Ju Ren
Associate Professor
E-mail：renju@tsinghua.edu.cn
Homepage：https://juren1987.github.io
BRIEF BIOGRAPHY
I am currently an associate professor with the Department of Computer Science and Technology, Tsinghua University, Beijing, China. My research interests include end intelligence, edge intelligence, distributed and embedded AI, as well as LLM security and privacy. I am a senior member of the IEEE and a member of the ACM. I was recognized as a highly cited researcher by Clarivate in 2020-2022.
I am looking for self-motivated Ph.D. students who are interested in my research areas. Please feel free to contact me, if you want to join my group.
REPRESENTATIVE PUBLICATIONS
End Intelligence & Edge Intelligence：
[1] T. Wang, R. Fan, M. Huang, Z. Hao, K. Li, T. Cao, Y. Lu, Y. Zhang and J. Ren. “Neuralink: Fast on-Device LLM Inference with Neuron Co-Activation Linking," ASPLOS, Rotterdam, The Netherlands, Mar. 30 - Apr. 3, 2025.
[2] T. Wang, X. Chen, K. Li, T. Cao, J. Ren and Y. Zhang. “Jenga: Enhancing Long-Context Fine-tuning of LLMs with Contextual Token Sparsity," USENIX ATC, BOSTON, MA, US, July 7-9, 2025.
[3] Z. Hao, J. Wei, T. Wang, M. Huang, H. Jiang, S. Jiang, T. Cao and J. Ren. “Scaling LLM Test-time Compute with Mobile NPU on Smartphones,” EuroSys, Edinburgh, UK, April 27-30, 2026.
[4] J. Lu, J. Li, Y. Zhang and J. Ren. “Bridging Storage and Execution: A Semantic Virtual Bus for On-Demand Application Streaming,” USENIX NSDI, RENTON, WA, USA, May 4-6, 2026.
[5] Y. Zhao, Y. Fu, Z. Feng, H. Pan, Y. Deng, Y. Zhang and J. Ren. “MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation,” ACM MobiCom, Austin, Texas, Oct. 26-30, 2026.
[6] F. Jia, S. Jiang, T. Cao, W. Cui, T. Xia, X. Cao, Y. Li, Q. Wang, D. Zhang, J. Ren, Y. Liu, L. Qiu and M. Yang. “Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization,” ACM MobiSys, Tokyo, Japan, June 3-7, 2024.
LLM Security & Privacy
[7] Q. Li, Y. Zhang, J. Ren, Q. Li and Y. Zhang. “You Can Use But Cannot Recognize: Preserving Visual Privacy in Deep Neural Networks,” NDSS, Feb. 26 - Mar. 1, San Diego, California, 2024.
[8] Y. Zhang, Y. Song, M. Li, Q. Li, Q. Li and J. Ren. “PeriNet: Periodic Deep Learning Framework for Modality-Agnostic Privacy Preserving,” WWW, Dubai, UAE, Apr. 13-17, 2026.
[9] Q. Li, J. Ren, Y. Zhang, C. Song, Y. Liao and Y. Zhang. “Privacy-Preserving DNN Training with Prefetched Meta-Keys on Heterogeneous Neural Network Accelerators,” DAC, San Francisco, July 9-13, 2023.
[10] Y. Deng, N. He, X. Li, F. Wu, Y. Zhang and J. Ren. “Cross-Modal Federated Learning Among Unimodal Devices,” ACM IMWUT/Ubicomp, vol. 9, no. 3, article no. 78, 2025.
HONORS & AWARDS
Best Paper Award of IEEE UIC’24, 2024
Middle Career Researcher Award by IEEE Technical Committee on Scalable Computing, 2024
Best Young Researcher Award by IEEE ComSoc Asia-Pacific Region, 2021
Early Career Researcher Award by IEEE Technical Committee on Scalable Computing, 2019
Best Paper Award of IEEE ICC'19, 2019
Outstanding Paper Award of IEEE HPCC'19, 2019
Best Paper Award of IEEE IoP'18, 2018
PROFESSIONAL ACTIVITIES
Journal Editors
• Area Editor, Chinese Journal of Electronics, 2024 - present
• Associate Editor, IEEE/ACM Transactions on Networking, 2024 - present
• Associate Editor, IEEE Transactions on Mobile Computing, 2023 - present
• Associate Editor, IEEE Transactions on Cloud Computing, 2022 - present
• Editor, 电子学报, 2022 - present
• Associate Editor, IEEE Transactions on Vehicular Technology, 2018 - present
• Associate Editor, Peer-to-Peer Networking and Applications, 2017 - present
Conference Services
• Track Co-Chair of IEEE ICDCS 2024
• Symposium Co-Chair of IEEE ICCC 2023
• Publicity Co-Chair of IEEE ICDCS 2022
• General Co-Chair of IEEE BigDataSE 2020
• TPC Co-Chair of IEEE BigDataSE 2019
• Track Co-Chair of IEEE ICCC 2019
• Track Co-Chair of I-SPAN 2018
• Poster Co-Chair of IEEE MASS 2018
• Track Co-Chair of IEEE VTC 2017-Fall
• Special Session Co-Chair of IEEE VCIP 2018
