Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events. - Xi Yang 019; Yuan Zhang 028; Min Chi (IEEE BigData, 2018)

Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence. - Guojing Zhou; Xi Yang 019; Min Chi (CogSci, 2019)

Missing Data Imputation for MIMIC-III using Matrix Decomposition. - Xi Yang 019; Yeo-Jin Kim; Farzaneh Khoshnevisan; Yuan Zhang 028; Min Chi (ICHI, 2019)

Time-aware Adversarial Networks for Adapting Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (ICHI, 2019)

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (IJCAI, 2019)

Student Subtyping via EM-Inverse Reinforcement Learning. - Xi Yang 019; Guojing Zhou; Michelle Taub; Roger Azevedo; Min Chi (EDM, 2020)

PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems. - Xi Yang 019; Yeo-Jin Kim; Michelle Taub; Roger Azevedo; Min Chi (MMM (2), 2020)

Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. - Guojing Zhou; Xi Yang 019; Hamoon Azizsoltani; Tiffany Barnes; Min Chi (UMAP, 2020)

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. - Xi Yang 019; Yuan Zhang 028; Min Chi (IJCAI, 2021)

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. - Mark Abdelshiheed; John Wesley Hostetter; Xi Yang 019; Tiffany Barnes; Min Chi (AIED (1), 2022)

Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. - Song Ju; Xi Yang 019; Tiffany Barnes; Min Chi (AIED (1), 2022)

A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. - Ge Gao; Qitong Gao; Xi Yang 019; Miroslav Pajic; Min Chi (IJCAI, 2022)

Hierarchical Apprenticeship Learning for Disease Progression Modeling. - Xi Yang 019; Ge Gao; Min Chi (IJCAI, 2023)

XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. - John Wesley Hostetter; Cristina Conati; Xi Yang 019; Mark Abdelshiheed; Tiffany Barnes; Min Chi (IVA, 2023)

An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions. - Xi Yang 019; Ge Gao; Min Chi (CoRR, 2023)

Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. - Ge Gao; Xi Yang 019; Min Chi (AAAI, 2024)

A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies. - Md. Mirajul Islam; Xi Yang 019; John Wesley Hostetter; Adittya Soukarjya Saha; Min Chi (EDM, 2024)

On Trajectory Augmentations for Off-Policy Evaluation. - Ge Gao; Qitong Gao; Xi Yang 019; Song Ju; Miroslav Pajic; Min Chi (ICLR, 2024)

Off-Policy Selection for Initiating Human-Centric Experimental Design. - Ge Gao; Xi Yang 019; Qitong Gao; Song Ju; Miroslav Pajic; Min Chi (NeurIPS, 2024)

A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies. - Md. Mirajul Islam; Xi Yang 019; Rajesh Debnath; Adittya Shoukarjya Saha; Min Chi (AIED (3), 2025)