Chao Li

Orcid: 0009-0007-3639-4223

Affiliations:

Harbin Institute of Technology, School of Electronics and Information Engineering, Shenzhen, China
Shenzhen University, School of Electronic and Information Engineering, Shenzhen, China (until 2021)

According to our database¹, Chao Li authored at least 21 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Entropy-aware image representation via 2D Gaussian splatting.

[BibT_eX]

[DOI]

Signal Process., 2026

Turbo principles meet compression: Rethinking nonlinear transformations in learned image compression.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2026

2025

Content-Distortion High-Order Interaction for Blind Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, April, 2025

One is All: A Unified Rate-Distortion-Complexity Framework for Learned Image Compression Under Energy Concentration Criteria.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Adaptive cross-channel transformation based on self-modulation for learned image compression.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2025

Exploring High Dimensional Feature Space With Channel-Spatial Nonlinear Transforms for Learned Image Compression.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2025

Structured Sparsity Learning for Efficient Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

2024

Multirate Progressive Entropy Model for Learned Image Compression.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Leveraging Redundancy in Feature for Efficient Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Nonlinear Transforms in Learned Image Compression From a Communication Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2023

A Complex-Valued Neural Network Based Robust Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022

Transformations in Learned Image Compression from a Modulation Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Exploring Structural Sparsity in Neural Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Universal Efficient Variable-Rate Neural Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

AdderIC: Towards Low Computation Cost Image Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Universal Efficient Variable-rate Neural Image Compression.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Convolutional Networks with Boosting Attention Convolutions.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2019

MSANet: A Multi-Scale Attention Module.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Chao Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...