Leonard C. Bettex Collegiate Professor
Department of Computer Science and Engineering
Dr. Zhang is a Leonard C. Bettex Collegiate Professor of Computer Science at University of Notre Dame, where she is leading a Machine Intelligence and kNowledge Engineering (MINE) group. Her research broadly addresses ways that enable computer machines to learn by the use of diverse types of data. Specifically, she is interested in designing machine learning algorithms for learning from complex and large-scale streaming data and graph data, with applications to recommendation systems, knowledge discovery, and natural language understanding. Her recent research notably advances the application of AI in scientific disciplines such as Chemistry, Biology, and Physics. More information can be found in the publications grouped by research problems, or the full list of over 250 peer-reviewed papers. She was invited to deliver an Early Career Spotlight talk at IJCAI-ECAI 2018. In 2009, she was awarded the European Research Consortium for Informatics and Mathematics (ERCIM) Alain Bensoussan Fellowship. She was the co-chair of User Modeling and Recommendation track at The Web Conference 2024, and co-chair of WSDM’24 Demo, she regularly serves on the Program Committee for premier conferences like SIGKDD (Area Chair, Senior PC), AAAI (Area Chair, Senior PC), IJCAI (Area Chair, Senior PC), etc. She also serves as Editor-in-Chief of ACM SIGKDD Explorations, associate editor for IEEE Transactions on Dependable and Secure Computing (TDSC), and Information Sciences. Prior to joining the University of Notre Dame, she was an Associate Professor in Computer Science at KAUST, Saudi Arabia. She completed her Ph.D. degree in computer science from INRIA-University Paris-Sud, France, in July 2010. She received her master and bachelor degrees from Xi’an Jiaotong University, China.
We invite open research collaborations! Check out our opening here.
PhD Student, started 2022 Fall (Website)
PhD Student, started 2023 Spring (Website)
PhD Student, started 2023 Spring (Website)
PhD Student, started 2023 Fall(Website)
PhD Student, started 2023 Fall (Website)
PhD Student, started 2024 Spring (Website)
PhD Student, started 2024 Fall (Website)
PhD Student, started 2024 Fall (Website)
Research Scientist at Tencent AI Lab, Seattle
Assistant Professor at MBZUAI, UAE
AI Scientist at AStar, Singapore
Postdoc Researcher at University of Florida, USA
Assistant Professor at Lanzhou University, China
Postdoc Researcher at Cornell University, USA
Senior Algorithm Engineer at Alibaba, China
Research Scientist at Sony AI, Japan
ML Researcher and Practitioner at Huawei, Montreal, Canada
Research Scientist at Google DeepMind, Zurich, Switzerland
Assistant Professor at Jeddah University, Saudi Arabia
Assistant Professor at Utrecht University, Netherlands
PhD Student at University of Toronto, Canada
PhD Student at Queen’s University, Canada
PhD Student at King Abdullah University of Science and Technology
Bark-fessor, Oreo, a brilliant mini-Aussie, serves as the lead investigator in the MINE Lab’s Paw-tective Studies Department. His research interests include shepherding efficiency, treat economics, and zoomie dynamics under varying energy conditions. Oreo is currently working on a groundbreaking thesis titled, “The Art of Herding Humans: A Behavioral Study in Household Management.”
Donna, a remarkable Shih Tzu, serves as the Post-dog-toral Researcher in the MINE Lab’s Comfort Optimization Department. Her research interests include blanket layering strategies, lap-warming efficiency, and the physics of toy displacement during playtime. Donna is currently working on an innovative study titled, “The Science of Cozy: Maximizing Comfort in Shared Living Spaces.”
Fletcher is pursuing his Meow-ster’s Degree in Cozy Spot Optimization and String Theory (literally). His academic contributions include pioneering studies in ‘keyboard occupation during work hours’ and ‘lap-warming methodologies.’ Fletcher’s extracurricular interests include investigating sunbeam alignment across the room and testing the gravitational properties of objects on tables.
Snowball is proudly working toward her Bun-chelor’s Degree in Fluff Density Maximization and Veggie Acquisition Strategies. Her notable academic achievements include trailblazing research on ‘Couch Cushion Excavation’ and ‘The Art of Begging for Treats with Maximum Adorability.’ Snowball’s leisure activities feature precision binkies at unexpected moments, mastering the art of disappearing into tiny nooks, and conducting extensive taste tests on various types of lettuce.
Yingqian Zhang (Visiting PhD student from Zhejiang University, 2023 - 2024)
Yicheng Lang (Visiting Undergraduate student from Xi’an jiaotong University, March - August, 2024)
Lang Gao (Visiting Undergraduate student from Huazhong University of Science and Technology (HUST), March - August, 2024)
Jing Gong (Visiting Undergraduate student from Sun yat-sen University, March - August, 2024)