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Shao, Renrong (邵仁荣)

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Ph.D., Postdoc, Assistant Professor
Faculty of Military Health Service
Naval Medical University (Second Military Medical University)
Address: No. 800, Xiangyin Road, Yangpu District, Shanghai, P.R. China
E-mail: roryshaw6613@gmail.com, roryshao@foxmail.com

About me

Renrong Shao is a Assistant Professor and a Postdoctoral Fellow collaborated with Prof. Lulu Zhang (Changjiang Scholar) at the Naval Medical University. He received the Ph.D. degree from the School of Computer Science and Technology, East China Normal University, in 06.2024, advised by (the Young Thousand Talents Program) Prof. Jun Wang and Prof. Wei Zhang. His main research interests include Model Compression, Transfer Learning, AI Generated Content (AIGC) and AI for Science (AI4S). Currently, He has achieved almost 10 achievements, covering Papers, Patents, and Soft Copyrights. As the first author, He has published 4 high-level papers at CCF-A or SCI Q1 level Conferences or Journals and with another some papers under review. During his doctoral career, He has served as a reviewer for several journals and conferences such as TIP, TKDE, ACM MM, PR, CJC, etc. Throughout whole academic career, He has been actively involved in the research and development of over 10 engineering initiatives. Furthermore, He has consistently excelled in academic competitions, garnering many accolades and distinctions on behalf of the institution.

Research

My research interests include:

  • Model Compression: Knowledge Distillation (KD), Model Quantification.

  • Transfer Learning: Data-free Knowledge Distillation(DFKD), Source-free Domain Adaptation (SFDA).

  • Generated Content (AIGC): Large Language Model (LLM), Stable Diffusion Model (SD).

  • AI for Science (AI4S): Medical Image Segmentation (MIS), Protein Language Model(PLM).

Selected publications

  1. Consistent Assistant Domains Transformer for Source-free Domain Adaptation. IEEE Transactions on Image Processing (IEEE TIP), 2025. (CCF A, JCR Q1, IF = 13.7)

    Renrong Shao, W. Zhang*, K. Luo, Q. Li*, J. Wang*.

  2. DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. IEEE International Conference on Data Mining (ICDM-24). (CCF B)

    K. Luo, S. Wang, Y. Fu, Renrong Shao, X. Li*, Y. Lan, M. Gao, and J. Shu.

  3. Data-free Knowledge Distillation for Fine-grained Vision Categorization. IEEE International Conference on Computer Vision (ICCV-23), Oct. 2023. (CCF A)

    Renrong Shao, W. Zhang*, J. Yin, J. Wang*.

  4. Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation[J]. Pattern Recognition, 2023: 109781. (CCF B, JCR Q1, IF = 8.4)

    Renrong Shao, W. Zhang*, J. Wang.

  5. A Survey of Knowledge Distillation in Deep Learning[J]. Chinese Journal of Computer, 45(08):1638-1673, 2022. (CCF A Chinese, IF = 6.8)

    Renrong Shao, Y. Liu, W. Zhang*, J. Wang.

  6. An Online Handwritten Numerals Segmentation Algorithm Based on Spectral Clustering. The International Conference on Neural Information Processing. ICONIP (5) 2018: 506-516. (CCF C)

    Renrong Shao, C. Chen, J. Guo*.

Note: * indicates the corresponding author.

Full list of publications in Google Scholar.

Patents and Copyrights

  1. A compression and acceleration method of diffusion model based on data-free quantization (CN119359572A).

    Renrong Shao, M. Li, X. Feng, B. Wang, J. Wang, W. Zhang

  2. Data-free fine-grained classification model compression system and method based on knowledge distillation (CN114565019A)

    Renrong Shao, Y. Liu, W. Zhang, J. Wang.

  3. ShengZiBao application software. 2018SR727860

    J. Guo, Renrong Shao.

Academic service

Reviewer or PC

  • Chinese Journal of Computer (CJC 22,23), Pattern Recognition (PR 23), IEEE Transactions on Image Processing (IEEE TIP 23), IEEE Transactions on Knowledge and Data Engineering(TKDE 23), ACM Multimedia (ACM MM 23),

    ACM Multimedia (ACM MM 24), International Conference on Image Processing (ICIP 24), International Conference on Neural Information Processing (ICONIP 24, PC Member),

    IEEE International Conference on Robotics and Automation (ICRA 25),International Conference on Intelligent Robots and Systems (IROS 25), International Conference on Neural Information Processing (ICONIP 25).

Teaching

    Spring 2024, Co-Instructor, Frontiers of Computer Science and Engineering. ECNU

Education

  • 07.2020 ~ 07. 2024, Ph.D., Student, School of Computer Science and Technology, East China Normal University.

  • 07.2016 ~ 03. 2019, M.E., School of Computer Science and Software Engineering, East China Normal University.

  • 09.2012 ~ 07. 2016, B.E., School of Information Engineering, Yan Cheng Normal University.

Awards

  • Jun. 2024, Service Contribution Award (School Level)

  • Jun. 2023, Outstanding Communist Party Member (School Level)

  • Oct. 2021, Doctoral Student Research and Innovation Fund (School Level)

  • May. 2019, Outstanding Graduate, Shanghai (Province Level)

  • Oct. 2018, National Scholarship, East China Normal University (National Level)

  • Sep. 2017, Third Prize of the 14th Chinese Postgraduate Mathematical Modeling Competition "Huawei Cup" (National Level)

  • May. 2014, Special Prize of Chinese College Students Computer Design Competition in Jiangsu Zone. (Province Level)

  • Jul. 2014, Second Prize of Chinese College Students Computer Design Competition (National Level)

  • Aug. 2014, Third Prize of Chinese College Students Service Outsourcing Innovation and Entrepreneurship Competition (National Level)

Work experience

  1. Postdoctoral, Naval Medical University (Second Military Medical University), 09.2025- Present

  2. Lecturer, Naval Medical University (Second Military Medical University), 07.2024- Present

  3. Software Engineer, Ping An Insurance (Group) Company of China, Ltd., 03.2019-07.2020

  4. Intern, Hasco vision technology (Shanghai) co. in SAIC (Group) , 03.2018-07.2018