Research Assistant
I am Yu-Wen Tseng, a Ph.D. student at National Taiwan University, specializing in Computer Science research.
My research interests include machine learning, artificial intelligence, and data science. I am committed to exploring the potential of emerging technologies in practical applications and hope to make positive contributions to society through academic research.
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National Taiwan UniversityDepartment of Computer Science and Information Engineering
Ph.D. Student2023 - Present -
National Yang Ming Chiao Tung UniversityM.S. in Institue of Electronics2021 - 2023 -
National Yang Ming Chiao Tung UniversityB.S. in Electronic Engineering and Computer Science Honors Program2017 - 2021
Honors & Awards
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Epson Innovation Contest Finalist2025
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Ministry of Education PhD Scholarship2024
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Hon Hai Technology Award2024
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FamilyMart AI Scholarship2023
News
Selected Publications (view all )
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Your Name, James Wang, Some Other Name, John Doe
International Conference on Machine Learning (ICML) 2024 Spotlight
Photo by Pineapple Supply Co. on Unsplash. Please put a tldr (too-long-didnt-read, 1~2 sentences) of your publication here. It is not recommended to put the actual abstract here because it is usually too long to fit in. $\LaTeX$ is supported. $a=b+c$.
Convallis a cras semper auctor neque vitae rutrum quisque non tellus orci ac
Your Name, James Wang, Some Other Name, John Doe
International Conference on Machine Learning (ICML) 2024 Spotlight
Photo by Pineapple Supply Co. on Unsplash. Please put a tldr (too-long-didnt-read, 1~2 sentences) of your publication here. It is not recommended to put the actual abstract here because it is usually too long to fit in. $\LaTeX$ is supported. $a=b+c$.
Deep Learning Model Optimization: An Improved Approach Based on Attention Mechanisms
Yu-Wen Tseng*, Xiao-Ming Li, Da-Ming Wang, Xiao-Hua Chen (* equal contribution)
International Conference on Machine Learning (ICML) 2024
This study proposes a deep learning model optimization method based on attention mechanisms, which can effectively improve model performance on natural language processing tasks. Experimental results show that our method achieves significant improvements on multiple benchmark datasets.
Deep Learning Model Optimization: An Improved Approach Based on Attention Mechanisms
Yu-Wen Tseng*, Xiao-Ming Li, Da-Ming Wang, Xiao-Hua Chen (* equal contribution)
International Conference on Machine Learning (ICML) 2024
This study proposes a deep learning model optimization method based on attention mechanisms, which can effectively improve model performance on natural language processing tasks. Experimental results show that our method achieves significant improvements on multiple benchmark datasets.
Neural Network Architecture Design: A Comprehensive Survey from Theory to Practice
Yu-Wen Tseng, Xiao-Mei Zhang, Xiao-Qiang Liu
Journal of Machine Learning Research (JMLR) 2023
This paper provides a comprehensive survey of recent advances in neural network architecture design, covering various aspects from theoretical foundations to practical applications. We analyze the advantages and disadvantages of different architectures and propose directions for future development.
Neural Network Architecture Design: A Comprehensive Survey from Theory to Practice
Yu-Wen Tseng, Xiao-Mei Zhang, Xiao-Qiang Liu
Journal of Machine Learning Research (JMLR) 2023
This paper provides a comprehensive survey of recent advances in neural network architecture design, covering various aspects from theoretical foundations to practical applications. We analyze the advantages and disadvantages of different architectures and propose directions for future development.
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Your Name*, Robert White*, John Doe, Charles Green (* equal contribution)
Nature Communications 2023
Cover image is a photo by Thomas Renaud on Unsplash. The abstract of the publication is meant to be a TLDR (very brief summary with 1~2 sentences) of your paper.
Lorem ipsum: Dolor sit amet, consectetur adipiscing elit
Your Name*, Robert White*, John Doe, Charles Green (* equal contribution)
Nature Communications 2023
Cover image is a photo by Thomas Renaud on Unsplash. The abstract of the publication is meant to be a TLDR (very brief summary with 1~2 sentences) of your paper.