Chao Li

Orcid: 0000-0002-3860-0437

Affiliations:
  • Harbin Engineering University, College of Information and Communication Engineering, China
  • RIKEN Brain Science Institute, Laboratory for Advanced Brain Signal Processing, Japan


According to our database1, Chao Li authored at least 52 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bayesian tensor network structure search and its application to tensor completion.
Neural Networks, 2024

Discovering More Effective Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
CoRR, 2024

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs).
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models.
CoRR, 2023

SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search.
CoRR, 2023

Multi-level Contrastive Learning for Self-Supervised Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Representation Disentanglement in Generative Models with Contrastive Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery.
IEEE Trans. Image Process., 2022

Hyperspectral super-resolution via coupled tensor ring factorization.
Pattern Recognit., 2022

Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Tensor Neural Controlled Differential Equations.
Proceedings of the International Joint Conference on Neural Networks, 2022

Permutation Search of Tensor Network Structures via Local Sampling.
Proceedings of the International Conference on Machine Learning, 2022

Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Are we pruning the correct channels in image-to-image translation models?
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Low Tensor-Ring Rank Completion by Parallel Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2021

L3C-Stereo: Lossless Compression for Stereo Images.
CoRR, 2021

Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hide Chopin in the Music: Efficient Information Steganography Via Random Shuffling.
Proceedings of the IEEE International Conference on Acoustics, 2021

Siamese Prototypical Contrastive Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

On the Memory Mechanism of Tensor-Power Recurrent Models.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Tensor Communication Waveform Design With Semi-Blind Receiver in the MIMO System.
IEEE Trans. Veh. Technol., 2020

Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion.
Mach. Learn., 2020

H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution.
CoRR, 2020

Evolutionary Topology Search for Tensor Network Decomposition.
Proceedings of the 37th International Conference on Machine Learning, 2020

TPFN: Applying Outer Product Along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Tensor-Ring Nuclear Norm Minimization and Application for Visual Data Completion.
CoRR, 2019

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tensor-ring Nuclear Norm Minimization and Application for Visual : Data Completion.
Proceedings of the IEEE International Conference on Acoustics, 2019

Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling.
Proceedings of the IEEE International Conference on Acoustics, 2019

Guaranteed Matrix Completion Under Multiple Linear Transformations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Novel Framework for Wireless Digital Communication Signals via a Tensor Perspective.
Wirel. Pers. Commun., 2018

Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion.
CoRR, 2018

Low-Rank Tensor Decomposition via Multiple Reshaping and Reordering Operations.
CoRR, 2018

Generative Adversarial Positive-Unlabelled Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Anomaly detection of spectrum in wireless communication via deep auto-encoders.
J. Supercomput., 2017

Canonical Polyadic Decomposition With Auxiliary Information for Brain-Computer Interface.
IEEE J. Biomed. Health Informatics, 2017

A generative adversarial framework for positive-unlabeled classification.
CoRR, 2017

A new perspective of noise removal from EEG.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016
An mmWave Wireless Communication and Radar Detection Integrated Network for Railways.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Yet Another Schatten Norm for Tensor Recovery.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An mmWave beamforming scheme for disaster detection in high speed railway.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016

Generalized Multi-linear Mixed Effects Model.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2016

2015
Smooth PARAFAC Decomposition for Tensor Completion.
CoRR, 2015

Multi-tensor Completion with Common Structures.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Canonical Polyadic Decomposition with Assistant Information for Brain Computer Interface.
CoRR, 2014

Multi-tensor completion for estimating missing values in video data.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014


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