Li CHEN - 陈 力

Associate Researcher, Beijing Zhongguancun Laboratory

Looking for new Ph.D students. Drop me an email and let's talk.

• [2024-03-19] Attended SAVNET WG meeting and SidrOps WG meeting in Brisbane and presented SiSPI object for RPKI in IETF 119.
• [2023-12-08] Klonet is accepted to NSDI 2024.
• [2023-11-07] Attended SAVNET WG meeting in Prague and presented SAVOP in IETF 118.
• [2023-09-30] dRR and our measurement study on ROV deployment are accepted to NDSS 2024.
• [2023-09-27] Attended Huawei STW 2023 and presented DONS.
• [2023-09-15] Presented our work on LLM for NetOps in CCF ChinaNet 2023.
• [2023-07-06] Looking for my first batch of Ph.D students!
• [2023-05-18] DONS is accepted to SIGCOMM 2023.
• [2023-04-06] Primus published in IEEE ToN.
• [2023-03-29] Attended SAVNET WG meeting remotely and presented SAVOP in IETF 116 .
...

• [SIGCOMM] Gao, Kaihui, Li Chen, Dan Li, Vincent Liu, Xizheng Wang, Ran Zhang, and Lu Lu. "DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization." In Proceedings of the ACM SIGCOMM 2023 Conference, pp. 167-181. 2023.
• [SIGCOMM] Chen, Huangxun, Yukai Miao, Li Chen, Haifeng Sun, Hong Xu, Libin Liu, Gong Zhang, and Wei Wang. "Software-defined Network Assimilation: Bridging the Last Mile Towards Centralized Network Configuration Management with NAssim." In Proceedings of the ACM SIGCOMM 2022 Conference, pp. 281-297. 2022.
• [SIGCOMM] Yang, Qingqing, Xi Peng, Li Chen, Libin Liu, Jingze Zhang, Hong Xu, Baochun Li, and Gong Zhang. "DeepQueueNet: Towards Scalable and Generalized Network Performance Estimation with Packet-level Visibility." In Proceedings of the ACM SIGCOMM 2022 Conference, pp. 441-457. 2022.
• [NSDI] Zhao, Yikai, Kaicheng Yang, Zirui Liu, Tong Yang, Li Chen, Shiyi Liu, Naiqian Zheng et al. "LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets." In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pp. 991-1010. 2021.
• [SIGCOMM] Chen, Li, Justinas Lingys, Kai Chen, and Feng Liu. "AuTO: Scaling Deep Reinforcement Learning for Datacenter-Scale Automatic Traffic Optimization." In Proceedings of the 2018 conference of the ACM special interest group on data communication, pp. 191-205. 2018.
... View the full list here [bib], or refer to my Google Scholar page, which I keep updated.