CV
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Contact Information
| Name | Tong Xin (辛统) |
| Professional Title | PhD Student |
| xin_tong@sjtu.edu.cn | |
| Location | Shanghai, |
Professional Summary
PhD student at SJTU IPADS Lab. Research interests include MLsys, AI Infrastructure, and Operating Systems.
Experience
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2023 - Present Shanghai, China
Research Intern / PhD Student
IPADS, Shanghai Jiao Tong University
Working on systems for AI and file systems.
- Parer: Boosting EROFS image creation with parallelism (Internetware’24)
- PowerServe: High-performance mobile LLM inference framework (Core Contributor)
Education
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2025 - Present Shanghai, China
PhD
Shanghai Jiao Tong University
Computer Science (IPADS Lab)
- Advisors: Prof. Haibo Chen and Associate Prof. Mingkai Dong
- Research direction: MLsys / AI Infrastructure / Operating Systems
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2021 - 2025 Shanghai, China
Bachelor
Shanghai Jiao Tong University
Information Engineering
- GPA: 88.6 (Rank: 27/122)
- Shanghai Outstanding Graduate (Top 3%)
- 7x University-level scholarships and honors
Awards
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2025 Shanghai Outstanding Graduate
Top 3% of graduates.
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University-level scholarships and honors
Won 7 times during undergraduate study.
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2024 CCSP Silver Medal
CCF
Selected from top CSP scorers to compete in CCSP (CCF Collegiate Computer Systems and Program Design Competition), and won the Silver Medal.
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CCF CSP Certification
Top 1.2% nationwide.
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2017 National Olympiad in Informatics in Provinces (NOIP) First Prize
CCF
Won 4 times consecutively.
Projects
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PowerServe
A high-performance LLM inference framework for mobile devices.
- Core contributor to the inference engine and speculative decoding module.
- Optimized for mobile NPUs (Snapdragon) and Android/HarmonyOS platforms.
Skills
Systems: Operating Systems, Distributed Systems, File Systems, MLsys
Programming: C/C++, Python, Rust, Linux Kernel
Languages
Chinese : Native
English : Fluent