Yen-Ling Kuo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Natural Language

Question Answering

Semantic Parser

Social Interaction

Top Venues

Publications

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)
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)
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 (2024)
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)
Yen-Ling Kuo
Learning Representations for Robust Human-Robot Interaction. AAAI (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2023)
Mehrshad Mirmohammadi, Parham Saremi, Yen-Ling Kuo, Xi Wang
Reconstruction of 3D Interaction Models from Images using Shape Prior. ICCV (Workshops) (2023)
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 (2023)
Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR (2023)
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)
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
Trajectory Prediction with Linguistic Representations. ICRA (2022)
Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu
Quantifying the Emergence of Symbolic Communication. CogSci (2022)
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)
Xi Wang, Gen Li, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. CoRR (2022)
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)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. EMNLP (Findings) (2021)
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
Trajectory Prediction with Linguistic Representations. CoRR (2021)
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 (2021)
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)
Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu
Social Interactions as Recursive MDPs. CoRL (2021)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Compositional RL Agents That Follow Language Commands in Temporal Logic. Frontiers Robotics AI 8 (2021)
Yu-Siang Wang, Yen-Ling Kuo, Boris Katz
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. CoRR (2020)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Deep compositional robotic planners that follow natural language commands. CoRR (2020)
Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu
Learning a natural-language to LTL executable semantic parser for grounded robotics. CoRR (2020)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Deep compositional robotic planners that follow natural language commands. ICRA (2020)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. IROS (2020)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. CoRR (2020)
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)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. CoRR (2020)
Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, Yi-Chin Lee
MovIPrint: Move, Explore and Fabricate. ACM Multimedia (2019)
Yen-Ling Kuo, Boris Katz, Andrei Barbu
Deep compositional robotic planners that follow natural language commands. ViGIL@NeurIPS (2019)
Yen-Ling Kuo, Andrei Barbu, Boris Katz
Deep sequential models for sampling-based planning. CoRR (2018)
Yen-Ling Kuo, Andrei Barbu, Boris Katz
Deep Sequential Models for Sampling-Based Planning. IROS (2018)
Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh
MovISee. SIGGRAPH ASIA Art Gallery (2016)
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)
Yen-Ling Kuo, Jane Yung-jen Hsu, Fuming Shih
Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. HCOMP@AAAI (2012)
I-lung Tsai, Wan-rong Jih, Yen-Ling Kuo, Jane Yung-jen Hsu
Utilizing descriptive documents for adaptive and reconfigurable M2M systems. SOCA (2012)
Yen-Ling Kuo, Jane Yung-jen Hsu
Planning for Reasoning with Multiple Common Sense Knowledge Bases. ACM Trans. Interact. Intell. Syst. 2 (3) (2012)
Chien-Ju Ho, Yen-Ling Kuo, Jane Yung-jen Hsu
Multiagent environment design in human computation. AAMAS (2011)
Tao-Hsuan Chang, Yen-Ling Kuo, Jane Yung-jen Hsu
ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications. PRIMA (2011)
Yen-Ling Kuo, Jane Yung-jen Hsu
Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. IJCAI (2011)
Yen-Ling Kuo, Jane Yung-jen Hsu
Capability Modeling of Knowledge-Based Agents for Commonsense Knowledge Integration. PRIMA (2011)
Yen-Ling Kuo, Jane Yung-jen Hsu
Goal-Oriented Knowledge Collection. AAAI Fall Symposium: Commonsense Knowledge (2010)
Yen-Ling Kuo, Jane Yung-jen Hsu
Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. Collaboratively-Built Knowledge Sources and AI (2010)
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)