| 2025 | AAAI | MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. | Haojun Shi, Suyu Ye, Xinyu Fang, Chuanyang Jin, Leyla Isik, Yen-Ling Kuo, Tianmin Shu |
| 2025 | CVPR | Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging. | Bo Wang, Dingwei Tan, Yen-Ling Kuo, Zhaowei Sun, Jeremy M. Wolfe, Tat-Jen Cham, Mengmi Zhang |
| 2025 | ICCV | Exploring Human-Model Alignment in Visual Social Attention During Help-and-Hinder Social Interaction Classification. | Lucia Schiatti, Guido Vallarino, Sabrina M. Lopez, Yen-Ling Kuo, Matteo Moro, Mengmi Zhang, Monica Gori, Alessio Del Bue, Boris Katz, Andrei Barbu |
| 2025 | ICIAP | A Pilot Study Exploring the Alignment of Humans and CNN During Perception of Social Interactions. | Guido Vallarino, Lucia Schiatti, Matteo Moro, Yen-Ling Kuo, Mengmi Zhang, Monica Gori, Boris Katz, Andrei Barbu, Alessio Del Bue |
| 2025 | ICRA | Diff-Dagger: Uncertainty Estimation With Diffusion Policy for Robotic Manipulation. | Sung-Wook Lee, Xuhui Kang, Yen-Ling Kuo |
| 2025 | WACV | Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. | Xuhui Kang, Yen-Ling Kuo |
| 2024 | AAAI | Neural Amortized Inference for Nested Multi-Agent Reasoning. | Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | AAAI | Learning Representations for Robust Human-Robot Interaction. | Yen-Ling Kuo |
| 2024 | ACL | MMToM-QA: Multimodal Theory of Mind Question Answering. | Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu |
| 2024 | CVPR | Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation. | Razvan-George Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang |
| 2024 | ECCV | ROMEO: Revisiting Optimization Methods for Reconstructing 3D Human-Object Interaction Models From Images. | Alexey Gavryushin, Yifei Liu, Daoji Huang, Yen-Ling Kuo, Julien Valentin, Luc Van Gool, Otmar Hilliges, Xi Wang |
| 2024 | ETRA | A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. | Sleyman zdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci |
| 2024 | ETRA | Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. | Sleyman zdel, Yao Rong, Berat Mert Albaba, Yen-Ling Kuo, Xi Wang, Enkelejda Kasneci |
| 2023 | AAAI | Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2022 | CogSci | Quantifying the Emergence of Symbolic Communication. | Emily Cheng, Yen-Ling Kuo, Josefina Correa, Boris Katz, Ignacio Cases, Andrei Barbu |
| 2022 | ICRA | Trajectory Prediction with Linguistic Representations. | Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman |
| 2022 | ICRA | Incorporating Rich Social Interactions Into MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu |
| 2021 | CoRL | Social Interactions as Recursive MDPs. | Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Boris Katz, Andrei Barbu |
| 2021 | EMNLP | Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. | Yen-Ling Kuo, Boris Katz, Andrei Barbu |
| 2020 | CoRL | Learning a natural-language to LTL executable semantic parser for grounded robotics. | Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, Andrei Barbu |
| 2020 | ICRA | Deep compositional robotic planners that follow natural language commands. | Yen-Ling Kuo, Boris Katz, Andrei Barbu |
| 2020 | IROS | Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. | Yen-Ling Kuo, Boris Katz, Andrei Barbu |
| 2018 | IROS | Deep Sequential Models for Sampling-Based Planning. | Yen-Ling Kuo, Andrei Barbu, Boris Katz |
| 2016 | AAAI | Coupled Semi-Supervised Learning for Chinese Knowledge Extraction. | Leeheng Ma, Yi-Ting Tsao, Yen-Ling Kuo, Jane Yung-jen Hsu |
| 2016 | SIGGRAPH | MovISee. | Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh |
| 2012 | HCOMP | Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. | Yen-Ling Kuo, Jane Yung-jen Hsu, Fuming Shih |
| 2011 | IJCAI | Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. | Yen-Ling Kuo, Jane Yung-jen Hsu |
| 2011 | PRIMA | ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications. | Tao-Hsuan Chang, Yen-Ling Kuo, Jane Yung-jen Hsu |
| 2011 | PRIMA | Capability Modeling of Knowledge-Based Agents for Commonsense Knowledge Integration. | Yen-Ling Kuo, Jane Yung-jen Hsu |
| 2010 | AAAI | Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. | Yen-Ling Kuo, Jane Yung-jen Hsu |
| 2009 | KDD | Community-based game design: experiments on social games for commonsense data collection. | Yen-Ling Kuo, Jong-Chuan Lee, Kai-yang Chiang, Rex Wang, Edward Shen, Cheng-wei Chan, Jane Yung-jen Hsu |