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Yuyan Wu

PhD Candidate

School of Engineering (ETSE-UV), Universitat de València

About Me

I am a Ph.D. Candidate specializing in the School of Computer Science at Universitat de València. My research focuses on artificial intelligence for education, intelligent tutoring systems, and conversational systems, with particular emphasis on developing algorithms for adaptivity and personalization in teaching and learning.

During my doctoral studies, I have focused on solving several challenging problems, including emotion recognition, natural language understanding, and student modeling within educational contexts. My work has been published in impact journals and top conferences, such as AIED and ITS.

I am currently finalizing my thesis and am actively seeking Postdoctoral Researcher positions. I am interested in applying my expertise to cutting-edge AI and education challenges. I welcome inquiries regarding potential opportunities. Please feel free to reach out via email.

Research Interests

Machine Learning Deep Learning AI for Education Natural Language Understanding Intelligent Tutoring Systems Knowledge Tracing Student Modeling

Education

Ph.D. candidate Information, Communication, and Computing Technologies

Universitat de València

Burjassot, Valencia, Spain

2021 - 2025

Advisor: Prof. Miguel Arevalillo and Prof. David Arnau

M.S. in Web Technologies, Cloud Computing, and Mobile Applications

Universitat de València

Burjassot, Valencia, Spain

2020 - 2021

B.S. in Computer Engineering

Universitat de València

Burjassot, Valencia, Spain

2016 - 2020

Publications

2025

A non-deteriorating approach to improve Natural Language Understanding in Conversational Agents

Arevalillo-Herráez, M.; Albornoz-De Luise, R.S.; Wu, Y.

Neurocomputing

A Study of the Influence of the Attention Mechanism on Knowledge Tracing

Yuyan Wu; Miguel Arevalillo-Herráez; David Arnau

AIED 2025

Balancing Innovation with Ethics: Responsible Development of Multi-modal Intelligent Tutoring Systems

Luise, R.S.A.D.; González, P.A.; Solera-Monforte, S.; Wu, Y.; Serrano-Mamolar, A.

Multimodal Intelligent Sensing in Modern Applications

On Using Large Language Models for Rubric-Based Open Question Evaluation

Mark Tič; Miguel Arevalillo-Herráez; Yuyan Wu; Dejan Lavbič

AIED 2025

Predicting User Actions in Algebra Intelligent Tutoring Systems with Markov Models

Pablo Arnau-González; Yuyan Wu; Sergi Solera-Monforte; David Arnau; Miguel Arevalillo-Herráez

AIED 2025

A framework for adapting conversational intelligent tutoring systems to enable collaborative learning

Pablo Arnau-González; Sergi Solera-Monforte; Yuyan Wu; Miguel Arevalillo-Herráez

Expert Systems with Applications

On improving conversational interfaces in educational systems

Yuyan Wu; Romina Soledad Albornoz-De Luise; Miguel Arevalillo-Herráez

Computer Speech & Language

2024

A Generative Approach for Proactive Assistance Forecasting in Intelligent Tutoring Environments

Wu, Y.; Arevalillo-Herráez, M.; Solera-Monforte, S.

ITS 2024

Using Large Language Models to Support Teaching and Learning of Word Problem Solving in Tutoring Systems

Arnau-Blasco, J.; Arevalillo-Herráez, M.; Solera-Monforte, S.; Wu, Y.

ITS 2024

Leveraging intent–entity relationships to enhance semantic accuracy in NLU models

Albornoz-De Luise, R.S.; Arevalillo-Herráez, M.; Wu, Y.

Neural Computing and Applications

2023

Improved Action Unit Detection Based on a Hybrid Model

Wu, Y.; Arevalillo-Herraez, M.; Arnau-Gonzalez, P.

IEEE Access

2022

On the benefits of using Hidden Markov Models to predict emotions

Wu, Y.; Arevalillo-Herraez, M.; Arnau-Gonzalez, P.

UMAP 2022