116 citations · 186 across the 12 of their papers we have counts for
12 papers
Hybrid GPU-CPU Retrieval for Personalized Search at Ultra-Large Scale
Hao Fu, Jichao Sun, Baiting Zhu +15
Embedding-based retrieval on user-generated content at the trillion-document scale exposes a sharp conflict between two production demands: deep, expressive personalization for que…
ArchSim: Computer Architecture Simulation as a Service
Sabila Al Jannat, Wenhan Lyu, Le Khanh Trinh Mai +4
Conducting a complete computer architecture simulation study is challenging because configuration, execution, and analysis are often encoded implicitly in scripts or directory conv…
PeerMathDial: A Middle School Dialogue Dataset for Student Collaborative Math Problem Solving
Murong Yue, Desmond Alexander Mcglone, Emily Slutz +4
Collaborative Problem Solving (CPS) is a core skill in education, where the process of peer interaction is highly important. However, existing educational dialogue datasets mostly…
TheBotCompany: Self-Organizing Multi-agent Systems for Continuous Software Development
Wenhan Lyu, Yue Xiao, Yixuan Zhang +1
Large language model (LLM)-based multi-agent systems have shown promise in automating software development tasks. However, most vibe-coding systems focus on completing small tasks…
Designing AI Peers for Collaborative Mathematical Problem Solving with Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue +5
Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without ongoing teacher s…
Real-Time Trend Prediction via Continually-Aligned LLM Query Generation
Zijing Hui, Wenhan Lyu, Shusen Wang +2
Trending news detection in low-traffic search environments faces a fundamental cold-start problem, where a lack of query volume prevents systems from identifying emerging or long-t…
RecruitScope: A Visual Analytics System for Multidimensional Recruitment Data Analysis
Xiyuan Zhu, Wenhan Lyu, Chaochao Fu +6
Online recruitment platforms have become the dominant channel for modern hiring, yet most platforms offer only basic filtering capabilities, such as job title, keyword, and salary…
DV365: Extremely Long User History Modeling at Instagram
Wenhan Lyu, Devashish Tyagi, Yihang Yang +9
Long user history is highly valuable signal for recommendation systems, but effectively incorporating it often comes with high cost in terms of data center power consumption and GP…
Will Your Next Pair Programming Partner Be Human? An Empirical Evaluation of Generative AI as a Collaborative Teammate in a Semester-Long Classroom Setting
Wenhan Lyu, Yimeng Wang, Yifan Sun +1
Generative AI (GenAI), especially Large Language Models (LLMs), is rapidly reshaping both programming workflows and computer science education. Many programmers now incorporate Gen…
Understanding the Practices, Perceptions, and (Dis)Trust of Generative AI among Instructors: A Mixed-methods Study in the U.S. Higher Education
Wenhan Lyu, Shuang Zhang, Tingting +3
Generative AI (GenAI) has brought opportunities and challenges for higher education as it integrates into teaching and learning environments. As instructors navigate this new lands…
Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study
Wenhan Lyu, Yimeng Wang, Tingting +3
The integration of AI assistants, especially through the development of Large Language Models (LLMs), into computer science education has sparked significant debate. An emerging bo…
TrustLLM: Trustworthiness in Large Language Models
Yue Huang, Lichao Sun, Haoran Wang +67
Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs prese…