Honggang Chen （陈洪刚）
Associate Research Fellow
College of Electronics and Information Engineering
Sichuan University, Chengdu 610065, China
Email: honggang_chen@scu.edu.cn / honggang_chen@yeah.net
Homepage: https://eie.scu.edu.cn/info/1044/11809.htm
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Opening Positions
I'm looking for PhD and Master students with solid background in signal processing and programming. Please send me your CV if you have interest.
Biography
I’m currently an Associate Research Fellow at the College of Electronics and Information Engineering, Sichuan University.
I received my PhD degree in Communication and Information Systems at Sichuan University, 2019, and received my B.E. degree in Electronics and Information Engineering at Sichuan University, 2014. I was a visiting student at Video Processing Lab , UCSD, advised by Prof. Truong Q. Nguyen during 2017. 11 - 2018. 11.
Recent News
09/2024: [Paper] One paper accepted to IEEE Transactions on Broadcasting.
08/2024: [Paper] One paper accepted to IEEE Transactions on Intelligent Vehicles.
04/2024: [Paper] One paper accepted to Information Processing & Management .
02/2024: [Paper] One paper accepted to IEEE Transactions on Multimedia.
10/2023: [Paper] One paper accepted to Knowledge-Based Systems.
04/2023: [Paper] One paper accepted to Pattern Recognition.
04/2023: [Paper] One paper accepted to IEEE Transactions on Instrumentation and Measurement.
11/2022: [Call for Papers] Guest Editor for <<Sensors>>. Submission Deadline: Dec. 31, 2023. Special Issue "Image/Video Restoration Based on Deep Learning and Its Application in Sensing" "https://www.mdpi.com/journal/sensors/special_issues/N6J4J30824"
11/2022: [Paper] One paper accepted to IEEE Transactions on Circuits and Systems for Video Technology.
08/2022: [Paper] One paper accepted to Expert Systems With Applications.
05/2022: [Paper] One paper accepted to Knowledge-Based Systems.
05/2022: [Paper] One paper accepted to IEEE Signal Processing Letters.
03/2022: [Project] Received a grant of the Natural Science Foundation of Sichuan Province.
12/2021: [Paper] One paper accepted to Expert Systems With Applications.
10/2021: [Paper] One paper accepted to IEEE Transactions on Neural Networks and Learning Systems .
09/2021: [Paper] One paper accepted to Informatin Fusion. Real-world single image super-resolution: A brief review.
03/2021: [Preprint] One paper submitted to arXiv, which is available at https://arxiv.org/abs/2103.02368 . In this paper, we make an overview of recent Real-World Single Image Super-Resolution algorithms and relevant studies.
09/2020: [Project] Received a grant of the National Natural Science Foundation of China (NSFC).
03/2020: [Paper] One paper accepted to Information Sciences.
01/2020: [Paper] One paper accepted to Physical Review E.
10/2018: [Paper] One paper accepted to IEEE Signal Processing Letters.
04/2018: [Paper] One paper accepted to Signal Processing: Image Communication.
04/2018: [Paper] One paper accepted to CVPRW 2018.
01/2018: [Paper] One paper accepted to Neurocomputing.
10/2017: I will visit the Video Processing Lab in UCSD during 2017. 11 - 2018. 11.
09/2017: [Preprint] One paper submitted to arXiv.
Research Interests
My research interests include Image Restoration, Image Compression, and Computer Vision.
Image and video super-resolution, denoising, deblurring, inpainting
Image and video compression
Deep learning and applications
Publications
Preprint
Journal papers
Lin Xinying, Liu Xuyang, Yang Hong, He Xiaohai, Chen Honggang. Perception- and Fidelity-aware Reduced-Reference Super-Resolution Image Quality Assessment [J]. IEEE Transactions on Broadcasting, 2024. (Corresponding Author)
Wang Xiaofeng, Liu Xiao, Yang Hong, Wang Zhengyong, Wen Xiaoyue, He Xiaohai, Qing Linbo, Chen Honggang. Degradation modeling for restoration-enhanced object detection in adverse weather scenes [J]. IEEE Transactions on Intelligent Vehicles, 2024. (Co-Corresponding Author)
Zhao Yaoqian, Teng Qizhi, Chen Honggang, Zhang Shujiang, He Xiaohai, Li Yi, Ray E. Sheriff. Activating more information in arbitrary-scale image super-resolution [J]. IEEE Transactions on Multimedia, 2024. (Corresponding Author)
Zhang Weicheng, Xiong Shuhua, He Xiaohai, Wu Xiaohong, He Jie, Chen Honggang. Multi deep invariant feature learning for cross-resolution person re-identification [J]. Information Processing & Management, 2024. (Corresponding Author)
Wang X, Chen H, Gou H, He J, Wang Z, He X, Qing L, Sheriff R.. RestorNet: An efficient network for multiple degradation image restoration [J]. Knowledge-Based Systems, 2023. (Corresponding Author)
Liu Q, He X, Teng Q, Qing L, Chen H. BDNet: A BERT-based dual-path network for text-to-image cross-modal person re-identification [J]. Pattern Recognition, 2023. (Corresponding Author)
Qi B, Chen Y, Liu Q, He X, Qing L, Sheriff R., Chen H. An image-text dual-channel union network for person re-identification [J]. IEEE Transactions on Instrumentation and Measurement, 2023. (Corresponding Author)
He L, He X, Xiong S, Zhao Z, Xiao H, Chen H. Efficient rate control in versatile video coding with adaptive spatial-temporal bit allocation and parameter updating [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022. (Corresponding Author)
Chen H, He X, Yang H, et al. Self-supervised cycle-consistent learning for scale-arbitrary real-world single image super-resolution [J]. Expert Systems with Applications, 2022.
Zhang Y, Dong L, Yang H, Qing L, He X, Chen H. Weakly-supervised contrastive learning-based implicit degradation modeling for blind image super-resolution [J]. Knowledge-Based Systems, 2022. (Corresponding Author)
Chen H, Dong L, Yang H, et al. Unsupervised Real-World Image Super-Resolution via Dual Synthetic-to-Realistic and Realistic-to-Synthetic Translations [J]. IEEE Signal Processing Letters, 2022.
Chen H, He X, Yang H, et al. A two-stage deep generative adversarial quality enhancement network for real-world 3D CT images [J]. Expert Systems with Applications, 2021.
Chen H, He X, Yang H, et al. A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and Its Applications [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
Chen H, He X, Qing L, et al. Real-World Single Image Super-Resolution: A Brief Review [J]. Information Fusion, 2021.
Chen H, He X, An C, Nguyen T.Q., et al. Adaptive image coding efficiency enhancement using deep convolutional neural networks [J]. Information Sciences, 2020.
Chen H, He X, Teng Q, et al. Super resolution of real-world rock microcomputed tomography images using cycle-consistent generative adversarial networks [J]. Physical Review E, 2020, 101(2): 023305.1-023305.15.
Chen H, He X, An C, Nguyen T.Q., et al. Deep Wide-Activated Residual Network-based Joint Blocking and Color Bleeding Artifacts Reduction for 4:2:0 JPEG-Compressed Images[J]. IEEE Signal Processing Letters, 2019.
Chen H, He X, Ren C, et al. CISRDCNN: Super-resolution of compressed images using deep convolutional neural networks[J]. Neurocomputing, 2018, 285: 204-219.
Chen H, He X, Qing L, et al. SGCRSR: Sequential gradient constrained regression for single image super-resolution[J]. Signal Processing: Image Communication, 2018, 66: 1-18.
Chen H, He X, Qing L, et al. Single image super-resolution via adaptive transform-based nonlocal self-similarity modeling and learning-based gradient regularization[J]. IEEE Trans. Multimedia, 2017, 19 (8): 1702-1717.
Chen H, He X, Teng Q, et al. Single image super resolution using local smoothness and nonlocal self-similarity priors[J]. Signal Processing: Image Communication, 2016, 43: 68-81.
Chen H, He X, Ma M, et al. Low bit rates image compression via adaptive block downsampling and super resolution[J]. Journal of Electronic Imaging, 2016, 25(1): 013004-013004.
Conference papers
Chen H, He X, Qing L, et al. DPW-SDNet: Dual pixel-wavelet domain deep CNNs for soft decoding of JPEG-compressed images[C]. Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 IEEE Conference on. IEEE, 2018.
He X, Chen H, Chen J, et al. Soft decoding of JPEG 2000 compressed images using bit-rate-driven deep convolutional neural networks[C]. Information and Automation (ICIA), 2017 IEEE International Conference on. IEEE, 2017: 843-847.
He X, Chen H, Zhang Y, et al. Low bit-rates image coding via wavelet domain downsampling and dual wavelet-pixel domain reconstruction[C]. Signal Processing (ICSP), 2016 13th International Conference on. IEEE, 2016: 708-713.
Patents (coming soon)
Projects
Key Research and Development Plan of Sichuan Province, 2024.01-2025.12. (Project Leader)
Youth Program of Natural Science Foundation of Sichuan Province, 2022.01-2023.12. (Project Leader)
Youth Program of National Natural Science Foundation of China, 2021.01-2023.12. (Project Leader)
Research Innovation Foundation for Graduate Students of Sichuan University, 2018. 01 - 2018. 12. (Project Leader)
National Natural Science Foundation of China, 2015. 01 - 2018. 12. (Participant)
Professional Activities
Journal Reviewer
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Cybernetics (TCYB)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Multimedia (TMM)
IEEE Transactions on Automation Science and Engineering (TASE)
IEEE Signal Processing Letters (SPL)
IEEE Access
Neurocomputing
Signal Processing: Image Communication
Digital Signal Processing
Artificial Intelligence Review
Awards and Honors
Scholarship Awardee selected by China Scholarship Council (CSC), 2017
Hua Wen Scholarship of Sichuan University (2016, 2017)
Wu Liang Chun Scholarship of Sichuan University (2016)
Outstanding Graduate Student of Sichuan University (2016, 2017)
First-Class Scholarship of Sichuan University (2011-2018)
Outstanding Graduate of Sichuan University (2014)
National Encouragement Scholarship (2013)
Outstanding Student of Sichuan University (2011, 2012, 2013)
National Scholarship (2011, 2012)
Correspondence
Address: No.24 South Section 1, Yihuan Road, Chengdu, 610065, China
Useful Links (Coming soon...)
Lab/Group
Machine Learning Group (Adelaide)
Laboratory for Image & Video Engineering (TEXAS)
Image and Video Processing Lab (NU)
Computer Vision and Image Processing (UoD)
Spatial and Temporal Restoration, Understanding and Compression Team (PKU)
Computational Imaging Group (TUT)
Computer Vision Laboratory (SNU)
Bio Imaging & Signal Processing Lab
Scholars' Homepage
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Mingming Chen Chen Chen Wan-Chi Siu Yunjin Chen
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Alessandro Foi Sina Farsiu Xueyang Fu
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Xinbo Gao Zongming Guo Shuhang Gu
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Kaiming He Jia-bin Huang Jun-jie Huang Zhe Hu Muhammad Haris
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Weisi Lin Ce Liu Baoxin Li Chen Change (Cavan) Loy Enming Luo Xin Liu
Renjie Liao Xianming Liu Sifei Liu Zhouchen Lin Liang Lin Leida Li Jiaying Liu
Weisheng Lai Dong Liu Stamatios Lefkimmiatis
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Peyman Milanfar Kai-Kuang Ma Kede Ma
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Chunhua Shen Jian Sun Eero Simoncelli Xiaoyong Shen
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Radu Timofte Yapeng Tian Ying Tai Dacheng Tao Robby T. Tan
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Xiaolin Wu Yao Wang Xiaogang Wang Linfeng Wang Bihan Wen Keze Wang
Xiushen Wei Zhou Wang Zhangyang Wang
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Li Xu Xiangyu Xu Ruiqing Xiong Jiu Xu
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Ming-Hsuan Yang Jianchao Yang Huanjing Yue Hantao Yao
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Lei Zhang Zhihua Zhou Wangmeng Zuo Yongbing Zhang Xinfeng Zhang
Jian Zhang Yulun Zhang Yang Zhao He Zhang Liming Zhao Zhiyuan Zha
Scholars' Github
Bihan Wen (State-of-the-art denoising)
Zehao Huang (Super-resolution benchmark)
Codes
Super-Resolution: Deep Learning-based Super-resolution State-of-the-art: codes and papers
Denoising: State-of-the-art: codes and papers
Academic Journals
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Google Sites
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