Hi there! I am Tianyu Liu, a third-year joint Ph.D. student at USTC and Shanghai AI Laboratory, supervised by Sun Xiao.

My research interest mainly lie in efficient inference for LLM. I’m currently working on speculative decoding, a promising technique for acclerating LLM inference. I’m looking to collaborate on relative topics, mainly about inference techniques.

🔥 News

• 2025.01:   PEARL is accepted to ICLR 2025!
• 2025.01:   One paper accepted to NAACL 2025. Thanks for the carry of Qitan!
• 2023.09:   REST is accepted to NeurIPS 2023!

📝 Publications

†: corresponding author; *:equal contribution

ICLR 2025

PEARL: Parallel Speculative Decoding with Adaptive Draft Length

Tianyu Liu, Yun Li^†, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun^†

[Paper]  [Project]  [Code] 

NAACL 2025

Exploiting Edited Large Language Models as General Scientific Optimizers

Qitan Lv^*, Tianyu Liu^*, Hong Wang^†

[Paper] 

NeurIPS 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

Tianyu Liu, Qitan Lv, Jie Wang^†, Shuling Yang, Hanzhu Chen,

[Paper]  [Code] 

📖 Educations

• 2022.09 - Present, Ph.D. in Department of Electronic Engineering and Information Science, University of Science and Technology of China.
• 2018.09 - 2022.06, B.Sc. in Computure Science and Technology, Central University of Finance and Economics.

🖥️ Professional Services

• Conference reviewer for ICLR’25, WWW’25, NeurIPS’25.