Yanlai Yang

I am a first-year Ph.D student in Computer Science at NYU Courant, advised by Prof. Mengye Ren in the CILVR Lab.

Prior to joining NYU, I got my Bachelor's degree in Computer Science and Applied Math at UC Berkeley, where I was fortunate to do research as part of the Robotic AI & Learning Lab, advised by Dr. Frederik Ebert and Prof. Sergey Levine.

Research

My current research focuses on machine learning, lifelong learning, and computer vision.

	Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials Aviral Kumar^, Anikait Singh^, Frederik Ebert^, Mitsuhiko Nakamoto, Yanlai Yang, Chelsea Finn, Sergey Levine RSS 2023* project page / arXiv / code
	Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets Frederik Ebert^, Yanlai Yang^, Karl Schmeckpeper, Bernadette Bucher, Georgios Georgakis, Chelsea Finn, Sergey Levine RSS 2022 project page / arXiv / code / blog post
	Multi-Task Learning Architectures and Applications Andy Yan, Xin Wang, Yanlai Yang, Roy Fox, Xiaolong Wang, Joseph Gonzalez Technical Report, 2020
	Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From? R. Stuart Geiger, Kevin Yu, Yanlai Yang, Mindy Dai, Jie Qiu, Rebekah Tang, Jenny Huang ACM FAT^ 2020*

Teaching

Acknowledgements

In addition to the co-authors listed in the research papers above, I would also like to thank Prof. Pieter Abbeel and Prof. Stas Tiomkin for being my research advisors when I was an undergraduate researcher at the UC Berkeley Robotic Learning Lab.