Xi Yang

According to our database, Xi Yang authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

Off-Policy Selection for Initiating Human-Centric Experimental Design.

Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi

CoRR, 2024

On Trajectory Augmentations for Off-Policy Evaluation.

Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies.

Md Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring.

Ge Gao, Xi Yang, Min Chi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions.

Xi Yang, Ge Gao, Min Chi

CoRR, 2023

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent.

John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023

Hierarchical Apprenticeship Learning for Disease Progression Modeling.

Xi Yang, Ge Gao, Min Chi

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification.

Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning.

Song Ju, Xi Yang, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer.

Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling.

Xi Yang, Yuan Zhang, Min Chi

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.

Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems.

Xi Yang, Yeo-Jin Kim, Michelle Taub, Roger Azevedo, Min Chi

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Student Subtyping via EM-Inverse Reinforcement Learning.

Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi

Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling.

Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Time-aware Adversarial Networks for Adapting Disease Progression Modeling.

Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Missing Data Imputation for MIMIC-III using Matrix Decomposition.

Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence.

Guojing Zhou, Xi Yang, Min Chi

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events.

Xi Yang, Yuan Zhang, Min Chi

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