Jiaping Wang’s HomePage

I received my bachelor’s degree in Software Engineering from East China Normal University in 2023. My supervisor is Professor Jianwen Li.

My research primarily focuses on large language model (LLM) optimization, encompassing both training and inference. I am particularly interested in accelerating LLM training and inference through techniques such as speculative decoding and framework-level improvements. Beyond LLM optimization, I also find world models a fascinating research direction. I welcome anyone with shared interests in these topics to reach out and connect.

From May 2024 to March 2025, I interned in the Base Model Group of Sensetime Research Institute. I worked on the reasoning acceleration of large models and data synthesis of base models.

I recently joined the Alibaba Cloud Compiler Group, focusing on LLM inference framework optimization and AI compiler-related work. I am also open to exciting career opportunities.

My Google Scholar homepage is in Google Scholar.

News______________________________________________________

• ACL2025 Findings accepted our paper “Consultant Decoding: Yet Another Synergistic Mechanism,”,2025
• New preprint on “LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations”,2025[arxiv]
• New preprint on “CFP: A Reinforcement Learning Framework for Comprehensive Fairness-Performance Trade-Off in Machine Learning”,2024[arxiv]
• New preprint on “Experimenting a new programming practice with llms”,2024[arxiv]