Behavior-Based Latent Variable Model for Learner Engagement. - Andrew S. Lan; Christopher G. Brinton; Tsung-Yen Yang; Mung Chiang (EDM, 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)

Learning Informative and Private Representations via Generative Adversarial Networks. - Tsung-Yen Yang; Christopher G. Brinton; Prateek Mittal; Mung Chiang; Andrew S. Lan (IEEE BigData, 2018)

Predictive learning analytics for video-watching behavior in MOOCs. - Madhumitha Shridharan; Ashley Willingham; Jonathan C. Spencer; Tsung-Yen Yang; Christopher G. Brinton (CISS, 2018)

Predicting Learner Interactions in Social Learning Networks. - Tsung-Yen Yang; Christopher G. Brinton; Carlee Joe-Wong (INFOCOM, 2018)

Active Learning for Student Affect Detection. - Tsung-Yen Yang; Ryan S. Baker 001; Christoph Studer; Neil T. Heffernan; Andrew S. Lan (EDM, 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 (ICDCS, 2019)

Robust and Interpretable Grounding of Spatial References with Relation Networks. - Tsung-Yen Yang; Andrew S. Lan; Karthik Narasimhan (EMNLP (Findings), 2020)

Projection-Based Constrained Policy Optimization. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICLR, 2020)

Robust and Interpretable Grounding of Spatial References with Relation Networks. - Tsung-Yen Yang; Karthik Narasimhan (CoRR, 2020)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (CoRR, 2020)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICML, 2021)

Safe Reinforcement Learning with Natural Language Constraints. - Tsung-Yen Yang; Michael Y. Hu; Yinlam Chow; Peter J. Ramadge; Karthik Narasimhan (NeurIPS, 2021)

Leveraging Language for Accelerated Learning of Tool Manipulation. - Allen Z. Ren; Bharat Govil; Tsung-Yen Yang; Karthik R. Narasimhan; Anirudha Majumdar (CoRL, 2022)

Safe Reinforcement Learning for Legged Locomotion. - Tsung-Yen Yang; Tingnan Zhang; Linda Luu; Sehoon Ha; Jie Tan 001; Wenhao Yu 003 (IROS, 2022)

Learning Physics Constrained Dynamics Using Autoencoders. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (NeurIPS, 2022)

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; et al. (CoRL, 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., 2023)

Situated Instruction Following. - So Yeon Min; Xavier Puig; Devendra Singh Chaplot; Tsung-Yen Yang; Akshara Rai; Priyam Parashar; Ruslan Salakhutdinov; Yonatan Bisk; Roozbeh Mottaghi (ECCV (61), 2024)

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 Clegg; Michal Hlavac; So Yeon Min; Vladimir Vondrus; Théophile Gervet; et al. (ICLR, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (CoRR, 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., 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., 2024)

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks. - Matthew Chang; Gunjan Chhablani; Alexander Clegg; Mikael Dallaire Cote; Ruta Desai; Michal Hlavac; Vladimir Karashchuk; Jacob Krantz; Roozbeh Mottaghi; Priyam Parashar; Siddharth Patki; Ishita Prasad; et al. (ICLR, 2025)