output
20162025
most citedPSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application

50 citations

21 papers

cs.CL2025

From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation

Chih-Hao Hsu, Ying-Jia Lin, Hung-Yu Kao

In dialogue generation, the naturalness of responses is crucial for effective human-machine interaction. Personalized response generation poses even greater challenges, as the resp…

cond-mat.str-el2025★ 4 cited

Giant Self Spin-Valve Effect in the Kagome Helimagnet

Xitong Xu, Yonglai Liu, Kesen Zhao +12

Kagome magnets can combine non-trivial band topology and electron correlations, offering a versatile playground for various quantum phenomena. In this work we propose that kagome m…

cs.HC2025★ 10 cited

Personalized Programming Education: Using Machine Learning to Boost Learning Performance Based on Students' Personality Traits

Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Andrew Chih-Wei Huang +1

Studies have indicated that personality is related to achievement, and several personality assessment models have been developed. However, most are either questionnaires or based o…

cs.HC2024★ 5 cited

Do Students with Different Personality Traits Demonstrate Different Physiological Signals in Video-based Learning?

Chun-Hsiung Tseng, Hao-Chiang Koong Lin, Yung-Hui Chen +2

Past researches show that personality trait is a strong predictor for ones academic performance. Today, mature and verified marker systems for assessing personality traits already…

cond-mat.str-el2024★ 3 cited

A topological Hund nodal line antiferromagnet

Xian P. Yang, Yueh-Ting Yao, Pengyu Zheng +21

The interplay of topology, magnetism, and correlations gives rise to intriguing phases of matter. In this study, through state-of-the-art angle-resolved photoemission spectroscopy,…

quant-ph2024★ 36 cited

Non-Markovian Quantum Exceptional Points

Jhen-Dong Lin, Po-Chen Kuo, Neill Lambert +3

Exceptional points (EPs) are singularities in the spectra of non-Hermitian operators, where eigenvalues and eigenvectors coalesce. Recently, open quantum systems have been increasi…

cond-mat.mtrl-sci2023★ 34 cited

Observation of 2D Weyl Fermion States in Epitaxial Bismuthene

Qiangsheng Lu, P. V. Sreenivasa Reddy, Hoyeon Jeon +20

A two-dimensional (2D) Weyl semimetal featuring a spin-polarized linear band dispersion and a nodal Fermi surface is a new topological phase of matter. It is a solid-state realizat…

math.QA2021

Fourvolutions and automorphism groups of orbifold lattice vertex operator algebras

Hsian-Yang Chen, Ching Hung Lam

Let be an even positive definite lattice with no roots, i.e., . Let be an isometry of order such that on . In…

cs.AI2020★ 1 cited

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan +8

In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robo…

math.DG2020★ 1 cited

Generalizations of the theorems of Pappus-Guldin in the Heisenberg groups

Yen-Chang Huang

In this paper we study areas (called p-areas) and volumes for parametric surfaces in the 3D-Heisenberg group , which is considered as a flat model of pseudo-hermitian…

cs.AI2019

A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go

Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen +6

This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go. The genetic fuzzy markup language…

cs.AI2019★ 4 cited

PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +8

This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction app…

cs.AI2018★ 50 cited

PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application

Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang +4

This paper proposes an agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for students learning performance evaluation and educational applications…

cs.AI2018★ 4 cited

Human and Smart Machine Co-Learning with Brain Computer Interface

Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +5

Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area. Neverthele…

cs.AI2018★ 6 cited

Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning

Chang-Shing Lee, Mei-Hui Wang, Tzong-Xiang Huang +6

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The…

cs.DL2018

Ontology-based Adaptive e-Textbook Platform for Student and Machine Co-Learning

Noel Nuo Wi Tay, Sheng-Chi Yang, Chang-Shing Lee +1

The use of electronic textbooks (e-book) has been heavily studied over the years due to their flexibility, accessibility, interactivity and extensibility. Yet current shortcomings…

math.AP2017★ 1 cited

Spreading with two speeds and mass segregation in a diffusive competition system with free boundaries

Yihong Du, Chang-Hong Wu

We investigate the spreading behavior of two invasive species modeled by a Lotka-Volterra diffusive competition system with two free boundaries in a spherically symmetric setting.…

cs.AI2017★ 10 cited

FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go

Chang-Shing Lee, Mei-Hui Wang, Sheng-Chi Yang +7

In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human-Machine Co…

cs.AI2017★ 2 cited

FML-based Prediction Agent and Its Application to Game of Go

Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao +5

In this paper, we present a robotic prediction agent including a darkforest Go engine, a fuzzy markup language (FML) assessment engine, an FML-based decision support engine, and a…

cs.AI2016★ 40 cited

Human vs. Computer Go: Review and Prospect

Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen +6

The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI)…

math.AG2016★ 2 cited

On the connectedness of the standard web of Calabi-Yau 3-folds and small transitions

Sz-Sheng Wang

We supply a detailed proof of the result by P.S. Green and T. Hbsch that all complete intersection Calabi--Yau 3-folds in product of projective spaces are connecte…