
姓名:任炬
职称:长聘副教授(博士生导师)
邮件:renju@tsinghua.edu.cn
个人主页:https://juren1987.github.io
教育背景
工学学士 (计算机科学与技术), 中南大学, 中国, 2009;
工学硕士 (计算机科学与技术), 中南大学, 中国, 2012;
工学博士 (计算机科学与技术), 中南大学, 中国, 2016.
研究领域
物联网,边缘计算,边缘智能,隐私计算
研究概况
长期从事物联网与边缘智能计算等领域研究。在物联网领域,关注无线感知、超表面通信增强等研究方向;在边缘智能领域,关注端侧智能计算加速、协作智能、分布式智能、边缘智能安全与隐私保护等研究方向。上述方向上的研究成果已发表于ACM/IEEE ToN, JSAC, TMC等国际期刊及ACM MobiCom, MobiSys, SenSys, Ubicomp, CCS, NDSS, IEEE INFOCOM等国际会议上发表论文100余篇,并出版教材(专著)4部。主持国家自然科学基金重点、专项重点、优青,国家重点研发计划课题等国家级项目10余项。现担任IEEE/ACM Trans. Networking,IEEE Trans. Mobile Computing,IEEE Trans. Vehicular Technology,IEEE Trans. Cloud Computing等期刊编委,Chinese Journal of Electronics期刊领域主编。连续多年入选科睿唯安全球高被引科学家。作为第一完成人的项目成果“算力下沉的端边协同计算理论与方法”荣获2023年度中国电子学会自然科学一等奖,项目成果“异构自适应的边缘协同智能计算技术与应用”入选2022-2023年度中国物联网十大科技进展。
奖励与荣誉
曾获得国家优秀青年基金、湖南省杰出青年基金,入选中国科协第四届青年人才托举工程、湖南省湖湘青年英才计划。主要获奖及荣誉如下:
中国电子学会自然科学一等奖 (排1,2024)
中国电子学会青年科学家奖 (首届,2024)
IEEE UIC 2024国际会议最佳论文奖 (2024)
IEEE TCSC Middle Career Researcher Award (2024)
中国物联网十大科技进展 (排1,2023)
达摩院青橙奖 (2022)
IEEE ComSoc Asia-Pacific Best Young Researcher Award (2021)
教育部-华为智能基座突出贡献奖 (2021)
国家自然科学基金优秀青年科学基金 (2021)
湖南省自然科学基金杰出青年基金 (2020)
IEEE TCSC Early Career Researcher Award (2019)
IEEE HPCC 2019国际会议杰出论文奖 (2019)
IEEE ICC 2019国际会议最佳论文奖 (2019)
中国通信学会优秀博士学位论文奖 (2017)
湖南省优秀博士学位论文奖 (2017)
学术成果
Wireless Sensing and Communication
[1] X. Li, G. Zhao, L. Chen, X. Zhang and J. Ren. “RFMagus: Programming the Radio Environment With Networked Metasurfaces,” ACM MobiCom, Washington, D.C., USA, Sept. 30 - Oct. 4, 2024.
[2] L. Chen, B. Yu, Y. Fu, J. Ren, H. Pan, J. Gummeson and Y. Zhang. “Pushing Wireless Charging from Station to Travel,” ACM MobiCom, Washington, D.C., USA, Sept. 30 - Oct. 4, 2024.
[3] L. Chen, B. Yu, J. Ren, J. Gummeson and Y. Zhang. “Towards Seamless Wireless Link Connection,” ACM MobiSys, June 18-22, Helsinki, Finland, 2023.
[4] S. Wang, L. Zhong, Y. Fu, L. Chen, J. Ren and Y. Zhang. “UFace: Your Smartphone Can Hear Your Facial Expression!,” ACM IMWUT/Ubicomp, vol. 8, no. 1, Article No. 22, pp. 1–27, 2024.
Edge Computing and Edge Intelligence
[5] T. Wang, K. Li, Z. Hao, D. Bai, J. Ren, Y. Zhang, T. Cao and M. Yang. “Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity,” SC, Atlanta, GA, USA, Nov. 17-22, 2024.
[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.
[7] Y. Deng, W. Chen, J. Ren, F. Lyu, Y. Liu, Y. Liu and Y. Zhang. “TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity,” ACM SenSys, Boston, United States, Nov. 6-9, 2022.
[8] Z. Fu, J. Ren, Y. Liu, T. Cao, D. Zhang, Y. Zhou and Y. Zhang. “Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL,” ACM SenSys, Boston, United States, Nov. 6-9, 2022.
[9] J. Zhang, H. Yang, J. Ren, D. Zhang, B. He, T. Cao, Y. Li, Y. Zhang and Y. Liu. “MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras,” ACM MobiCom, Sydney, Australia, Oct. 17–21, 2022.
Security and Privacy Preservation
[10] 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.
[11] C. Jiang, J. Yang, X. Li, Q. Li, X. Zhang and J. Ren. “RISiren: Wireless Sensing System Attacks via Metasurface,” ACM CCS, Salt Lake City, USA, Oct. 14-18, 2024.
[12] 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.