Min Chi

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 132

Top Venues

Publications

Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi
On Trajectory Augmentations for Off-Policy Evaluation. ICLR (2024)
Md Mirajul Islam, Xi Yang, John Wesley Hostetter, Adittya Soukarjya Saha, Min Chi
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies. CoRR (2024)
Ge Gao, Xi Yang, Min Chi
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring. AAAI (2024)
Yeo Jin Kim, Min Chi
Time-aware deep reinforcement learning with multi-temporal abstraction. Appl. Intell. 53 (17) (2023)
Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
Preparing Unprepared Students For Future Learning. CoRR (2023)
Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. AIED (2023)
John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi
A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. AAMAS (2023)
Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. CoRR (2023)
Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. CoRR (2023)
Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
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. 33 (4) (2023)
Mark Abdelshiheed, Guojing Zhou, Mehak Maniktala, Tiffany Barnes, Min Chi
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR (2023)
Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CogSci (2023)
Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM (2023)
John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi
XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. IVA (2023)
Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. CoRR (2023)
Ge Gao, Min Chi
Trace Augmentation with Missing EHRs for Sepsis Treatments. ICHI (2023)
John Wesley Hostetter, Min Chi
Latent Space Encoding for Interpretable Fuzzy Logic Rules in Continuous and Noisy High-Dimensional Spaces. FUZZ (2023)
Xi Yang, Ge Gao, Min Chi
An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions. CoRR (2023)
Munindar P. Singh, Min Chi, Veena Misra
Healthful Connected Living: Vision and Challenges for the Case of Obesity. IEEE Internet Comput. 27 (3) (2023)
Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CoRR (2023)
Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes
Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. AIED (Posters/Late Breaking Results/...) (2023)
Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
Variational Latent Branching Model for Off-Policy Evaluation. ICLR (2023)
Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi
Leveraging Deep Reinforcement Learning for Metacognitive Interventions across Intelligent Tutoring Systems. CoRR (2023)
Ge Gao, Song Ju, Markel Sanz Ausin, Min Chi
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare. AAMAS (2023)
Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi
A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. AIED (Posters/Late Breaking Results/...) (2023)
Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
Variational Latent Branching Model for Off-Policy Evaluation. CoRR (2023)
Mehak Maniktala, Min Chi, Tiffany Barnes
Enhancing a student productivity model for adaptive problem-solving assistance. User Model. User Adapt. Interact. 33 (1) (2023)
Xi Yang, Ge Gao, Min Chi
Hierarchical Apprenticeship Learning for Disease Progression Modeling. IJCAI (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. CoRR (2023)
John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi
Leveraging Fuzzy Logic Towards More Explainable Reinforcement Learning-Induced Pedagogical Policies on Intelligent Tutoring Systems. FUZZ (2023)
Mark Abdelshiheed, Mehak Maniktala, Tiffany Barnes, Min Chi
Assessing Competency Using Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CoRR (2023)
Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. EDM (2023)
Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. AIED (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. NeurIPS (2023)
Daniel S. Shen, Min Chi
TC-DTW: Accelerating multivariate dynamic time warping through triangle inequality and point clustering. Inf. Sci. 621 (2023)
Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI (2023)
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. EDM (2022)
Mehak Maniktala, Min Chi, Tiffany Barnes
Enhancing a Student Productivity Model for Adaptive Problem-Solving Assistance. CoRR (2022)
Ge Gao, Farzaneh Khoshnevisan, Min Chi
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. ICHI (2022)
Mitchell Plyler, Michael Green, Min Chi
Making a (Counterfactual) Difference One Rationale at a Time. CoRR (2022)
Song Ju, Xi Yang, Tiffany Barnes, Min Chi
Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. AIED (1) (2022)
Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. CoRR (2022)
Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. CogSci (2022)
Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi
Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. AIED (1) (2022)
Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes
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. 32 (2) (2022)
Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
Leveraging Granularity: Hierarchical Reinforcement Learning for Pedagogical Policy Induction. Int. J. Artif. Intell. Educ. 32 (2) (2022)
Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving. CoRR (2022)
Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. IJCAI (2022)
Ye Mao, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
Cross-Lingual Adversarial Domain Adaptation for Novice Programming. AAAI (2022)
Yang Shi, Min Chi, Tiffany Barnes, Thomas W. Price
Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks. CoRR (2022)
Ge Gao, Farzaneh Khoshnevisan, Min Chi
Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. CoRR (2022)
Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. 31 (1) (2021)
Yeo-Jin Kim, Min Chi
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning. CoRR (2021)
Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. CoRR (2021)
Farzaneh Khoshnevisan, Min Chi
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups. ECML/PKDD (1) (2021)
Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
Tackling the Credit Assignment Problem in Reinforcement Learning-Induced Pedagogical Policies with Neural Networks. AIED (1) (2021)
Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju, Yeo-Jin Kim, Min Chi
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem. IEEE BigData (2021)
Samiha Marwan, Yang Shi, Ian Menezes, Min Chi, Tiffany Barnes, Thomas W. Price
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming. EDM (2021)
Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price
More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. EDM (2021)
Ye Mao, Yang Shi, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
Knowing both when and where: Temporal-ASTNN for Early Prediction of Student Success in Novice Programming Tasks. EDM (2021)
Mitchell Plyler, Michael Green, Min Chi
Making a (Counterfactual) Difference One Rationale at a Time. NeurIPS (2021)
Christa Cody, Mehak Maniktala, Nicholas Lytle, Min Chi, Tiffany Barnes
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 (2021)
Daniel Shen, Min Chi
TC-DTW: Accelerating Multivariate Dynamic Time Warping Through Triangle Inequality and Point Clustering. CoRR (2021)
Yeo Jin Kim, Markel Sanz Ausin, Min Chi
Multi-Temporal Abstraction with Time-Aware Deep Q-Learning for Septic Shock Prevention. IEEE BigData (2021)
Song Ju, Yeo Jin Kim, Markel Sanz Ausin, Maria E. Mayorga, Min Chi
To Reduce Healthcare Workload: Identify Critical Sepsis Progression Moments through Deep Reinforcement Learning. IEEE BigData (2021)
Esha Sharma, Lauren Davis, Julie S. Ivy, Min Chi
Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts. GHTC (2021)
Xi Yang, Yuan Zhang, Min Chi
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. IJCAI (2021)
Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi
Evaluating Critical Reinforcement Learning Framework in the Field. AIED (1) (2021)
Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi
Preparing Unprepared Students For Future Learning. CogSci (2021)
Xi Yang, Yeo-Jin Kim, Michelle Taub, Roger Azevedo, Min Chi
PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems. MMM (2) (2020)
Guojing Zhou, Xi Yang, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. UMAP (2020)
Samiha Marwan, Thomas W. Price, Min Chi, Tiffany Barnes
Immediate Data-Driven Positive Feedback Increases Engagement on Programming Homework for Novices. CSEDM@EDM (2020)
Ye Mao, Samiha Marwan, Thomas W. Price, Tiffany Barnes, Min Chi
What Time is It? Student Modeling Needs to Know. EDM (2020)
Song Ju, Min Chi, Guojing Zhou
Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. EDM (2020)
Christa Cody, Mehak Maniktala, David Warren, Min Chi, Tiffany Barnes
Does autonomy help Help? The impact of unsolicited hints and choice on help avoidance and learning. EDM (2020)
Mehak Maniktala, Christa Cody, Amy Isvik, Nicholas Lytle, Min Chi, Tiffany Barnes
Extending the Hint Factory for the assistance dilemma: A novel, data-driven HelpNeed Predictor for proactive problem-solving help. CoRR (2020)
Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi
Student Subtyping via EM-Inverse Reinforcement Learning. EDM (2020)
Farzaneh Khoshnevisan, Min Chi
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. CoRR (2020)
Yuan Zhang, Chen Lin, Min Chi
Going deeper: Automatic short-answer grading by combining student and question models. User Model. User Adapt. Interact. 30 (1) (2020)
Farzaneh Khoshnevisan, Min Chi
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems. IEEE BigData (2020)
Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. Int. J. Artif. Intell. Educ. 30 (4) (2020)
Preya Shabrina, Samiha Marwan, Min Chi, Thomas W. Price, Tiffany Barnes
The Impact of Data-driven Positive Programming Feedback: When it Helps, What Happens when it Goes Wrong, and How Students Respond. CSEDM@EDM (2020)
Markel Sanz Ausin, Mehak Maniktala, Tiffany Barnes, Min Chi
Exploring the Impact of Simple Explanations and Agency on Batch Deep Reinforcement Learning Induced Pedagogical Policies. AIED (1) (2020)
Mehak Maniktala, Christa Cody, Tiffany Barnes, Min Chi
Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor. CoRR (2020)
Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). IJCAI (2020)
Mark Abdelshiheed, Min Chi
Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. CogSci (2020)
Hyunwoo Sohn, Kyungjin Park, Min Chi
MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling. IEEE BigData (2020)
Mehak Maniktala, Tiffany Barnes, Min Chi
Extending the Hint Factory: Towards Modelling Productivity for Open-ended Problem-solving. EDM (2020)
Daniel Shen, Min Chi
An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis. AALTD@PKDD/ECML (2019)
Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. EDM (2019)
Guojing Zhou, Xi Yang, Min Chi
Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence. CogSci (2019)
Hamoon Azizsoltani, Yeo-Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts. IJCAI (2019)
Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. EDM (2019)
Rui Zhi, Min Chi, Tiffany Barnes, Thomas W. Price
Evaluating the Effectiveness of Parsons Problems for Block-based Programming. ICER (2019)
Chen Lin, Julie S. Ivy, Min Chi
Multi-layer Facial Representation Learning for Early Prediction of Septic Shock. IEEE BigData (2019)
Yuan Zhang, Xi Yang, Julie S. Ivy, Min Chi
Time-aware Adversarial Networks for Adapting Disease Progression Modeling. ICHI (2019)
Ye Mao, Rui Zhi, Farzaneh Khoshnevisan, Thomas W. Price, Tiffany Barnes, Min Chi
One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. EDM (2019)
Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi
Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. EDM (Workshops) (2019)
Xi Yang, Yeo-Jin Kim, Farzaneh Khoshnevisan, Yuan Zhang, Min Chi
Missing Data Imputation for MIMIC-III using Matrix Decomposition. ICHI (2019)
Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi
Hierarchical Reinforcement Learning for Pedagogical Policy Induction. AIED (1) (2019)

Min Chi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Min Chi