Min Chi - RankMe

178 papers A* 20A 18B 48Journal 51Unranked 40

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
2026	J	`jnl`	Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System. CoRR Sutapa Dey Tithi, Nazia Alam, Tahreem Yasir, Yang Shi, Xiaoyi Tian, Min Chi, Tiffany Barnes
2026	A*	`conf`	Exploring the Design and Impact of Interactive Worked Examples for Learners with Varying Prior Knowledge. CHI Sutapa Dey Tithi, Xiaoyi Tian, Ally Limke, Min Chi, Tiffany Barnes
2026	J	`jnl`	Exploring the Design and Impact of Interactive Worked Examples for Learners with Varying Prior Knowledge. CoRR Sutapa Dey Tithi, Xiaoyi Tian, Ally Limke, Min Chi, Tiffany Barnes
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	J	`jnl`	Attention-Based Reward Shaping for Sparse and Delayed Rewards. CoRR Ian Holmes, Min Chi
2025	—	`conf`	Determining Problem Type Using Deep Reinforcement Learning in a Data-Driven Intelligent Tutor. AIED (6) Nazia Alam, Kimia Fazeli, Xiaoyi Tian, Min Chi, Tiffany Barnes
2025	J	`jnl`	FoodRL: A Reinforcement Learning Ensembling Framework For In-Kind Food Donation Forecasting. CoRR Esha Sharma, Lauren B. Davis, Julie S. Ivy, Min Chi
2025	J	`jnl`	Gradient-Based Neuroplastic Adaptation for Concurrent Optimization of Neuro-Fuzzy Networks. CoRR John Wesley Hostetter, Min Chi
2025	A*	`conf`	Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments. IJCAI John Wesley Hostetter, Adittya Soukarjya Saha, Md. Mirajul Islam, Tiffany Barnes, Min Chi
2025	J	`jnl`	Investigating the Impact and Student Perceptions of Guided Parsons Problems for Learning Logic with Subgoals. CoRR Sutapa Dey Tithi, Xiaoyi Tian, Min Chi, Tiffany Barnes
2025	A*	`conf`	Iterative Counterfactual Data Augmentation. AAAI Mitchell Plyler, Min Chi
2025	J	`jnl`	Iterative Counterfactual Data Augmentation. CoRR Mitchell Plyler, Min Chi
2025	B	`conf`	MEAL-RL: Population Collection and Temporal Aggregation Reinforcement Learning Strategies for Metalearning Food Donations. IEEE Big Data Esha Sharma, Lauren B. Davis, Julie S. Ivy, 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	B	`conf`	Evaluating Multi-Knowledge Component Interpretability of Deep Knowledge Tracing Models in Programming. EDM Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2024	J	`jnl`	Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners. User Model. User Adapt. Interact. Mark Abdelshiheed, Robert Moulder, John Wesley Hostetter, Tiffany Barnes, 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	B	`conf`	How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor. EDM Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
2024	J	`jnl`	How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer Across Intelligent Tutoring Systems. Int. J. Artif. Intell. Educ. Mark Abdelshiheed, Tiffany Barnes, Min Chi
2024	J	`jnl`	Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. Int. J. Artif. Intell. Educ. Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes
2024	B	`conf`	More, May not the Better: Insights from Applying Deep Reinforcement Learning for Pedagogical Policy Induction. EDM Gyuhun Jung, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2024	A*	`conf`	Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction. IJCAI Hyunwoo Sohn, Kyungjin Park, Baekkwan Park, 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	A	`conf`	A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. AAMAS John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2023	—	`conf`	A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. AIED (Posters/Late Breaking Results/...) Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2023	J	`jnl`	An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions. CoRR Xi Yang, Ge Gao, Min Chi
2023	J	`jnl`	Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR Mark Abdelshiheed, Mehak Maniktala, Tiffany Barnes, Min Chi
2023	B	`conf`	Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CogSci Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
2023	J	`jnl`	Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CoRR Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
2023	A*	`conf`	Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes
2023	J	`jnl`	Enhancing a student productivity model for adaptive problem-solving assistance. User Model. User Adapt. Interact. Mehak Maniktala, Min Chi, Tiffany Barnes
2023	—	`conf`	Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. AIED (Posters/Late Breaking Results/...) Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes
2023	A	`conf`	HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. AAMAS Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
2023	J	`jnl`	HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. CoRR Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
2023	J	`jnl`	Healthful Connected Living: Vision and Challenges for the Case of Obesity. IEEE Internet Comput. Munindar P. Singh, Min Chi, Veena Misra
2023	A*	`conf`	Hierarchical Apprenticeship Learning for Disease Progression Modeling. IJCAI Xi Yang, Ge Gao, Min Chi
2023	A	`conf`	Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. AIED Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes
2023	B	`conf`	KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
2023	—	`conf`	Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces. FUZZ John Wesley Hostetter, Min Chi
2023	B	`conf`	Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. EDM Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
2023	A	`conf`	Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. AIED Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
2023	J	`jnl`	Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems. CoRR Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
2023	—	`conf`	Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems. FUZZ John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2023	J	`jnl`	Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR Mark Abdelshiheed, Guojing Zhou, Mehak Maniktala, Tiffany Barnes, 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	A*	`conf`	Off-Policy Evaluation for Human Feedback. NeurIPS Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	J	`jnl`	Off-Policy Evaluation for Human Feedback. CoRR Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
2023	J	`jnl`	Preparing Unprepared Students For Future Learning. CoRR Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
2023	J	`jnl`	TC-DTW: Accelerating multivariate dynamic time warping through triangle inequality and point clustering. Inf. Sci. Daniel S. Shen, Min Chi
2023	J	`jnl`	The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. Int. J. Artif. Intell. Educ. Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2023	J	`jnl`	The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CoRR Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
2023	J	`jnl`	Time-aware deep reinforcement learning with multi-temporal abstraction. Appl. Intell. Yeo Jin Kim, Min Chi
2023	—	`conf`	Trace Augmentation with Missing EHRs for Sepsis Treatments. ICHI Ge Gao, Min Chi
2023	A*	`conf`	Variational Latent Branching Model for Off-Policy Evaluation. ICLR Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
2023	J	`jnl`	Variational Latent Branching Model for Off-Policy Evaluation. CoRR Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
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	J	`jnl`	A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. CoRR Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes
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	B	`conf`	Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. EDM Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2022	J	`jnl`	Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. CoRR Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
2022	A*	`conf`	Cross-Lingual Adversarial Domain Adaptation for Novice Programming. AAAI Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
2022	J	`jnl`	Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance. CoRR Mehak Maniktala, Min Chi, Tiffany Barnes
2022	J	`jnl`	Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving. CoRR Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes
2022	J	`jnl`	Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Int. J. Artif. Intell. Educ. Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2022	J	`jnl`	Making a (Counterfactual) Difference One Rationale at a Time. CoRR Mitchell Plyler, Michael Green, 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`	Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. ICHI Ge Gao, Farzaneh Khoshnevisan, Min Chi
2022	J	`jnl`	Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. CoRR Ge Gao, Farzaneh Khoshnevisan, 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
2022	J	`jnl`	The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. Int. J. Artif. Intell. Educ. Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes
2022	B	`conf`	The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CogSci Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
2021	J	`jnl`	Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
2021	—	`conf`	Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts. GHTC Esha Sharma, Lauren B. Davis, Julie S. Ivy, Min Chi
2021	—	`conf`	Evaluating Critical Reinforcement Learning Framework in the Field. AIED (1) Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi
2021	—	`conf`	InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. IEEE BigData Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
2021	J	`jnl`	InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. CoRR Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
2021	B	`conf`	Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price
2021	B	`conf`	Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
2021	A*	`conf`	Making a (Counterfactual) Difference One Rationale at a Time. NeurIPS Mitchell Plyler, Michael Green, Min Chi
2021	B	`conf`	More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price
2021	—	`conf`	Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. IEEE BigData Yeo Jin Kim, Markel Sanz Ausin, Min Chi
2021	A*	`conf`	Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. IJCAI Xi Yang, Yuan Zhang, Min Chi
2021	B	`conf`	Preparing Unprepared Students For Future Learning. CogSci Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
2021	J	`jnl`	TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering. CoRR Daniel Shen, Min Chi
2021	—	`conf`	Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. AIED (1) Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2021	J	`jnl`	The Impact of Looking Further Ahead: A Comparison of Two Data-driven Unsolicited Hint Types on Performance in an Intelligent Data-driven Logic Tutor. CoRR Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes
2021	J	`jnl`	Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning. CoRR Yeo-Jin Kim, Min Chi
2021	—	`conf`	To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. IEEE BigData Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi
2021	—	`conf`	Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups. ECML/PKDD (1) Farzaneh Khoshnevisan, Min Chi
2020	—	`conf`	An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. IEEE BigData Farzaneh Khoshnevisan, Min Chi
2020	J	`jnl`	An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. CoRR Farzaneh Khoshnevisan, Min Chi
2020	J	`jnl`	Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
2020	J	`jnl`	Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. CoRR Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
2020	B	`conf`	Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning. EDM Christa Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes
2020	—	`conf`	Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies. AIED (1) Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
2020	J	`jnl`	Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help. CoRR Mehak Maniktala, Christa Cody, Amy Isvik, Nicholas Lytle, Min Chi, Tiffany Barnes
2020	B	`conf`	Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. EDM Mehak Maniktala, Tiffany Barnes, Min Chi
2020	J	`jnl`	Going deeper: Automatic short-answer grading by combining student and question models. User Model. User Adapt. Interact. Yuan Zhang, Chen Lin, Min Chi
2020	A*	`conf`	Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). IJCAI Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2020	—	`conf`	Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices. CSEDM@EDM Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes
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	B	`conf`	Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CogSci Mark Abdelshiheed, Min Chi
2020	—	`conf`	MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling. IEEE BigData Hyunwoo Sohn, Kyungjin Park, 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`	Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. EDM Song Ju, Min Chi, Guojing Zhou
2020	B	`conf`	Student Subtyping via EM-Inverse Reinforcement Learning. EDM Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi
2020	—	`conf`	The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. CSEDM@EDM Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes
2020	B	`conf`	What Time is It? Student Modeling Needs to Know. EDM Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, 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	—	`conf`	An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis. AALTD@PKDD/ECML Daniel Shen, 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	A	`conf`	Evaluating the Effectiveness of Parsons Problems for Block-based Programming. ICER Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price
2019	A	`conf`	Exploring the Impact of Worked Examples in a Novice Programming Environment. SIGCSE Rui Zhi, Thomas W. Price, Samiha Marwan, Alexandra Milliken, Tiffany Barnes, Min Chi
2019	—	`conf`	Hierarchical Reinforcement Learning for Pedagogical Policy Induction. AIED (1) Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2019	B	`conf`	Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. EDM Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
2019	—	`conf`	Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. EDM (Workshops) Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
2019	B	`conf`	Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. EDM Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, 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`	Multi-layer Facial Representation Learning for Early Prediction of Septic Shock. IEEE BigData Chen Lin, Julie S. Ivy, Min Chi
2019	—	`conf`	Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions. BCB Ali Jazayeri, Muge Capan, Christopher C. Yang, Farzaneh Khoshnevisan, Min Chi, Ryan Arnold
2019	B	`conf`	One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. EDM Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
2019	A	`conf`	Streamline Density Peak Clustering for Practical Adoptions. CIKM Shuai Yang, Xipeng Shen, Min Chi
2019	—	`conf`	Time-aware Adversarial Networks for Adapting Disease Progression Modeling. ICHI Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi
2019	A*	`conf`	Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. IJCAI Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi
2018	—	`conf`	Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM. ICHI Chen Lin, Yuan Zhang, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne M. Huddleston, Min Chi
2018	—	`conf`	Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction. AIED (2) Shitian Shen, Behrooz Mostafavi, Collin F. Lynch, Tiffany Barnes, Min Chi
2018	A	`conf`	Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. UMAP Shitian Shen, Markel Sanz Ausin, Behrooz Mostafavi, Min Chi
2018	—	`conf`	Recent Temporal Pattern Mining for Septic Shock Early Prediction. ICHI Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi
2018	A*	`conf`	Temporal Belief Memory: Imputing Missing Data during RNN Training. IJCAI Yeo-Jin Kim, Min Chi
2018	—	`conf`	Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events. IEEE BigData Xi Yang, Yuan Zhang, Min Chi
2017	A	`conf`	A Comparisons of BKT, RNN and LSTM for Learning Gain Prediction. AIED Chen Lin, Min Chi
2017	B	`conf`	Clustering Student Sequential Trajectories Using Dynamic Time Wrapping. EDM Shitian Shen, Min Chi
2017	J	`jnl`	Detecting opinion spammer groups and spam targets through community discovery and sentiment analysis. J. Comput. Secur. Euijin Choo, Ting Yu, Min Chi
2017	—	`conf`	LSTM for septic shock: Adding unreliable labels to reliable predictions. IEEE BigData Yuan Zhang, Chen Lin, Min Chi, Julie S. Ivy, Muge Capan, Jeanne M. Huddleston
2017	B	`conf`	Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection. EDM Linting Xue, Collin F. Lynch, Min Chi
2017	B	`conf`	The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring. CogSci Guojing Zhou, Min Chi
2017	B	`conf`	Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories. EDM Guojing Zhou, Jianxun Wang, Collin F. Lynch, Min Chi
2017	B	`conf`	Workshop proposal: deep learning for educational data mining. EDM Joseph Beck, Min Chi, Ryan S. Baker
2016	B	`conf`	Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning. EDM Shitian Shen, Min Chi
2016	B	`conf`	Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading. EDM Yuan Zhang, Rajat Shah, Min Chi
2016	—	`conf`	Evolving Augmented Graph Grammars for Argument Analysis. GECCO (Companion) Collin F. Lynch, Linting Xue, Min Chi
2016	A	`conf`	Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling. UMAP Chen Lin, Shitian Shen, Min Chi
2016	B	`conf`	Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing. ITS Chen Lin, Min Chi
2016	B	`ed.`	Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 EDM Tiffany Barnes, Min Chi, Mingyu Feng
2016	A	`conf`	Reinforcement Learning: the Sooner the Better, or the Later the Better? UMAP Shitian Shen, Min Chi
2016	B	`conf`	The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions. CogSci Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi
2016	B	`conf`	Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams. EDM Linting Xue, Collin F. Lynch, Min Chi
2015	B	`conf`	An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. EDM Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi
2015	A	`conf`	Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. AIED Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes
2015	B	`conf`	Detecting Opinion Spammer Groups Through Community Discovery and Sentiment Analysis. DBSec Euijin Choo, Ting Yu, Min Chi
2015	—	`conf`	Graph Grammar Induction via Evolutionary Computation. EDM (Workshops) Linting Xue, Collin F. Lynch, Min Chi
2015	B	`conf`	The Impact of Granularity on Worked Examples and Problem Solving. CogSci Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi
2015	—	`conf`	Using the Hint Factory to Compare Model-Based Tutoring Systems. EDM (Workshops) Collin F. Lynch, Thomas W. Price, Min Chi, Tiffany Barnes
2014	B	`conf`	Can Diagrams Predict Essay Grades? Intelligent Tutoring Systems Collin F. Lynch, Kevin D. Ashley, Min Chi
2014	B	`conf`	Choice-based Assessment: Can Choices Made in Digital Games Predict 6th-Grade Students' Math Test Scores? EDM Min Chi, Daniel L. Schwartz, Kristen Pilner Blair, Doris B. Chin
2014	—	`ed.`	Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014. UMAP Workshops Iván Cantador, Min Chi, Rosta Farzan, Robert Jäschke
2014	A*	`conf`	Revealing and incorporating implicit communities to improve recommender systems. EC Euijin Choo, Ting Yu, Min Chi, Yan Sun
2014	—	`conf`	Tug of War: What is it Good For? Measuring Student Inquiry Choices in an Online Science Game. ICLS Nicole R. Hallinen, Julius Cheng, Min Chi, Daniel L. Schwartz
2014	B	`conf`	When Is Tutorial Dialogue More Effective Than Step-Based Tutoring? Intelligent Tutoring Systems Min Chi, Pamela W. Jordan, Kurt VanLehn
2011	J	`jnl`	An Evaluation of Pedagogical Tutorial Tactics for a Natural Language Tutoring System: A Reinforcement Learning Approach. Int. J. Artif. Intell. Educ. Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan
2011	J	`jnl`	Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies. User Model. User Adapt. Interact. Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan
2011	B	`conf`	Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty. EDM Sujith M. Gowda, Jonathan P. Rowe, Ryan Shaun Joazeiro de Baker, Min Chi, Kenneth R. Koedinger
2011	B	`conf`	Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. EDM Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn
2010	B	`conf`	Do Micro-Level Tutorial Decisions Matter: Applying Reinforcement Learning to Induce Pedagogical Tutorial Tactics. Intelligent Tutoring Systems (1) Min Chi, Kurt VanLehn, Diane J. Litman
2010	A	`conf`	Inducing Effective Pedagogical Strategies Using Learning Context Features. UMAP Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. Jordan
2010	J	`jnl`	Meta-Cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When, and Why. J. Educ. Technol. Soc. Min Chi, Kurt VanLehn
2009	A	`conf`	To Elicit Or To Tell: Does It Matter? AIED Min Chi, Pamela W. Jordan, Kurt VanLehn, Diane J. Litman
2008	B	`conf`	Eliminating the Gap between the High and Low Students through Meta-cognitive Strategy Instruction. Intelligent Tutoring Systems Min Chi, Kurt VanLehn
2008	B	`conf`	Reinforcement Learning-based Feature Seleciton For Developing Pedagogically Effective Tutorial Dialogue Tactics. EDM Min Chi, Pamela W. Jordan, Kurt VanLehn, Moses Hall
2007	A	`conf`	Accelerated Future Learning via Explicit Instruction of a Problem Solving Strategy. AIED Min Chi, Kurt VanLehn
2007	A	`conf`	Domain-Specific and Domain-Independent Interactive Behaviors in Andes. AIED Min Chi, Kurt VanLehn
2007	A	`conf`	Porting an Intelligent Tutoring System across Domains. AIED Min Chi, Kurt VanLehn
2004	B	`conf`	Implicit Versus Explicit Learning of Strategies in a Non-procedural Cognitive Skill. Intelligent Tutoring Systems Kurt VanLehn, Dumiszewe Bhembe, Min Chi, Collin F. Lynch, Kay G. Schulze, Robert Shelby, Linwood Taylor, Donald Treacy, Anders Weinstein, Mary Wintersgill