Yanlai Yang

I am a second-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.

I was a recipient of the Mark D. Weiser Excellence in Computing Scholarship and the Outstanding Student Instructor Award at UC Berkeley.

Email  /  CV  /  Github  /  Bridge

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Research

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

Preprints
lifelongmem Reawakening Knowledge: Anticipatory Recovery from Catastrophic Interference via Structured Training
Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
Preprint
arXiv / code

lifelongmem LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos
Ying Wang, Yanlai Yang, Mengye Ren
Preprint
project page / arXiv / code

Conference Papers
ptr 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 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

gigo_fat 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

Workshop Papers and Academic Reports
ego4d Egocentric Video Comprehension via Large Language Model Inner Speech
Ying Wang, Dongdong Sun, Rui Chen, Yanlai Yang, Mengye Ren
3rd International Ego4D Workshop @ CVPR 2023
Paper / code

bdd Multi-Task Learning Architectures and Applications
Andy Yan, Xin Wang, Yanlai Yang, Roy Fox, Xiaolong Wang, Joseph Gonzalez
Technical Report, 2020

Teaching
nyu Section Leader, DS-GA 1003 Machine Learning, Spring 2023
cs188 Summer Session Lecturer, CS188 Intro to Artificial Intelligence, Summer 2022

Head Undergraduate Student Instructor, CS188 Spring 2022

Undergraduate Student Instructor, CS188 Fall 2021

Undergraduate Student Instructor, CS188 Spring 2021

Undergraduate Student Instructor, CS188 Fall 2020

Undergraduate Student Instructor, CS188 Spring 2020
Acknowledgements

In addition to the co-authors listed in the research papers above, I would 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.



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