以下论文列表以罗倚斯老师公开主页中的成果为主，按年份倒序整理。 The publication list below is primarily compiled from Yisi Luo’s public homepage and is organized in reverse chronological order.
部分链接指向 arXiv、OpenReview、项目代码或期刊页面。首版先聚焦负责人相关成果，后续可继续补充全组论文。 Links point to arXiv, OpenReview, project code, or journal pages when available. This first version focuses on the lab leader’s publication record and can later be expanded to the full group.
Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives
Y Luo, X Zhao, D Meng
Science China Information Sciences, 2026 (Article)
Separable Neural Networks: Approximation Theory, NTK Regime, and Preconditioned Gradient Descent
Y Luo, D Meng
International Conference on Learning Representations (ICLR), 2026 (Code)
SpatialCOC: an integrative framework for spatial continuous mapping and cross-omics correction in spatial multi-omics data
M Li, P Sun, Y Luo, G Zhou, X Yang, D Meng, K Ye
Nature Communications, 2026 (Article)
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters
C Yu, Y Luo, K Ye, X Zhao, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026 (Homepage)
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave-Based Neural Tangent Kernel Framework
R Chen, Y Luo, B Wu, D Meng
International Conference on Learning Representations (ICLR), 2026 (Homepage)
Tucker-FNO: Tensor Tucker-Fourier Neural Operator and its Universal Approximation Theory
G Zhou, Z Zeng, Y Luo, Q Xie, D Meng
International Conference on Learning Representations (ICLR), 2026 (Article)
A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle
G Zhou, Y Luo, Z He, Z Jin, X Ge, W Shu, D Meng, X Qiu
International Conference on Machine Learning (ICML Spotlight), 2026 (Article)
Multivariate Neural Directional Total Variation
Z Zeng, G Zhou, Y Luo, X Zhao, Q Xie, D Meng
Pattern Recognition, 2026 (Article)
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
Y Luo, X Zhao, K Ye, D Meng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (Code)
NeurTV: Total Variation on the Neural Domain
Y Luo, X Zhao, K Ye, D Meng
SIAM Journal on Imaging Sciences, 2025 (Article)
Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
X Zhang, Y Li, Y Luo, Q Xie, D Meng
Annual Conference on Neural Information Processing Systems (NeurIPS Spotlight), 2025 (Homepage)
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
Y Li, X Zhang, Y Luo, D Meng
AAAI Conference on Artificial Intelligence (AAAI), 2025 (Homepage)
Efficient Arbitrary-Scale Image Super-Resolution via Functional Tensor Decomposition
G Zhou, Y Luo, X Zhao, D Meng
IEEE Transactions on Multimedia, 2025 (Article)
Full Waveform Inversion with Velocity Model Low-Rank Implicit Neural Representation
R Chen, B Wu, M Li, Y Luo
IEEE Transactions on Geoscience and Remote Sensing, 2025 (Homepage)
Revisiting Nonlocal Self-Similarity from Continuous Representation
Y Luo, X Zhao, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (Article)
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Y Luo, X Zhao, Z Li, M K Ng, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (Article)
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning
Z Xu, Y Luo, B Wu, D Meng
IEEE Transactions on Geoscience and Remote Sensing, 2023 (Homepage)
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery
Y Luo, X Zhao, T Jiang, Y Chang, M K Ng, C Li
IEEE Transactions on Image Processing, 2022 (Article)
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging
Y Luo, X Zhao, D Meng, T Jiang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Code)
Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Unsupervised Deep Image Prior
Y Luo, X Zhao, T Jiang, Y Zheng, Y Chang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 (Article)