Jinliang Yuan 袁进良

I’m a postdoctor at Tsinghua University, working with Prof. Yunhao Liu. I received my doctoral and bachelor’s degrees from Beijing University of Posts and Telecommunications (BUPT) in 2023 and 2016, co-advised by Prof. Shangguang Wang and Prof. Mengwei Xu. Additionally, I feel fortunate to receive remote guidance from Prof. Yuanchun Li in at Tsinghua University. Here is my Curriculum Vitae.

Email: yuanjinliang AT tsinghua DOT edu DOT cn

News!

• [2024-05] Our paper on mobile foundation model was accepted by MobiCom’24!
• [2024-05] Honored to present one paper at WWW’24!
• [2024-10] Honored to present one paper at ICPADS’24!

  Selected Publications (* = equal contributions)

• [MobiCom’24] Mobile Foundation Model as Firmware [pdf]

  Jinliang Yuan*, Chen Yang*, Dongqi Cai*, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

• [WWW’24] Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs [pdf]

  Jinliang Yuan, Shangguang Wang, Hongyu li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu

• [TMC’24] Communication-Efficient Satellite-Ground Federated Learning through Progressive Weight Quantization [pdf]

  Chen Yang*, Jinliang Yuan*, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu

• [ICPADS’24] Flexible LAN-WAN Orchestration for Communication Efficient Federated Learning over Large-Scale Mobile Devices [pdf]

  Jinliang Yuan, Qing Li, Fan Dang, Xiaofang Mu, Hui Qi, Mengwei Xu, and Shangguang Wang

• [INFOCOM’23] Privacy as a Resource in Differentially Private Federated Learning [pdf]

  Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou, Mengwei Xu

• [ISSRE’23] Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption [pdf]

  Chen Yang, Yuanchun Li, Hao Lu, Jinliang Yuan, Qibo Sun, Shangguang Wang, Mengwei Xu

• [IEEE TBD’22] Resource-Aware Federated Neural Architecture Search over Heterogeneous Mobile Devices [pdf]

  Jinliang Yuan, Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Xuanzhe Liu, and Shangguang Wang

• [MobiSys’22] Melon: Breaking the Memory Wall for Resource-Efficient On-Device Machine Learning [pdf]

  Qipeng Wang*, Mengwei Xu*, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu

Academic Service

• PC member: [NCSC-edge’22]
• Reviewer: [TMC] [IoTJ] [SAGC’22]
• External reviewer: [ICWS’23]

Awards

• CCF TCSC Outstanding Doctoral Dissertation Award, 2024
• IEEE Open Software Services Award, End-to-end Federated Learning Platform [github], 2022, IEEE SERVICES

Materials

• [Awesome-Federated-Learning]
• [Edge-AI-Paper-List]