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使用 Flask 建立 Line-bot - https://github.com/twtrubiks/line-bot-oop 爬蟲抓取 PTT 圖片 - https://github.com/twtrubiks/PTT_Beauty_Spider Docker 基本教學 - 從無到有 - https://github.com/twtrubiks/docker-tutorial ODOO 教學 - https://github.com/twtrubiks/odoo-docker-tutorial DRF 教學 - https://github.com/twtrubiks/django-rest-framework-tutorial Git 使用教學 - https://github.com
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高雄應用科技大學
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National ChangHua University of Education
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換機架設、測試及支援MIS故障排除等。 4. 支援美國客戶FAE工作。 學歷中正大學 電子工程 技能 User Experience AI技術應用 Python程式設計、 Machine/Deep Learning: OpenCV、Tensorflow、Keras、CNN、DNN、RNN/LSTM GAN、VAE、AAE、NLP/Jieba GitHub: Detect_drowsiness: https://github.com/mikle1211/detect_drowsiness_demo FaceMaskDetect_YOLO5: https://github.com/mikle1211/FaceMaskDetect_YOLO5 Li...
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張博鈞 "Stay hungry, stay foolish." -- Steve Jobs 對生活充滿好奇心，樂於嘗試不同可能，挖掘自己的可能性，挑戰自我。 Web/App前端工程師工程師 高雄市，TW [email protected] TEL:專業技能 Language ASP.NET MVC WEB API Jquery javascript C# JAVA SWIFT Database SQL SERVER MySQL Other Git/GitHub Windows Server 2016 Linux Bootstrap 工作經歷 資訊工業策進會
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Posición
工程師
Tipo de trabajo
Intern
Ubicación
台灣台北
A distancia
Freelance
No.
Educación
Escuela
台灣大學
Mayor
工程科學及海洋工程
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019
Dennis Lee
李吉昌 Chi-Chang Lee
r08922a27@csie.ntu.edu.tw
https://github.com/ChangLee0903
0972128853
Education
M.Sc. Artificial Intelligence Program in Department of Computer Science and Information Engineering, National Taiwan University
Jan. 2019 - present
B.Sc. Engineering Science and Ocean Engineering, National Taiwan University
Sep. 2015 - Jun. 2019
Work Experience
Visiting Scholar, Yamagishi Laboratory, National Institute of Informatics, Japan
November. 2022 - present, advised by Junichi Yamagishi
Research Assistant, Biomedical Acoustic Signal Processing Lab, Academia Sinica CITI
Mar. 2019 - present, advised by Yu Tsao
Research Assistant, GICE Digital Image and Signal Processing Lab, NTU
Aug. 2018 - Aug. 2019, advised by Jian-Jiun Ding
Teaching Assistant, EE5184: Machine Learning
Sep. 2021 - Jan. 2022, instructed by Pei-Yuan Wu
Teaching Assistant, CommE5030: Time Frequency Analysis and Wavelet Transforms
Sep. 2018 - Jan. 2019, instructed by Jian-Jiun Ding
Undergraduate Project Experience
Cryptography and Network Security - Hash function Analysis with Neural Network
Computer Vision - Face Recognition in low resolution condition
Algorithms - 2019 IC/CAD Contest Problem E Second Place
Publication
D4AM: A General Denoising Framework for Downstream Acoustic Models
Chi-Chang Lee, Yu Tsao, Hsin-Min Wang, and Chu-Song Chen, Accepted on ICLR 2023
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling
Chi-Chang Lee, Cheng-Hung Hu, Yu-Chen Lin, Chu-Song Chen, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2022
SERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning
Chi-Chang Lee, Yu-Chen Lin, Hsuan-Tien Lin, Hsin-Min Wang, and Yu Tsao, Accepted on Interspeech 2020
Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders
Chi-Lun Lin, Kate Ching-Ju Lin, Chi-Chang Lee, and Yu Tsao, Accepted on GLOBECOM 2020
Automatic Chinese Handwriting Verification Algorithm Using Deep Neural Networks
Chi-Chang Lee, Jian-Jiun Ding, Accepted on ISPACS 2019