Wen Tan

According to our database, Wen Tan authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Chao Li, Wen Tan, Fanyang Meng, Runwei Ding, Ye Wang, Wei Liu, Yongsheng Liang

J. Vis. Commun. Image Represent., 2026

2025

ShiftLIC: Lightweight Learned Image Compression With Spatial-Channel Shift Operations.

Youneng Bao, Wen Tan, Chuanmin Jia, Mu Li, Yongsheng Liang, Yonghong Tian

IEEE Trans. Circuits Syst. Video Technol., September, 2025

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

Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Yongsheng Liang

Signal Process. Image Commun., 2025

Stable successive Neural Image Compression via coherent demodulation-based transformation.

Youneng Bao, Wen Tan, Mu Li, Fanyang Meng, Yongsheng Liang

Signal Process., 2025

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

Wen Tan, Fanyang Meng, Chao Li, Youneng Bao, Yongsheng Liang

CAAI Trans. Intell. Technol., 2025

SFNIC: Hybrid Spatial-Frequency Information for Lightweight Neural Image Compression.

Youneng Bao, Wen Tan, Mu Li, Jiacong Chen, Qingyu Mao, Yongsheng Liang

CAAI Trans. Intell. Technol., 2025

Structured Sparsity Learning for Efficient Learned Image Compression.

Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Lihan Zhu, Yongsheng Liang

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

Grouped Transform for Ultra-Low-Complexity Learned Image Compression.

Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang

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

Multimodal-Guided Perceptual Image Compression via Joint Text and Audio.

Genhong Wang, Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Enhanced Interpretability in Learned Image Compression via Convolutional Sparse Coding.

Yiwen Tu, Wen Tan, Youneng Bao, Genhong Wang, Fanyang Meng, Yongsheng Liang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Leveraging Redundancy in Feature for Efficient Learned Image Compression.

Peng Qin, Youneng Bao, Fanyang Meng, Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Taylor series based dual-branch transformation for learned image compression.

Youneng Bao, Wen Tan, Linfeng Zheng, Fanyang Meng, Wei Liu, Yongsheng Liang

Signal Process., November, 2023

A Complex-Valued Neural Network Based Robust Image Compression.

Can Luo, Youneng Bao, Wen Tan, Chao Li, Fanyang Meng, Yongsheng Liang

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

A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression.

Yuting Hu, Wen Tan, Fanyang Meng, Yongsheng Liang

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Universal Learned Image Compression With Low Computational Cost.

Bowen Li, Xin Yao, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan

CoRR, 2022

Transformations in Learned Image Compression from a Modulation Perspective.

Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang

CoRR, 2022

Exploring Structural Sparsity in Neural Image Compression.

Shanzhi Yin, Chao Li, Fanyang Meng, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu

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