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Yuzhe Norris Wang is a Ph.D. candidate in Computer Science at Stanford University, advised by Professor Jiajun Wu and Professor Fei-Fei Li. His research interests lie at the intersection of reinforcement learning, robotics, computer vision, and natural language processing, with a focus on developing intelligent agents that can learn complex behaviors and interact effectively with the physical world. He aims to build general-purpose robotic systems that can understand and perform a wide range of tasks based on multimodal inputs. Prior to Stanford, he obtained his Bachelor's degree from Tsinghua University.
Yuzhe Norris Wang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently pursuing doctoral research in Artificial Intelligence and Robotics at one of the world's leading computer science departments, focusing on general-purpose robotic agents.
Contributed to a significant research paper and dataset (presented at RSS 2024) aimed at enabling robots to learn manipulation skills by observing human videos, fostering advancements in imitation learning.
Authored and co-authored multiple publications in top-tier AI and robotics conferences (e.g., CoRL, NeurIPS, ICRA) on topics such as learning from demonstrations, reinforcement learning for robotics, and creating adaptable manipulation skills for robots in unstructured environments.
Key contributor to VIMA, a novel approach for general robot manipulation that leverages multimodal prompts (text, images, video) to specify tasks, significantly enhancing the flexibility and intuitiveness of human-robot interaction.
Graduated with a Bachelor's degree from Tsinghua University, a prestigious engineering and computer science institution, providing a strong foundational knowledge for his advanced research.
University of Melbourne - Year 2009
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Balance is a B2B payments platform designed to streamline and automate the entire B2B transaction lifecycle for merchants and marketplaces. It offers flexible net terms, various payment methods (ACH, card, check, wire), automated reconciliation, and instant B2B checkout experiences, aiming to make B2B commerce as seamless as B2C.
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