MAIN RESEARCH

I worked on networked systems. My research interest is the Next-Generation Internet Architecture, including high-performance datacenter networks, deterministic low-latency wide-area networks, and minimalist wireless networks. Currently, my research mainly focuses on:

AI4Networking: Applying the state-of-the-art big data and machine learning technologies to improve performance of networked systems (token delivery network (TDN), cross-region data management, data domain networking, etc.).

Networking4LLM: Optimizing the communication efficiency and communication ability in the distributed training and inference process of large language models (LLMs), eliminating the communication bottleneck, and improving the FLOPs utilization.

QUIC4Video: Re-architecting QUIC for real-time audio/video transmission for a better user experience.

QUIC4DB: Re-architecting QUIC to enable high-performance geo-distributed database.

PROJECT

National Natural Science Foundation of China (NSFC Projects No. 62572473 (2026-2029), No.62441230 (2025-2027), No.62272466 (2023-2026), No.62202473 (2023-2025)).

A number of foundation projects from enterprises (e.g., Huawei, Tencent, ByteDance, Ant, etc.) and research institutes (e.g., Tsinghua).

PUBLICATION

Selected Representative Publications （Full paper list please refer to http://iir.ruc.edu.cn/~litong/）

Mu Wang, Yiying Lin, Enhuan Dong, Shenghui Wei, Kang Chen, Tong Li, Yinchao Zhang, Renjie Xie, Su Yao, Ke Xu, Changqiao Xu. Forewarned is Forearmed: A Responsive Congestion Control with Non-intrusive Uplink Dynamics Capture. ACM SIGCOMM 2026.

Yinchao Zhang, Su Yao, Yong Feng, Kang Chen, Tong Li, Zhuotao Liu, Yi Zhao, Lexuan Zhang, Xiangyu Gao, Feng Xiong, Qi Li, Ke Xu. Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane. ACM SIGCOMM 2025.

Tong Li, Kai Zheng, Ke Xu, Rahul Arvind Jadhav, Tao Xiong, Keith Winstein, Kun Tan. TACK: Improving Wireless Transport Performance by Taming Acknowledgments. ACM SIGCOMM 2020.

Li Li, Ke Xu, Tong Li, Kai Zheng, Chunyi Peng, Dan Wang, Xiangxiang Wang, Meng Shen, Rashid Mijumbi. A Measurement Study on Multi-path TCP with Multiple Cellular Carriers on High-speed Rails. ACM SIGCOMM 2018.

Xiangyu Gao, Tong Li, Yinchao Zhang, Ziqiang Wang, Xiangsheng Zeng, Su Yao, Ke Xu. FENIX: Enabling In-Network DNN Inference with FPGA-Enhanced Programmable Switches. USENIX NSDI 2026.

Xinle Du, Tong Li*, Guangmeng Zhou, Zhuotao Liu, Hanlin Huang, Xiangyu Gao, Mowei Wang, Kun Tan, Ke Xu. PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters. USENIX NSDI 2025.

Duling Xu, Tong Li*, Zegang Sun, Zheng Chen, Weixing Zhou, Yanfeng Zhang, Wei Lu, Xiaoyong Du. Performant Synchronization in Geo-Distributed Databases. ACM SIGMOD 2026.

Guangmeng Zhou, Xiongwen Guo, Zhuotao Liu, Tong Li, Qi Li, Ke Xu. TrafficFormer: An Efficient Pre-trained Model for Traffic Data. IEEE S&P 2025.

Tong Li, Xinle Du, Xiangyu Gao, Guangmeng Zhou, Hanlin Huang, Zhuotao Liu, Mowei Wang, Kun Tan, Ke Xu. Revisiting Random Early Detection Tuning for High-Performance Datacenter Networks. IEEE/ACM Transactions on Networking (TON), 2025.

Tong Li, Wei Liu, Xinyu Ma, Shuaipeng Zhu, Jingkun Cao, Duling Xu, Zhaoqi Yang, Senzhen Liu, Taotao Zhang, Yinfeng Zhu, Bo Wu, Kezhi Wang, Ke Xu. Accelerating Loss Recovery for Content Delivery Network. IEEE Transactions on Computers (TC), 2025.

Tong Li, Yukuan Ding, Jiaxin Liang, Kai Zheng, Xu Zhang, Tian Pan, Dan Wang, Ke Xu. Toward Optimal Broadcast Mode in Offline Finding Network. IEEE Transactions on Mobile Computing (TMC), 2025.

Duling Xu, Dafang Zhang, Tong Li*, Yunpeng Chai, Zegang Sun, Weiming Li, Yangfan Liu, Qipeng Wang, Jiaqi Liang, Yang Ren, Wei Lu, Xiaoyong Du. GeoLM: Performance-oriented Leader Management for Geo-Distributed Consensus Protocol. IEEE INFOCOM 2025.

Bo Wu, Tong Li*, Cheng Luo, Xu Yan, Fuyu Wang, Xinle Du, Ke Xu. Toward Timeliness-Enhanced Loss Recovery for Large-Scale Live Streaming. ACM Multimedia (MM) 2024.

Tong Li, Jiaxin Liang, Yukuan Ding, Kai Zheng, Xu Zhang, Ke Xu. On Design and Performance of Offline Finding Network. IEEE INFOCOM 2023.

Tong Li, Kai Zheng, Ke Xu, Rahul Arvind Jadhav, Tao Xiong, Keith Winstein, Kun Tan. Revisiting Acknowledgment Mechanism for Transport Control: Modeling, Analysis, and Implementation. IEEE/ACM Transactions on Networking (TON), 2021.

WORKING EXPERIENCE

2022.08 – present

Associate Professor, School of Information / Key Laboratory of Data Engineering and Knowledge Engineering, Renmin University of China

2022.01 – 2022.07

Lecturer, School of Information / Key Laboratory of Data Engineering and Knowledge Engineering, Renmin University of China

2017.07 – 2021.12

Chief Engineer, Computer Network and Protocol Laboratory, Huawei Technologies Co., Ltd.

2016.02 – 2016.08

Research Intern, School of Computer Science and Electronic Engineering, University of Essex, UK

RESEARCH RESULTS AND THE AWARD

2025, Excellent Individual in Recruitment, Renmin University of China

2025, CCF ChinaNet Outstanding Paper Award

2024, ACM SIGCOMM China Rising Star Award

2022, Ministry of Education-Huawei "Intelligent Base" Pioneer Teacher Award

2022, Distinguished Scholar, Renmin University of China

2021, Huawei Top Ten Inventions Award

2020, Huawei Outstanding Patent Inventor

2017, Outstanding Graduate, Department of Computer Science and Technology, Tsinghua University

2012, Excellent Graduation Thesis of Hubei Province