Xi Yang

Orcid: 0000-0003-0026-9096

Affiliations:
  • North Carolina State University, Department of Computer Science, Raleigh, NC, USA


According to our database1, Xi Yang authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions.
CoRR, 2023

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent.
Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023

Hierarchical Apprenticeship Learning for Disease Progression Modeling.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling.
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.
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.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Student Subtyping via EM-Inverse Reinforcement Learning.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

2019
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Time-aware Adversarial Networks for Adapting Disease Progression Modeling.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Missing Data Imputation for MIMIC-III using Matrix Decomposition.
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.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018


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