Xuelu Li

About Me

Research Assistant in Information Processing and Algorithms Laboratory (iPAL)

I received my Bachelor degree and Master degree in Harbin Insitute of Technology, China. During the period, I've being researched in the area of 3-D ISAR imaging technique. Curretly, I am pursuing my Phd degree in Electrical Engineering at Pennsylvania State University. My laboratory is Information Processing and Algorithms Laboratory (IPAL) led by Prof. Monga, where I am mainly doing research about image and signal processing using deeplearning frameworks and sparse coding techniques.


Internship Experiences

Research Intern


Jun. 2020 - Sept. 2020

Research Intern


Jan. 2020 - Apr. 2020


Research and Publications

Regularized deep learning frameworks applied in image analysis and vision tasks
Robust Deep 3-D Blood Vessel Segmentation Using Structural Priors
X. Li, R. Bala, V. Monga, submitted to IEEE Transactions on Image Processing (TIP), 2020

NonLocal Channel Attention for NonHomogeneous Image Dehazing [pdf] [code]
K. Metwaly, X. Li, T. Guo, V. Monga, accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), (Honorable Mention Award) of NTIRE 20 Image Dehazing Challenge, 2020

NTIRE 2019 Challenge on image dehazing: Methods and results
C. O. Ancuti, C. Ancuti, R. Timofte, X. Li, et al, acceped to IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020
Regularized Feature Decomposition Deep Network for Histopathological Image Classification
X. Li, V. Monga, submitted to IEEE Transactions on Image Processing (TIP), 2020

Group Based Deep Shared Feature Learning Network for Fine-grained Image Classification [pdf] [code]
X. Li, V. Monga, accepted to British Machine Vision Conference (BMVC), 2019 (Oral)

Dense Scene Information Estimation Network for Dehazing [pdf] [code]
T. Guo, X. Li, V. Cherukuri, V. Monga, acceped to IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), (Winner) of NTIRE 19 Image Dehazing Challenge, 2019

NTIRE 2019 Challenge on image dehazing: Methods and results
C. O. Ancuti, C. Ancuti, R. Timofte, X. Li, et al, accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
Convex optimization-based algorithms for Sparse Signal Recovery and Image. Classification
Multi-view Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors
X. Li, V. Monga, accepted to IEEE Transactions on Geoscience and Remote Sensing (TGARS), 2019

Analysis-Synthesis Learning with Shared Features: Algorithms for Histology Image Classification [pdf] [code]
X. Li, V. Monga, U. A. Rao, accepted to IEEE Transactions on Biomedical Engineering (TBME), 2019

Analysis-Synthesis Model Learning with Shared Features: A New Framework for Histopathological Image Classification [pdf] [code]
X. Li, V. Monga, U. A. Rao, accepted to IEEE International Symposium on Biomedical Imaging (ISBI), 2018

Collaborative sparse priors for multi-view ATR
X. Li, V. Monga, accepted to International Society for Optics and Photonics, Automatic Target Recognition XXVIII, 2018

Collaborative sparse priors for infrared image multi-view ATR [pdf] [code]
X. Li, V. Monga, accepted to IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2018
Inverse synthetic aperture radar imaging techniques.
Three-dimensional Imaging Based on the Combination of ISAR Technique and MIMO Radar System
Y. Wang, X. Li, accepted to IEEE Transaction on Geoscience and Remote Sensing (TGARS), 2018

Three-Dimensional Interferometric ISAR Imaging for the Ship Target Under the Bi-Static Configuration
Y. Wang, X. Li, accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016