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4 à 6 ans
6 à 10 ans
10 à 15 ans
Plus de 15 ans
Taipei, Taiwan
Customer Engineer @iKala 愛卡拉互動媒體股份有限公司2022 ~ Présent
・
Dans 2 mois
data analysis. 中原大學, 理學士（BS）, 心理學, 2006 ~ 2008 Technical Skills •Statistical Modeling, Machine Learning(focus on NLP model), EDA and ETL, Feature Engineering. •Python, ELK Stack(Elasticsearch, Logstash, Kibana), Power BI. •Physiological Signal Analysis - GSR, EEG & ERPs, MRI, Heart-rate, Matlab, SPSS. Experience: Deep Learning, JavaScript, HTML, R, Docker, Google Cloud Platform, Azure, AWS. Side Project Data-Driven Urban Flood Warning System, DSP,•Honor: The project was accepted to D4GX 2019 Program Committee as a poster. •Implemented a predict model to predict the risk of urban area
Employé
Temps plein
4 à 6 ans
國立中央大學
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Professional Background
Statut Actuel
Étudiant
Progrès de la Recherche d'Emploi
Professions
Data Scientist
Fields of Employment
Expérience Professionnelle
Moins de 1 an
Management
None
Compétences
Langues
English
・
Courant
Job search preferences
Position Désirée
SW/FW Intern
Type d'emploi
Temps plein
Lieu Désiré
台灣台北, 台灣新竹市新竹
Travail à distance
Intéressé par le travail à distance
Freelance
Oui, je suis indépendant à temps partiel
Éducation
École
National Taiwan University
Spécialisation
Electronic Design Automation
學歷
碩士 國立臺灣大學 電子工程學研究所 電子設計自動化組 2019/9 ~ 現今 GPA 4.13 / 4.30
指導教授： 郭斯彥教授
學士 國立中央大學 電機工程學系 2015 ~ 2019 GPA 3.64 / 4.00
碩士論文
基於輪廓波的泛用除雨條紋深度神經網路
有雨場景拍到的圖片含有不同方向的雨以及原本場景的邊緣，現有方法無法很好的分離雨和背景，經實驗發現，透過輪廓波可以捕捉到不同方向、尺寸特徵的性質以及雨條紋，將除雨的問題變成還原輪廓波轉換得到的係數，並透過具有不同尺度感受野的卷積神經網路 (CNN) 得到極佳的還原結果；損失函數的設計上，根據輪廓波多階層的特性提出了多階層判別器 (Multi-level discriminator)，使還原的結果更逼真，實驗結果顯示，提出的方法不論在合成或現實的資料集皆得到最好的還原結果。
準備投稿至 IEEE Transactions on Image Processing
論文發表
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Cheng-Che Tsai, Wei-Ting Chen, Hao-Yu Feng, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo
British Machine Vision Conference (BMVC), 2021.
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss
Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Cheng-Lin Hsieh, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo
IEEE International Conference on Computer Vision (ICCV), 2021.
All Characteristics Preservation: Single Image Dehazing based on Hierarchical Detail Reconstruction Wavelet Decomposition Network
Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Jian-Jiun Ding, and Sy-Yen Kuo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep., 2021.
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal
Wei-Ting Chen, Hao-Yu Feng, Jian-Jiun Ding, Cheng-Che Tsai, and Sy-Yen Kuo
European Conference on Computer Vision (ECCV), Aug., 2020.
修課紀錄
- 電腦視覺
- 演算法
- 時頻分析和小波轉換
程式語言
Python, Matlab, C++
機器學習框架
Pytorch, Keras
學歷
碩士 國立臺灣大學 電子工程學研究所 電子設計自動化組 2019/9 ~ 現今 GPA 4.13 / 4.30
指導教授： 郭斯彥教授
學士 國立中央大學 電機工程學系 2015 ~ 2019 GPA 3.64 / 4.00
碩士論文
基於輪廓波的泛用除雨條紋深度神經網路
有雨場景拍到的圖片含有不同方向的雨以及原本場景的邊緣，現有方法無法很好的分離雨和背景，經實驗發現，透過輪廓波可以捕捉到不同方向、尺寸特徵的性質以及雨條紋，將除雨的問題變成還原輪廓波轉換得到的係數，並透過具有不同尺度感受野的卷積神經網路 (CNN) 得到極佳的還原結果；損失函數的設計上，根據輪廓波多階層的特性提出了多階層判別器 (Multi-level discriminator)，使還原的結果更逼真，實驗結果顯示，提出的方法不論在合成或現實的資料集皆得到最好的還原結果。
準備投稿至 IEEE Transactions on Image Processing
論文發表
ContourletNet: A Generalized Rain Removal Architecture Using Multi-Direction Hierarchical Representation
Cheng-Che Tsai, Wei-Ting Chen, Hao-Yu Feng, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo
British Machine Vision Conference (BMVC), 2021.
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss
Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Cheng-Lin Hsieh, I-Hsiang Chen, Jian-Jiun Ding, and Sy-Yen Kuo
IEEE International Conference on Computer Vision (ICCV), 2021.
All Characteristics Preservation: Single Image Dehazing based on Hierarchical Detail Reconstruction Wavelet Decomposition Network
Wei-Ting Chen, Hao-Yu Feng, Cheng-Che Tsai, Jian-Jiun Ding, and Sy-Yen Kuo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep., 2021.
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal
Wei-Ting Chen, Hao-Yu Feng, Jian-Jiun Ding, Cheng-Che Tsai, and Sy-Yen Kuo
European Conference on Computer Vision (ECCV), Aug., 2020.
修課紀錄
- 電腦視覺
- 演算法
- 時頻分析和小波轉換
程式語言
Python, Matlab, C++
機器學習框架
Pytorch, Keras