Name：Peixian Zhuang

Title：Lecturer

E-mail：zhuangpeixian@ustb.edu.cn

Office：Jidian Building 1122

Education：

2013.9-2016.12, Ph.D, Xiamen University, Signal and Information Processing

Work Experience：

2017.02-2020.08, Lecturer, School of Electronic and Information Engineering, Nanjing University of Information Science and Technology

2020.09-2022.10, Postdoctor, Department of Automation, Tsinghua University

2022.11-Present, Lecturer, School of Automation and Electrical Engineering, University of Science and Technology Beijing

Research Interests：

Sparse Representation, Bayesian Nonparametric, Deep Neural Network, and Biomedical Imaging.

Courses：

Discrete Mathematics, Multimedia Communication Technology.

Selected Publications：

[1] Peixian Zhuang, Jiamin Wu, Fatih Porikli, Chongyi Li. Underwater Image Enhancement with Hyper-Laplacian Reflectance Priors. IEEE Transactions on Image Processing, 2022, 31: 5442-5455. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article)

[2] Peixian Zhuang, Chongyi Li, Jiamin Wu. Bayesian Retinex Underwater Image Enhancement. Engineering Applications of Artificial Intelligence, 2021, 101: 104171. (ESI Highly Cited Paper, IFAC Paper Prize Award–Application)

[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, 2022, 31: 3997-4010. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article)

[4] Yecai Guo, Hanyu Li, Peixian Zhuang. Underwater Image Enhancement Using a Multi-Scale Dense Generative Adversarial Network. IEEE Journal of Oceanic Engineering, 2020, 45(3): 862-870. (ESI Highly Cited Paper & ESI Hot Paper, Popular Article) 

[5] Peixian Zhuang, Xinghao Ding. Divide-and-Conquer Framework for Image Restoration and Enhancement. Engineering Applications of Artificial Intelligence, 2019, 85: 830-844.

Selected Projects：

[1] National Natural Science Foundation of China, Neuron extraction via depth estimation model based on prior knowledge and data driven

[2] National Natural Science Foundation of China, Quality improvement of underwater degradation image through scene depth estimation based on non-parametric Bayesian model

[3] China Postdoctoral Science Foundation, Research on Bayesian CSMRI reconstruction method based on multi-order data fidelity and gradient prior

[4] National Key R&D Program of China, Situation awareness and cognition of unmanned cluster system under complex and uncertain conditions

[5] National Natural Science Foundation of China, Center for Basic Science of Cognitive Computing

Honors & Awards：

[1] 2023 World’s Top 2% Scientists

[2] 2023 IFAC Engineering Applications of Artificial Intelligence Paper Prize Award-Application

[3] 2023 First Prize for Excellent Natural Science Papers of Henan Province

[4] 2022 Outstanding Reviewer of Journal of Electronics & Information Technology

[5] 2021 Evaluation Expert of National Natural Science Foundation of China

[6] 2021 Top 25% Reviewer of AAAI

[7] 2019 Session Chair of IEEE ICSIP

[8] 2017 Best PhD. Thesis Award in Fujian Province