Scholar
Jingyu Xiao
Google Scholar ID: LOWkl9oAAAAJ
Tsinghua University
Citations & Impact
Citations
183
H-index
9
i10-index
9
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted for publication in conferences or journals such as AIWare 2025, EMNLP 2025, ASE 2025, IEEE Internet of Things Magazine, SIGKDD 2025, ACL 2025, Computer Networks 2024, SIGKDD 2024, IEEE/ACM Transactions on Networking, IMWUT/UbiComp 2023, AAMAS 2023, SIGMOD 2023, CoNEXT 2022, IPCCC 2021, NSDI 2022; received multiple awards including the first prize of the 9th SIGS Professional Practice, selected for the 2023 Tencent Rhino-Bird Elite Talent Program, and AAMAS student scholarship.
Research Experience
- Research Intern at Tsinghua University SIG Group, focusing on Network Failure Localization Based on Programmable Data Plane; Research Intern at Tencent TEG Network Platform Department, mentored by Congcong Miao, working on Data-driven Intelligent Open Optical Network Research; Research Intern at Pengcheng Laboratory, Department of Mathematical Theory, working on Application of Graph Neural Networks in Intelligent Network Systems and Smart Homes; Research Intern at Tencent IEG Public Data Platform Department, working on Game Match, Game Large Language Model.
Education
- PhD at The Chinese University of Hong Kong, supervised by Prof. Michael R.Lyu (IEEE/ACM/AAAS Fellow), supported by Hong Kong PhD Fellowship (HKPFS); MS at Tsinghua University, supervised by Prof. Yong Jiang and Prof. Qing Li, with Outstanding Graduate Award; BS at Wuhan University.
Background
- Research interests include: 1. Large Language Models: Code Intelligence, AI Safety. 2. Data Mining: User Behavior Modeling, Anomaly Detection, Recommendation and Graph Mining. 3. Computer Networks: Network Failure Localization, Network Function Virtualization and Programmable Switches.
Miscellany
- Created and maintains the Awesome-Multimodal-LLM-for-Code repository, promoting code generation research under multi-modal scenarios; also maintains the WebPAI project, aiming to build an AI platform for more reliable and practical automated webpage generation.
