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Fangchen Liu
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2020 – today
- 2024
- [i15]Jianlan Luo, Charles Xu, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine:
FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning. CoRR abs/2401.08553 (2024) - [i14]Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine:
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. CoRR abs/2403.03174 (2024) - 2023
- [c10]Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. ICML 2023: 41414-41428 - [i13]Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez:
The Wisdom of Hindsight Makes Language Models Better Instruction Followers. CoRR abs/2302.05206 (2023) - [i12]Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su:
Chain-of-Thought Predictive Control. CoRR abs/2304.00776 (2023) - [i11]Xingyu Lin, John So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel:
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks. CoRR abs/2307.03567 (2023) - 2022
- [c9]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRL 2022: 1332-1344 - [c8]Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel:
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. ICIP 2022: 3943-3947 - [c7]Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel:
Towards More Generalizable One-shot Visual Imitation Learning. ICRA 2022: 2434-2444 - [c6]Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel:
Masked Autoencoding for Scalable and Generalizable Decision Making. NeurIPS 2022 - [i10]Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel:
Masked World Models for Visual Control. CoRR abs/2206.14244 (2022) - [i9]Younggyo Seo, Kimin Lee, Fangchen Liu, Stephen James, Pieter Abbeel:
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator. CoRR abs/2209.07143 (2022) - [i8]Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel:
Masked Autoencoding for Scalable and Generalizable Decision Making. CoRR abs/2211.12740 (2022) - 2021
- [i7]Mandi Zhao, Fangchen Liu, Kimin Lee, Pieter Abbeel:
Towards More Generalizable One-shot Visual Imitation Learning. CoRR abs/2110.13423 (2021) - 2020
- [c5]Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. CVPR 2020: 2633-2642 - [c4]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 2020: 11094-11104 - [c3]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. ICLR 2020 - [i6]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-based Interactive ENvironment. CoRR abs/2003.08515 (2020)
2010 – 2019
- 2019
- [j2]Zhenjun Li, Chunyu Zhao, Zechen Lu, Fangchen Liu:
Thermal Performances Prediction Analysis of High Speed Feed Shaft Bearings Under Actual Working Condition. IEEE Access 7: 168011-168019 (2019) - [j1]Zhenjun Li, Zechen Lu, Chunyu Zhao, Fangchen Liu, Ye Chen:
Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors. Sensors 19(21): 4694 (2019) - [c2]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CVPR 2019: 11447-11456 - [c1]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. NeurIPS 2019: 1940-1950 - [i5]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. CoRR abs/1908.05451 (2019) - [i4]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. CoRR abs/1911.10947 (2019) - 2018
- [i3]Fisher Yu, Wenqi Xian, Yingying Chen, Fangchen Liu, Mike Liao, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling. CoRR abs/1805.04687 (2018) - [i2]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CoRR abs/1812.00037 (2018) - 2017
- [i1]Xiangyu Kong, Bo Xin, Fangchen Liu, Yizhou Wang:
Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning. CoRR abs/1712.07305 (2017)
Coauthor Index
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last updated on 2024-04-04 20:13 CEST by the dblp team
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