression

    Jiebo Luo;Chang Wen Chen;K.J. Parker;T.S. Huang

  • Optimal Power Allocation for Hybrid Overlay/Underlay Spectrum Sharing in Multiband Cognitive Radio Networks

    Junni Zou;Hongkai Xiong;Dawei Wang;Chang Wen Chen

  • DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)

    Shuang Ma;Jianlong Fu;Chang Wen Chen;Tao Mei

Frequent Co-Authors

Jianfei Cai
Jianfei Cai Monash University
Kevin J. Parker
Kevin J. Parker University of Rochester
Jiebo Luo
Jiebo Luo University of Rochester
Houqiang Li
Houqiang Li University of Science and Technology of China
Feng Wu
Feng Wu University of Science and Technology of China
Zhihai He
Zhihai He University of Missouri
Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Tao Mei
Tao Mei Jingdong (China)
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University

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