Fangchen Liu
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Robot Manipulation and Learning, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Algal biology and biofuel production
Most-Cited Works
- → BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning(2020)2,161 cited
- BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling.(2018)
- → SAPIEN: A SimulAted Part-Based Interactive ENvironment(2020)358 cited
- → Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0(2024)110 cited
- → Adversarial Defense by Stratified Convolutional Sparse Coding(2019)89 cited
- → Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning(2017)45 cited
- → Towards More Generalizable One-shot Visual Imitation Learning(2022)27 cited
- → MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting(2024)24 cited
- → Advance in and prospect of moderator materials for space nuclear reactors(2021)23 cited