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2020 – today
- 2025
[j6]Youneng Bao, Wen Tan, Mu Li
, Fanyang Meng, Yongsheng Liang:
Stable successive Neural Image Compression via coherent demodulation-based transformation. Signal Process. 227: 109741 (2025)- 2024
- [j5]Jiacong Chen, Qingyu Mao, Youneng Bao, Yingcong Huang, Fanyang Meng, Yongsheng Liang:
Lightweight parameter de-redundancy demoiréing network with adaptive wavelet distillation. J. Real Time Image Process. 21(1): 6 (2024) - [j4]Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li, Guangming Lu, Yong Xu:
Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression. IEEE Trans. Image Process. 33: 5975-5988 (2024) - [c9]Peng Qin, Youneng Bao, Fanyang Meng, Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang:
Leveraging Redundancy in Feature for Efficient Learned Image Compression. ICASSP 2024: 3055-3059 - [c8]Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang:
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression. ICASSP 2024: 3430-3434 - [c7]Yiwen Tu, Wen Tan, Youneng Bao, Genhong Wang, Fanyang Meng, Yongsheng Liang:
Enhanced Interpretability in Learned Image Compression via Convolutional Sparse Coding. ICME 2024: 1-6 - [c6]Tianyi Li, Chao Li, Shanzhi Yin, Youneng Bao, Fanyang Meng, Yongsheng Liang:
Fine-Grained Adjustable Entropy Models for Rate-Complexity Jointly Adjustable Image Compression. PRCV (9) 2024: 3-14 - 2023
- [j3]Youneng Bao, Wen Tan, Linfeng Zheng, Fanyang Meng, Wei Liu, Yongsheng Liang:
Taylor series based dual-branch transformation for learned image compression. Signal Process. 212: 109128 (2023) - [j2]Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang:
Nonlinear Transforms in Learned Image Compression From a Communication Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1922-1936 (2023) - [c5]Can Luo, Youneng Bao, Wen Tan, Chao Li, Fanyang Meng, Yongsheng Liang:
A Complex-Valued Neural Network Based Robust Image Compression. PRCV (10) 2023: 53-64 - 2022
- [j1]Mengyuan Liu, Youneng Bao, Yongsheng Liang, Fanyang Meng:
Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning. IEEE Signal Process. Lett. 29: 632-636 (2022) - [c4]Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Fanyang Meng, Wei Liu:
Universal Efficient Variable-Rate Neural Image Compression. ICASSP 2022: 2025-2029 - [c3]Bowen Li, Xin Yao, Chao Li, Youneng Bao, Fanyang Meng, Yongsheng Liang:
AdderIC: Towards Low Computation Cost Image Compression. ICASSP 2022: 2030-2034 - [c2]Shanzhi Yin, Chao Li, Fanyang Meng, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu:
Exploring Structural Sparsity in Neural Image Compression. ICIP 2022: 471-475 - [i4]Shanzhi Yin, Fanyang Meng, Wen Tan, Chao Li, Youneng Bao, Yongsheng Liang, Wei Liu:
Exploring Structural Sparsity in Neural Image Compression. CoRR abs/2202.04595 (2022) - [i3]Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang:
Transformations in Learned Image Compression from a Modulation Perspective. CoRR abs/2203.02158 (2022) - [i2]Bowen Li, Xin Yao, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan:
Universal Learned Image Compression With Low Computational Cost. CoRR abs/2206.11599 (2022) - 2021
- [c1]Youneng Bao, Chao Li, Fanyang Meng, Yongsheng Liang, Wei Liu, Kaiyu Liu:
Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing. ICIP 2021: 859-863 - [i1]Shanzhi Yin, Chao Li, Youneng Bao, Yongshang Liang:
Universal Efficient Variable-rate Neural Image Compression. CoRR abs/2111.11305 (2021)
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