Peixian-Zhuang

This project is maintained by zhuangpeixian

Peixian Zhuang（庄培显）

I am IEEE, CCF and CAAI Member, Beijing Association for Artificial Intelligence Member (北京人工智能学会会员), and Associate Professor (特聘副教授) in University of Science and Technology Beijing (北京科技大学). From 2020 to 2022, I am the Postdoctoral Fellow (博士后, 助理研究员) in Tsinghua University（清华大学）, advised by Prof. Qionghai Dai (戴琼海院士、国务院参事、中国人工智能学会理事长、清华大学信息学院院长), with excellent postdoctoral examination (出站考核优秀). I received Ph.D. degree from the School of Information Science and Engineering, Xiamen University in 2016. I am a winner of the Best PhD. Thesis Award in Fujian Province（福建省优秀博士学位论文）in 2017，a winner of the IFAC Engineering Applications of Artificial Intelligence Paper Prize Award-Application （EAAI最佳应用论文）in 2023，and the First Prize for the Excellent Natural Science Papers of Henan Province in 2023（河南省教育厅科技成果奖优秀科技论文奖一等奖）. I have served as the Session Chair for the IEEE International Conference on Signal and Image Processing in 2019, the Guest Editor for the Journal of Electronics and Information Technology in 2021, the Outstanding Reviewer of Journal of Electronics and Information Technology in 2022. My research interests focus on sparse representation, Bayesian nonparametric, deep neural network and biomedical imaging.

Recent News

  1. 2023/11 –‘Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement’ has been one of IEEE Signal Processing Society’s top 25 downloaded articles from 2022-2023 for IEEE Transactions on Image Processing.
  2. 2023/10 –I am honored to be recognized as the World’s Top 2% Scientists: Single-year Impact (2023).
  3. 2023/09 –Two papers ‘Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors’ and ‘Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement’ have been recognized as ESI Highly Cited Paper & ESI Hot Paper.
  4. 2023/09 –Our paper ‘Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement’ has been recognized as First Prize for Excellent Natural Science Papers of Henan Province.
  5. 2023/05 –Our paper ‘Bayesian Retinex Underwater Image Enhancement’ has been recognized as Paper Prize Award 2023-Application by Engineering Applications of Artificial Intelligence.

Google Citation（引用次数）：1780+

Publication（发表论文）

  1. Weidong Zhang, Qingmin Liu, Yikun Feng, Lei Cai, Peixian Zhuang, Chongyi Li. Underwater Image Enhancement via Principal Component Fusion of Foreground and Background. Submitted to IEEE Transactions on Circuits and Systems for Video Technology. (视频多媒体TOP期刊, SCI, JCR1, IF: 5.859)
  2. Chenggang Dai, Weidong Zhang, Lei Cai, Chengjun Chen, Peixian Zhuang, Yi Wang, and Chongyi Li. Bayesian Image Layer Decomposition and Re-fusion for Underwater Image Enhancement. Submitted to IEEE Transactions on Image Processing. (图像处理TOP期刊, SCI, JCR1, IF: 10.856)
  3. Zheng Liang, Rui Ruan, Peixian Zhuang, Chongyi Li. Single Image Quality Improvement via Joint Local Structure Dehazing and Local Texture Enhancement. Submitted to IEEE Transactions on Geoscience and Remote Sensing. (遥感领域TOP期刊, SCI, JCR1, IF: 8.125)
  4. Yuemei Li, Guojia Hou, Kunqian Li, Peixian Zhuang, Zhenkuan Pan, Chongyi Li. Dual Higher-order Total Variation Model for Underwater Image Restoration. Submitted to IEEE Transactions on Geoscience and Remote Sensing, Major Revision. (遥感领域TOP期刊, SCI, JCR1, IF: 8.125)
  5. Peixian Zhuang, Jiangyun Li, Qing Li, Sam Kwong, Chongyi Li*. Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm, Submitted to IEEE Transactions on Cybernetics, Reject and resubmit. (自动化与控制系统TOP期刊, SCI, JCR1, IF: 11.8)
  6. Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, and Chongyi Li. GACNet: Generate Adversarial-Driven Cross-Aware Network for Hyperspectral Wheat Variety Identification. IEEE Transactions on Geoscience and Remote Sensing, Accepted. (遥感领域TOP期刊, SCI, JCR1, IF: 8.125)
  7. Weidong Zhang, Ling Zhou, Peixian Zhuang, Guohou Li, Xipeng Pan, Wenyi Zhao, Chongyi Li*. Underwater Image Enhancement via Weighted Wavelet Visual Perception Fusion. IEEE Transactions on Circuits and Systems for Video Technology, Accepted. (视频多媒体TOP期刊, SCI, JCR1, IF: 5.859, Cite: 18 次)
  8. Zheng Liang, Weidong Zhang, Peixian Zhuang, Xiwang Xie, Chongyi Li*. Underwater Image Quality Improvement via Color, Detail, and Contrast Restoration. IEEE Transactions on Circuits and Systems for Video Technology, Accepted. (视频多媒体TOP期刊, SCI, JCR1, IF: 5.859)
  9. Zheng Liang, Rui Ruan, Lin Jiao, Weidong Zhang, Peixian Zhuang*. An Underwater Image Restoration Method Based on Adaptive Brightness Improvement and Local Image Descattering. IEEE Geoscience and Remote Sensing Letters, Accepted. (SCI, JCR3, IF: 5.343)
  10. Guojia Hou, Nan Li, Peixian Zhuang, Kunqian Li, Haihan Sun, Chongyi Li*. Non-uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior. IEEE Transactions on Circuits and Systems for Video Technology, Accepted. (视频多媒体TOP期刊, SCI, JCR1, IF: 5.859)
  11. Weidong Zhang, Songlin Jin, Peixian Zhuang, Zheng Liang, Chongyi Li*. Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement. IEEE Signal Processing Letters, vol. 30, pp. 229-233, 2023. (SCI, JCR3, IF: 3.201) (ESI Highly Cited Paper, Popular Article, Cite: 27次）
  12. Zheng Liang, Weidong Zhang, Rui Ruan, Peixian Zhuang, Chongyi Li*. GIFM: An Image Restoration Method With Generalized Image Formation Model for Poor Visible Conditions. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-16, 2022. (遥感领域TOP期刊, SCI, JCR1, IF: 8.125)
  13. Weidong Zhang, Zexu Li, Haihan Sun, Qiang Zhang, Peixian Zhuang, Chongyi Li*. SSTNet: Spatial, Spectral, and Texture Aware Attention Network using Hyperspectral Image for Corn Variety Identification. IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022. (SCI, JCR3, IF: 5.343)
  14. Wenyi Zhao, Chongyi Li, Weidong Zhang, Peixian Zhuang, Lingqiao Li, Kefeng Fan, Huihua Yang*. Embedding Global Contrastive and Local Location in Self-Supervised Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2022. (视频多媒体TOP期刊, SCI, JCR1, IF: 5.859)
  15. Wenyi Zhao, Weidong Zhang, Xipeng Pan, Peixian Zhuang, Xiwang Xie, Lingqiao Li, Huihua Yang*. LESSL: Can LEGO Sampling and Collaborative Optimization Contribute to Self-Supervised Learning?. Information Sciences, vol. 615, pp. 475-490, 2022. (计算机信息系统TOP期刊, SCI, JCR1, IF: 8.233).
  16. Peixian Zhuang, Jiamin Wu, Fatih Porikli, Chongyi Li*. Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors. IEEE Transactions on Image Processing, vol. 31, pp. 5442-5455, 2022. (图像处理TOP期刊, SCI, JCR1, IF: 10.856) （ESI Highly Cited Paper & ESI Hot Paper, Popular Article, Cite: 135次）
  17. Peixian Zhuang, Jiamin Wu*. Reinforcing neuron extraction from calcium imaging data via depth-estimation constrained nonnegative matrix factorization. IEEE International Conference on Image Processing, pp. 216-220, 2022. (EI, 图像处理旗舰会议)
  18. Weidong Zhang, Peixian Zhuang, Haihan Sun, Guohou Li, Sam Kwong, Chongyi Li*. Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement. IEEE Transactions on Image Processing, vol. 31, pp. 3997-4010, 2022. (图像处理TOP期刊, SCI, JCR1, IF: 10.856) （ESI Highly Cited Paper & ESI Hot Paper, Popular Article & SPS Top-25 Downloaded Articles, Cite: 194次）
  19. Peixian Zhuang*. Retinex Underwater Image Enhancement with Multi-Order Gradient Priors. IEEE International Conference on Image Processing (IEEE ICIP), pp. 1709-1713, 2021. (EI, 图像处理旗舰会议).
  20. Hanyu Li, Peixian Zhuang*(co-first author). DewaterNet: A fusion adversarial real underwater image enhancement network. Signal Processing: Image Communication, vol. 95, pp. 116248, 2021. (SCI, JCR3, IF: 2.779). （Cite: 38次）
  21. Peixian Zhuang*, Chongyi Li, Jiamin Wu. Bayesian Retinex Underwater Image Enhancement. Engineering Applications of Artificial Intelligence, vol.101, pp. 104171, 2021. (人工智能TOP期刊, SCI, JCR1, IF: 6.212)（ESI Highly Cited Paper, Paper Prize Award–Application, Cite: 153次）
  22. Peixian Zhuang*. MGF: An algorithm for compressed sensing MRI with gradient domain guided image filtering. Oral Presentation, International Conference on Image and Graphics Processing (ICIGP), pp. 214-218, 2021. (EI, 图像与图形处理国际会议)
  23. Kai Zhou, Peixian Zhuang*(co-first author), Jiaying Xiong, Jin Zhao, Muyao Du. Blind Image Deblurring with Joint Extreme Channels and L0-Regularized Intensity and Gradient Priors. IEEE International Conference on Image Processing (IEEE ICIP), pp. 473-478, 2020. (EI, 图像处理旗舰会议)
  24. Jiaying Xiong, Peixian Zhuang*(co-first author), Yanan Zhang. An Efficient Underwater Image Enhancement Model with Extensive Beer-Lambert Law. IEEE International Conference on Image Processing (IEEE ICIP), pp. 493-498, 2020. (EI, 图像处理旗舰会议)
  25. Haopeng Guo, Peixian Zhuang*(co-first author), Yecai Guo. Bayesian Pan-sharpening with Multi-order Gradient-based Deep Network Constraints. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.13, pp. 950-962, 2020. (遥感领域权威期刊, SCI, JCR2, IF: 3.392) (Cite: 28次）
  26. Peixian Zhuang*, and Xinghao Ding. Underwater Image Enhancement Using An Edge-Preserving Filtering Retinex Algorithm. Multimedia Tools and Applications, vol 79, pp. 17279, 2020. (SCI, JCR4, IF: 2.313) （Cite: 67次）
  27. Yecai Guo*, Hanyu Li, and Peixian Zhuang. Underwater Image Enhancement Using a Multi-Scale Dense Generative Adversarial Network. IEEE Journal of Oceanic Engineering, vol. 45, no. 3, pp. 862-870, 2020. (海洋工程TOP期刊, SCI, JCR2, IF: 3.005) （ESI Highly Cited Paper & ESI Hot Paper, Popular Article; Cite: 325次）
  28. Peixian Zhuang*, Haopeng Guo, Yuxiang Dai. An Enhancing Approach for Typhoon Cloud Image. Oral Presentation, International Conference on Image and Graphics Processing (ICIGP), 2020. (EI, 图像与图形处理国际会议)
  29. Peixian Zhuang*, Xinghao Ding. Divide-and-Conquer Framework for Image Restoration and Enhancement. Engineering Applications of Artificial Intelligence, vol. 85, pp. 830-844, 2019. (人工智能TOP期刊, SCI, JCR1, IF: 6.212) （Divide-and-Conquer Scheme for Image Processing）
  30. Peixian Zhuang*, Xiaowen Zhu, and Xinghao Ding. MRI Reconstruction with an Edge-Preserving Filtering Prior. Signal Processing, vol. 155, pp. 346-357, 2019. (信号处理权威期刊, SCI, JCR1, IF: 4.662) （Cite: 16次）
  31. Peixian Zhuang*, Qingshan Liu, and Xinghao Ding. Pan-GGF: A Probabilistic Method for Pan-Sharpening With Gradient Domain Guided Image Filtering. Signal Processing, vol. 156, pp. 177-190, 2019. (信号处理权威期刊, SCI, JCR1, IF: 4.662) （Cite: 16次）
  32. Peixian Zhuang*, Xinghao Ding. Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. IEEE International Conference on Image Processing (IEEE ICIP), pp. 2080-2084, 2019. (EI, 图像处理旗舰会议)
  33. Yuxiang Dai, Peixian Zhuang*. Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network. Magnetic Resonance Imaging, vol. 63, pp. 93-104, 2019. (核磁成像权威期刊, SCI, JCR4, IF: 2.053) （Cite: 32次）
  34. Fei Ye, Yecai Guo*, Peixian Zhuang. Pansharpening via a Gradient-based Deep Network Prior. Signal Processing: Image Communication, vol. 74, pp. 322-331, 2019. (SCI, JCR2, IF: 2.779)
  35. Zhengjie Zhao, Yuxiang Dai, Peixian Zhuang*. Underwater Image Enhancement with a Total Generalized Variation Illumination Prior. 2019 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). (EI, 并行和分布式应用处理国际会议)
  36. Hanyu Li, Peixian Zhuang*, Wei Wang, Jingjing Li. Underwater Image Enhancement based on Dehazing and Color Correction. 2019 IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA). (EI, 并行和分布式应用处理国际会议)
  37. Peixian Zhuang*. Pan-sharpening with a Gradient Domain Guided Image Filtering Prior. Oral Presentation, IEEE International Conference on Signal and Image Processing (IEEE ICSIP), pp. 1031-1036, 2019. (EI, 信号与图像处理国际会议)
  38. Jiaying Xiong, Yuxiang Dai, Peixian Zhuang*. Underwater Image Enhancement by Gaussian Curvature Filter. Oral Presentation, IEEE International Conference on Signal and Image Processing (IEEE ICSIP), pp. 1026-1030, 2019. (EI, 信号与图像处理国际会议) （Cite: 7次）
  39. Peixian Zhuang*, Xinghao Ding, Jinming Duan. Subspace-based Non-blind Deconvolution. 2019 International Conference on Artificial Intelligence and Security (ICAIS), and have been recommended to be published on AIMS Mathematical Biosciences and Engineering. (SCI, JCR4, IF: 1.285)
  40. Pengfei Xiao, Yecai Guo*, Peixian Zhuang. Removing Stripe Noise from Infrared Cloud Images via Deep Convolutional Networks. IEEE Photonics Journal, vol. 10, no. 4, 2018. (SCI, JCR3, IF: 2.833) （Cite: 58次）
  41. Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding*. Image Enhancement Using Divide-and-Conquer Strategy. Journal of Visual Communication and Image Representation, vol. 45, pp. 137-146, 2017. (SCI, JCR3, IF: 2.479) （Cite: 10次）
  42. Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding*. Non-Blind Deconvolution with L1-Norm of High-Frequency Fidelity. Multimedia Tools and Applications, vol. 76, no. 22, pp. 23607-23625, 2017. (SCI, JCR4, IF: 2.313)
  43. Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding*. Mixed Noise Removal Based on A Novel Non-parametric Bayesian Sparse Outlier Model. Neurocomputing, vol. 174, pp. 858-865, 2016. (人工智能顶级期刊, SCI, JCR2, IF: 4.438) （Cite: 9次）
  44. Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding*. A Novel Framework Method for Non-Blind Deconvolution Using Subspace Images Priors. Signal Processing: Image Communication, vol. 46, pp. 17-26, 2016. (SCI, JCR2, IF: 2.779).
  45. Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping Zhang, Xinghao Ding*. A retinex-based enhancing approach for single underwater image. IEEE International Conference on Image Processing (IEEE ICIP), pp. 4572-4576, 2014. (EI, 图像处理旗舰会议) （Cite: 449次）
  46. Peixian Zhuang, Wei Wang, Delu Zeng, Xinghao Ding*. Robust Mixed Noise Removal with Non-parametric Bayesian Sparse Outlier Model. IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP), pp. 1-5, 2014. (EI)

Fundings（项目情况）

  1. 国家自然科学基金面上项目（No. 62171252），基于先验知识与数据驱动景深估计模型的神经元提取研究，2022 – 2025，63万，主持，在研
  2. 中国博士后科学基金面上项目（No.2021M701903)，基于多阶保真与联合先验的贝叶斯CSMRI方法研究，2021 – 2022，8万，主持，在研
  3. 国家自然科学基金青年基金（No. 61701245），基于非参数层次贝叶斯景深估计模型的水下降质图像质量提升研究，2018 – 2020，20万，主持，结题
  4. 科技创新2030 — “新一代人工智能” 重大项目（No.2020AA0108202），复杂不确定条件下无人集群系统态势感知和认知，2020 – 2023，333万，项目骨干，在研
  5. 国家自然科学基金委员会基础科学中心项目（No. 62088102），认知计算基础科学中心，2021 – 2025，6000万，参加，在研
  6. 国家自然科学基金重大科研仪器设备研制专项（No. 61327902），多维多尺度高分辨率计算摄像仪器，2017 – 2021，8000万，参与，结题
  7. 国际合作专项-大科学培育（No. 20203080017），脑与智能光学观测装置预研，2020，20万，参与，结题
  8. 国家自然科学基金青年基金（No. 61701247），基于能量采集的无线传感网络中的优化能量控制，2018 – 2020，22.5万，第一参与人，结题
  9. 国家自然科学基金面上项目（No. 61571382），基于部分K空间数据子空间分解的贝叶斯非参数压缩感知MRI重构方法，2016 – 2019，67.8万，主研，结题
  10. 国家自然科学基金面上项目（No. 61571005），基于PDE的鲁棒性视觉显著性目标感知先验的图像分割，2016 – 2019，50万，参与，结题
  11. 国家自然科学基金面上项目（No. 81671674），实时三维时空编码磁共振成像的序列设计及重构算法研究，2016 – 2019，58万，参与，结题
  12. 国家自然科学基金面上项目（No. 61671309），基于有限新息率理论的高分辨率工业超声成像重构算法研究，2016 – 2019，58万，参与，结题
  13. 国家自然科学基金面上项目（No. 61172179），基于非参数层次贝叶斯模型的自适应字典稀疏表示方法及应用，2012 – 2015，60万，参与，结题

Patents:（专利情况）

  1. 庄培显; 郭彭浩; 戴于翔; 熊佳颖. 一种台风云图增强方法. 发明专利（专利号：ZL201910421483.5）
  2. 庄培显; 李擎; 李江昀; 张天翔; 万春秋; 苗磊; 奚亚鸣; 林语煊; 黄晨. 一种基于亮暗通道先验景深估计的神经元提取方法及装置. 发明专利（专利号：ZL202310689836.6）
  3. 庄培显; 李擎; 李江昀; 张天翔; 徐银梅; 洪然; 姜天轶; 英子瑄; 钟祚栋. 一种基于稀疏分解与景深估计的神经元提取方法及装置. 发明专利（专利号：ZL202310690490.1）
  4. 张天翔, 张毅思, 李江昀, 王怡婷, 庄培显. 一种基于条件扩散模型的时间序列数据预测方法和系统. 发明专利（专利号：ZL202311315844.0）

Books:（教材出版）

Tianxiang Zhang, Peixian Zhuang, Jianyun Li, Hong Wang, Lijun Wang. Machine Learning in Remote Sensing Image Analysis (遥感图像分析中的机器学习算法), Metallurgical Industry Press（冶金工业出版社）, ISBN: 978-7-5024-9438-4, April 2023.

Awards（获奖情况）

2023 World’s Top 2% Scientists (Single-year Impact), 2022 & 2023 《电子与信息学报》优秀审稿人， 2021 AAAI Conference on Artificial Intelligence (Top 25% of Program Committee Members), 2019 IEEE International Conference on Signal and Image Processing (图像处理II分会主席), 2017 福建省优秀博士学位论文, etc.

Invited Talks（特邀报告）

2023 & 2024 International Conference on Image and Graphics Processing (特邀报告人), 2023 VALSE（视觉与学习青年学者研讨会）第130期报告人, 2022 International Conference on Optics and Image Processing (分会II报告人), 2022《电子与信息学报》E家之言论坛（第23期）报告人， 2023 Henan Institute of Science and Technology (特邀报告人），etc.

Evaluation Expert（评审专家）

国家自然科学基金函评专家, 厦门大学硕士研究生学位论文评审专家， 电子与信息学报 (恶劣环境下的图像处理技术, 专题主编), Digital Ocean and Underwater Warfare (数字海洋与水下攻防, 青年主编), Applied Sciences (Deep learning for Image Recognition and Processing, 专题主编).

Conference Technical Committee（会议委员）

2024-2020 International Conference on Image and Graphics Processing, 2024-2022 International Conference on Graphics and Image Processing, 2024-2019 IEEE International Conference on Signal and Image Processing, 2022 International Conference on Metaverse Technology, 2023-2021 International Conference on Virtual Reality, 2021 International Conference on Electronics, Communications and Networks, 2020 International Conference on Vision, Image and Signal Processing, 2020 International Conference on Medical Science and Biomedical Engineering, 2020 International Conference on Computer Science and Electronics& Electrical Engineering, 2020 International Conference on Modern Management based on Big Data, 2020 International Conference on Information Security and Privacy Protection, etc.

Journal Reviewer (期刊审稿)

IEEE Transactions on Pattern Analysis and Machine Intelligence（人工智能顶级期刊）, International Journal of Computer Vision（计算机视觉顶级期刊）, IEEE Transactions on Image Processing（图像处理顶级期刊）, IEEE Transactions on Computational Imaging（计算成像顶级期刊）, IEEE Transactions on Circuits and Systems for Video Technology（视频处理与多媒体领域顶级期刊）, IEEE Transactions on Geoscience and Remote Sensing（遥感信息处理领域顶级期刊）, IEEE Transactions on Cybernetics（控制论领域顶级期刊）, IEEE Journal of Biomedical and Health Informatics (生物医学与健康顶级期刊), IEEE Transactios on Consumer Electronics, IEEE Journal of Oceanic Engineering（海洋工程领域顶级期刊）, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing（遥感信息处理领域权威期刊）, IEEE Geoscience and Remote Sensing Letters, Information Fusion (人工智能顶级期刊), Pattern Recognition（人工智能顶级期刊）, Information Sciences (人工智能顶级期刊), Computers and Electronics in Agriculture (农业计算机顶级期刊), Knowledge-Based Systems（人工智能顶级期刊）, Engineering Applications of Artificial Intelligence（人工智能顶级期刊）, Expert Systems With Applications (人工智能顶级期刊), Neurocomputing (人工智能顶级期刊), Signal Processing（信号处理权威期刊）, Image and Vision Computing (人工智能权威期刊), Frontiers Marine Science（海洋学领域顶级期刊）, Medical Physics（核医学顶级期刊）, Magnetic Resonance Imaging（核磁共振成像权威期刊）, Applied Soft Computing（计算机科学顶级期刊）, Journal of Visual Communication and Image Representation, Signal Processing: Image Communication, EURASIP Journal on Wireless Communications and Networking, IET Image Processing, Applied Optics, Optics and Laser Technology, Applied Intelligence, Infrared Physics and Technology, Computers and Electrical Engineering, Biomedical Signal Processing and Control, Computer Methods and Programs in Biomedicine, Scientific Reports, Displays, 计算机学报（计算机领域权威期刊）, 电子与信息学报（电子信息领域权威期刊）, 中国图象图形学报（图像处理领域权威期刊）, 水下无人系统学报, 数字海洋与水下攻防, 战术导弹技术, etc.

Conference Reviewer (会议审稿)

2024-2021 AAAI Conference on Artificial Intelligence (AAAI, 人工智能领域顶级会议), 2024-2019 IEEE International Conference on Multimedia and Expo (ICME)（多媒体领域顶级会议) , 2024-2023 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP) (声学、语音与信号处理顶级会议), 2023 Chinese Conference on Pattern Recognition and Computer Vision（PRCV）, 2022-2020 International Conference on Image and Graphics Processing, 2022 International Conference on Virtual Reality, 2021 International Conference on Network and Information Security, 2020 and 2019 IEEE International Conference on Signal and Image Processing, 2021 Asia Symposium on Image Processing, 2020 International Conference on Vision, Image and Signal Processing, 2020 International Conference on Biological Information and Biomedical Engineering, 2020 International Conference on Fuzzy Systems and Data Mining, 2020 International Conference on Machine Learning and Intelligent Systems, 2019 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2019 International Conference on Computer Science and Application Engineering, 2018 IEEE International Conference on Wireless Communications and Signal Processing, 2020 and 2018 International Conference on Artificial Intelligence and Security, etc.

Co-author & Friend (合作朋友)

  1. Chongyi Li: https://li-chongyi.github.io/
  2. Jiamin Wu: https://www.au.tsinghua.edu.cn/info/1107/2603.htm
  3. Xueyang Fu: https://xueyangfu.github.io/
  4. Xinghao Ding: https://xmu-smartdsp.github.io/teamindex/xhding.html
  5. Yue Huang: https://huangyue05.github.io/
  6. Qingshan Liu: http://www.nlpr.ia.ac.cn/iva/homepage/qingshan/
  7. Yecai Guo：http://dxy.cwxu.edu.cn/info/1080/1163.htm
  8. Mengqi Ji：http://mengqiji.com/
  9. Liangjian Deng: http://www.math.uestc.edu.cn/info/1082/2114.htm
  10. Xiangyong Cao: http://math.xjtu.edu.cn/info/1337/7601.htm
  11. Liyan Sun: https://lynnsunxmu.github.io/
  12. Jinming Duan：https://www.cs.bham.ac.uk/~duanj/
  13. Pengdi Huang：http://vcc.szu.edu.cn/_pengdi.html
  14. Xiaoyan Kuai: https://www.ncl.uestc.edu.cn/info/1082/1746.htm
  15. Yunquan Dong: https://dxy.nuist.edu.cn/info/1071/1885.htm
  16. Liangliang Liu: http://faculty.nuaa.edu.cn/liuliangliang/en/index.htm

Communication Address (通信地址)

Department of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Matlab Code (公开代码)

Retinex Variational Underwater Image Enhancement (https://github.com/zhuangpeixian)