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 (FAT*, 2020)

Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets. - Frederik Ebert; Yanlai Yang; Karl Schmeckpeper; Bernadette Bucher; Georgios Georgakis; Kostas Daniilidis; Chelsea Finn; Sergey Levine (Robotics: Science and Systems, 2022)

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials. - Aviral Kumar; Anikait Singh; Frederik Ebert; Yanlai Yang; Chelsea Finn; Sergey Levine (CoRR, 2022)

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials. - Aviral Kumar; Anikait Singh; Frederik D. Ebert; Mitsuhiko Nakamoto; Yanlai Yang; Chelsea Finn; Sergey Levine (Robotics: Science and Systems, 2023)

LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos. - Ying Wang 063; Yanlai Yang; Mengye Ren (CoRR, 2023)

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training. - Yanlai Yang; Matt Jones 001; Michael C. Mozer; Mengye Ren (NeurIPS, 2024)

Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos. - Yanlai Yang; Mengye Ren (CoRR, 2025)