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2026
[j12]
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Tianming Zhou, Yulong Cheng, Kanglong Fan, Youneng Bao, Mu Li:
Gradient descent-driven sampling for multimodal long-term scanpath prediction in panoramic videos. Pattern Recognit. 179: 113480 (2026)
[c15]
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Youneng Bao, Yulong Cheng, Yiping Liu, Yichen Yang, Peng Qin, Mu Li, Yongsheng Liang:
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression. AAAI 2026: 14475-14483
2025
[j11]
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  - journals/caaitrit/TanMLBL25
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Wen Tan, Fanyang Meng, Chao Li, Youneng Bao, Yongsheng Liang:
Exploring High Dimensional Feature Space With Channel-Spatial Nonlinear Transforms for Learned Image Compression. CAAI Trans. Intell. Technol. 10(4): 1235-1253 (2025)
[j10]
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  - journals/caaitrit/BaoTLCML25
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Youneng Bao, Wen Tan, Mu Li, Jiacong Chen, Qingyu Mao, Yongsheng Liang:
SFNIC: Hybrid Spatial-Frequency Information for Lightweight Neural Image Compression. CAAI Trans. Intell. Technol. 10(6): 1717-1730 (2025)
[j9]
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  - journals/sigpro/BaoTLML25
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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)
[j8]
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Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Yongsheng Liang:
Adaptive cross-channel transformation based on self-modulation for learned image compression. Signal Process. Image Commun. 138: 117325 (2025)
[j7]
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Youneng Bao, Wen Tan, Chuanmin Jia, Mu Li, Yongsheng Liang, Yonghong Tian:
ShiftLIC: Lightweight Learned Image Compression With Spatial-Channel Shift Operations. IEEE Trans. Circuits Syst. Video Technol. 35(9): 9428-9442 (2025)
[j6]
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  - journals/tmm/LiLMMBTL25
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Chao Li, Tianyi Li, Fanyang Meng, Qingyu Mao, Youneng Bao, Yonghong Tian, Yongsheng Liang:
One is All: A Unified Rate-Distortion-Complexity Framework for Learned Image Compression Under Energy Concentration Criteria. IEEE Trans. Multim. 27: 3992-4007 (2025)
[c14]
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  - conf/iccv/BaoLCLLM25
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Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma:
Dataset Distillation as Data Compression: A Rate-Utility Perspective. ICCV 2025: 1-11
[c13]
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  - conf/icic/WangTBML25
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Genhong Wang, Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang:
Multimodal-Guided Perceptual Image Compression via Joint Text and Audio. ICIC (3) 2025: 169-180
[c12]
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  - conf/iscas/TanBM025
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Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang:
Grouped Transform for Ultra-Low-Complexity Learned Image Compression. ISCAS 2025: 1-5
[c11]
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  - conf/iscas/TanBMLZ025
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Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Lihan Zhu, Yongsheng Liang:
Structured Sparsity Learning for Efficient Learned Image Compression. ISCAS 2025: 1-5
[c10]
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  - conf/nips/ChenMBMMWL25
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Jiacong Chen, Qingyu Mao, Youneng Bao, Xiandong Meng, Fanyang Meng, Ronggang Wang, Yongsheng Liang:
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction. NeurIPS 2025
[i7]
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  - journals/corr/abs-2505-16533
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Jiacong Chen, Qingyu Mao, Youneng Bao, Xiandong Meng, Fanyang Meng, Ronggang Wang, Yongsheng Liang:
Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction. CoRR abs/2505.16533 (2025)
[i6]
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  - journals/corr/abs-2507-17221
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Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma:
Dataset Distillation as Data Compression: A Rate-Utility Perspective. CoRR abs/2507.17221 (2025)
[i5]
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  - journals/corr/abs-2511-07903
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Youneng Bao, Yulong Cheng, Yiping Liu, Yichen Yang, Peng Qin, Mu Li, Yongsheng Liang:
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression. CoRR abs/2511.07903 (2025)
2024
[j5]
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  - journals/jrtip/ChenMBHML24
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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]
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  - journals/tip/LiBSLLX24
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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]
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  - conf/icassp/QinBMTLWL24
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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]
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  - conf/icassp/CaoBMLTWL24
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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]
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  - conf/icmcs/TuTBWML24
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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]
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  - conf/prcv/LiLYBML24
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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]
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  - journals/sigpro/BaoTZMLL23
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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]
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  - journals/tcsv/BaoMLMTL23
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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]
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  - conf/prcv/LuoBTLML23
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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]
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  - journals/spl/LiuBLM22
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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]
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  - conf/icassp/YinLBLML22
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Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Fanyang Meng, Wei Liu:
Universal Efficient Variable-Rate Neural Image Compression. ICASSP 2022: 2025-2029
[c3]
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  - conf/icassp/LiYLBML22
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Bowen Li, Xin Yao, Chao Li, Youneng Bao, Fanyang Meng, Yongsheng Liang:
AdderIC: Towards Low Computation Cost Image Compression. ICASSP 2022: 2030-2034
[c2]
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  - conf/icip/YinLMTBLL22
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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]
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  - journals/corr/abs-2202-04595
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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]
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  - journals/corr/abs-2203-02158
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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]
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  - journals/corr/abs-2206-11599
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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]
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  - conf/icip/BaoLMLLL21
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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]
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  - journals/corr/abs-2111-11305
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Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang:
Universal Efficient Variable-rate Neural Image Compression. CoRR abs/2111.11305 (2021)

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