World's Best Scientists 2026 revealed!
Wenhan Yang

Wenhan Yang

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
50
Citations
11086
World Ranking
316
National Ranking
104

Computer Science

D-Index
52
Citations
14322
World Ranking
5001
National Ranking
671

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Wenhan Yang is affiliated with Peking University in China and specializes in computer science with a focus on computer vision and image processing. Their work primarily spans advanced image processing and enhancement techniques within artificial intelligence and signal processing domains.

The main research topics covered in their publications include:

  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Face Recognition and Analysis
  • Digital Media Forensic Detection

Yang has contributed frequently to several publication venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia

Their collaborative work is often conducted with coauthors who have appeared frequently in their publications, among them:

  • Jiaying Liu
  • Shiqi Wang
  • Alex C. Kot
  • Zhangkai Ni
  • Ling-Yu Duan

Selected recent papers by Wenhan Yang include:

  • "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement," 2021, IEEE Transactions on Image Processing
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study," 2020, IEEE Transactions on Image Processing

Other notable related publications in the field are:

  • "URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model," 2020, IEEE Transactions on Image Processing
  • "Low-Light Image Enhancement with Normalizing Flow," 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Deep Joint Rain Detection and Removal from a Single Image

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Jiaying Liu

  • Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

    Mading Li;Jiaying Liu;Wenhan Yang;Xiaoyan Sun

  • Deep Retinex Decomposition for Low-Light Enhancement

    Chen Wei;Wenjing Wang;Wenhan Yang;Jiaying Liu

  • Attentive Generative Adversarial Network for Raindrop Removal from A Single Image

    Rui Qian;Robby T. Tan;Wenhan Yang;Jiajun Su

  • URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement

    Unknown

  • 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

  • Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks

    Wenhan Yang;Robby T. Tan;Jiashi Feng;Zongming Guo

  • Low-Light Image Enhancement with Normalizing Flow.

    Yufei Wang;Renjie Wan;Wenhan Yang;Haoliang Li

  • LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model

    Xutong Ren;Wenhan Yang;Wen-Huang Cheng;Jiaying Liu

  • Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution

    Wenhan Yang;Jiashi Feng;Jianchao Yang;Fang Zhao

  • GLADNet: Low-Light Enhancement Network with Global Awareness

    Wenjing Wang;Chen Wei;Wenhan Yang;Jiaying Liu

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

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

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Benchmarking Low-Light Image Enhancement and Beyond

    Jiaying Liu;Dejia Xu;Wenhan Yang;Minhao Fan

  • Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

    Lingyu Duan;Jiaying Liu;Wenhan Yang;Tiejun Huang

  • Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos

    Jiaying Liu;Wenhan Yang;Shuai Yang;Zongming Guo

  • 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

  • Robust LSTM-Autoencoders for Face De-Occlusion in the Wild

    Fang Zhao;Jiashi Feng;Jian Zhao;Wenhan Yang

  • Learning End-to-End Lossy Image Compression: A Benchmark.

    Yueyu Hu;Wenhan Yang;Zhan Ma;Jiaying Liu

  • Image Super-Resolution Based on Structure-Modulated Sparse Representation

    Yongqin Zhang;Jiaying Liu;Wenhan Yang;Zongming Guo

  • MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

    Lilang Lin;Sijie Song;Wenhan Yang;Jiaying Liu

Frequent Co-Authors

Jiaying Liu
Jiaying Liu Peking University
Zongming Guo
Zongming Guo Peking University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Jiashi Feng
Jiashi Feng ByteDance
Shuicheng Yan
Shuicheng Yan National University of Singapore
Sam Kwong
Sam Kwong Lingnan University
Ling-Yu Duan
Ling-Yu Duan Peking University
Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Siwei Ma
Siwei Ma Peking University
Walter J. Scheirer
Walter J. Scheirer University of Notre Dame

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