World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
14885
World Ranking
3601
National Ranking
479

Overview

Shiqi Wang is affiliated with the City University of Hong Kong in China and has a significant body of work in the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Their research contributions span several subfields including Artificial Intelligence, Signal Processing, Media Technology, and Electrical and Electronic Engineering.

The scientist has explored a range of topics within advanced image processing techniques. Key areas of work include image and video quality assessment, advanced data compression techniques, image enhancement techniques, video coding and compression technologies, advanced vision and imaging, and face recognition and analysis.

Shiqi Wang's recent research publications include studies published in prominent venues such as IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing. Notable papers include:

  • Image Quality Assessment: Unifying Structure and Texture Similarity, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement, 2021, IEEE Transactions on Image Processing
  • Single Image Deraining: From Model-Based to Data-Driven and Beyond, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality, 2021, IEEE Transactions on Image Processing
  • Towards Unsupervised Deep Image Enhancement With Generative Adversarial Network, 2020, IEEE Transactions on Image Processing

Throughout their career, Shiqi Wang has collaborated frequently with several researchers, including Sam Kwong, Baoliang Chen, Haoliang Li, Wenhan Yang, and Meng Wang. These collaborations have contributed to a body of work with a high level of interdisciplinary engagement and depth.

The scientist has published extensively in several venues. The most common publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • SSRN Electronic Journal

Shiqi Wang's research is situated at the intersection of theoretical and applied aspects of image processing and computer vision, leveraging data-driven methods and signal processing techniques to address challenges in image enhancement, quality assessment, and related computational imaging domains.

Best Publications

  • Domain Generalization with Adversarial Feature Learning

    Haoliang Li;Sinno Jialin Pan;Shiqi Wang;Alex C. Kot

  • Image Quality Assessment: Unifying Structure and Texture Similarity.

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

  • Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement

    Wenhan Yang;Wenjing Wang;Haofeng Huang;Shiqi Wang

  • From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

    Shiqi Wang;Kede Ma;Hojatollah Yeganeh;Zhou Wang

  • Image and Video Compression With Neural Networks: A Review

    Siwei Ma;Xinfeng Zhang;Chuanmin Jia;Zhenghui Zhao

  • VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild

    Yihang Lou;Yan Bai;Jun Liu;Shiqi Wang

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • Single Image Deraining: From Model-Based to Data-Driven and Beyond

    Wenhan Yang;Robby T. Tan;Shiqi Wang;Yuming Fang

  • Group-Sensitive Triplet Embedding for Vehicle Reidentification

    Yan Bai;Yihang Lou;Feng Gao;Shiqi Wang

  • Unsupervised Domain Adaptation for Face Anti-Spoofing

    Haoliang Li;Wen Li;Hong Cao;Shiqi Wang

  • SSIM-Motivated Rate-Distortion Optimization for Video Coding

    Shiqi Wang;A. Rehman;Zhou Wang;Siwei Ma

  • Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

    Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma

  • Comparison of Image Quality Models for Optimization of Image Processing Systems

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

  • Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality

    Wenhan Yang;Shiqi Wang;Yuming Fang;Yue Wang

  • Learning Generalized Deep Feature Representation for Face Anti-Spoofing

    Haoliang Li;Peisong He;Shiqi Wang;Anderson Rocha

  • Embedding Adversarial Learning for Vehicle Re-Identification

    Yihang Lou;Yan Bai;Jun Liu;Shiqi Wang

  • Content-Aware Convolutional Neural Network for In-Loop Filtering in High Efficiency Video Coding

    Chuanmin Jia;Shiqi Wang;Xinfeng Zhang;Shanshe Wang

  • Quality Prediction of Asymmetrically Distorted Stereoscopic 3D Images

    Jiheng Wang;Abdul Rehman;Kai Zeng;Shiqi Wang

  • Analysis of Distortion Distribution for Pooling in Image Quality Prediction

    Ke Gu;Shiqi Wang;Guangtao Zhai;Weisi Lin

  • No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features

    Leida Li;Wenhan Xia;Weisi Lin;Yuming Fang

  • Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems

    Keyan Ding;Kede Ma;Shiqi Wang;Eero P. Simoncelli

Frequent Co-Authors

Siwei Ma
Siwei Ma Peking University
Wen Gao
Wen Gao Peking University
Sam Kwong
Sam Kwong Lingnan University
Ling-Yu Duan
Ling-Yu Duan Peking University
Weisi Lin
Weisi Lin Nanyang Technological University
Alex C. Kot
Alex C. Kot Nanyang Technological University
Wenhan Yang
Wenhan Yang Peking University
Ke Gu
Ke Gu Beijing University of Technology
Zhou Wang
Zhou Wang University of Waterloo
Tiejun Huang
Tiejun Huang Peking University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in technology opens up a variety of career pathways for computer science students. One practical option is pursuing a data scientist degree, which can lead to high-demand roles in analytics, AI, and machine learning. Another strong choice is an online master’s in electrical engineering degree, equipping students for specialized engineering positions that blend hardware and software expertise.

For those looking to quickly boost their credentials and earnings, fast-tracked programs and certifications can be valuable. Some of the easy certifications that pay well offer rapid entry into lucrative tech industries without a long-term academic commitment. Additionally, students can enroll in one of the quick masters degrees online to accelerate their qualifications and advance into leadership roles sooner.

Whether you’re interested in deep technical expertise, fast-tracked learning, or flexible pathways, online education provides a range of options to fit your career goals in computer science and beyond.

Best Scientists Citing Shiqi Wang

Trending Scientists

Recently Published Articles