Welcome!
We are the Knowledge Intelligence for Discovery and Decision-Making (KIND) Lab at the University of Oregon, led by Yu Wang. Our research lies in exploring knowledge intelligence solutions in discovery and decision-making through data mining and machine learning techniques for advancing social-good applications.
We are recruiting PhD students to work with us in the KIND Lab on topics in our general interests. Master, undergraduate students, and visiting scholars are also welcome. Please see here for position details.
We are grateful to the following for supporting our research:
News
02/2026
🎤 Invited to Attend NSF NAIRR Pilot Meeting, see you in DC!
02/2026
📚 Our preprint Benchmarking Knowledge-Extraction Attack and Defense on RAG is online!
01/2026
📚 Our paper Large Language Models for Conversational User Simulation has been accepted at EACL 2026!
01/2026
📚 Our paper on RL Exploration on Graphs has been accepted at WWW'26!
12/2025
📚 Our paper on Rule Mining and Learning for Structured Knowledge Retrieval has been accepted at WSDM'26!
11/2025
📚 Utkarsh's first work, Knowledge Homophily in Large Language Models, has been accepted at WSDM'26!
11/2025
📚 Our paper on SaVe-TAG: Semantic-aware Vicinal Risk Minimization for Long-Tailed Text-Attributed Graphs has been accepted at KDD'26!
11/2025
📚 Our paper, Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework, has been accepted at KDD'26!
11/2025
🎤 Talk at AI Seminar at Oregon State University on 'Rigorizing Neural Thinking with Structural Intelligence'!
10/2025
📚 Tutorial on Democratizing RAG with Structured Knowledge Intelligence has been accepted at WSDM'26!
09/2025
📚 Workshop SURGeLLM: Structured Understanding, Retrieval, and Generation in LLMs Era has been accepted at ACL'26!
08/2025
📚 Our paper, Knowledge Filtering and Integration for GraphRAG, has been accepted at EMNLP'25!
08/2025
💰 Our NSF-NAIRR Pilot project on developing Foundational GraphRAG has been selected!
08/2025
Riya's Paper has been accepted at IMC 2025 Student Workshop (IMC-SW25)!