Portrait of Junyi Shen
Photo in Osaka

Junyi Shen (沈ιͺδΈ€)

Hey, I'm Junyi Shen, a second-year PhD student at the School of Computing, National University of Singapore, advised by Prof. Yao Lu in the Scalable AI Lab. I received my B.E. degree from Zhejiang University with honors from Chu Kochen Honors College.

My research lies in Machine Learning Systems, AI Infrastructure, and Broad AI. Outside academia, I enjoy anime, manga, video games, travel, and photography.

Recent News

Education

National University of Singapore logo National University of Singapore, Singapore
Ph.D. in Computer Science, 2024 – Present
President Graduate Fellowship (PGF)
Advisor: Yao Lu
GPA: 4.9/5.0
Selected Courses
  • CS5239: Computer System Performance Analysis
  • CS6206: Advanced Topics in Human-Computer Interaction
  • CS6216: Advanced Topics in Machine Learning
  • CS6222: Advanced Topics in Computational Biology
  • CS6223: Advanced Topics in Software Testing
  • CS6240: Multimedia Analysis
Zhejiang University logo Zhejiang University, Hangzhou, China
Bachelor of Engineering in Automation, 2020 – 2024
Minor in Intensive Training Program of Innovation and Entrepreneurship, Chu Kochen Honors College
National Scholarship
Advisor: Shibo He
GPA: 3.98/4.00

Publications

Halo illustration

Halo: Batch Query Processing and Optimization for Agentic Workflows

Junyi Shen, Noppanat Wadlom, Yao Lu

arXiv (submitted)

A system that brings batch query processing and optimization into agentic LLM workflows.

SpecBranch illustration

SpecBranch: Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

Yuhao Shen*, Junyi Shen*, Quan Kong, Tianyu Liu, Yao Lu, Cong Wang

arXiv (submitted)

A comprehensive pipeline to accelerate speculative decoding via a hybrid parallelism method.

Profession

Shanghai Qi Zhi Institute logo Research Intern, Shanghai Qi Zhi Institute
Nov. 2023 – May. 2024
Advisor: Huanchen Zhang, Yao Lu
Shanghai, China
The University of Hong Kong logo Student Research Assistant, The University of Hong Kong
July. 2023 – Aug. 2023
Advisor: Hengshuang Zhao
Hong Kong SAR, China

Teaching

Teaching Assistant, NUS
CS6216: Advanced Topics in Machine Learning, 2025–2026 SEM1