We study the theoretical foundation and practical algorithms for language, vision, and machine learning technologies. We tackle challenging learning and reasoning problems under uncertainty and pursue answers via studies of machine learning, deep learning, and interdisciplinary data science. Broadly, we are interested in designing scalable inference and learning algorithms to analyze massive datasets with complex structures. In particular, our team concentrates on the areas of deep learning, reinforcement learning, vision-and-language navigation, large multimodal pretraining models, video and language, and robot manipulation.
Faculty advisor: William Wang
Jiachen L. — Team leader
Jiachen is a first-year PhD student at UC Santa Barbara advised by William Wang. He received his master's in electrical and computer engineering at University of California San Diego and a bachelor degree from Huazhong University of Science and Technology where he was an outstanding undergraduate in terms of academic performance (Top 1%). His current research interests broadly include Deep RL that tackles continuous control, and Multi-modal understanding.
Tsu-Jui (Ray) F.
Tsu-Jui is currently a third-year Ph.D. student at UCSB CS, advised by William Wang. His research interest lies in natural language processing (NLP) and computer vision (CV). Primarily, his work on language grounding and interacting with environments using language. Besides, he is also interested in information extraction and video analysis. His goal is to bridge the gap between vision and language via the AI system.
Yujie L.
Yujie is a first year CS PhD at UC Santa Barbara, advised by Professor William Wang and Professor Miguel Eckstein, at Natural Language Processing Group and Vision and Image Understanding Lab. She obtained her bachelor’s degree from Chu Kochen Honors College, Zhejiang University. Her research interests lie in Vision and Language (language grounding, multi-modal), Computer Vision and Robotics (detection, manipulation; self-supervised, lifelong) and Data Mining (recommendation), with the intersection of Cognition.
Xinyi W.
Xinyi is a second year CS PhD student at UCSB advised by Prof. William Wang. Her research interests are machine learning and natural language processing. More specifically, she is interested in applying causality theories to solve deep learning problems.
Xifeng Y.
Xifeng's research focuses on the development of fundamental concepts and new principles of data mining, design intelligent algorithms and build scalable systems. His current concentrations include: modeling, managing, and mining large-scale, heterogeneous graphs; structural and statistical analysis of texts and their applications; intelligent solutions to cross-domain problems in bioinformatics, business intelligence, computer security, computer systems, and social science.
Eddie Z.
Eddie is a third-year undergraduate student at the University of California, Santa Barbara. He works in the NLP Group under Professor William Wang. His research focuses on improving efficiency in deep reinforcement learning through causal inference models. He has worked in industry implementing deep learning models for both computer vision and radar.
Wanrong Z.
Wanrong is a third-year Ph.D. student in the Natural Language Processing Group at UCSB, advised by Prof. William Wang. Before joining UCSB, she received her B.S. degree in Computer Science from Peking University.
Xifeng Yan — Faculty advisor
Xifeng Yan is the Narayanamurti Professor of Computer Science at UCSB. Yan's research focuses on the development of fundamental concepts and new principles of data mining, designing intelligent algorithms, and building scalable systems.
