Xile Zhao | UESTC

Experiences:

I am a Professor in the School of Mathematical Science at University of Electronic Science and Technology of China (UESTC).

In 2012, I received my Ph.D. in Applied Mathematics from UESTC, advised by Prof. Ting-Zhu Huang.

From 2013 to 2014, I worked with Prof. Michael Ng as a post-doc at Hong Kong Baptist University.

From 2016 to 2017, I worked with Prof. Jose M. Bioucas Dias as a visiting scholar at Instituto Superior Técnico.

My research interests are image processing, machine learning, and scientific computing.

Full Publications (6,000+ citations) Teaching Tensor Jungle

Projects:

Selected Publications:

Book Chapter

Transform Based Tensor Singular Value Decomposition in Multi-Dimensional Image Completion
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao
in Book: Tensors for Data Processing: Theory, Methods, and Applications (Elsevier) （Link)

2024

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Yi-Si Luo, Xi-Le Zhao, Zhe-Min Li, Michael K. Ng, De-Yu Meng
IEEE Trans. Pattern Anal. Mach. Intell.

Revisiting Nonlocal Self-Similarity from Continuous Representation,
Yi-Si Luo, Xi-Le Zhao, De-Yu Meng
IEEE Trans. Pattern Anal. Mach. Intell.

Bilateral Tensor Low-Rank Representation in Subspace Clustering and Tensor Recovery for Insufficient Observed Samples
Meng Ding, Xi-Le Zhao, Jing-Hua Yang, Zheng-Chun Zhou, Michael K. Ng
SIAM Journal on Imaging Sciences

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
Yu-Bang Zheng, Xi-Le Zhao, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang
CVPR

High-Order Tensor Singular Value Decomposition from Basic Element Perspective
Sheng Liu, Xi-Le Zhao, Jin-Song Leng, Ben-Zheng Li, Jing-Hua Yang, Xin-Yu Chen
IEEE Trans. Signal Process.

Learnable Transform-Assisted Tensor Decomposition for Spatial-Irregular Multidimensional Data Recovery
Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Shu-Qin Zhang, Jin-Yu Xie, Tai-Xiang Jiang, Michael K. Ng
ACM Transactions on Knowledge Discovery from Data

Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior
Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang
IEEE Trans. Comput. Imaging

The Generalized Tensor Decomposition with Heterogeneous Tensor Product for Third-order Tensors
Yun-Yang Liu, Xi-Le Zhao, Meng Ding , Jianjun Wang , Tai-Xiang Jiang , Ting-Zhu Huang
J. Sci. Comput.

Forecasting Urban Traffic States with Sparse Data Using Hankel Temporal Matrix Factorization
Xin-Yu Chen, Xi-Le Zhao, Chuan Chen
INFORMS Journal on Computing

2023

A Learnable Group-Tube Transform Induced Tensor Nuclear Norm and Its Application for Tensor Completion
Ben-Zheng Li, Xi-Le Zhao, Xiong-Jun Zhang, Teng-Yu Ji, Xin-Yu Chen, Michael K. Ng
SIAM Journal on Imaging Sciences

Spatial-Spectral-Temporal Connective Tensor Network Decomposition for Thick Cloud Removal
Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Jie Lin, Lina Zhuang, Ting-Zhu Huang
ISPRS Journal of Photogrammetry and Remote Sensing [MATLAB Code]

Dictionary Learning with Low-Rank Coding Coefficients for Tensor Completion
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng
IEEE Trans. Neural Netw. Learn. Syst.

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization
Jia-Yi Li, Jin-Yu Xie, Yi-Si Luo, Xi-Le Zhao, Jian-Li Wang
IEEE Geosci. Remote. Sens. Lett.

2022

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging
Yi-Si Luo, Xi-Le Zhao, De-Yu Meng, Tai-Xiang Jiang
CVPR [Pytorch Code]

UConNet: Unsupervised Controllable Network for Image and Video Deraining
Jun-Hao Zhuang, Yisi Luo, Xi-Le Zhao, Tai-Xiang Jiang, Bichuan Guo
ACM International Conference on Multimedia

Nonlinear Transform Based Tensor Nuclear Norm for Low-Rank Tensor Completion
Ben-Zheng Li, Xi-Le Zhao, Teng-Yu Ji, Xiong-Jun Zhang, Ting-Zhu Huang
J. Sci. Comput. [MATLAB Code]

Multi-Dimensional Image Recovery via Fully-Connected Tensor Network Decomposition Under the Learnable Transforms
Cheng-Yao Lyu, Xi-Le Zhao, Ben-Zheng Li, Hao Zhang, Ting-Zhu Huang
J. Sci. Comput.

Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao
J. Sci. Comput.

Tensor Completion via Complementary Global, Local, and Nonlocal Priors (ESI Highly Cited Paper)
Xi-Le Zhao, Jing-Hua Yang, Tian-Hui Ma, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
IEEE Trans. Image Process. [MATLAB Code]

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Yi-Si Luo, Xi-Le Zhao, Tai-Xiang Jiang, Yi Chang, Michael K. Ng, Chao Li
IEEE Trans. Image Process.

Multiscale Feature Tensor Train Rank Minimization for Multidimensional Image Recovery
Hao Zhang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng, Ting-Zhu Huang
IEEE Trans. Cybernetics

Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors
Yu-Chun Miao, Xi-Le Zhao, Xiao Fu, Jian-Li Wang, Yu-Bang Zheng
IEEE Trans. Geosci. Remote Sens.

Robust Thick Cloud Removal for Multi-Temporal Remote Sensing Images Using Coupled Tensor Factorization
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Qiang Zhang, Qiangqiang Yuan
IEEE Trans. Geosci. Remote Sens.

2021

Tensor Completion via Collaborative Sparse and Low-Rank Transforms
Ben-Zheng Li, Xi-Le Zhao, Jian-Li Wang, Yong Chen, Tai-Xiang Jiang, Jun Liu
IEEE Trans. Comput. Imaging

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network
Ye-Tao Wang, Xi-Le Zhao, Tai-Xiang Jiang, Liang-Jian Deng, Yi Chang, Ting-Zhu Huang
IEEE Trans. Neural Netw. Learn. Syst. [TensorFlow Code]

Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform
Jian-Li Wang, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng
IEEE Trans. Image Process.

Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang
AAAI Conference on Artificial Intelligence (AAAI) [Matlab Code]

A Tensor Subspace Representation-Based Method for Hyperspectral Image Denoising
Jie Lin, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Lina Zhuang
IEEE Trans. Geosci. Remote Sens.

Hyperspectral Super-Resolution via Interpretable Block-Term Tensor Modeling
Meng Ding, Xiao Fu, Ting-Zhu Huang, Jun Wang, Xi-Le Zhao
IEEE Journal of Selected Topics in Signal Processing

Nonlocal Patch-Based Fully Connected Tensor Network Decomposition for Multispectral Image Inpainting
Wen-Jie Zheng, Xi-Le Zhao, Yu-Bang Zheng, Zhi-Feng Pang
IEEE Geosci. Remote. Sens. Lett.

2020

Deep Plug-and-Play Prior for Low-Rank Tensor Completion
Xi-Le Zhao, Wen-Hao Xu, Tai-Xiang Jiang, Yao Wang, Michael K. Ng
Neurocomputing [Matlab Code]

Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion
Tai-Xiang Jiang, Michael K. Ng, Xi-Le Zhao, Ting-Zhu Huang
IEEE Trans. Image Process. [Matlab Code]

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization (ESI Highly Cited Paper)
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma, Teng-Yu Ji
IEEE Trans. Geosci. Remote Sens. [Matlab Code]

Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Wei He
IEEE Trans. Geosci. Remote Sens. [Matlab Code]

Spectrum Cartography via Coupled Block-Term Tensor Decomposition
Guoyong Zhang, Xiao Fu, Jun Wang, Xi-Le Zhao, Mingyi Hong
IEEE Trans. Signal Process.

Low-Rank Tensor Train for Tensor Robust Principal Component Analysis
Jing-Hua Yang, Xi-Le Zhao, Teng-Yu Ji, Tian-Hui Ma, Ting-Zhu Huang
Applied Mathematics and Computation [Matlab Code]

Multi-Dimensional Imaging Data Recovery via Minimizing the Partial Sum of Tubal Nuclear Norm
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng
J. Comput. Appl. Math. [Matlab Code]

Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data
Xue-Lei Lin, Michael K. Ng, Xi-Le Zhao
Journal of Mathematical Imaging and Vision [Matlab Code]

Tensor N-Tubal Rank and Its Convex Relaxation for Low-Rank Tensor Recovery
Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma
Information Science [Matlab Code]

2019

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng,Yao Wang
IEEE Trans. Image Process. [Matlab Code]

Low-Rank Tensor Completion Using Matrix Factorization Based on Tensor Train Rank and Total Variation
Meng Ding, Ting-Zhu Huang，Teng-Yu Ji，Xi-Le Zhao, Jing-Hua Yang
J. Sci. Comput. [Matlab Code]

Low-Rank Tensor Completion via Smooth Matrix Factorization
Yu-Bang Zheng, Ting-Zhu Huang, Teng-Yu Ji, Xi-Le Zhao, Tai-Xiang Jiang, Tian-Hui Ma
Applied Mathematical Modelling [Matlab Code]

A Variational Model with Hybrid Hyper-Laplacian Priors for Retinex
Ming-Hui Cheng, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Jie Huang
Applied Mathematical Modelling

2018

Hyperspectral Image Restoration via Total Variation Regularized Low-Rank Tensor Decomposition (ESI Highly Cited Paper)
Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [Matlab Code]

Matrix Factorization for Low-Rank Tensor Completion Using Framelet Prior
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Teng-Yu Ji, Liang-Jian Deng
Information Sciences

2017

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors
Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang
CVPR [Matlab Code]

A Non-Convex Tensor Rank Approximation for Tensor Completion
Teng-Yu Ji, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Liang-Jian Deng
Applied Mathematical Modelling [Matlab Code]

2016

Tensor Completion Using Total Variation and Low-Rank Matrix Factorization
Teng-Yu Ji, Ting-Zhu Huang, Xi-Le Zhao, Tian-Hui Ma, Gang Liu
Information Sciences [Matlab Code]

2015

Alternating Direction Method of Multipliers for Nonlinear Image Restoration Problems
Chuan Chen, Michael K. Ng, Xi-Le Zhao
IEEE Trans. Image Process.

2014

A New Convex Optimization Model for Multiplicative Noise and Blur Removal (ESI Highly Cited Paper)
Xi-Le Zhao, Fan Wang, Michael K. Ng
SIAM Journal on Imaging Sciences [Matlab Code]

2013

Total Variation Structured Total Least Squares Method for Image Restoration
Xi-Le Zhao, Wei Wang, Tie-Yong Zeng, Ting-Zhu Huang, Michael K. Ng
SIAM Journal on Scientific Computing

Deblurring and Sparse Unmixing for Hyperspectral Images
Xi-Le Zhao, Fan Wang, Ting-Zhu Huang, Michael K. Ng, Robert J. Plemmons
IEEE Trans. Geosci. Remote Sens. [Matlab Code]

Fundings:

National Natural Science Foundation of China (国家自然科学基金面上项目, NSFC 12371456), 2024-2027
National Natural Science Foundation of China (国家自然科学基金面上项目, NSFC 61876203), 2019-2022
National Natural Science Foundation of China (国家自然科学基金青年项目, NSFC 61402082), 2015-2017

Academic Activities:

Jury member for PhD thesis defense (Skoltech, supervised by Professor Andrzej Cichocki)

Journal Reviewer:

Awards:

Stanford University World's Top 2% Scientists (2021, 2022 and 2023)

The First Prize of Science and Technology Progress Award of Sichuan Province (2013 and 2015)

The Second Prize in the Contest of Outstanding Young Essay awarded by Chinese Computational Mathematics Society

The backup candidate for the Academic and Technological Leader Program of Sichuan Province

The First Prize of Outstanding Essay for Sichuan and Chongqing Science and Technology Conference Award of Sichuan and Chongqing Association for Science and Technology (2020 and 2021)

The Second Prize of Applied Mathematics Award of Sichuan Mathematics Society

The Hundred-Talent Program of University of Electronic Science and Technology of China