Weirui Peng PDF

Columbia University, New York, NY
M.S., Electrical Engineering
Advisor: Lydia Chilton

The Chinese University of Hong Kong, Sha Tin, HK
B.Eng., Electronic Engineering
Graduated with First Class Honors
Advisor: Thierry Blu

LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaboration
Zheng Zhang, Weirui Peng, Xinyue Chen, Luke Cao, Toby Jia-jun Li
Accepted to ACM CHI 2025.

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Kenneth Koedinger, Tongshuang Wu
Accepted to ACM TOCHI.

Exploring the Diversity of Music Experiences for Deaf and Hard of Hearing People
Kyrie Zhixuan Zhou, Weirui Peng, Yuhan Liu, Rachel F. Adler
Accepted to CSCW 2024.

Enhancing User Engagement in AI Auditing Through Gamification and Storytelling
Weirui Peng, Mengyi wei, Kyrie Zhixuan Zhou
Accepted to CSCW 2023 User AI Auditing Workshop.

WInE Lab, Carnegie Mellon University
Research Assistant
Mentor: Sherry Tongshuang Wu

• Designed and implemented a web-based interactive system that transforms user requirements into effective prompts for large language models (LLMs).
• Conducted in-depth data analysis of user study results to evaluate system usability and effectiveness, deriving key findings for further development.
• Paper submitted to ACM TOCHI.

HCII, Carnegie Mellon University
Research Assistant
Mentor: Niki Kittur & Nik Martelaro

• Investigated how designers utilize bio-inspiration to improve design outcomes, focusing on the methods and processes employed in translating natural phenomena into innovative solutions.
• Developed workshop agendas and organized sessions to explore how designers identify and extract key elements from bio-inspiration, facilitating deeper insights into their creative processes.

SaNDwich Lab, University of Notre Dame
Research Assistant
Mentor: Toby Jia-jun Li

• Conducted interviews with users to understand their unique needs in team planning tools.
• Designed an interactive system for supporting co-located team collaborations by helping members perform cognitive tasks such as brainstorming, organizing ideas, and making comparisons.
• Paper accepted to ACM CHI 2025.

Information Experience and Accessibility Lab, University of Illinois Urbana-Champaign
Research Assistant
Mentor: Rachel F. Adler

• Conducted a qualitative content analysis and text mining on Reddit discussions about music experiences of Deaf and Hard-of-hearing (DHH) people.
• Conducted interviews with DHH people to understand their needs in music appreciation.
• Paper accepted to CSCW 2024.

Computational Design Lab, Columbia University
Research Assistant
Mentor: Lydia Chilton

• Created an AI-powered interactive system to assist design students in crafting digital art portfolioswith p5.js.
• Utilized generative AI to co-create visual, audio, and interactive elements based on artists’ visions.

Oortech, New York, NY
Machine Learning Engineer intern

• Conducted a detailed comparative analysis of large language models (LLM) including GPT3.5, Vicuna, Bloom, Llama2, Phoenix, and ChatGLM, using the Fastchat platform.
• Implemented the LoRA finetuning method to build and refine a specialized LLM product tailored for Lenovo, incorporating the company's product knowledge through custom datasets constructed from the information provided by Lenovo.
• Addressed and resolved technical challenges in model training and integration, significantly enhancing the service's ability to provide accurate and effective responses to customer queries.