Image Application of Neural Network - Master Thesis: Dual Attention Network Approaches to Face Forgery Video Detection This study designed a Dual Attention for Forgery Detection Network (DAFDN), which uses spatial reduction attention block (SRAB) and forgery feature attention module (FFAM) applied to the backbone network. DAFDN embeds the two proposed attention mechanisms and enables the network to extract the peculiar traces left by the warping of images. - Project 1. Deep Fake Detection This case cooperates with Institute for Information Industry (III). 2. Ministry of Science and Technology Project: 5G & Tactile Internet In this project, I participated in the preliminary literature discussion and the content planning of the project.

- NTCUST CSIE NLPLab Major in Natural Language Processing. - Competition 1. IET-FRONTIER INNOVATION AWARD COMPETITION 2019 in japan 2. 2019 Artificial Intelligence Internet of Things Innovation Application Competition at National Cheng Kung University. - Project Customer service chatBot's semantic research and optimization with National Cheng Kung University and Tamkang University. In this project, I give every word weight in the sentence that depends on their relationship. I calculate TF-IDF value and Word2Vec weight by own words importance weight evaluation formula (WIWE). - Conference Service Experience IET Conference at NTCUST in Taichung City. I'm responsible for the task of guiding participants.