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
08/2025
Riya's Paper has been accepted at IMC 2025 Student Workshop (IMC-SW25)!
08/2025
Yu Received KDD Outstanding Dissertation Award Honorable Mention!
07/2025
Yu's Collaborative Research Received NSF IIS-III Core Program!
07/2025
Our paper, DynaSaur: Large Language Agents Beyond Predefined Actions, has been accepted at COLM'25!
06/2025
Utkarsh first paper, A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models, is online!
06/2025
Our paper, Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks, has been accepted at IEEE Transactions on Network Science and Engineering (TNSE)!
06/2025
Our paper, Personalization of Large Language Models: A Survey, has been accepted at Transactions on Machine Learning Research (TMLR)!
05/2025
Yongjia first paper, Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases, has been accepted at ACL 2025 Findings!
05/2025
3 papers accepted at ACL 2025, 1 paper accepted at KDD 2025!
04/2025
My student, Yongjia, has been awarded the SDM Doctorum Forum Poster Session Honorable Mention Award!
03/2025
Congratulations to Yongjia for receiving the internship offer from Adobe!
03/2025
Our paper, Building Trust in Machine Learning-Powered Networking: The Network Explainer Framework, has been accepted at SDM-AI4TS2025, congratulations Riya!
03/2025
Our paper, Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases, has been accepted at NAACL SRM2025!
03/2025
Our paper, GRS-QA - Graph Reasoning-Structured Question Answering Dataset, has been accepted at NAACL SRM2025!