Rate My Professor Xin Wang

Xin Wang is an Assistant Professor of Computer Science and Engineering at the University of California, Santa Cruz. His research centers on natural language processing, computer vision, embodied artificial intelligence, and machine learning, with a focus on multimodal and agentic AI. Wang received his Ph.D. from the University of California, Santa Barbara in 2020, where he defended his dissertation titled "Closing the Loop Between Language and Vision for Embodied Agents," and his Bachelor's degree from Zhejiang University in 2015, earning Outstanding Graduate honors.

Prior to UCSC, Wang completed research internships at Google Research, Meta FAIR, Microsoft Research AI, and Adobe Research. At UCSC, he has taught courses such as CSE 142: Machine Learning and CSE 244B: Machine Learning for Natural Language Processing. His accolades include the CVPR 2019 Best Student Paper Award, UC Santa Cruz Innovator of the Year Finalist in 2024, Google Faculty Research Award in 2022, and faculty research awards from eBay, Snap, Cisco, and JPMorgan Chase. Wang has served as Area Chair for ACL, NAACL, and EMNLP, Senior Program Committee member for AAAI and IJCAI, and organizer of workshops and tutorials at CVPR, ICCV, ACL, and NAACL. Notable publications encompass "VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research" (ICCV 2019), "Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation" (CVPR 2019, Best Student Paper Award), "REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments" (CVPR 2020), "LayoutGPT: Compositional Visual Planning and Generation with Large Language Models" (NeurIPS 2023), and "Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis" (ICLR 2023). These works have advanced vision-and-language navigation, multimodal learning, and generative AI.