Machine Intelligence and kNowledge Engineering Lab
Advancing AI through innovative research at the University of Notre Dame
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!
Our Research Focus
Machine Learning
Designing novel algorithms for learning from complex and large-scale streaming data and graph data.
Knowledge Engineering
Building systems that discover, represent, and utilize knowledge for recommendation systems and natural language understanding.
Scientific AI
Advancing the application of AI in scientific disciplines such as Chemistry, Biology, and Physics.
Latest News
Latest News
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.
1) Congratulations to Ziyi! The 15th PhD graduated from our lab, with his thesis–Exploring Trustworthy Concerns in Computer Vision: From Deterministic To Generative Domains. 2) Two paper are accepted by ICML 2024, one paper is accepted by ACL 2024, two paper are accepted by KDD 2024, and one paper is accepted by IJCAI 2024. Congratulations to Yue Huang, Yujun, Taicheng, Zhenwen and Ziyi.
Congratulations to Zhenwen! Two of his recent papers, focused on solving Math Word Problems, have been accepted for EMNLP 2023.
PI Dr. Zhang is awarded another NSF grant (1.5 million US dollars) for the research project of Exploiting Federal Data and Beyond: A Multi-modal Knowledge Network for Comprehensive Wildlife Management under Climate Change.