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