Tsung-Yen Yang

Orcid: 0000-0002-1441-5325

According to our database1, Tsung-Yen Yang authored at least 23 papers between 2017 and 2024.

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Bibliography

2024
Ransomware Detection by Distinguishing API Call Sequences through LSTM and BERT Models.
Comput. J., February, 2024

ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett., January, 2024

Situated Instruction Following.
CoRR, 2024

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge.
CoRR, 2024


2023
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach.
IEEE/ACM Trans. Netw., October, 2023


2022
Learning Physics Constrained Dynamics Using Autoencoders.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Leveraging Language for Accelerated Learning of Tool Manipulation.
Proceedings of the Conference on Robot Learning, 2022

2021
Safe Reinforcement Learning with Natural Language Constraints.
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.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies.
CoRR, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.
CoRR, 2020

Projection-Based Constrained Policy Optimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Robust and Interpretable Grounding of Spatial References with Relation Networks.
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.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Active Learning for Student Affect Detection.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

2018
Predicting Learner Interactions in Social Learning Networks.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Predictive learning analytics for video-watching behavior in MOOCs.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

Learning Informative and Private Representations via Generative Adversarial Networks.
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.
IEEE J. Sel. Top. Signal Process., 2017

Behavior-Based Latent Variable Model for Learner Engagement.
Proceedings of the 10th International Conference on Educational Data Mining, 2017


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