Greetings! I received my bachelor degree in information and computing sciences at the School of Mathematical Sciences, University of Electronic Science and Technology of China (UESTC) in 2022, supervised by Prof. Xile Zhao. I am currently a Ph.D. student started from 2024 at the School of Mathematics and Statistics, Xi’an Jiaotong University (XJTU), supervised by Prof. Deyu Meng.
My research interests include low-rank tensor modeling and unsupervised learning for data recovery, e.g., image inpainting, deraining, seismic denoising. I served as a reviewer/PC for CVPR, ICCV, ECCV, AAAI, ACM MM, SIAM J. Imag. Sci., IEEE TCSVT, IEEE TGRS, IEEE TII, etc.
E-mail: yisiluo1221@foxmail.com
Yisi Luo, Xile Zhao, Kai Ye, and Deyu Meng, ‘‘STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation,’’ IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [code]
Yisi Luo, Xile Zhao, Kai Ye, and Deyu Meng, ‘‘NeurTV: Total Variation on the Neural Domain,’’ SIAM Journal on Imaging Sciences, 2025. [arXiv] [code]
Yisi Luo, Xile Zhao, and Deyu Meng, ‘‘Revisiting Nonlocal Self-Similarity from Continuous Representation,’’ IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. [arXiv] [code]
Yisi Luo, Xile Zhao, Zhemin Li, Michael K. Ng, and Deyu Meng, ‘‘Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery,’’ IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. (ESI highly cited paper) [arXiv] [code]
Yisi Luo, Xile Zhao, Taixiang Jiang, Yi Chang, Michael K. Ng, and Chao Li, ‘‘Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery,’’ IEEE Transactions on Image Processing, 2022. [arXiv] [code]
Yisi Luo, Xile Zhao, Deyu Meng, and Taixiang Jiang, ‘‘HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging,’’ IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [code]
Yisi Luo, Xile Zhao, Taixiang Jiang, Yubang Zheng, and Yi Chang, ‘‘Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Unsupervised Deep Image Prior,’’ IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. [arXiv] [code]
Zitai Xu*, Yisi Luo*, Bangyu Wu, and Deyu Meng, ‘‘S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning,’’ IEEE Transactions on Geoscience and Remote Sensing, 2023. (*Equal contribution)
Junhao Zhuang*, Yisi Luo*, Xile Zhao, Taixiang Jiang, Yi Chang, and Jun Liu, ‘‘Unsupervised Video Rain Streaks Removal with Deep Foreground-Background Modeling,’’ Journal of Computational and Applied Mathematics, 2023. (*Equal contribution)
Junhao Zhuang*, Yisi Luo*, Xile Zhao, and Taixiang Jiang, ‘‘Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal,’’ IEEE Signal Processing Letters, 2021. (*Equal contribution)
Junhao Zhuang, Yisi Luo, Xile Zhao, Taixiang Jiang, and Bichuan Guo, ‘‘UConNet: Unsupervised Controllable Network for Image and Video Deraining,’’ ACM International Conference on Multimedia (ACM MM), 2022. [supplementary materials]
Zitai Xu, Yisi Luo, Bangyu Wu, Deyu Meng, and Yangkang Chen, ‘‘Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3D Seismic Denoising,’’ IEEE Transactions on Geoscience and Remote Sensing, 2024.
Yanyi Li, Xi Zhang, Yisi Luo#, and Deyu Meng, ‘‘Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery’’, AAAI Conference on Artificial Intelligence (AAAI), 2025. (#Corresponding author)
Zitai Xu, Bangyu Wu#, Yisi Luo#, Liuqing Yang, and Yangkang Chen, ‘‘SelfMixed: Self-supervised Mixed Noise Attenuation for Distributed Acoustic Sensing Data’’, Geophysics, 2024. (#Corresponding author)
Jiayi Li, Jinyu Xie, Yisi Luo#, Xile Zhao#, and Jianli Wang, ‘‘H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization’’, IEEE Geoscience and Remote Sensing Letters, 2023. (#Corresponding author)
Jianli Wang, Tingzhu Huang, Xile Zhao, Yisi Luo, and Taixiang Jiang, ‘‘CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multi-Dimensional Image Completion,’’ IEEE Transactions on Neural Networks and Learning Systems, 2022.
Tingwei Zhou, Xile Zhao, Jianli Wang, Yisi Luo, Min Wang, Xiaoxuan Bai, Hong Yan, ‘‘DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery,’’ IEEE Transactions on Multimedia, 2025.
Kexin Shi, Jiangjun Peng, Jing Gao, Yisi Luo, and Shuang Xu, ‘‘Hyperspectral Image Denoising via Double Subspace Deep Prior,’’ IEEE Transactions on Geoscience and Remote Sensing, 2024.
国家自然科学基金青年学生项目, 2024-2027
西安交大“学术之星”, 2024
Huawei Scholarship, 2023 (华为奖学金)
Outstanding Winner of 2021 ICM/MCM, 2021 (数学建模美赛 O 奖)
AMS Award of 2021 ICM/MCM, 2021 (数学建模美赛美国数学会冠名奖)
2018-2019 China National Scholarship, 2019 (国家奖学金)
2019-2020 China National Scholarship, 2020 (国家奖学金)