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 (KDD Workshop on Human Computation, 2009)

Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity. - Yen-Ling Kuo; Jane Yung-jen Hsu (Collaboratively-Built Knowledge Sources and AI, 2010)

Goal-Oriented Knowledge Collection. - Yen-Ling Kuo; Jane Yung-jen Hsu (AAAI Fall Symposium: Commonsense Knowledge, 2010)

Multiagent environment design in human computation. - Chien-Ju Ho; Yen-Ling Kuo; Jane Yung-jen Hsu (AAMAS, 2011)

Resource-Bounded Crowd-Sourcing of Commonsense Knowledge. - Yen-Ling Kuo; Jane Yung-jen Hsu (IJCAI, 2011)

ACTraversal: Ranking Crowdsourced Commonsense Assertions and Certifications. - Tao-Hsuan Chang; Yen-Ling Kuo; Jane Yung-jen Hsu (PRIMA, 2011)

Capability Modeling of Knowledge-Based Agents for Commonsense Knowledge Integration. - Yen-Ling Kuo; Jane Yung-jen Hsu (PRIMA, 2011)

Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-Sourcing Explanations. - Yen-Ling Kuo; Jane Yung-jen Hsu; Fuming Shih (HCOMP@AAAI, 2012)

Utilizing descriptive documents for adaptive and reconfigurable M2M systems. - I-lung Tsai; Wan-rong Jih; Yen-Ling Kuo; Jane Yung-jen Hsu (SOCA, 2012)

Planning for Reasoning with Multiple Common Sense Knowledge Bases. - Yen-Ling Kuo; Jane Yung-jen Hsu (ACM Trans. Interact. Intell. Syst., 2012)

Coupled Semi-Supervised Learning for Chinese Knowledge Extraction. - Leeheng Ma; Yi-Ting Tsao; Yen-Ling Kuo; Jane Yung-jen Hsu (AAAI Workshop: Knowledge Extraction from Text, 2016)

MovISee. - Yen-Ting Cho; Yen-Ling Kuo; Yen-Ting Yeh 001 (SIGGRAPH ASIA Art Gallery, 2016)

Deep Sequential Models for Sampling-Based Planning. - Yen-Ling Kuo; Andrei Barbu; Boris Katz (IROS, 2018)

MovIPrint: Move, Explore and Fabricate. - Yen-Ting Cho; Yen-Ling Kuo; Yen-Ting Yeh 001; Yi-Chin Lee (ACM Multimedia, 2019)

Deep compositional robotic planners that follow natural language commands. - Yen-Ling Kuo; Boris Katz; Andrei Barbu (ViGIL@NeurIPS, 2019)

Learning a natural-language to LTL executable semantic parser for grounded robotics. - Christopher Wang; Candace Ross; Yen-Ling Kuo; Boris Katz; Andrei Barbu (CoRL, 2020)

Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas. - Yen-Ling Kuo; Boris Katz; Andrei Barbu (IROS, 2020)

Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach. - Yu-Siang Wang; Yen-Ling Kuo; Boris Katz (CoRR, 2020)

IntuModels: Enabling Interactive Modeling for the Novice through Idea Generation and Selection. - Yen-Ting Cho; Yen-Ling Kuo; Yen-Ting Yeh 001; Yen-Yi Huang; Po-Lun Huang (Creativity & Cognition, 2021)

Social Interactions as Recursive MDPs. - Ravi Tejwani; Yen-Ling Kuo; Tianmin Shu; Boris Katz; Andrei Barbu (CoRL, 2021)

Compositional Networks Enable Systematic Generalization for Grounded Language Understanding. - Yen-Ling Kuo; Boris Katz; Andrei Barbu (EMNLP (Findings), 2021)

Compositional RL Agents That Follow Language Commands in Temporal Logic. - Yen-Ling Kuo; Boris Katz; Andrei Barbu (Frontiers Robotics AI, 2021)

Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors. - Xi Wang 021; Gen Li 010; Yen-Ling Kuo; Muhammed Kocabas; Emre Aksan; Otmar Hilliges (3DV, 2022)

Motion-centric Tools to Reflect on Digital Creative Experiences and Created Outputs. - Yen-Ting Cho; Yen-Ling Kuo; Yen-Ting Yeh 001; Huai-Hsuan Liang; Yu-Ting Li (Creativity & Cognition, 2022)

Quantifying the Emergence of Symbolic Communication. - Emily Cheng; Yen-Ling Kuo; Josefina Correa; Boris Katz; Ignacio Cases; Andrei Barbu (CogSci, 2022)

Trajectory Prediction with Linguistic Representations. - Yen-Ling Kuo; Xin Huang 018; Andrei Barbu; Stephen G. McGill; Boris Katz; John J. Leonard; Guy Rosman (ICRA, 2022)

Incorporating Rich Social Interactions Into MDPs. - Ravi Tejwani; Yen-Ling Kuo; Tianmin Shu; Bennett Stankovits; Dan Gutfreund; Joshua B. Tenenbaum; Boris Katz; Andrei Barbu (ICRA, 2022)

Compositional Robot Learning for Generalizable Interactions - Yen-Ling Kuo (2022)

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 (AAAI, 2023)

Reconstruction of 3D Interaction Models from Images using Shape Prior. - Mehrshad Mirmohammadi; Parham Saremi; Yen-Ling Kuo; Xi Wang (ICCV (Workshops), 2023)

Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction. - Razvan-George Pasca; Alexey Gavryushin; Yen-Ling Kuo; Otmar Hilliges; Xi Wang 021 (CoRR, 2023)

GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. - Justin Lidard; Oswin So; Yanxia Zhang; Jonathan A. DeCastro; Xiongyi Cui; Xin Huang 018; Yen-Ling Kuo; John J. Leonard; Avinash Balachandran; Naomi Ehrich Leonard; Guy Rosman (CoRR, 2023)

Neural Amortized Inference for Nested Multi-Agent Reasoning. - Kunal Jha; Tuan Anh Le 001; Chuanyang Jin; Yen-Ling Kuo; Joshua B. Tenenbaum; Tianmin Shu (AAAI, 2024)

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 001; Joshua B. Tenenbaum; Tianmin Shu (ACL (1), 2024)

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 021 (CVPR, 2024)

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 021 (ECCV Workshops (13), 2024)

A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Gaze-Guided Graph Neural Network for Action Anticipation Conditioned on Intention. - Süleyman Özdel; Yao Rong; Berat Mert Albaba; Yen-Ling Kuo; Xi Wang 021; Enkelejda Kasneci (ETRA, 2024)

Learning representations for robust human-robot interaction. - Yen-Ling Kuo (AI Mag., 2024)

Baba Is AI: Break the Rules to Beat the Benchmark. - Nathan Cloos; Meagan Jens; Michelangelo Naim; Yen-Ling Kuo; Ignacio Cases; Andrei Barbu; Christopher J. Cueva (CoRR, 2024)

Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation. - Sung-Wook Lee; Yen-Ling Kuo (CoRR, 2024)

Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision Tasks. - Jie Jing 001; Qing Lin; Shuangpeng Han; Lucia Schiatti; Yen-Ling Kuo; Mengmi Zhang (CoRR, 2024)

MuMA-ToM: Multi-modal Multi-Agent Theory of Mind. - Haojun Shi; Suyu Ye; Xinyu Fang; Chuanyang Jin; Leyla Isik; Yen-Ling Kuo; Tianmin Shu (AAAI, 2025)

Towards Physically-grounded Human-AI Collaboration. - Xuhui Kang; Yen-Ling Kuo (AAAI Spring Symposia, 2025)

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 (CVPR, 2025)

Incorporating Task Progress Knowledge for Subgoal Generation in Robotic Manipulation through Image Edits. - Xuhui Kang; Yen-Ling Kuo (WACV, 2025)

CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models. - Varun Reddy; Yen-Ling Kuo (CoRR, 2025)

Moving Out: Physically-grounded Human-AI Collaboration. - Xuhui Kang; Sung-Wook Lee; Haolin Liu; Yuyan Wang; Yen-Ling Kuo (CoRR, 2025)

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation. - Sung-Wook Lee; Xuhui Kang; Brandon Yang; Yen-Ling Kuo (CoRR, 2025)