I am IEEE Senior Member, CCF Senior Member, CAAI and CSIG Member. Currently, I am an Associate Professor in University of Science and Technology Beijing. From 2020 to 2022, I was the Postdoctoral Fellow from the Department of Automation, Tsinghua University, advised by Prof. Qionghai Dai (戴琼海院士、CAAI理事长、清华大学信息学院院长). In 2016, I received Ph.D. degree from the School of Information Science and Engineering, Xiamen University, advised by Prof. Xinghao Ding. My research interests focus on underwater image processing, non-parameteric Bayesian modeling, image sparse representation, and deep neural networks.
Retinex Variational Models for Underwater Image Enhancement (https://github.com/zhuangpeixian)
[1] 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. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article, JCR Q1, IF: 10.856, Google Citation: 213次)
[2] Peixian Zhuang*, Chongyi Li, Jiamin Wu. Bayesian Retinex Underwater Image Enhancement. Engineering Applications of Artificial Intelligence, vol. 101, pp. 104171, 2021. (ESI Highly Cited Paper, IFAC EAAI Paper Prize Award, JCR Q1, IF: 6.212, Google Citation: 232次)
[3] 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. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article & SPS Top-25 Downloaded Articles, JCR Q1, IF: 10.856, Google Citation: 321次)
[4] 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, vol. 34, no. 4, pp.2469-2483, 2024. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article, JCR Q1, IF: 5.859, Google Citation: 65次)
[5] Yecai Guo*, Haiyu 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. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article, JCR Q2, IF: 3.554, Google Citation: 400次)
[6] Weidong Zhang, Zexu Li, Guohou Li, Peixian Zhuang, Guojia Hou, Qiang Zhang, Chongyi Li*. GACNet: Generate Adversarial-Driven Cross-Aware Network for Hyperspectral Wheat Variety Identification. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 5503314, 2023. (ESI Highly Cited Paper & ESI Hot Paper, JCR Q1, IF: 8.125, Google Citation: 19次)
[7] 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. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article, JCR Q3, IF: 3.201, Google Citation: 63次)
[8] 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, vol. 34, no. 2, pp. 799-814, 2024. (ESI Highly Cited Paper, Popular Article, JCR Q1, IF: 5.859, Google Citation: 38次)
[9] 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, 2024, 34(3): 1726-1742. (ESI Highly Cited Paper, JCR Q1, IF: 5.859, Google Citation: 9次)
[10] Weidong Zhang, Qingmin Liu, Yikun Feng, Lei Cai, Peixian Zhuang*. Underwater Image Enhancement via Principal Component Fusion of Foreground and Background. IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2024. (Popular Article, JCR Q1, IF: 5.859)
[11] 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 (ICIP), pp. 4572-4576, 2014. (Google Citation: 539次)
[12] Peixian Zhuang*, Jiangyun Li, Qing Li, Lei Cai, Sam Kwong. Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm. IEEE Transactions on Cybernetics, Accepted, 2024. (JCR Q1, IF: 11.8)
[13] Zheng Liang, Rui Ruan, Chuanjian Wang, Peixian Zhuang*. Single Image Quality Improvement via Joint Local Structure Dehazing and Local Texture Enhancement. IEEE Transactions on Geoscience and Remote Sensing, Accepted, 2024. (JCR Q1, IF: 7.5)
[14] Zetian Mi, Shuaiyong Jiang, Huibing Wang, Xianping Fu, Zheng Liang, Peixian Zhuang*. A Vignetting-Correction Based Underwater Image Enhancement Method for AUV with Artificial Light. IEEE Journal of Oceanic Engineering, Accepted, 2024. (JCR Q2, IF: 3.8)
[15] Weidong Zhang, Wenyi Zhao, Jia Li, Peixian Zhuang, Haihan Sun, Yibo Xu, Chongyi Li*. CVANet: Cascaded Visual Attention Network for Single Image Super-resolution. Neural Networks, vol. 170, pp. 622-634, 2024. (JCR Q2, IF: 7.800)
[16] Yongqin Tian, Weidong Zhang*, Peng Su, Yibo Xu, Peixian Zhuang, Xiwang Xie, Wenyi Zhao. S4: Self-supervised Learning with Sparse-dense Sampling. Knowledge-Based Systems, vol. 299, pp. 112040, 2024. (JCR Q1, IF: 8.800)
[17] Weidong Zhang, Gongchao Chen, Peixian Zhuang, Wenyi Zhao, Ling Zhou*. CATNet: Cascaded Attention Transformer Network for Marine Species Image Classification. Expert Systems with Application, Accepted, 2024. (JCR Q1, IF: 7.500)
[18] Baiqiang Yu, Weidong Zhang*, Wenqiang Yu, Peixian Zhuang, Wenyi Zhao. ZAP: Underwater Image Color Correction via Zero Approximation Principle. IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1503205, 2024. (JCR Q3, IF: 5.343)
[19] 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, vol. 33, no. 5, pp. 2275-2289, 2023. (JCR Q1, IF: 5.859)
[20] 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, vol. 20, pp. 1502505, 2023. (JCR Q3, IF: 5.343)
[21] Weidong Zhang, Xuewei Sun, Ling Zhou, Xiwang Xie, Wenyi Zhao, Zheng Liang, Peixian Zhuang*. Dual-branch Collaborative Learning Network for Crop Disease Identification. Frontiers in Plant Science, vol. 14, pp. 1117478, 2023. (JCR Q1, IF: 4.100)
[22] 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. (JCR Q1, IF: 8.125)
[23] 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. (JCR Q1, IF: 8.233)
[24] Peixian Zhuang, Jiamin Wu*. Reinforcing Neuron Extraction from Calcium Imaging Data via Depth-estimation Constrained Nonnegative Matrix Factorization. IEEE International Conference on Image Processing (ICIP), pp. 216-220, 2022.
[25] Weidong Zhang, Zexu Li, Hai-Han 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. 5514205, 2022. (JCR Q3, IF: 5.343)
[26] Peixian Zhuang*. Retinex Underwater Image Enhancement with Multi-Order Gradient Priors. IEEE International Conference on Image Processing (ICIP), pp. 1709-1713, 2021.
[27] Hanyu Li, Peixian Zhuang*. DewaterNet: A Fusion Adversarial Real Underwater Image Enhancement Network. Signal Processing: Image Communication, vol. 95, pp. 116248, 2021. (JCR Q3, IF: 2.779, Google Citation: 48次)
[28] 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.
[29] Kai Zhou, Peixian Zhuang*, 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 (ICIP), pp. 473-478, 2020.
[30] Jiaying Xiong, Peixian Zhuang*, Yanan Zhang. An Efficient Underwater Image Enhancement Model with Extensive Beer-Lambert Law. IEEE International Conference on Image Processing (ICIP), pp. 493-498, 2020.
[31] Penghao Guo, Peixian Zhuang*, 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. (JCR Q3, IF: 3.784, Google Citation: 39次)
[32] Peixian Zhuang*, Xinghao Ding. Underwater Image Enhancement Using An Edge-Preserving Filtering Retinex Algorithm. Multimedia Tools and Applications, vol 79, pp. 17279, 2020. (JCR Q4, IF: 2.757, Google Citation: 86次)
[33] Peixian Zhuang*, Haopeng Guo, and Yuxiang Dai. An Enhancing Approach for Typhoon Cloud Image. Oral Presentation, International Conference on Image and Graphics Processing (ICIGP), pp. 62-66, 2020.
[34] Peixian Zhuang*, Xinghao Ding. Divide-and-Conquer Framework for Image Restoration and Enhancement. Engineering Applications of Artificial Intelligence, vol. 85, pp. 830-844, 2019. (JCR Q1, IF: 6.212)
[35] Peixian Zhuang*, Xiaowen Zhu, and Xinghao Ding. MRI Reconstruction with an Edge-Preserving Filtering Prior. Signal Processing, vol. 155, pp. 346-357, 2019. (JCR Q2, IF: 4.662)
[36] 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. (JCR Q2, IF: 4.662)
[37] Peixian Zhuang*, Xinghao Ding. Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors. IEEE International Conference on Image Processing (ICIP), pp. 2080-2084, 2019.
[38] Yuxiang Dai, Peixian Zhuang*. Compressed Sensing MRI via a Multi-scale Dilated Residual Convolution Network. Magnetic Resonance Imaging, vol. 63, pp. 93-104, 2019. (JCR Q4, IF: 2.546, Google Citation: 34次)
[39] Fei Ye, Yecai Guo*, Peixian Zhuang. Pansharpening via a Gradient-based Deep Network Prior. Signal Processing: Image Communication, vol. 74, pp. 322-331, 2019. (JCR Q3, IF: 2.779)
[40] Zhengjie Zhao, Yixiang Dai, Peixian Zhuang*. Underwater Image Enhancement with a Total Generalized Variation Illumination Prior. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2019.
[41] Haiyu Li, Peixian Zhuang*, Wei Wang, Jingjing Li. Underwater Image Enhancement based on Dehazing and Color Correction. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), 2019.
[42] Peixian Zhuang*. Pan-sharpening with a Gradient Domain Guided Image Filtering Prior. Oral Presentation, IEEE International Conference on Signal and Image Processing (ICSIP), pp. 1031-1036, 2019.
[43] Jiaying Xiong, Yuxiang Dai, Peixian Zhuang*. Underwater Image Enhancement by Gaussian Curvature Filter. Oral Presentation, IEEE International Conference on Signal and Image Processing (ICSIP), pp. 1026-1030, 2019.
[44] Peixian Zhuang*, Xinghao Ding, Jinming Duan. Subspace-based Non-blind Deconvolution. Mathematical Biosciences and Engineering, vol. 16, no. 4, pp. 2202-2218, 2019. (JCR Q4, IF: 2.080)
[45] 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. (JCR Q4, IF: 2.443, Google Citation: 71次)
[46] 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. (JCR Q3, IF: 2.678)
[47] 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. (JCR Q4, IF: 2.757)
[48] 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. (JCR Q2, IF: 5.719)
[49] 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. (JCR Q3, IF: 2.779)
[50] 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 (MMSP), pp. 1-5, 2014.
[1] 国家自然科学基金面上项目 (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 (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, 结题
[3] 国家自然科学基金青年科学基金项目 (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 (2020AAA0108202), 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, 骨干, 结题
[5] 国家自然科学基金委员会基础科学中心项目 (62088102), 认知计算基础科学中心, 2021—2025, 6000万, 参与, 在研
[6] 国家自然科学基金面上项目 (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
[7] 国家自然科学基金青年基金 (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, 结题
[8] 国家自然科学基金面上项目 (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
[9] 国家自然科学基金面上项目 (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
[10] 国家自然科学基金面上项目 (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
[11] 国家自然科学基金面上项目 (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
[P1] 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)
[P2] 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)
[P3] 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)
[P4] 庄培显, 王宏, 李擎, 李江昀, 张天翔, 武雨田, 张新恒, 英子瑄, 钟祚栋. 基于非参数贝叶斯景深估计的水下图像增强方法及装置. 发明专利 (专利号：ZL202311817383.7)
[P5] 庄培显, 李擎, 李江昀, 王丽君, 张天翔, 崔家瑞, 张新恒, 童俊杰, 王巍然. 基于深度CNN去噪先验的Retinex变分水下图像增强方法和装置. 发明专利 (专利号：ZL202410070687.X)
[P6] 庄培显, 李江昀, 张天翔, 王宏, 张新恒, 童俊杰. 一种基于深度展开网络的Retinex变分水下图像增强方法和装置. 发明专利 (专利号：ZL202410342527.6)
[B1] 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.
[1] 2024年 “海洋强国青年科学家提名”获得者（全国仅30人）
[2] 2024年 斯坦福全球前2%顶尖科学家 (Single-year Impact)
[3] 2023年 斯坦福全球前2%顶尖科学家 (Single-year Impact)
[4] 2023年 IFAC EAAI（人工智能Top期刊）最佳论文
[5] 2023年 河南省教育厅科技成果奖优秀科技论文奖一等奖
[6] 2023年 首届高分对地观测应用技术创新大赛二等奖指导教师
[7] 2023年 第十三届北科青年教师教学基本功比赛二等奖
[8] 2023年 《电子与信息学报》最佳审稿人
[9] 2022年 《电子与信息学报》最佳审稿人
[10] 2021年 人工智能顶级会议AAAI Top 25%审稿人
[11] 2019年 江苏省大学生创新训练计划项目指导教师
[12] 2017年 福建省优秀博士学位论文, etc.
[1] 2024年 International Conference on Image and Graphics Processing 特邀报告人
[2] 2023年 VALSE（视觉与学习青年学者研讨会）第130期报告人
[3] 2023年 International Conference on Image and Graphics Processing 特邀报告人
[4] 2022年 《电子与信息学报》E家之言论坛（第23期）报告人
[5] 2022年 International Conference on Optics and Image Processing特邀报告人, etc.
[1] CAAI Artificial Intelligence Research（Area Editor)
[2] 电子与信息学报（“恶劣环境下的图像处理技术”, 专题主编)
[3] Journal of Unmanned Undersea Systems (水下无人系统学报, 青年编委)
[4] Digital Ocean and Underwater Warfare (数字海洋与水下攻防, 青年编委)
[5] Applied Sciences (Deep learning for Image Recognition and Processing, 专题主编), etc.
[1] ICIGP 国际会议区域主席 (2025 Regional Chair)
[2] IEEE ICSIP 国际会议分会主席 (2019 Session Chair for Image Processing II)
[3] 第二届全国光电科学与工程学术会议第二论坛 (模式识别与智能感知) 专题委员
[4] 第三届全国电子信息材料与器件大会第六论坛 (光电探测与智能传感) 专题委员
[5] 2020-2024 IEEE International Conference on Signal and Image Processing
[6] 2020-2024 International Conference on Image and Graphics Processing
[7] 2022-2024 International Conference on Graphics and Image and Processing
[8] 2024 International Conference on Remote Sensing and Geographic Information
[9] 2021-2023 International Conference on Virtual Reality, 2022 International Conference on Metaverse Technology
[10] 2021 International Conference on Electronics, Communications and Networks
[11] 2020 International Conference on Vision, Image and Signal Processing
[12] 2020 International Conference on Medical Science and Biomedical Engineering
[13] 2020 International Conference on Modern Management based on Big Data
[14] 2020 International Conference on Information Security and Privacy Protection, etc.
IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Computational Imaging, IEEE Transactions on Systems, Man, and Cybernetics-Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Journal of Oceanic Engineering, IEEE Transactions on Consumer Electronics, Information Fusion, Information Sciences, Pattern Recognition, Computers and Electronics in Agriculture, Knowledge-Based Systems, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Remote Sensing, Neurocomputing, Signal Processing, Optics and Lasers in Engineering, Image and Vision Computing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Frontiers Marine Science, Medical Physics, Magnetic Resonance Imaging, Journal of Visual Communication and Image Representation, Biomedical Optics Express, Signal Processing: Image Communication, EURASIP Journal on Wireless Communications and Networking, Applied Soft Computing, 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, 电子与信息学报, 中国图象图形学报, 水下无人系统学报，数字海洋与水下攻防，机器人，战术导弹技术，东南大学学报(自然科学版)等.
2021-2024 AAAI Conference on Artificial Intelligence (AAAI), 2019-2024 IEEE International Conference on Multimedia and Expo (ICME), 2023-2024 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2023 Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2024 Chinese Automation Congress (CAC), 2019-2024 IEEE International Conference on Signal and Image Processing, 2020-2022 International Conference on Image and Graphics Processing, 2022 International Conference on Virtual Reality, 2021 International Conference on Network and Information Security, 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, 2018-2020 International Conference on Artificial Intelligence and Security, 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, etc.
[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] Liangjian Deng: http://www.math.uestc.edu.cn/info/1082/2114.htm
[7] Qingshan Liu: http://www.nlpr.ia.ac.cn/iva/homepage/qingshan/
[8] Yecai Guo：http://dxy.cwxu.edu.cn/info/1080/1163.htm
[9] Mengqi Ji：http://mengqiji.com/
[10] Jinming Duan：https://www.cs.bham.ac.uk/~duanj/
[11] Liyan Sun: https://lynnsunxmu.github.io/
[12] Yunquan Dong: https://dxy.nuist.edu.cn/info/1071/1885.htm
[13] Zhenqi Fu: https://zhenqifu.github.io/
[14] Weidong Zhang: https://xxgcxy.hist.edu.cn/info/1480/8998.htm
[15] Zhen Liang: http://ae.ahu.edu.cn/2022/1008/c12888a294661/page.htm, etc.
Department of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China