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

My research interests mainly lie in efficient inference for LLMs. I am working on speculative decoding, a promising technique for accelerating LLM inference, and I am open to collaborations on related inference topics.

I expect to graduate in 2027 and am currently seeking job opportunities in efficient LLM inference and AI systems. Please feel free to contact me by Email.

🔥 News

2026.04Double is accepted to ACL 2026 main conference as an oral presentation, and LogitSpec is accepted to ACL 2026 Findings!
2026.01SpecBranch is accepted to ICLR 2026!
2026.01Released four preprints: TALON, KALE, Double, and HIPPO!
2025.10Released nano-PEARL, an engineering follow-up to PEARL with multi-GPU draft-target disaggregation.
2025.07Preprint LogitSpec to Arxiv, a training-free retrieval-based speculative decoding method!
2025.01PEARL is accepted to ICLR 2025!
2025.01One paper accepted to NAACL 2025. Thanks for the carry of Qitan!
2023.09REST is accepted to NeurIPS 2023!

📝 Selected Publications

^†: corresponding author; ^*: equal contribution

ICLR 2025

Featured 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]

🚀 Introduce nano-PEARL: a Draft-Target Disaggregation LLM Serving System via Parallel Speculative Decoding!

Preprint

TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees

Tianyu Liu^*, Qitan Lv^*, Yuhao Shen, Xiao Sun^†, Xiaoyan Sun

[Paper]

ACL 2026 Findings

LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation

Tianyu Liu^*, Qitan Lv^*, Hao Li, Xing Gao, Xiao Sun^†, Xiaoyan Sun

[Paper] [Code]

NeurIPS 2023

Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction

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

[Paper] [Code]

🗂 Other Publications

arXiv 2025 HIPPO: Accelerating Video Large Language Models Inference via Holistic-aware Parallel Speculative Decoding

Qitan Lv^*, Tianyu Liu^*, Wen Wu, Xuenan Xu, Bowen Zhou, Feng Wu, Chao Zhang

[Paper]

arXiv 2025 KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning

Qitan Lv^*, Tianyu Liu^*, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu

[Paper]

ACL 2026 Main (Oral) Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism

Yuhao Shen, Tianyu Liu, Junyi Shen, Jinyang Wu, Quan Kong, Li Huan, Cong Wang

[Paper]

ICLR 2026 Speculative Decoding via Hybrid Drafting and Rollback-Aware Branch Parallelism

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

[Paper]

NAACL 2025 Exploiting Edited Large Language Models as General Scientific Optimizers

Qitan Lv^*, Tianyu Liu^*, Hong Wang^†

[Paper]

📖 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 Computer Science and Technology, Central University of Finance and Economics.

🖥️ Professional Services

Conference reviewer for ICLR'25, ICLR'26, WWW'25, NeurIPS'25.