Li Chen's Professional Profile

Li CHEN - 陈力

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

[2024-09-04] Looking for new Ph.D students!
[2024-08-12] ProphetFuzz is accepted to CCS 2024 with minor revision.
[2024-08-08] Attended SIGCOMM 2024 in Sydney and chaired the session on scheduling data transfer.
[2024-07-24] Our joint work with Alibaba, a simulator for LLM training, is accepted to NSDI 2025.
[2024-07-24] Attended SAVNET WG meeting online and presented SiSPI object for RPKI in IETF 120.
[2024-05-05] Our work on multi-agent RL, RedTE, is accepted to SIGCOMM 2024.

Previously...

[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.
[2023-02-06] GIFT published in IEEE JSAC.
[2023-02-03] APF published in IEEE TPDS.
[2023-01-03] Promoted to Associate Researcher at Zhongguancun Laboratory.
[2022-12-02] Elected to CCF TCI Executive Commitee.
[2022-09-06] Focused Garbage Collection is accepted to ICCD 2022.
[2022-08-06] Best Paper Award of SIGCOMM 2022 for NAssim!
[2022-07-19] CRONUS is accepted to MICRO 2022.
[2022-06-01] I joined Zhongguancun Laboratory.
[2022-05-06] DeepQueueNet is accepted to SIGCOMM 2022.
[2022-05-06] NAssim is accepted to SIGCOMM 2022.
[2022-04-30] SOTER is accepted to ATC 2022.
[2021-11-14] NASPipe is accepted to ASPLOS 2022!
[2021-10-01] New site is online.

Selected Recent Publications

[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.

2024,2025	SIGCOMM	TPC
2023,2025	ICDCS	TPC
2025	APNet	TPC
2024	SIGCOMM	Session Chair
2021	APSys-Winter	TPC
2021	Huawei Queueing Theory Workshop	Organizer
2018	Tencent-Barefoot P4 Day	Organizer
2017	APNet	Web Chair
-	CCF TCI	EC Member
-	IEEE/ACM ToN	Reviewer
-	ACM ToPC	Reviewer
-	Elsevier ComNet	Reviewer

Students

2023	Rundi Zhai	(Cosupervised with Prof. Baojiang Cui @BUPT)
2023	Ni Jin	(Cosupervised with Prof. Baojiang Cui @BUPT)
2024	Yang Zhang	(Cosupervised with Prof. Baojiang Cui @BUPT)

Professional Experience

Jun 2022	➯	Now	Associate Researcher, Zhongguancun Laboratory
Jan 2020	➯	May 2022	Systems Researcher, Huawei Hong Kong Research Center
Jul 2018	➯	Dec 2019	Senior Engineer, Network Platform Division, TEG, Tencent
Oct 2017	➯	Now	Certified Instructor, NVIDIA Deep Learning Institute
Sep 2011	➯	Jul 2018	Teaching Assistant, HKUST

Education

2018	Ph.D. in Computer Science and Engineering	HKUST
2013	M.Phil. in Electronic and Computer Engineering	HKUST
2011	B.Eng. in Electronic and Computer Engineering	HKUST
	(with First Class Honors and Minor in Mathematics)
2009	Exchange student in College of Engineering	University of Michigan

Awards and Honors

2023	AI 2000 Most Influential Scholar Award Honorable Mention in Computer Networking
2022	SIGCOMM Best Paper Award
2016	Microsoft Research Asia Ph.D. Fellowship
2010	The Commercial Radio 50th Anniversary Scholarships
2010	Meritorious Winner of Mathematical Competition of Modeling
2007-2011	HKUST Scholarship for Continuing UG Students