Welcome!

We are the Knowledge Intelligence for Discovery and Decision-Making (KIND) Lab at the University of Georgia, 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.

UGA is a leading public research university, ranked #19 among U.S. public universities (U.S. News 2026), #10 (Niche 2026), #18 (Forbes 2026), and #12 Best Value Public School (The Princeton Review 2025).

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

05/2026
📚 Zhisheng's first paper on Privacy Preserving on RAG has been accepted at KDD'26 Benchmark&Dataset Track (Oral)!
05/2026
📚 Our paper on RAG vs. GraphRAG has been accepted at KDD'26 Benchmark&Dataset Track!
04/2026
💰 Our NSF-NAIRR Pilot project on Multi-Modal Agentic Social Network Modeling and Optimization has been selected!
04/2026
📚 Our paper, ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents, has been accepted at ACL 2026 main track!
03/2026
📚 Our collaborative project 'Fast-Food Brand Marketing and User Engagement on Instagram' has been accepted by the Meta Content Library!
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'!

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