Shixuan Sun is currently a Tenure-Track Associate Professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University. He is also a member of the EPCC Lab. His research interests are in parallel and distributed computing, machine learning and data-intensive applications.

He received his Ph.D. in Computer Sciences from the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST) in 2020, supervised by Prof. Qiong Luo. Prior to that, he got his M.S and B.S. in Computer Sciences from the School of Software Engineering, Tongji University in 2014 and 2011 respectively. From 2020 to 2023, he worked as a research fellow at the School of Computing, National University of Singapore, supervised by Prof. Bingsheng He. Additionally, he worked as a Software Development Engineer at Microsoft (Shanghai) from 2014 to 2015.

Contact

Email: [sunshixuan] AT [sjtu] DOT [edu] DOT [cn]

News

• 2026.4: InfiniLoRA: Disaggregated Multi-LoRA Serving for Large Language Models was released on arXiv. It is a scalable and efficient disaggregated LoRA serving system developed by Mr. Hongyu Chen and Mr. Letian Ruan. Thanks to our collaborator from ByteDance.

• 2026.3: gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs was accepted to VLDB 2026. Congratulations to Mr. Weitian Chen. Thanks to our collaborator from ByteDance.

• 2026.2: FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services was accepted to SIGMOD 2026. Congratulations to Mr. Yushi Liu, Mr. Yikang Ruan, and Mr. Letian Ruan. Thanks to our collaborator from China Telecom.

• 2026.1: DASH: Deterministic Attention Scheduling for High-Throughput Reproducible LLM Training was accepted to ICLR 2026. Congratulations to Mr. Xinwei Qiang. Thanks to our collaborator from ByteDance.

• 2025.12: We ranked No. 1 worldwide in the Graph Database Performance Contest on the LDBC-SNB benchmark. Congratulations to Mr. Sen Gao. Thanks to Huawei for their strong support.

Open Positions

I’m looking for self-motivated PhD students, master’s students, and research assistants to join my group. If you’re interested in building high-performance, large-scale machine learning and data processing systems through algorithm-system co-design on modern hardware, please email me your CV.

Professional Services

• Web Chair for APSys 2022
• PC Member for VLDB 2027, ICDE 2027, EuroSys 2026, ICDE 2026, SC 2025, VLDB 2025, ICDE 2024, IPDPS 2024, EDBT 2023, CCGrid 2021, HiPC 2021, 2022, 2023
• Invited Reviewer for TODS, VLDBJ, TKDE, ACM Transactions on Storage, ICDCS 2021, ACM Computing Surveys, DMKD

Teaching Experiences

• Lecturer, Shanghai Jiao Tong University CS1501 Programming Concepts and Methods (C++)
• Lecturer, Shanghai Jiao Tong University CS2310 Operating System
• Guest Lecturer, HKUST(GZ) DSAA6000D Graph Processing and Analytics, Accelerating Subgraph Query Processing on a Single Machine (2.5 hours tutorial in Sep 2022) [Slides]
• Teaching Assistant, HKUST COMP5311 Database Architecture and Implementation
• Teaching Assistant, HKUST MSBD5009 Parallel Programming

Honors & Awards

• Outstanding PC Award at ICDE 2025
• The Championship of Alibaba POLARDB High Performance Competition (1/1808) [News][Code][Slides]
• Hong Kong PhD Fellowship Award 2015-2019
• Outstanding Graduate of Shanghai 2011,2014
• China National Scholarship 2009,2013
• Google Excellent Student Scholarship 2010