Youneng Bao

Assistant Professor
College of Electronic and Information Engineering (丁文华院士团队),
Shenzhen University

Email: baoyn [at] szu [dot] edu [dot] cn

Google Scholar / DBLP / 中文


Biography

I am currently an Assistant Professor with the College of Electronic and Information Engineering, Shenzhen University. Before that, I was a Postdoctoral Research Fellow at City University of Hong Kong, working with Prof. Kede Ma. I received my Ph.D. degree in Information and Communication Engineering from Harbin Institute of Technology in 2024, supervised by Prof. Yongsheng Liang. Prior to that, I obtained my M.E. degree from Dalian University of Technology in 2019 and B.E. degree from Harbin Engineering University in 2016. I also have industry experience as an Intelligent System Engineer at Mindray and as a Research Intern at Peng Cheng Laboratory.
My research interests lie in "Intelligent Compression and Efficient Computing," with a focus on areas such as multimedia visual data compression, AI model compression, and dataset compression. The goal is to reduce the resource consumption of AI systems throughout the entire pipeline of storage, deployment, and training.

Research Interests

News


Experience


Selected Publications [Google Scholar]

(* Equal Contribution, † Corresponding Author)

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2026

  • Youneng Bao, Yulong Chen, Yiping Liu, Yichen Yang, Peng Qin, Mu Li, and Yongsheng Liang†.
    DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression.
    AAAI Conference on Artificial Intelligence (AAAI), 2026.
    [pdf] [code]

2025

  • Youneng Bao, Yiping Liu, Zhuo Chen, Yongsheng Liang, Mu Li, Kede Ma†.
    Dataset Distillation as Data Compression: A Rate-Utility Perspective.
    International Conference on Computer Vision (ICCV), 2025.
    [pdf] [code]
  • Youneng Bao, Wen Tan, Chuanmin Jia, Mu Li, Yongsheng Liang†, Yonghong Tian.
    ShiftLIC: High-Efficiency Learned Image Compression with Spatial-Channel Shift Operations.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
    [pdf] [code]
  • Youneng Bao, Wen Tan, Mu Li, Jiacong Chen, Qingyu Mao, Yongsheng Liang†.
    SFNIC: Hybrid Spatial-Frequency Information for Lightweight Neural Image Compression.
    CAAI Transactions on Intelligence Technology, 2025.
    [pdf] [code]
  • Youneng Bao, Wen Tan, Mu Li, Fanyang Meng, Yongsheng Liang†.
    Stable Successive Neural Image Compression via Coherent Demodulation-based Transformation.
    Signal Processing(SP), 2025.
    [pdf] [code]
  • Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Lihan Zhu, Yongsheng Liang.
    Structured Sparsity Learning for Efficient Learned Image Compression.
    IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
    [pdf] [code]
  • Wen Tan, Youneng Bao, Fanyang Meng, Yongsheng Liang.
    Grouped Transform for Ultra-Low-Complexity Learned Image Compression.
    IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
    [pdf] [code]
  • Wen Tan, Youneng Bao, Fanyang Meng, Chao Li, Yongsheng Liang.
    Adaptive cross-channel transformation based on self-modulation for learned image compression.
    Signal Processing: Image Communication (SPIC), 2025.
    [pdf] [code]
  • 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 Transactions on Multimedia (TMM), 2025.
    [pdf] [code]

2024

  • Jiacong Chen, Qingyu Mao, Youneng Bao, Xiandong Meng, Fanyang Meng, Ronggang Wang, Yongsheng Liang.
    Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction.
    Conference on Neural Information Processing Systems (NeurIPS), 2024.
    [pdf] [code]
  • Peng Qin, Youneng Bao*, Fanyang Meng, Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang.
    Leveraging redundancy in feature for efficient learned image compression.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
    [pdf] [code]
  • Mu Li, Youneng Bao, Xiaohang Sui, Jinxing Li†, Guangming Lu, Yong Xu.
    Learning Content-Weighted Pseudocylindrical Representation for 360° Image Compression.
    IEEE Transactions on Image Processing (TIP), 2024.
    [pdf] [code]
  • Zhi Cao, Youneng Bao*, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, and Yongsheng Liang†.
    Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression.
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
    [pdf] [code]

2023

  • Youneng Bao, Wen Tan, Linfeng Zheng, Fanyang Meng, Wei Liu, Yongsheng Liang†.
    Taylor Series based Dual-Branch Transformation for Learned Image Compression.
    Signal Processing(SP), 2023.
    [pdf] [code]
  • Can Luo, Youneng Bao*, Wen Tan, Chao Li, Fanyang Meng, and Yongsheng Liang†.
    A Complex-Valued Neural Network Based Robust Image Compression.
    Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.
    [pdf] [code]

2022

  • Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang†.
    Nonlinear Transforms in Learned Image Compression from a Communication Perspective.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
    [pdf] [code]
  • Mengyuan Liu, Youneng Bao, Yongsheng Liang, Fanyang Meng.
    Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning.
    IEEE Signal Processing Letters (SPL), 2022.
    [pdf] [code]

2021

  • Youneng Bao, Chao Li, Fanyang Meng, Yongsheng Liang†, Wei Liu, Kaiyu Liu.
    MBB: A Multi-Scale Method for Data based on Bit Plane Slicing.
    IEEE International Conference on Image Processing (ICIP), 2021.
    [pdf] [code]

Honors & Awards

National Scholarship
University/College Scholarship

Professional Activities