Wenbin Gan

Wenbin Gan

Researcher, National Institute of Information and Communications Technology (NICT)

Talks and Presentation

  • “Domain Model and Learner Model: two intertwined aspects for Adaptive Learning”, invited talk in School of Educational Information Technology, Central China Normal University, Wuhan, China, March, 2024.

  • “Learner knowledge modeling for adaptive learning”, invited talk in International Forum for Outstanding Overseas Young Scholars, Central China Normal University, Wuhan, China, January, 2024.

  • “Drive-clip: Cross-modal contrastive safety-critical driving scenario representation learning and zero-shot driving risk analysis”, The 30th International Conference on Multimedia Modeling (MMM 2024), Amsterdam, The Netherlands.

  • “Educational assessment for adaptive learning: from the psychometric models to machine learning models”, invited keynote talk in International Conference on Intelligent Education and Intelligent Research (IEIR 2023), Wuhan, China.

  • “Procedural driving skill coaching from more skilled drivers to safer drivers”, ACM International Conference on Multimedia Retrieval (ACM ICMR 2023), Thessaloniki, Greece.

  • “An open case-based reasoning framework for personalized on-board driving assistance in risk scenarios”, The IEEE International Conference on Big Data (IEEE BigData 2022), Osaka, Japan.

  • “Monitoring and improving personalized sleep quality from long-term lifelogs.”, The IEEE International Conference on Big Data (IEEE BigData 2022), Osaka, Japan.

  • “Prerequisite-driven q-matrix refinement for learner knowledge assessment: A case study in online learning context.”, The 30th International Conference on Computers in Education (ICCE 2022), Online.

  • “IoT-based multimodal analysis for smart education: Current status, challenges and opportunities.”, The ACM International Conference on Multimedia Retrieval (ICMR), Online， 2022.

  • “Big data learning analytics for smart education”, Invited talk at Big Data Integration Research Center, National Institute of Information and communication Technology, 2021，Japan.

  • “Improving knowledge tracing through embedding based on metapath”, The 29th International Conference on Computers in Education (ICCE), Online，2021.

  • “Knowledge interaction enhanced knowledge tracing for learner performance prediction”, The 7th International Conference on Behavioural and Social Computing (BESC), Bournemouth United Kingdom, 2020.

  • “Field-aware Knowledge Tracing Machine by Modelling Students’ Dynamic Learning Pro- cedure and Item Difficulty”, The 19th IEEE International Conference on Data Mining(IEEE ICDM), Beijing, China, 2019.

  • “AI-Tutor: Generating Tailored Remedial Questions and Answers Based on Cognitive Diagnostic Assessment”, The 6th International Conference on Behavioural and Social Computing (BESC), Beijing, China, 2019.

  • “Automatically Solving Plane Geometry Problems”, Invited talk at National Institute of Informatics, Japan, 2019.

  • “Understanding Explicit Arithmetic Word Problems and Explicit Plane Geometry Problems Using Syntax-Semantics Models”, The 21st International Conference on Asian Language Processing (IALP), Singapore, 2017.

  • “Understanding plane geometry problems by integrating relations extracted from text and diagram”, The 8th Pacific-Rim Symposium on Image and Video Technology (PSIVT), Wuhan, China, 2017.

  • “Plane Geometry Diagram Retrieval By Using Hierarchical Searching Strategy”, The 8th International Conference on Internet Multimedia Computing and Service (ICIMCS), Xi’an, China, 2016.

  • “Automatic reconstruction of plane geometry figures in documents”, The 4th International Conference of Educational Innovation through Technology (EITT), Wuhan, China, 2015.