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Yen-Ling Kuo
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2020 – today
- 2024
- [c32]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI 2024: 530-537 - [c31]Yen-Ling Kuo:
Learning Representations for Robust Human-Robot Interaction. AAAI 2024: 22673 - [c30]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102 - [c29]Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. CVPR 2024: 18286-18296 - [c28]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. ETRA 2024: 1:1-1:6 - [c27]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. ETRA 2024: 12:1-12:9 - [i20]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024) - [i19]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. CoRR abs/2404.07347 (2024) - [i18]Süleyman Özdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci:
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. CoRR abs/2404.07351 (2024) - [i17]Nathan Cloos, Meagan Jens, Michelangelo Naim, Yen-Ling Kuo, Ignacio Cases, Andrei Barbu, Christopher J. Cueva:
Baba Is AI: Break the Rules to Beat the Benchmark. CoRR abs/2407.13729 (2024) - [i16]Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu:
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. CoRR abs/2408.12574 (2024) - [i15]Xuhui Kang, Yen-Ling Kuo:
Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. CoRR abs/2410.11013 (2024) - [i14]Sung-Wook Lee, Yen-Ling Kuo:
Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation. CoRR abs/2410.14868 (2024) - 2023
- [c26]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI 2023: 94-101 - [c25]Mehrshad Mirmohammadi, Parham Saremi, Yen-Ling Kuo, Xi Wang:
Reconstruction of 3D Interaction Models from Images using Shape Prior. ICCV (Workshops) 2023: 2133-2139 - [i13]Razvan-George Pasca, Alexey Gavryushin, Yen-Ling Kuo, Otmar Hilliges, Xi Wang:
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction. CoRR abs/2301.09209 (2023) - [i12]Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman:
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR abs/2305.17600 (2023) - [i11]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR abs/2308.11071 (2023) - 2022
- [b1]Yen-Ling Kuo:
Compositional Robot Learning for Generalizable Interactions. MIT, USA, 2022 - [c24]Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. 3DV 2022: 353-362 - [c23]Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Huai-Hsuan Liang, Yu-Ting Li:
Motion-centric Tools to Reflect on Digital Creative Experiences and Created Outputs. Creativity & Cognition 2022: 234-246 - [c22]Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu:
Quantifying the Emergence of Symbolic Communication. CogSci 2022 - [c21]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. ICRA 2022: 2868-2875 - [c20]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. ICRA 2022: 7395-7401 - [i10]Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges:
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. CoRR abs/2209.02485 (2022) - 2021
- [j2]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Compositional RL Agents That Follow Language Commands in Temporal Logic. Frontiers Robotics AI 8: 689550 (2021) - [c19]Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Yen-Yi Huang, Po-Lun Huang:
IntuModels: Enabling Interactive Modeling for the Novice through Idea Generation and Selection. Creativity & Cognition 2021: 26:1-26:10 - [c18]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu:
Social Interactions as Recursive MDPs. CoRL 2021: 949-958 - [c17]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. EMNLP (Findings) 2021: 216-226 - [i9]Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman:
Trajectory Prediction with Linguistic Representations. CoRR abs/2110.09741 (2021) - [i8]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. CoRR abs/2110.10298 (2021) - 2020
- [c16]Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Learning a natural-language to LTL executable semantic parser for grounded robotics. CoRL 2020: 1706-1718 - [c15]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Deep compositional robotic planners that follow natural language commands. ICRA 2020: 4906-4912 - [c14]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. IROS 2020: 5604-5610 - [i7]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Deep compositional robotic planners that follow natural language commands. CoRR abs/2002.05201 (2020) - [i6]Yu-Siang Wang, Yen-Ling Kuo, Boris Katz:
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. CoRR abs/2003.03716 (2020) - [i5]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. CoRR abs/2006.01110 (2020) - [i4]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. CoRR abs/2008.02742 (2020) - [i3]Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Learning a natural-language to LTL executable semantic parser for grounded robotics. CoRR abs/2008.03277 (2020)
2010 – 2019
- 2019
- [c13]Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Yi-Chin Lee:
MovIPrint: Move, Explore and Fabricate. ACM Multimedia 2019: 1151-1152 - [i2]Yen-Ling Kuo, Boris Katz, Andrei Barbu:
Deep compositional robotic planners that follow natural language commands. ViGIL@NeurIPS 2019 - 2018
- [c12]Yen-Ling Kuo, Andrei Barbu, Boris Katz:
Deep Sequential Models for Sampling-Based Planning. IROS 2018: 6490-6497 - [i1]Yen-Ling Kuo, Andrei Barbu, Boris Katz:
Deep sequential models for sampling-based planning. CoRR abs/1810.00804 (2018) - 2016
- [c11]Leeheng Ma, Yi-Ting Tsao, Yen-Ling Kuo, Jane Yung-jen Hsu:
Coupled Semi-Supervised Learning for Chinese Knowledge Extraction. AAAI Workshop: Knowledge Extraction from Text 2016 - [c10]Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh:
MovISee. SIGGRAPH ASIA Art Gallery 2016: 4:1 - 2012
- [j1]Yen-Ling Kuo, Jane Yung-jen Hsu:
Planning for Reasoning with Multiple Common Sense Knowledge Bases. ACM Trans. Interact. Intell. Syst. 2(3): 17:1-17:24 (2012) - [c9]Yen-Ling Kuo, Jane Yung-jen Hsu, Fuming Shih:
Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. HCOMP@AAAI 2012 - [c8]I-lung Tsai, Wan-rong Jih, Yen-Ling Kuo, Jane Yung-jen Hsu:
Utilizing descriptive documents for adaptive and reconfigurable M2M systems. SOCA 2012: 1-4 - 2011
- [c7]Chien-Ju Ho, Yen-Ling Kuo, Jane Yung-jen Hsu:
Multiagent environment design in human computation. AAMAS 2011: 1279-1280 - [c6]Yen-Ling Kuo, Jane Yung-jen Hsu:
Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. IJCAI 2011: 2470-2475 - [c5]Tao-Hsuan Chang, Yen-Ling Kuo, Jane Yung-jen Hsu:
ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications. PRIMA 2011: 234-246 - [c4]Yen-Ling Kuo, Jane Yung-jen Hsu:
Capability Modeling of Knowledge-Based Agents for Commonsense Knowledge Integration. PRIMA 2011: 299-310 - 2010
- [c3]Yen-Ling Kuo, Jane Yung-jen Hsu:
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. Collaboratively-Built Knowledge Sources and AI 2010 - [c2]Yen-Ling Kuo, Jane Yung-jen Hsu:
Goal-Oriented Knowledge Collection. AAAI Fall Symposium: Commonsense Knowledge 2010
2000 – 2009
- 2009
- [c1]Yen-Ling Kuo, Jong-Chuan Lee, Kai-yang Chiang, Rex Wang, Edward Shen, Cheng-wei Chan, Jane Yung-jen Hsu:
Community-based game design: experiments on social games for commonsense data collection. KDD Workshop on Human Computation 2009: 15-22
Coauthor Index
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last updated on 2024-11-28 21:27 CET by the dblp team
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