General Features in Knowledge Tracing to Model Multiple Subskills, Temporal Item Response Theory, and Expert Knowledge. - Yun Huang 002; José P. González-Brenes; Peter Brusilovsky (EDM, 2014)

Predicting Student Performance in Solving Parameterized Exercises. - Shaghayegh Sahebi; Yun Huang 002; Peter Brusilovsky (Intelligent Tutoring Systems, 2014)

Doing More with Less: Student Modeling and Performance Prediction with Reduced Content Models. - Yun Huang 002; Yanbo Xu; Peter Brusilovsky (UMAP, 2014)

Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks. - Mohammad Khajah; Yun Huang 002; José P. González-Brenes; Michael Mozer; Peter Brusilovsky (UMAP Workshops, 2014)

Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. - José P. González-Brenes; Yun Huang 002 (AIED Workshops, 2015)

Exploring the Effects of Open Social Student Model Beyond Social Comparison. - Julio Guerra 001; Yun Huang 002; Roya Hosseini; Peter Brusilovsky (AIED Workshops, 2015)

Challenges of Using Observational Data to Determine the Importance of Example Usage. - Yun Huang 002; José P. González-Brenes; Peter Brusilovsky (AIED, 2015)

Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. - José P. González-Brenes; Yun Huang 002 (EDM, 2015)

Graph Analysis of Student Model Networks. - Julio Guerra 001; Yun Huang 002; Roya Hosseini; Peter Brusilovsky (EDM (Workshops), 2015)

A Framework for Multifaceted Evaluation of Student Models. - Yun Huang 002; José P. González-Brenes; Rohit Kumar 001; Peter Brusilovsky (EDM, 2015)

Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning. - Yun Huang 002; Peter Brusilovsky (EDM, 2016)

A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing. - Yun Huang 002; Julio Guerra 001; Peter Brusilovsky (EDM, 2016)

Deeper Knowledge Tracing by Modeling Skill Application Context for Better Personalized Learning. - Yun Huang 002 (UMAP, 2016)

Modeling Skill Combination Patterns for Deeper Knowledge Tracing. - Yun Huang 002; Julio Daniel Guerra Hollstein 001; Peter Brusilovsky (UMAP (Extended Proceedings), 2016)

A Framework for Dynamic Knowledge Modeling in Textbook-Based Learning. - Yun Huang 002; Michael Yudelson; Shuguang Han; Daqing He; Peter Brusilovsky (UMAP, 2016)

Knowledge-Based Content Linking for Online Textbooks. - Rui Meng; Shuguang Han; Yun Huang 002; Daqing He; Peter Brusilovsky (WI, 2016)

Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. - Jordan Barria-Pineda; Julio Guerra 001; Yun Huang 002; Peter Brusilovsky (IUI Companion, 2017)

Semi-Supervised Techniques for Mining Learning Outcomes and Prerequisites. - Igor Labutov; Yun Huang 002; Peter Brusilovsky; Daqing He (KDD, 2017)

Learner Modeling for Integration Skills. - Yun Huang 002; Julio Daniel Guerra Hollstein 001; Jordan Barria-Pineda; Peter Brusilovsky (UMAP, 2017)

A General Multi-method Approach to Design-Loop Adaptivity in Intelligent Tutoring Systems. - Yun Huang 002; Vincent Aleven; Elizabeth A. McLaughlin; Kenneth R. Koedinger (AIED (2), 2020)

A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. - Yun Huang 002; Nikki G. Lobczowski; J. Elizabeth Richey; Elizabeth A. McLaughlin; Michael W. Asher; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (LAK, 2021)

Item Response Theory-Based Gaming Detection. - Yun Huang 002; Steven Dang; J. Elizabeth Richey; Michael W. Asher; Nikki G. Lobczowski; Danielle R. Chine; Elizabeth A. McLaughlin; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (EDM, 2022)

Involving Teachers in the Data-Driven Improvement of Intelligent Tutors: A Prototyping Study. - Meng Xia 002; Xinyi Zhao; Dong Sun; Yun Huang 002; Jonathan Sewall; Vincent Aleven (AIED, 2023)

Supporting skill integration in an intelligent tutoring system for code tracing. - Yun Huang 002; Peter Brusilovsky; Julio Guerra 001; Kenneth R. Koedinger; Christian Schunn (J. Comput. Assist. Learn., 2023)

Using latent variable models to make gaming-the-system detection robust to context variations. - Yun Huang 002; Steven Dang; J. Elizabeth Richey; Pallavi Chhabra; Danielle R. Thomas; Michael W. Asher; Nikki G. Lobczowski; Elizabeth A. McLaughlin; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (User Model. User Adapt. Interact., 2023)

Why Students Cannot Easily Integrate Component Skills: An Investigation of the Composition Effect in Programming. - Yun Huang 002; Christian D. Schunn; Julio Guerra 001; Peter Brusilovsky (ACM Trans. Comput. Educ., 2024)

An Integrated Platform for Studying Learning with Intelligent Tutoring Systems: CTAT+TutorShop. - Vincent Aleven; Conrad Borchers; Yun Huang 002; Tomohiro Nagashima; Bruce M. McLaren; Paulo Carvalho 004; Octav Popescu; Jonathan Sewall; Kenneth R. Koedinger (CoRR, 2025)