Community-based game design: experiments on social games for commonsense data collection Y Kuo, JC Lee, K Chiang, R Wang, E Shen, C Chan, JY Hsu Proceedings of the acm sigkdd workshop on human computation, 15-22, 2009 | 105 | 2009 |
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas YL Kuo, B Katz, A Barbu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 55 | 2020 |
Learning a natural-language to LTL executable semantic parser for grounded robotics C Wang, C Ross, YL Kuo, B Katz, A Barbu Conference on Robot Learning (CoRL), 2020 | 40 | 2020 |
Mmtom-qa: Multimodal theory of mind question answering C Jin, Y Wu, J Cao, J Xiang, YL Kuo, Z Hu, T Ullman, A Torralba, ... arXiv preprint arXiv:2401.08743, 2024 | 30 | 2024 |
Deep compositional robotic planners that follow natural language commands YL Kuo, B Katz, A Barbu 2020 IEEE international conference on robotics and automation (ICRA), 4906-4912, 2020 | 29 | 2020 |
Deep sequential models for sampling-based planning YL Kuo, A Barbu, B Katz 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 27 | 2018 |
Social interactions as recursive mdps R Tejwani, YL Kuo, T Shu, B Katz, A Barbu Conference on Robot Learning, 949-958, 2022 | 25 | 2022 |
Reconstructing action-conditioned human-object interactions using commonsense knowledge priors X Wang, G Li, YL Kuo, M Kocabas, E Aksan, O Hilliges 2022 International Conference on 3D Vision (3DV), 353-362, 2022 | 24 | 2022 |
Compositional networks enable systematic generalization for grounded language understanding YL Kuo, B Katz, A Barbu arXiv preprint arXiv:2008.02742, 2020 | 24 | 2020 |
Trajectory prediction with linguistic representations YL Kuo, X Huang, A Barbu, SG McGill, B Katz, JJ Leonard, G Rosman 2022 International Conference on Robotics and Automation (ICRA), 2868-2875, 2022 | 22 | 2022 |
Contextual restaurant recommendation utilizing implicit feedback WT Kuo, YL Kuo, JY Hsu, RTH Tsai 人工知能学会全国大会論文集 第 26 回全国大会 (2012), 2012 | 17 | 2012 |
Goal-Oriented Knowledge Collection. YL Kuo, JY Hsu AAAI Fall Symposium: Commonsense Knowledge, 2010 | 11 | 2010 |
Summarize the past to predict the future: Natural language descriptions of context boost multimodal object interaction RG Pasca, A Gavryushin, YL Kuo, L Van Gool, O Hilliges, X Wang arXiv e-prints, arXiv: 2301.09209, 2023 | 9 | 2023 |
Incorporating rich social interactions into mdps R Tejwani, YL Kuo, T Shu, B Stankovits, D Gutfreund, JB Tenenbaum, ... 2022 International Conference on Robotics and Automation (ICRA), 7395-7401, 2022 | 9 | 2022 |
Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. YL Kuo, JY Hsu, F Shih HCOMP@ AAAI, 2012 | 9 | 2012 |
Resource-bounded crowd-sourcing of commonsense knowledge YL Kuo, JY Hsu IJCAI Proceedings-International Joint Conference on Artificial Intelligence …, 2011 | 8 | 2011 |
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. YL Kuo, JY Hsu Collaboratively-Built Knowledge Sources and AI, 2010 | 8 | 2010 |
Deep sequential models for sampling-based planning. In 2018 IEEE YL Kuo, A Barbu, B Katz RSJ International Conference on Intelligent Robots and Systems (IROS), 6490-6497, 0 | 7 | |
Muma-tom: Multi-modal multi-agent theory of mind H Shi, S Ye, X Fang, C Jin, L Isik, YL Kuo, T Shu arXiv preprint arXiv:2408.12574, 2024 | 6 | 2024 |
Compositional rl agents that follow language commands in temporal logic YL Kuo, B Katz, A Barbu Frontiers in Robotics and AI 8, 689550, 2021 | 6 | 2021 |