معرفی
Chuxu Zhang is an Associate Professor of Computer Science and Engineering at the University of Connecticut (UConn), affiliated with the College of Engineering's School of Computing. He directs the Machine Intelligence and Data Science (MINDS) Lab, focusing on resource-efficient machine learning and graph-based AI applications. His work bridges foundational research and societal impact, including healthcare, social media, and public health.
Education: PhD in Computer Science and Engineering from the University of Notre Dame (2017–2020), advised by Prof. Nitesh Chawla. Previously, he was an Assistant Professor at Brandeis University (2020–2024). His research emphasizes graph neural networks, large language models, and data-efficient learning.
Awards include the NSF CAREER Award (2024), Frontiers of Science Award (2024), and AAAI New Faculty Highlight (2023). He actively organizes workshops like RelKD and RelWeb on resource-efficient learning. Key grants include NSF funding for community resilience and opioid misuse detection.
Key contributions span over 50 papers in top venues (ICML, NeurIPS, KDD). The MINDS Lab has 8 current PhD students and focuses on ethical, robust, and interpretable AI systems. Future work includes advancing graph foundation models and LLM integration in healthcare.
