Wei Jiang

Orcid: 0000-0001-9169-1924

Affiliations:

Peking University, Shenzhen Graduate School, School of Electronic and Computer Engineering, Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen, China

According to our database¹, Wei Jiang authored at least 21 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., April, 2026

SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MLIC<sup>++</sup>: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2025

Adaptive Prediction Structure for Learned Video Compression.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., February, 2025

BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MLIIC: Meta-Learned Implicit Image Codec with 15× Faster Encoding Speed and Higher Performance.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2025

L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2025

DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2025

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

LLIC: Large Receptive Field Transform Coding With Adaptive Weights for Learned Image Compression.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Learned Image Compression with ROI-Weighted Distortion and Bit Allocation.

[BibT_eX]

[DOI]

CoRR, 2024

LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Hybrid Local-Global Context Learning for Neural Video Compression.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2024

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2024

2023

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression.

[BibT_eX]

[DOI]

Wei Jiang

Ronggang Wang

CoRR, 2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform.

[BibT_eX]

[DOI]

Peirong Ning

Wei Jiang

Ronggang Wang

CoRR, 2023

SLIC: Self-Conditioned Adaptive Transform with Large-Scale Receptive Fields for Learned Image Compression.

[BibT_eX]

[DOI]

Wei Jiang

Peirong Ning

Ronggang Wang

CoRR, 2023

Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

MLIC: Multi-Reference Entropy Model for Learned Image Compression.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Multi-Reference Entropy Model for Learned Image Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Image Quality Assessment with Transformers and Multi-Metric Fusion Modules.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Wei Jiang

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