cognition, brain-inspired computing and AI techiniques, connection of basic research to real-world applications in digital health and precision medicine, and precision sports. 

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期刊 Journals

• Wang, J., Cheng L., Chang, Y. N., Maurer, U., Wang, S., and Chen, H. H. (2025) Planning units in Chinese handwriting: Comparing the role of radicals and logographemes. Journal of Experimental Psychology: Learning, Memory and Cognition.
• Hofmann, M. J. , Chang Y. N., Brouwer, H., and Zock, M. (2024) Editorial: Neurocomputational models of language processing. Frontiers in Human Neuroscience.
• Cheng, C. F. & Chang, Y. N. (2024). Investigating the effects of semantic radical consistency in Chinese character naming with a corpus-based measure. Journal of Experimental Psychology: Learning, Memory and Cognition.
• Chou, C. J., Chang, C. T., Chang, Y. N., Lee, C. Y., Chuang, Y. F., Chiu, Y. L., Liang, W. L., Fan, Y. M. and Liu, Y. C. (2024). Screening for Early Alzheimer's Disease: Enhancing Diagnosis with Linguistic Features and Biomarkers. Frontiers in Aging Neuroscience.
• Chang, Y. N., Welbourne, S., Furber, S., & Lambon Ralph, M. (2024). Simultaneous simulations of pure, surface and phonological acquired dyslexia within a full computational model of the primary systems hypothesis. Cortex.
• Chang, Y. N., Chang, T. J., Lin, W. F., Kuo, C. E., Shi, Y. T., & Lee, H. W. (2024). Modelling individual differences in reading using an optimised MikeNet simulator: The impact of reading instruction. Frontiers in Human Neuroscience.
• Chang, Y. N., Halai, A. D., & Lambon Ralph, M. (2023). Distance-dependent distribution thresholding in probabilistic tractography. Human Brain Mapping.
• Chang, Y. N. (2023). The influence of oral vocabulary knowledge on individual differences in a computational model of reading. Scientific Reports, 13(1), 1680.
• Chang, Y. N., & Lambon Ralph, M. (2020). A unified neurocomputational bilateral pathway model of spoken language production in healthy participants and recovery in post-stroke aphasia. Proceedings of the National Academy of Sciences.
• Chang, Y. N., Taylor, J. S. H., Rastle K., & Monaghan, P. J. (2020). The relationships between oral language and reading instruction: Evidence from a computational model of reading. Cognitive Psychology, 123, 101336.
• Chang, Y. N. & Lee, C. Y. (2020). Age of Acquisition Effects on Traditional Chinese Character Naming and Lexical Decision. Psychonomic Bulletin & Review, 1-8.
• Chang, Y. N., Monaghan, P. J., & Welbourne, S. (2019). A computational model of reading across development: Effects of literacy onset on language processing. Journal of Memory and Learning, 108, 104025.
• Chang, Y. N., & Monaghan, P. J. (2018). Quantity and quality of pre-literacy language exposure both affect literacy development: Evidence from a computational model of reading. Scientific Studies of Reading, 1-19
• Chang, Y. N., & Lee, C. Y. (2017). Semantic ambiguity effects on traditional Chinese character naming: A corpus-based approach. Behavior Research Methods. 1-13.
• Monaghan, P. J., Chang, Y. N., Welbourne, S., & Brysbaert, M. (2017). Exploring the relations between word frequency, language exposure, and bilingualism in a computational model of reading. Journal of Memory and Language, 93, 1-21
• Chang, Y. N., Welbourne, S., & Lee, C. Y. (2016). Exploring orthographic neighborhood size effects in a computational model of Chinese character naming. Cognitive Psychology, 91, 1-23
• Chen, W. -F., Chao, P., Chang, Y. N., Hsu, C. H., & Lee, C. Y. (2016). Effects of orthographic consistency and homophone density on Chinese spoken word recognition. Brain and Language, 157-158, 51-62.
• Chang, Y. N., Hsu, C. H., Chen, C. L., & Lee, C. Y. (2016). The psycholinguistic database for traditional Chinese character naming. Behavior Research Methods, 48(1), 112-122.
• Lee, C. Y, Hsu, C. H., Chang, Y. N., Chen, W. -F., Chou, P. -C. (2015). The feedback consistency effect in Chinese character recognition: evidence from a psycholinguistic norm. Language and Linguistics, 16(4), 535-554.
• Chang, Y. N., Furber, S., & Welbourne, S. (2012). Modelling normal and impaired letter recognition: Implications for understanding pure alexic reading. Neuropsychologia, 50(12), 2773-2788.
• Chang, Y. N., Furber, S., & Welbourne, S. (2012). “Serial” effects in parallel models of   reading. Cognitive Psychology, 64(4), 267-291.

 

研討會論文 Conference Papers

• Lin, H. Y, Lien, J. J, & Chang, Y. N. (2024). Machine Learning in Sports Analytics: Volleyball Match Outcome Prediction. 2024 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
• Garcia, S.D.L.F., Haider, F., Fromm, D., MacWhinney, B., Lanzi, A., Chang, Y. N., Chou, C.J. and Liu, Y.C. (2024). Connected Speech-Based Cognitive Assessment in Chinese and English. Proceedings of Interspeech.
• Hsu, C. C., Chu, J. S., Lu, P. H., & Chang, Y. N. (2024). Sentiment-Driven LSTM Analysis of Bitcoin Price: Uncovering Insights from Tweets and Macroeconomics Data. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC).
• Kuo, C. E., Shi, Y. T., Lin, W. F., & Chang, Y. N. (2023). Exploring the relationships between reading instruction and individual differences in a computational model of reading. Proceedings of the 44th Annual Conference of the Cognitive Science Society, Cognitive Science Society, Austin, TX, U.S.A.
• Branzi, F., Chang, Y. N., Gaele, C., & Alexopoulou, T. (2021). The impact of L2 proficiency on cross-language influence during L2 word processing. Cambridge Open Engage.
• Chang, Y. N., & Lambon Ralph, M. A. (2019). A computationally implemented mechanistic account of post-stroke aphasia. Frontiers in Human Neuroscience.
• Chang, Y. N., Taylor, J. S. H., Rastle, Kathleen, & Monaghan, P. J. (2017). Exploring the relations between oral language and reading instruction in a computational model of reading. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, Austin, Tx: Cognitive Science Society.
• Monaghan, P. J., Chang, Y. N., & Welbourne, S. (2017). Different processes for reading words learned before and after onset literacy. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society, Austin, Tx: Cognitive Science Society.
• Chang, Y. N., Monaghan, P. J., & Welbourne, S. (2016). Effects of experience in a developmental model of reading. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society, Austin, Tx: Cognitive Science Society.
• Lee, C. L., Chang, Y. N., Liu, C. L., Lee, C. Y., & Hsu, J. Y. J. (2014). Unsupervised clustering of morphologically related Chinese words. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society, Quebec City, Canada, July 2014.
• Chang, Y. N., Lambon Ralph, M., Furber, S., & Welbourne, S. (2013). Modelling graded semantic effects in lexical decision. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 310-315). Austin, Tx: Cognitive Science Society.
• Chang, Y. N., Furber, S., & Welbourne, S. (2012). Generating realistic codes for use in neural network models. In N. Miyake, D. Peebles, & R.P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 198-203). Austin, Tx: Cognitive Science Society. 

研究計畫 Projects

• Bridging brain, behaviour, and computation: Cross-language neurocomputational models of processing in English and Chinese (2024-2025, NSTC 113-2410-H-006 -118-, PI)
• Generative AI based Interactive Cognitive Assessment System for Detection of Language Disorders (2024-2025, Google Research Grant, PI)
• Multilingual approaches for early Alzheimer's disease detection through spontaneous speech (2023-2024, NSTC 112-2927-I-006-507, PI)
• Developing a mobile device-based automatic AI assessment for rapid screening of language abnormalities using Chinese spontaneous speech (2023-2024, Google Research Grant, PI).
• Using computational modelling, corpus analysis and neuroimaging techniques to investigate individual differences in reading: the influence of word properties and functional and structural organization of the brain, Ministry of Science and Technology, Taiwan (2021-2024, MOST 110-2423-H-194-001-MY3, PI)
• Language features of Chinese spontaneous speech for early detection of cognitive decline. (2022, Satu Joint Research Scheme, National Cheng Kung University, Taiwan, PI)
• Enhancing fan engagement and immersive multimedia via crowdsourced live streaming for a 5G smart sports stadium (3/4, 2025-2026, NSTC 114-2425-H-006-004, Co-PI)
• Factors influencing lexical selection in multilingual language production (2024-2025, Seed Funding Grant Special Scheme, The Education University of Hong Kong,  Co-PI)
• Designing and Implementing Generative AI Service Robots: Exploring Applications in Companionship and Home Services (1/3, 2024-2025, NSTC 113-2224-E-006 -003-, Co-PI)
• Enhancing fan engagement and immersive multimedia via crowdsourced live streaming for a 5G smart sports stadium (2/4, 2024-2025, NSTC 113-2425-H-006-007, Co-PI)
• Enhancing fan engagement and immersive multimedia via crowdsourced live streaming for a 5G smart sports stadium (1/4, 2023-2024, NSTC 112-2425-H-006-001, Co-PI)
• Crosslinguistic influence in L2 word processing and learning: the role of L1-L2 phonological similarity (2020, Cambridge Language Sciences Incubator Fund, University of Cambridge, UK, Co-PI)

2024/2025

• 仿神經型態計算概論 Introduction to Neuromorphic Computing (Joint course with Assist. Prof. Chao-Hung Wang and Assoc. Prof. Sayani Majumdar, Tampere University)
• 人工智慧運算系統設計專題進階 (Joint course with Prof. Wei-Feng Lin)
• SOC Seminar (Joint course with Assist. Prof. Chao-Hung Wang)

 

2023/2024

• 仿神經型態計算概論 Introduction to Neuromorphic Computing (Joint course with Assist. Prof. Chao-Hung Wang and Assoc. Prof. Sayani Majumdar, Tampere University)
• 計算認知科學 Computational Cognitive Science
• 人工智慧運算系統設計專題 (Joint course with Prof. Wei-Feng Lin)
• SOC Seminar (Joint course with Assist. Prof. Shao-Man Lee)

 

2022/2023

• 仿神經型態計算概論 Introduction to Neuromorphic Computing (Joint course with Assist. Prof. Chao-Hung Wang)
• 計算認知科學 Computational Cognitive Science
• 自然語言處理 Natural Language Processing (Joint course with Assist. Prof. Alan Hsu)
• 智慧運算導論 Introduction to Intelligent Computing (Joint course with Professors at SOC)

 

2021/2022

• 探索可解釋人工智慧於生醫資料科學 (in English) Exploring explainable AI in biomedical data science (Joint course with Assist. Prof. Alan Hsu)
• 仿神經型態計算概論 Introduction to Neuromorphic Computing (Joint course with Assist. Prof. Chao-Hung Wang)
• 計算認知科學 Computational Cognitive Science

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