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2020 – today
- 2024
[i7]Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan:
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Preference Alignment. CoRR abs/2402.08702 (2024)- [i6]Yilun Hao, Yongchao Chen, Yang Zhang, Chuchu Fan:
Large Language Models Can Plan Your Travels Rigorously with Formal Verification Tools. CoRR abs/2404.11891 (2024) - 2023
- [c8]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRL 2023: 1737-1760 - [c7]Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh:
Gesture-Informed Robot Assistance via Foundation Models. CoRL 2023: 3061-3082 - [c6]Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh:
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. IROS 2023: 1-7 - [i5]Li-Heng Lin, Yuchen Cui, Yilun Hao, Fei Xia, Dorsa Sadigh:
Gesture-Informed Robot Assistance via Foundation Models. CoRR abs/2309.02721 (2023) - [i4]Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu:
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities. CoRR abs/2311.01454 (2023) - 2022
- [j1]Justin Morris
, Roshan Fernando, Yilun Hao, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 897-907 (2022) - [c5]Ruohan Zhang, Dhruva Bansal, Yilun Hao, Ayano Hiranaka, Jialu Gao, Chen Wang, Roberto Martín-Martín, Li Fei-Fei, Jiajun Wu:
A Dual Representation Framework for Robot Learning with Human Guidance. CoRL 2022: 738-750 - [c4]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. ICRA 2022: 469-476 - [i3]Zihan Wang, Zhangjie Cao, Yilun Hao, Dorsa Sadigh:
Weakly Supervised Correspondence Learning. CoRR abs/2203.00904 (2022) - [i2]Yilun Hao, Ruinan Wang, Zhangjie Cao, Zihan Wang, Yuchen Cui, Dorsa Sadigh:
Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. CoRR abs/2209.07682 (2022) - 2021
- [c3]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRL 2021: 363-372 - [c2]Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, Tajana Rosing:
Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing. ICCD 2021: 321-325 - [i1]Zhangjie Cao, Yilun Hao, Mengxi Li, Dorsa Sadigh:
Learning Feasibility to Imitate Demonstrators with Different Dynamics. CoRR abs/2110.15142 (2021) - 2020
- [c1]Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, Tajana Rosing:
Multi-label HD Classification in 3D Flash. VLSI-SOC 2020: 10-15
Coauthor Index
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