Tsung-Yen Yang

According to our database, Tsung-Yen Yang authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ransomware Detection by Distinguishing API Call Sequences through LSTM and BERT Models.

Tu-Liang Lin, Hong-Yi Chang, Yuan-Yao Chiang, Shu-Cheng Lin, Tsung-Yen Yang, Chun-Jun Zhuang, Wha-Lee Tseng, Bo-Hao Zhang

Comput. J., February, 2024

ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation.

Naoki Yokoyama, Alexander Clegg, Joanne Truong, Eric Undersander, Tsung-Yen Yang, Sergio Arnaud, Sehoon Ha, Dhruv Batra, Akshara Rai

IEEE Robotics Autom. Lett., January, 2024

2023

Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.

Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton

IEEE/ACM Trans. Netw., October, 2023

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots.

Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander William Clegg, Michal Hlavac, So Yeon Min, Vladimir Vondrus, Théophile Gervet, Vincent-Pierre Berges, John M. Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi

CoRR, 2023

HomeRobot: Open-Vocabulary Mobile Manipulation.

Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

2022

Learning Physics Constrained Dynamics Using Autoencoders.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Safe Reinforcement Learning for Legged Locomotion.

Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Leveraging Language for Accelerated Learning of Tool Manipulation.

Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2022

2021

Safe Reinforcement Learning with Natural Language Constraints.

Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

CoRR, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.

Tsung-Yen Yang, Karthik Narasimhan

CoRR, 2020

Projection-Based Constrained Policy Optimization.

Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge

Proceedings of the 8th International Conference on Learning Representations, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.

Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Predicting the Timing and Quality of Responses in Online Discussion Forums.

Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Active Learning for Student Affect Detection.

Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan

Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018

Predicting Learner Interactions in Social Learning Networks.

Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Predictive learning analytics for video-watching behavior in MOOCs.

Madhumitha Shridharan, Ashley Willingham, Jonathan C. Spencer, Tsung-Yen Yang, Christopher G. Brinton

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Learning Informative and Private Representations via Generative Adversarial Networks.

Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks.

Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong, Mung Chiang

IEEE J. Sel. Top. Signal Process., 2017

Behavior-Based Latent Variable Model for Learner Engagement.

Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang

Proceedings of the 10th International Conference on Educational Data Mining, 2017