Welcome to Yurong Chen’s Homepage 陈煜嵘

“困时切莫间断,熬过此关,便可少进.再进在困,再困再奋,自有亨通精进之日.”

I am now a Ph.D. student supervised by Prof. Yaonan Wang (王耀南) and Prof. Hui Zhang (张辉) at Hunan University （湖南大学）. My research interests include hyperspectral computational imaging, and statistical machine learning (高光谱计算成像与机器学习算法). Previously, I graduated with the M.S. degree in ECE from the University of Pittsburgh (UPitt) in 2020.

Contact me Email: chenyurong1998 AT outlook.com

Publications

Google Scholar

• Yurong Chen, Yaonan Wang, Hui Zhang, “UnNull: Unsupervised Range-Nullspace Learning for Multispectral Demosaicing and Reconstruction,” IEEE Transactions on Image Processing (TIP), 2025. [PDF] [Code]

• Yurong Chen, Yaonan Wang, Hui Zhang, “Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024. [PDF] [Code]

• Yurong Chen, Yaonan Wang, Hui Zhang, “Prior Image Guided Snapshot Compressive Spectral Imaging,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [PDF] [Code]

• Yurong Chen, Hui Zhang, Yaonan Wang, et al., “Flex-DLD: Deep Low-rank Decomposition Model with Flexible Priors for Hyperspectral Image Denoising and Restoration,” IEEE Transactions on Image Processing (TIP), 2023. [PDF] [Code]

• Yurong Chen, Hui Zhang, Yaonan Wang, et al., “ADMM-DSP: A Deep Spectral Image Prior for Snapshot Spectral Image Demosaicing,” IEEE Transactions on Industrial Informatics (TII), 2023. [PDF]

• Yurong Chen, Hui Zhang, Yaonan Wang, et al., “D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation,” IEEE Transactions on Cybernetics (TCyber), 2023. [PDF]

• Yurong Chen, Hui Zhang, Yaonan Wang, et al., “TAE-Seg: Generalized Lung Segmentation via Tile-wise AutoEncoder Enhanced Network,” IEEE Transactions on Instrumentation and Measurement (TIM), 2022. [PDF] [Code]

• 陈煜嵘， 王耀南， 张辉，等, “医学高光谱显微成像与智能分析关键技术研究及应用 （综述）,” 人工智能, 2022.

• Yurong Chen, Hui Zhang, Yaonan Wang, et al., “MAMA Net: Multi-scale Attention Memory Autoencoder Network for Anomaly Detection,” IEEE Transactions on Medical Imaging (TMI), 2021. [PDF]

• Yurong Chen, Haoteng Tang, Lei Guo, et al., “A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network,” IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020. [PDF]

Miscellaneous

• Raman spectrometer via off-the-shelf optics [Youtube] [BliBli].
• Photograph
• 《归国杂记》

Dataset

• HVAD: Hyperspectral Vaccine Anomaly Detection Dataset [Link]
• MVTec AD-C Robustness Benchmark: The Corrupted MVTec Anomaly Detection Dataset [Link]

Study Blog

• The implementation of the Total Variation Denoising: matlab.
• The implementation of the Nystrom Approximation: matlab.
• The implementation of the Supervised PCA: matlab.
• The implementation of the Spectral Cluster: matlab.
• The implementation of the Locally Linear Embedding (LLE): matlab.
• The implementation of the MDS and the Isomap: matlab.
• The implementation of Dual PCA, and Kernel PCA (video, code).
• The implementation of the Robust PCA: python.
• The implementation of the Principal Component Analysis (PCA) with eig() function: matlab.
• The implementation of the Singular Value Decomposition (SVD) with eig() function: matlab.
• The implementation of Covariance and Correlation.
• The understanding of the VAE.
• The understanding of the Evidence Lower Bound.
• The understanding of the Gaussian Discriminant Analysis.
• The understanding of the Genetic Programming in Hyperspectral Images.
• The understanding of the Hilbert Schmidt Independence Criterion in Machine Learning.