University of Notre Dame, Department of Computer Science and Engineering
Welcome to the MINE lab, directed by Prof. Xiangliang Zhang in the Department of Computer Science and Engineering at the University of Notre Dame.
In our lab, "MINE" signifies more than just its acronym. It represents the ownership of innovation, the discovery of hidden insights, and the pursuit of untapped potential—much like mining precious resources. Our mission is to enable computer machines to learn through experience and data, fostering breakthroughs in Artificial Intelligence that power knowledge advancement across diverse fields. We see ourselves as data "miners," uncovering the treasure troves of knowledge buried in information. At the MINE lab, we cultivate a spirit of curiosity and exploration, where ideas are not just developed—they are owned and celebrated as "mine." If you are a motivated Ph.D. candidate ready to claim your place in shaping the future of AI, we welcome you to join the MINE lab at Notre Dame!
Congratulations to Yue Huang and our co-authors for winning the Best Paper Award at the KDD 2025 SciSoc LLM Workshop for our paper “Evaluating Large Language Models with Psychometrics”, and the Best Paper Award at the ICML2025 Workshop on Data in Generative Models (DIG-BUG) for our paper “Preference Leakage: A Contamination Problem in LLM-as-a-Judge”. Many thanks to all our collaborators for their valuable contributions.
Congratulations to Yue Huang, Kehan, Yili for their papers accepted at CIKM 2025 and COLM 2025!
1) Congratulations to Yue Huang, Kehan, Yili, Tianyu, and Haomin for their recent publications at ICLR’25, IJCAI’25 and ACL’25! 2) Congratulations to Zhenwen, and Manal, your graduations bring the number of PhDs from our lab to 17!
1) Three papers are accepted by NeurIPS 2024 (1 highlight and 2 poster). Congratulations to Kehan and Yue Huang. Four papers are accepted by EMNLP 2024. Congratulations to Yujun, Yue Huang, Ziyi and Tianyu. 2) We launch the IEEE CS North America Student Challenge 2024 today. Welcome to participate the competition on Inferring User Latent Preference from Conversations with LLM, and win the prize.