This is Yiming Zeng, a PhD Candidate in Computer Science from University of Connecticut (UConn). I received my M.S. in Information Science from University of Pittsburgh in 2023 and B.E. in Information System in 2020. I used to be a software engineer in Baidu and AI researcher in UPMC Hillman Cancer Center.

I am fortunate to be advised by Dr. Tingting Yu and deeply appreciate the opportunity to collaborate with Dr. Shangqian Gao on exploring large language models (LLMs).

My area of interests lie in Large Language Models especially in Model Training, Efficient LLMs, and LLMs for Code Generation. If you are interest in colloration with me, please email yiming.zeng@uconn.edu.

News

1. [August, 2025] 🎆 Excited to share that my first-author paper “Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications” has been accepted to EMNLP 2025 🎉 (a top-tier conference in AI and NLP)! Huge thanks to my amazing collaborators.

2. [August, 2025] Happy to share that our paper[“PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization”] has been accepted to EMNLP Demonstration Track 2025

3. [April, 2025] 🎉 I have passed the PhD Qualifying Exam and become a PhD Candidate in Computer Science & Engineering.

4. [August, 2024] I relocated from Pittsburgh to Connecticut to pursue my PhD in Computer Science at the University of Connecticut, and I am grateful to be working under the guidance of Dr. Tingting Yu.

Academic Service

Reviewer: NeurIPS 2025, AAAI 2025

Teaching Experience

Adjunct Lecturer — CSE2102 (University of Connecticut)

• Taught React.js fundamentals (Hooks, state management, component-based UI design).
• Guided students in deploying full-stack projects (React frontend + Express backend) to AWS.