招募研究生：常年招收网安、计算机、通信、自动化等方向硕士生、博士生、以及学有余力的本科实习生，欢迎加入。

研究方向：边缘/云计算，分布式机器学习，移动网络安全等。

李鹏，西安交通大学网络空间安全学院教授，博导，国家级青年人才，西安交大青年拔尖 A 类人才。长期专注于边缘智能计算和通信以及相关安全方面的研究，已发表相关期刊和会议论文150余篇，其中包括IEEE JSAC，IEEE TPDS，IEEE TC，IEEE INFOCOM，ACM SIGMOD等IEEE顶级期刊/CCF A类论文70余篇。申请人近年来获得10余项权威国际奖项，包括以唯一通讯作者获得IEEE Transactions on Computers 2020年度最佳论文奖，IEEE通信协会大数据技术委员会（Big Data Technical Committee）2019年度最佳论文奖。主持国家自然科学基金面上项目。

Selected Publications

An Adaptive and Interpretable Congestion Control Service Based on Multi-Objective Reinforcement Learning

IEEE Transactions on Services Computing

Jiacheng Liu, Xu Li, Feilong Tang, Peng Li, Long Chen, J. Yu, Y. Zhu, P. Heng, and L. T. Yang

SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models

IEEE INFOCOM 2025 

Fahao Chen, Peng Li, Tom H. Luan, Zhou Su, and Jing Deng

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management

IEEE INFOCOM 2025

Qianli Liu, Zicong Hong, Peng Li, Fahao Chen, and Song Guo

Tomtit: Hierarchical Federated Fine-Tuning of Giant Models based on Autonomous Synchronization

IEEE INFOCOM 2024 

T. Qi, Y. Zhan, P. Li and Y. Xia

Value of Information: A Comprehensive Metric for Client Selection in Federated Edge Learning

IEEE Transactions on Computers 

Y. Zou, S. Shen, M. Xiao, P. Li, D. Yu and X. Cheng

DGC: Training Dynamic Graphs with Spatio-temporal Non-uniformity using Graph Partitioning by Chunks

ACM SIGMOD 2024

F Chen, P Li, C Wu

Efficient Inference of Graph Neural Networks using Local Sensitive Hash

IEEE Transactions on Sustainable Computing

T. Liu, P. Li, Z. Su, and M. Dong

Adaptive Offloading of Transformer Inference for Weak Edge Devices with Masked Autoencoders

ACM Transactions on Sensor Networks

T Liu, P Li, Y Gu, P Liu, H Wang

Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning

IEEE ICDCS 2023 

T Qi, Y Zhan, P Li, J Guo, Y Xia

A full list can be found at: DBLP