八月 2023 - Present
1. Design and construct the multi-variable climate downscaling models via machine learning, deep learning methods for precipitation predictions.
2. Create an integrated model for difference climatological simulation models for less computational costs and increasing prediction resolution.
九月 2021 - 二月 2022
1. English Medium Instruction (EMI) of course content in English.
2. Teaching assistant (TA) of Computer Graphics and Data Visualization.
3. Help undergraduate students solving problems.
4. Correct assignment.
八月 2018 - 六月 2021
1. Help and teaching high-school students to solve problems of all-subjects.
2. Teaching and delivering methodology of studying.
3. Arranging answer elaboration of questions of math competitions.
五月 2019 - 六月 2020
1. Increase the capabilities of manufacturing machines and the flows, designs of producing related systems, cooperating with IT, IE and Production Dept.
2. Increase the yield rate of packaging of driver-IC.
3. Analyze the manufacturing data for yield rate issue. 4. Increase the durability and stability of both by establishing SOP, also the TA (OP) orientation.
二月 2017 - 六月 2018
協助會計公文的遞送、歸檔,以及報帳、採購案流程
2021 - 2023
2014 - 2018
六月 2025 到期
We proposed a deep convolutional neural network with skip connections, attention blocks, and auxiliary data concatenation, in order to downscale the low-resolution precipitation of the climate models into high-resolution one.
We compare with other models and show better performance in metrics of Pearson Correction, MAE, RMSE, SSIM, and quantitative precipitation forecast (QPF).