Recent Papers |
Commonsense & Crowdsourcing |
Art & Design
Recent Papers
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Trajectory Prediction with Linguistic Representations.
[arxiv]
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, and Guy Rosman.
Under review.
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Incorporating Rich Social Interactions Into MDPs.
[arxiv]
Ravi Tejwani*, Yen-Ling Kuo*, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, and Andrei Barbu.
(* equal contribution)
Under review.
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Compositional Networks Enable Systematic Generalization for Grounded Language Understanding.
[arxiv]
Yen-Ling Kuo, Boris Katz, and Andrei Barbu.
In Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), November 2021.
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Social Interactions as Recursive MDPs.
[pdf]
Ravi Tejwani*, Yen-Ling Kuo*, Tianmin Shu, Boris Katz, and Andrei Barbu.
(* equal contribution)
In Proceedings of Conference on Robot Learning (CoRL-2021), November 2021.
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Compositional RL Agents that Follow Language Commands in Temporal Logic.
[article]
Yen-Ling Kuo, Boris Katz, and Andrei Barbu.
Frontiers in Robotics and AI – Robot and Machine Vision, July 2021.
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Toward Modeling the Emergence of Symbolic Communication.
[pdf]
Emily Cheng, Yen-Ling Kuo, Ignacio Cases, Boris Katz, and Andrei Barbu.
In ICRA Workshop on Social Intelligence in Humans and Robots, June 2021.
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Learning a Natural-language to LTL Executable Semantic Parser for Grounded Robotics.
[arxiv]
Christopher Wang, Candace Ross, Yen-Ling Kuo, Boris Katz, and Andrei Barbu.
In Proceedings of Conference on Robot Learning (CoRL-2020), October 2020.
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Encoding Formulas as Deep Networks: Reinforcement Learning from Zero-shot Execution of LTL Formulas.
[arxiv]
Yen-Ling Kuo, Boris Katz, and Andrei Barbu.
In Proceedings of 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 2020.
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Deep Compositional Robotic Planners that Follow Natural Language Commands.
[arxiv]
Yen-Ling Kuo, Boris Katz, and Andrei Barbu.
In Proceeding of 2020 International Conference on Robotics and Automation (ICRA-2020), June 2020.
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Deep Sequential Models for Sampling-based Planning.
[arxiv]
Yen-Ling Kuo, Andrei Barbu, and Boris Katz.
In Proceedings of 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2018), October 2018.
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Debugging Probabilistic Programs: Lessons from Debugging Research.
Henry Lieberman, Yen-Ling Kuo, Valeria Staneva.
In Proceedings of the International Conference on Probabilistic Programming (PROBPROG-2018), October 2018.
Commonsense Knowledge & Crowdsourcing
Journal Paper
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Planning for Reasoning with Multiple Common Sense Knowledge Bases.
[pdf]
[presentation in IUI-2013]
Yen-Ling Kuo and Jane Yung-jen Hsu.
ACM Transactions on Interactive Intelligent Systems (TiiS-2012), Vol. 2, No. 3, Article 17, pp. 1-24, September 2012.
Conference Papers
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Capability Modeling of Knowledge-based Agents for Commonsense Knowledge Integration.
[pdf]
Yen-Ling Kuo, and Jane Yung-jen Hsu.
In Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2011), pp. 299-310, November 2011.
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Resource-bounded Crowd-sourcing of Commonsense Knowledge.
[pdf]
[poster]
Yen-Ling Kuo and Jane Yung-jen Hsu.
In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-2011), pp. 2470-2475, July 2011.
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Unsupervised Sense Clustering of Related Chinese Words.
[pdf]
Chia-Ling Lee, Yen-Ling Kuo, Chia-Mau Ni, Yu-Ju Chen, Chao-Lin Liu, and Jane Yung-jen Hsu.
In Proceedings of the 27th Annual Meeting of Japanese Society for Artificial Intelligence, pp. 4-7, June 2013.
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Utilizing Descriptive Documents for Adaptive and Reconfigurable M2M Systems.
[pdf]
I-lung Tsai, Wan-rong Jih, Yen-Ling Kuo, Jane Yung-jen Hsu, and Richard Tzong-han Tsai.
In Proceedings of the 5th IEEE International Conference on Service Oriented Computing & Applications (SOCA-2012), pp. 1-4, 17-19, December 2012.
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Scenario-based Configuration Agents for M2M Applications.
[pdf]
I-lung Tsai, Wan-rong Jih, Yen-Ling Kuo, Jane Yung-jen Hsu, and Richard Tzong-han Tsai.
In Proceedings of the 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI-2012), November 2012.
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Contextual Restaurant Recommendation Utilizing Implicit Feedback.
[pdf]
Wei-Ti Kuo, Yen-Ling Kuo, Jane Yung-jen Hsu, and Richard Tzong-han Tsai.
In Proceedings of the 26th Annual Conference of Japanese Society for Artificial Intelligence, June 2012.
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ACTraversal: Graph Traversal for Ranking Commonsense Assertions and Certifications.
[pdf]
Tao-Hsuan Chang, Yen-Ling Kuo, and Jane Yung-jen Hsu.
In Proceedings of the 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA-2011), pp. 234-246, November 2011.
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Multiagent Environment Design in Human Computation.
[pdf]
[poster]
Chien-Ju Ho, Yen-Ling Kuo, and Jane Yung-jen Hsu.
In Proceedings of the Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2011), pp. 1279-1280, May 2011.
Workshop Papers
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Coupled Semi-Supervised Learning for Chinese Knowledge Extraction.
Leeheng Ma, Yi-Ting Tsao, Yen-Ling Kuo, and Jane Yung-jen Hsu.
In 2016 AAAI Workshop on Knowledge Extraction from Text (KET-2016), February 2016.
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Contextual Commonsense Knowledge Acquisition from Social Content by Crowd-sourcing Explanations.
[pdf]
Yen-Ling Kuo, Jane Yung-jen Hsu, and Fuming Shih.
In Proceedings of the 4th Human Computation Workshop (HCOMP-2012), pp. 18-24, July 2012.
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Environment Design in Human Computation.
[pdf]
Chien-Ju Ho, Yen-Ling Kuo, and Jane Yung-jen Hsu.
In 2010 NIPS Workshop on Computational Social Science and the Wisdom of Crowds (CSS-2010), December 2010.
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Goal-oriented Knowledge Collection.
[pdf]
Yen-Ling Kuo and Jane Yung-jen Hsu.
In Proceedings of the 2010 AAAI Fall Symposium Series on Common Sense Knowledge (CSK-2010), pp. 64-69, November 2010.
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Bridging Common Sense Knowledge Bases with Analogy by Graph Similarity.
[pdf]
Yen-Ling Kuo and Jane Yung-jen Hsu.
In 2010 AAAI Workshop on Collaboratively-Built Knowledge Sources and Artificial Intelligence (WikiAI-2010), pp. 20-25, July 2010.
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Community-based Game Design: Experiments on Social Games for Commonsense Data Collection.
[pdf]
Yen-Ling Kuo, Kai-yang Chiang, Cheng-wei Chan, Jong-Chuan Lee, Rex Wang, Edward Shen, and Jane Yung-jen Hsu.
In KDD-09 Workshop on Human Computation (HCOMP-2009), pp. 15-22, June 2009.
Art & Design
Conference Papers
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IntuModels: Enabling Interactive Modeling for the Novice through Idea Generation and Selection.
[pdf]
Yen-Ting Cho, Yen-Ling Kuo*, Yen-Ting Yeh*, Yen-Yi Huang, Po-Lun Huang.
(* equal contribution)
In Proceedings of Creativity and Cognition (C&C), June 2021.
Best Paper Honorable Mention
Art Gallery
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MovIPrint: move, explore and fabricate.
[pdf]
Yen-Ting Cho, Yen-Ling Kuo, Yen-Ting Yeh, and Yi-Chin Lee.
In Proceedings of the 27th ACM International Conference on Multimedia (MM-2019), October 2019.
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MovISee.
[pdf]
Yen-Ting Cho, Yen-Ling Kuo, and Yen-Ting Yeh.
IIn SIGGRAPH ASIA 2016 Art Gallery (SA-16), December 2016.