1.  Basic Information

 Personal Website: https://baoyu2020.github.io/

2.  Self-Introduction

Bao Youneng received his Bachelor's degree from Harbin Engineering University in 2016 and his Master's degree from Dalian University of Technology in 2019. He received his Ph.D. from Harbin Institute of Technology in November 2024 (supervisor: Prof. Liang Yongsheng). Since December 2025, he has been working in the team of Academician Ding Wenhua at the College of Electronics and Information Engineering, Shenzhen University.

He has long been committed to research on "Intelligent Compression and Efficient Computing", focusing on areas such as multimedia visual data compression, AI model compression, and dataset compression. His aim is to reduce the resource consumption of AI systems throughout the entire process of storage, deployment, and training through technological means.

In the past five years, he has published over 10 papers as the first or corresponding author in authoritative journals/conferences such as ICCV, AAAI, and T-CSVT. He serves as a reviewer for renowned publications including IEEE T-IP, T-CSVT, CVPR, and ICCV.

This page was updated in January 2026. For the latest news, please follow the personal homepage: https://baoyu2020.github.io/

3.  Main Experience

[1] 2025.12 - Present: Assistant Professor, College of Electronics and Information Engineering, Shenzhen University

[2] 2025.2 - 2025.12: Postdoctoral Fellow, City University of Hong Kong

[3] 2020.9 - 2024.11: Ph.D., Harbin Institute of Technology

[4] 2019.8 - 2020.8: Engineer, Mindray Medical

[5] 2016.9 - 2019.6: Master's Degree, Dalian University of Technology

[6] 2012.9 - 2016.6: Bachelor's Degree, Harbin Engineering University

4.  Research Directions

[1] Multimedia Visual Data Compression: Intelligent Image/Video Compression, Semantic Compression

[2] AI Model Compression: Token Compression, Model Lightweighting

[3] Dataset Compression: Dataset Distillation, Data Selection

5.  Teaching and Graduate Student Supervision

Course: Artificial Intelligence, Image, Audio & Video Processing Technology and Frontier Applications

[1] Information and Communication Engineering (Academic Master)

[2] New Generation Electronic Information Technology (Professional Master)

6.  Student Recruitment Information:

1. Basic Information: Recruiting 2-3 Master's students per year. Students with backgrounds in computer science, communications, mathematics, etc., are welcome. Excellent undergraduates from related majors are also welcome to participate.

2. Mentoring Experience: Assisted in mentoring several junior students during the Ph.D. period, all of whom published papers in CCF-B or higher tier venues. You can contact previous junior students via email to learn more: 2244626474@qq.com, 1397429755@qq.com

3. Requirements: Not impetuous, enjoys thinking, proactive and self-motivated.

4. Others: After meeting graduation requirements (credits + thesis), support will be provided for students to pursue internships or exchanges.

Interested students can send their personal resumes to email: baoyn@szu.edu.cn

7.  Representative Papers  (# Corresponding author, detailed papers updated on homepage)

[1] 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. (CCF-A Conference)

[2] 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. (CCF-A Conference)

[3] 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. (CAS Zone 1 Top Journal)

[4] 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. (CAS Zone 1 Top Journal)

[5] 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. (CAS Zone 1 Top Journal)