Hi, there! My name is Charles(Xiaochang) Li. I am currently a (2022-x)-year Computer Science Ph.D. student at William&Mary. I am fortunately advised by Prof. Huajie Shao. Prior to the Ph.D. journey, I received my M.S. degree of Data Science from East China Normal University fortunately advised by Prof. Xuesong Lu and Prof. Qiwen Dong, focusing on Natural Language Processing and Data Mining.
Currently, my research interest focuses on Network Foundation Model and Large Language Model(LLM). My goal is to design practical Network Foundation Models to solve network traffic analysis problems.
Recently, we worked on both network traffic classification(understanding) tasks and generation tasks (Check our paper LENS) Besides, we have organized a network traffic benchmark and has been released!
!!! I am open to various forms of research collaboration. I am open to any questions and discussions on ML, NLP and LLM. Feel free to leave any comments or send me an email! Looking forward to hear from you!
I enjoy watching good movies, and listening to music during my spare time. Besides, I like sports, including playing basketball, weight lifting, skiing and so on.
Personal News
- [Mar, 2024] Excited to share that our workshop paper [NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models] has been accepted by FMSys Workshop 2024!
- [Mar, 2024] Excited to share our network foundation models at DMV Security Workshop 2024. Thank you for the organizer and all attendees!
- [Jan, 2024] Thrilled to share that I am qualified to be a Ph.d. candidate at William&Mary!
Publication
(“*” indicates equal contribution)
Conference Papers
- Chen Qian*, Xiaochang Li*, Qineng Wang, Gang Zhou, Huajie Shao., NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models FMSys 2024 [paper]
- Qineng Wang, Chen Qian, Xiaochang Li, Ziyu Yao, Huajie Shao., Lens: A Foundation Model for Network Traffic in Cybersecurity arxiv. [paper]
- Xiaochang Li, Bei Chen, Xuesong Lu., Discovering Traveling Companions using Autoencoders arxiv. [paper]
Service
- Conference Reviewer: KDD 2024
- Workshop Reviewer: SeT LLM @ ICLR 2024