Fuliang Liu

Fuliang Liu

Ph.D. Candidate @ Nanjing University

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About Me

I am a Ph.D. candidate in the School of Computer Science at Nanjing University. My research focuses on building efficient systems for Large Language Models.

Education

Nanjing University

Nanjing University

2025.09 – Present

Ph.D. in Computer Science

School of Computer Science

Advised by Prof. Chen Tian and Prof. Zhibin Wang

Harbin Institute of Technology

Harbin Institute of Technology

2021.09 – 2025.06

B.S. in Computer Science

School of Future Technology

Experience

Alibaba Tongyi Lab

Alibaba Tongyi Lab

2026.01 – Present

Research Intern

LLM Inference Optimization, Scheduling Optimization

Alibaba Cloud

Alibaba Cloud

2024.11 – 2025.04

Research Intern

Network Innovation Engineering, Multi-Agent Diagnosis

Research

Speculative Decoding for LLMs

Developing novel approaches to accelerate large language model inference through speculative decoding. By leveraging diffusion-inspired methods, we can generate multiple tokens simultaneously while maintaining output quality, achieving significant speedups in real-world serving scenarios.

LLM Serving Systems

Building efficient systems for serving large language models at scale, focusing on optimizing throughput and latency through system-level innovations in scheduling, memory management, and parallelism strategies.

Publications

DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference

Fuliang Liu, Xue Li, Ketai Zhao, Yinxi Gao, Ziyan Zhou, Zhonghui Zhang, Zhibin Wang, Wanchun Dou, Sheng Zhong, Chen Tian

arXiv, January 2026

Get in Touch

Feel free to reach out for research collaborations or just to say hi.