Welcome to the MINE Lab

Welcome to the Machine Intelligence and kNowledge Engineering (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!

MINE Lab

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News

Nov. 2024 One paper is accepted by WSDM Demo 2025. Congratulations to Xiangqi.

Sep. 2024 Three papers are accepted by NeurIPS 2024 (1 spotlight and 2 poster). Congratulations to Kehan and Yue Huang.

Sep. 2024 Four papers are accepted by EMNLP 2024. Congratulations to Yujun, Yue Huang, Ziyi and Tianyu.

Sep. 2024 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.

Jul. 2024 Two papers are accepted by CIKM 2024, one paper is accepted by USENIX Security 2024, and one paper is accepted by Journal of the American Chemical Society (JACS).

Jul. 2024 Dr. Zhang is the co-investigator of the first Seed Transformative Interdisciplinary Research (STIR) grants (Project: atomic scale analog computing and physical neural networks).

May. 2024 Congratulations to Ziyi! The 15th PhD graduated from our lab, with his thesis–Exploring Trustworthy Concerns in Computer Vision: From Deterministic To Generative Domains.

May. 2024 Two paper are accepted by ICML 2024, one paper is accepted by ACL 2024, two papers are accepted by KDD 2024, and one paper is accepted by IJCAI 2024. Congratulations to Yue Huang, Yujun, Taicheng, Zhenwen and Ziyi.

Mar. 2024 One paper is accepted by SIGIR 2024 and one paper is accepted by TheWebConf2024.

Dec. 2024 One paper is accepted by AAAI 2024, two papers are accpted by IEEE ICASSP 2024, and one paper is accepted by IEEE TNNSL.

Oct. 2023 Two papers are accepted for EMNLP 2023. Congratulations to Zhenwen.

Sep. 2023 One paper is acccepted by NeurIPS 2024, and one paper is accpted by CIKM 2023.

Sep. 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.

Aug. 2023 PI Dr. Zhang is awarded an NSF grant (1 million US dollars) for the research project of Cybertraining for Chemical Data scientists, abbreviated as C2D.

Aug. 2023 Dr. Zhang is the co-chair of WSDM’24 Demo (Due: Sep 24, 2023). Accepted papers will be included in the WSDM’24 proceedings.

Aug. 2023 Dr. Zhang is the co-chair of User Modeling and Recommendation track at The Web Conference 2024. (Due: Oct 5 (abstract), Oct 12 (full-paper), 2023)

Aug. 2023 Dr. Zhang is the Editor-in-Chief of SIGKDD Explorations (the December 2023 issue is accepting submission of surveys, news, opinion papers, vision papers and so on).

May. 2023 Two papers are accpted by KDD 2023 and three papers are accepted by ACL 2023.