Xi Yang - RankMe

25 papers A* 7A 1B 4Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies. CoRR Md. Mirajul Islam, Xi Yang, Adittya Soukarjya Saha, Rajesh Debnath, Min Chi
2025	—	`conf`	A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies. AIED (3) Md. Mirajul Islam, Xi Yang, Rajesh Debnath, Adittya Shoukarjya Saha, Min Chi
2025	—	`conf`	THEMES: An Offline Apprenticeship Learning Framework for Evolving Reward Functions. KDD (2) Xi Yang, Md. Mirajul Islam, Ge Gao, Min Chi
2024	B	`conf`	A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies. EDM Md. Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi
2024	J	`jnl`	A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies. CoRR Md. Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi
2024	A*	`conf`	Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. AAAI Ge Gao, Xi Yang, Min Chi
2024	A*	`conf`	Off-Policy Selection for Initiating Human-Centric Experimental Design. NeurIPS Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
2024	J	`jnl`	Off-Policy Selection for Initiating Human-Centric Experimental Design. CoRR Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
2024	A*	`conf`	On Trajectory Augmentations for Off-Policy Evaluation. ICLR Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi
2023	J	`jnl`	An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions. CoRR Xi Yang, Ge Gao, Min Chi
2023	A*	`conf`	Hierarchical Apprenticeship Learning for Disease Progression Modeling. IJCAI Xi Yang, Ge Gao, Min Chi
2023	J	`jnl`	Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. CoRR Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi
2023	B	`conf`	XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. IVA John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2022	A*	`conf`	A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. IJCAI Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi
2022	—	`conf`	Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. AIED (1) Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi
2022	—	`conf`	Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. AIED (1) Song Ju, Xi Yang, Tiffany Barnes, Min Chi
2021	A*	`conf`	Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. IJCAI Xi Yang, Yuan Zhang, Min Chi
2020	A	`conf`	Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. UMAP Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
2020	—	`conf`	PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems. MMM (2) Xi Yang, Yeo-Jin Kim, Michelle Taub, Roger Azevedo, Min Chi
2020	B	`conf`	Student Subtyping via EM-Inverse Reinforcement Learning. EDM Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi
2019	A*	`conf`	ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. IJCAI Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi
2019	B	`conf`	Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence. CogSci Guojing Zhou, Xi Yang, Min Chi
2019	—	`conf`	Missing Data Imputation for MIMIC-III using Matrix Decomposition. ICHI Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi
2019	—	`conf`	Time-aware Adversarial Networks for Adapting Disease Progression Modeling. ICHI Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi
2018	—	`conf`	Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events. IEEE BigData Xi Yang, Yuan Zhang, Min Chi