I am IEEE Senior Member, CCF Senior Member, CAAI 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. 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, sparse representation, and deep learning.
[1] Weidong Zhang, Baiqiang Yu, Wenyi Zhao, Zheng Liang, Peixian Zhuang*, Keran Zhu*. Underwater Image Enhancement Via Intelligent Optimized Multi-exposure Image Fusion. IEEE Transactions on Image Processing, vol. 35, pp. 6488-6501, 2026.
[2] Weidong Zhang, Muzi Wang, Peixian Zhuang*, Dahai Liu*. Underwater Image Enhancement via Advantage Feature Weighted Fusion. IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 2, pp. 2006-2018, 2026. (ESI Highly Cited Paper)
[3] Weidong Zhang, Kaijie Jin, Ling Zhou, Kangjia Qiao, Qiang Zhang, Peixian Zhuang*. BDSA: Remote Sensing Image Dehazing via Fusing Brightness Decomposition and Saturation Adjustment. IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 5903313, 2026.
[4] Jiangyun Li, Jiaheng Han, Hao Wang, Xiaochen Zhang, Peixian Zhuang*. WIMNet: A Whole-Image-Based Mamba Network for Joint Hyperspectral and LiDAR Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 5517818, 2026.
[5] Peixian Zhuang*, Chenyu Wang, Fei Liu, Xinheng Zhang, Yanchen Guo, Zhenqi Fu. Image Field-of-View Enhancement: An Overview. CAAI Artificial Intelligence Research, vol. 5, pp. 9270080, 2026. (中国科技期刊卓越行动计划高起点新刊，Featured Article)
[6] Haoran Shen+, Peixian Zhuang+, Jiahao Kou, Yuxing Zeng, Haoying Xu, Jiangyun Li*. MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, 2026.
[7] Yijian Wang+, Peixian Zhuang+, Zhenqi Fu, Jiaquan Yan*, Zuoyong Li. MCSF-Net: A Multi-Color Space Fusion Network for Underwater Image Enhancement. IEEE Transactions on Multimedia, vol. 28, pp. 1534-1548, 2026.
[8] Xiaochen Zhang, Jiangyun Li*, Hao Wang, Peixian Zhuang. Frequency-Driven State Space Model for Remote Sensing Pansharpening. IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 5911314, 2026.
[9] Zheng Liang, Peixian Zhuang, Weidong Zhang, Xinwen Wan, Jinqin Zhong*. ACOBT: An Image Restoration Method via Adaptive Color Correction, Optimized Backscatter Light and Improved Transmission. IEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 5006117, 2026.
[10] Xiuna Zeng, Zhenqi Fu, Peixian Zhuang, Xiaotong Tu*, Yue Huang, Xinghao Ding. WaterLUT: A Lightweight and Generalizable Framework for Real-Time Underwater Image Enhancement. IEEE Journal of Oceanic Engineering, vol. 51, no.2, pp. 1592-1606, 2026.
[11] Hao Wang+, Peixian Zhuang+, Xiaochen Zhang, Jiangyun Li*. DBMGNet: A Dual-Branch Mamba-GCN Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-17, 2025. (Google Citation: 60+)
[12] Peixian Zhuang, Xiaochen Zhang, Hao Wang, Tianxiang Zhang, Leiming Liu, Jiangyun Li*. FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 6299-6313, 2025. (ESI Highly Cited Paper, Google Citation: 40+)
[13] Peixian Zhuang*, Xinheng Zhang, Junjie Tong, Chenyu Wang, Jieyu Yuan, Chongyi Li*. Underwater Light Field Imaging: A Survey. CAAI Artificial Intelligence Research, vol. 4, pp. 9150051, 2025. (中国科技期刊卓越行动计划高起点新刊)
[14] Yuemei Li, Guojia Hou*, Kunqian Li, Peixian Zhuang, Zhenkuan Pan. Dual Higher-order Total Variation Model for Underwater Image Restoration. IEEE Transactions on Multimedia, vol. 29, pp. 8118-8130, 2025.
[15] Wei Tang, Yuxiang Dai, Boyu Zhang, Zhang Shi, Ying-Hua Chu, Peixian Zhuang, Dinggang Shen, Chengyan Wang, He Wang*. Aleatoric-Uncertainty-Aware Maximum Intensity Projection-Based GAN for 7T-Like Generation from 3T TOF-MRA. IEEE Journal of Biomedical and Health Informatics, vol. 29, no. 9, pp. 6664-6677, 2025.
[16] Zheng Liang, Weidong Zhang, Hang Song, Haohui Huang, Chuanjian Wang*, Peixian Zhuang*. Underwater Image Enhancement via Piecewise Color Balance and Multi-scale Enhancement Fusion. IEEE Journal of Oceanic Engineering, vol. 50, no. 3, pp. 1960-1977, 2025.
[17] Peixian Zhuang*, Jiangyun Li*, Qing Li, Lei Cai, Sam Kwong. Decomposition-Estimation-Reconstruction: An Automatic and Accurate Neuron Extraction Paradigm. IEEE Transactions on Cybernetics, vol. 54, no. 10, pp. 5938-5951, 2024.
[18] 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, vol. 34, no. 11, pp. 10930-10943, 2024. (ESI Highly Cited Paper, Google Citation: 100+)
[19] 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 & Hot Paper , Google Citation: 430+)
[20] 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, vol. 62, pp. 4210117, 2024.
[21] 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, vol. 50, no. 1, pp. 213-227, 2024.
[22] Weidong Zhang, Baiqiang Yu, Guohou Li, Peixian Zhuang*, Zheng Liang, Wenyi Zhao. Unified Multi-color-model-learning-based Deep Support Vector Machine for Underwater Image Classification. Engineering Applications of Artificial Intelligence, vol. 138, pp. 109437, 2024.
[23] 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 & Hot Paper , Google Citation: 250+)
[24] 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, vol. 34, no. 3, pp. 1726-1742, 2024. (ESI Highly Cited Paper , Google Citation: 70+)
[25] Weidong Zhang, Gongchao Chen, Peixian Zhuang, Wenyi Zhao, Ling Zhou*. CATNet: Cascaded Attention Transformer Network for Marine Species Image Classification. Expert Systems with Application, vol. 256, pp. 124932, 2024. (ESI Highly Cited Paper , Google Citation: 90+)
[26] 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. (ESI Highly Cited Paper, Google Citation: 150+)
[27] 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 & Hot Paper , Google Citation: 130+)
[28] 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.
[29] 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 & Hot Paper , Google Citation: 220+）
[30] 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 & Hot Paper , Google Citation: 570+)
[31] 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 & Hot Paper , 河南省教育厅优秀科技论文一等奖, Google Citation: 970+)
[32] 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. (Google Citation: 70+)
[33] 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最佳论文, Google Citation: 470+)
[34] Peixian Zhuang*. Retinex Underwater Image Enhancement with Multi-Order Gradient Priors. IEEE International Conference on Image Processing (ICIP), pp. 1709-1713, 2021.
[35] 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. (Google Citation: 50+)
[36] Yecai Guo*, Haiyu Li, 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. (Most Cited No.1, ESI Highly Cited & Hot Paper , Google Citation: 610+）
[37] 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.
[38] Peixian Zhuang*, Xinghao Ding. Divide-and-Conquer Framework for Image Restoration and Enhancement. Engineering Applications of Artificial Intelligence, vol. 85, pp. 830-844, 2019.
[39] 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.
[40] 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: 830+）
[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, 结题
[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, 结题
[3] 国家自然科学基金青年科学基金项目 (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. 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] 国家重点研发计划重点专项 (No. 2023YFB4706902), 强冲击载荷下机器人振动抑制技术, 2023—2026, 200万元, 参与，在研
[6] 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, 参与, 结题
[7] 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
[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, 结题
[9] 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
[10] 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
[11] 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
[12] 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
[P1] 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. 中国发明专利 (专利号：ZL202311817383.7)
[P2] 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. 中国发明专利 (专利号：ZL202410070687.X)
[P3] 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. 中国发明专利 (专利号：ZL202410342527.6)
[P4] 庄培显, 张新恒, 李擎, 李江昀, 童俊杰, 王唯臻, 孙仕杰, 史浩杰. 基于深度迭代的水下图像增强与去模糊方法及系统. 中国发明专利 (专利号：ZL202410442528.8)
[P5] 庄培显, 张新恒, 李擎, 李江昀, 史浩杰，童俊杰, 孙仕杰, 王唯臻. 基于去噪与多阶稀疏联合先验的水下图像增强方法及系统. 中国发明专利 (专利号：ZL202410507215.6)
[P6] 庄培显, 张新恒, 李擎, 李江昀, 童俊杰, 王唯臻, 史浩杰, 孙仕杰. 基于信息熵保真和多阶光照先验的水下图像增强方法. 中国发明专利 (专利号：ZL202410549702.9)
[P7] 庄培显, 张新恒, 李擎, 李江昀, 王宸宇, 童俊杰, 史浩杰, 孙仕杰, 王唯臻. 一种基于收缩函数保真的水下图像海洋雪去除方法及装置. 中国发明专利 (专利号：ZL202410625747.X)
[P8] 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)
[P9] 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)
[B10] 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] 2026 《科学中国人》专访 (第4期：深蓝逐梦铸“慧眼”)
[2] 2025/2024/2023 “全球前2%顶尖科学家” (年度影响力榜单)
[3] 2025/2024 “全球前0.05%顶尖学者” (终身榜单)
[4] 2024 “海洋强国青年科学家” 提名获得者 (全国仅30人)
[5] 2023 IFAC EAAI (人工智能TOP期刊) 最佳论文
[6] 2025 《国防科技大学学报》优秀审稿人
[7] 2025 《数字海洋与水下攻防》优秀青年编委
[8] 2025 《红外与激光工程》光鉴明澈奖
[9] 2025 《Biomimetic Intelligence and Robotics》 优秀审稿人
[10] 2023 河南省教育厅科技成果奖优秀科技论文奖一等奖
[11] 2023/2022 《电子与信息学报》最佳审稿人
[10] 2021 人工智能顶会AAAI TOP 25%审稿人, etc.
[1] 2026 中国人工智能学会离散智能计算专委会委员
[2] 2026 国家重点研发计划专项中期考核评审专家
[3] 2025 国际人工智能科学院具身智能与空间智能分会理事
[4] 2025 中央电视台国家级科创人才节目《中国好团队》评委
[5] 2025 澳大利亚Deakin University博士学位论文评审人
[6] 2025/2026 厦门大学硕士研究生学位答辩专家
[7] 2024 国家自然科学基金重点项目立项建议书评审
[8] 2024 CSCIED科技核心评价数据库评委
[9] 2021 国家自然科学基金涵评专家, etc.
[1] IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Associate Editor
[2] 2026 《iMeta》 (IF: 44.4, 全球排名47/22643，中国排名4/819), 青年编委
[3] 2025 《Remote Sensing》, Guest Editor
[4] 2025 《中国图象图形学报》(人工智能驱动的海洋立体观测), 专题编委
[5] 2025-2027 《国防科技大学学报》, 青年编委
[6] 2025-2027 《海洋信息技术与应用》, 青年编委
[7] 2025-2027 《海洋技术学报》, 青年编委
[8] 2025-2026 《Journal of Marine Environmental Engineering》, 青年编委
[9] 2024-2026 《CAAI Artificial Intelligence Research》, Area Editor
[10] 2024 《数字海洋与水下攻防》(涉水光学图像感知与处理) , 专题编委
[11] 2024-2025 《水下无人系统学报》, 青年编委
[12] 2023-2025 《数字海洋与水下攻防》, 青年编委
[13] 2022 《电子与信息学报》(恶劣环境下的图像处理技术), 专题编委, etc.
[1] 2025 CSIG图图名师讲堂 (人工智能驱动的海洋立体观测) Panel环节报告
[2] 2025 东北师范大学（双一流）数学与统计学院 特邀报告
[3] 2023 VALSE（视觉与学习青年学者研讨会）第130期 特邀报告
[4] 2022 《电子与信息学报》E家之言论坛（第23期）特邀报告, etc.
IEEE TPAMI, TIP, TCVST, TMM, TNNLS, TCYB, TII, TGRS, TCI, TSMC, JOE, etc.
IJCV, ISPRS P&RS, Information Fusion, PR, etc.
iMeta (IF：44.4), 计算机学报, 中国图象图形学报, 国防科技大学学报等.
AAAI, ICASSP, ICME, etc.
[1] 戴于翔（复旦大学读博，目前是复旦大学博士后）
[2] 叶飞（南京理工大学读博，目前是南京审计大学讲师）
[3] 张笑辰（读博，北京理工大学/北京通用人工智能研究院联培）
[4] 王昊（读博，中山大学/中关村学院联培）
[5] 王一键（读博，西北工业大学）
[6] 张新恒（保研，浙江大学）, etc.
Department of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China