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Tsung-Yen Yang
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2020 – today
- 2023
- [i7]Rajeev Sahay, Serena Nicoll, Minjun Zhang, Tsung-Yen Yang, Carlee Joe-Wong, Kerrie A. Douglas, Christopher G. Brinton:
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach. CoRR abs/2301.01606 (2023) - 2022
- [c12]Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRL 2022: 1531-1541 - [c11]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [i6]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. CoRR abs/2203.02638 (2022) - [i5]Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik Narasimhan, Anirudha Majumdar:
Leveraging Language for Accelerated Learning of Tool Manipulation. CoRR abs/2206.13074 (2022) - 2021
- [c10]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. ICML 2021: 11795-11807 - [c9]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. NeurIPS 2021: 13794-13808 - 2020
- [c8]Tsung-Yen Yang, Andrew S. Lan, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. EMNLP (Findings) 2020: 1908-1923 - [c7]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. ICLR 2020 - [i4]Tsung-Yen Yang, Karthik Narasimhan:
Robust and Interpretable Grounding of Spatial References with Relation Networks. CoRR abs/2005.00696 (2020) - [i3]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. CoRR abs/2006.11645 (2020) - [i2]Tsung-Yen Yang, Justinian Rosca, Karthik Narasimhan, Peter J. Ramadge:
Projection-Based Constrained Policy Optimization. CoRR abs/2010.03152 (2020) - [i1]Tsung-Yen Yang, Michael Y. Hu, Yinlam Chow, Peter J. Ramadge, Karthik Narasimhan:
Safe Reinforcement Learning with Natural Language Constraints. CoRR abs/2010.05150 (2020)
2010 – 2019
- 2019
- [c6]Tsung-Yen Yang, Ryan S. Baker, Christoph Studer, Neil T. Heffernan, Andrew S. Lan:
Active Learning for Student Affect Detection. EDM 2019 - [c5]Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan:
Predicting the Timing and Quality of Responses in Online Discussion Forums. ICDCS 2019: 1931-1940 - 2018
- [c4]Tsung-Yen Yang, Christopher G. Brinton, Prateek Mittal, Mung Chiang, Andrew S. Lan:
Learning Informative and Private Representations via Generative Adversarial Networks. IEEE BigData 2018: 1534-1543 - [c3]Madhumitha Shridharan, Ashley Willingham, Jonathan C. Spencer, Tsung-Yen Yang, Christopher G. Brinton:
Predictive learning analytics for video-watching behavior in MOOCs. CISS 2018: 1-6 - [c2]Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong:
Predicting Learner Interactions in Social Learning Networks. INFOCOM 2018: 1322-1330 - 2017
- [j1]Tsung-Yen Yang, Christopher G. Brinton
, Carlee Joe-Wong, Mung Chiang:
Behavior-Based Grade Prediction for MOOCs Via Time Series Neural Networks. IEEE J. Sel. Top. Signal Process. 11(5): 716-728 (2017) - [c1]Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang:
Behavior-Based Latent Variable Model for Learner Engagement. EDM 2017
Coauthor Index

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last updated on 2023-03-16 22:58 CET by the dblp team
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