Research
My current research focuses on machine learning, lifelong learning, and computer vision.
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Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang,
Mengye Ren
CoLLAs 2025
arXiv
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Reawakening Knowledge: Anticipatory Recovery from Catastrophic Interference via Structured Training
Yanlai Yang,
Matt Jones,
Michael C. Mozer,
Mengye Ren
NeurIPS 2024
arXiv
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code
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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
arXiv
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code
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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 (new)
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project page (old)
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arXiv
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code
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blog post
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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
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Preprints, Workshop Papers and Academic Reports
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LifelongMemory: Leveraging LLMs for Answering Queries in Egocentric Videos
Ying Wang,
Yanlai Yang,
Mengye Ren
Preprint
project page
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arXiv
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code
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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
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code
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Multi-Task Learning Architectures and Applications
Andy Yan,
Xin Wang,
Yanlai Yang,
Roy Fox,
Xiaolong Wang,
Joseph Gonzalez
Technical Report, 2020
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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
Reader, CS70 Discrete Mathematics and Probability Theory, Fall 2019
Reader, CS70 Summer 2019
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Service
I served as reviewer for the following conferences and workshops:
CoLLAs (Technical Reviewer, 2024-25), NeurIPS (2024), WACV (2025), ICLR (2025), AISTATS (2025), CVPR (2025), ICML (2025), ICCV (2025).
CoRL 2023 Workshop "Towards Reliable and Deployable Learning-Based Robotic Systems," NeurIPS 2024 Workshop on
Adaptive Foundation Models.
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