Hi, I am Yibin!

I am currently a M.S. student in Computer Science at NYU Courant. Before that, I received my Bachelor’s degree in Computer Science and Mathematics at NYU Courant.

My research interests lie at the intersection of machine learning and robotics, with a particular focus on dataset creation, data processing, ML model design, and conducting real-world experiments for diverse, multimodal robotic manipulation tasks in both simulated and real-world environments. My goal is to enable robots to generalize across a wide range of tasks and environments while minimizing reliance on labor-intensive data collection. Additionally, I am interested in leveraging large language models (LLMs) and vision-language models (VLMs) to enhance robots’ capabilities in action and task planning.

I am currently working with Prof. Lerrel Pinto on robot learning policies and related real-world robot experiments.

Publications

EduBot – Can LLMs Solve Personalized Learning and Programming Assignments?
Yibin Wang, Jiaxi Xie, Lakshmi Subramanian
Annual AAAI Conference on Artificial Intelligence, AI4EDU Workshop, 2025

Behavior Generation with Latent Actions(paper | Project Site)
Seungjae Lee, Yibin Wang, Haritheja Etukuru, H. Jin Kim, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
Spotlight (Top 3.5%), International Conference on Machine Learning, 2024

From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data(paper | Project Site)
ZiChen Jeff Cui, Yibin Wang, Nur Muhammad Mahi Shafiullah, Lerrel Pinto
Notable Top 5% (Oral), International Conference on Learning Representations, 2023