Shengjie Wang is an assistant professor at NYU Shanghai since Fall 2023. He received his Ph.D. in Computer Science and Engineering from the University of Washington, where he was advised by Jeffrey Bilmes. He earned his bachelor's degree from the University of Illinois at Urbana-Champaign.
Research Interests
Machine Learning, Areas such as Deep Learning, AI for Science, Submodular Optimization, Computer Vision, and NLP.