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DevOps @nodereal2022 ~ Présent
・
SRE /DevOps engineer
Dans 1 mois
Deploy On-Premise Kubernetes cluster and operation tasks like monitoring, scaling up/down nodes, troubleshooting, and root cause analysis Designed and built ML platform core features, like model management, advanced deployment strategy, event-drive automation workflow De-dependency ML pipelines(MLOps) and leverage GitOps for continuous deployment supported 10+ machine learning services, accumulated 20 million+ API requests since theplatform launched, and 99.9% Monthly Uptime Percentage SLA smart recommendation service Resolving data scientist requirement Kubernetes/ golang /spark/airflow Introduces spark-operator solution for big data ETL in airflow k8s executor Design and implement
Employé
・
Ne recherche pas de nouvelles opportunités
Temps plein / Intéressé par le travail à distance
6 à 10 ans
元智大學 Yuan Ze University
・
CSE
演算法工程師
Plus d'1 an
楊閔翔 2013年畢業於中興大學研究所之後,主要經歷皆致力於以人工智慧進行影像辨識相關之演算法開發,從最早期的descriptor + machine learning,到這幾年開始使用deep learning,工作中經歷學界和業界的轉換,因此能同時掌握最新技術,並在實務上使用並取得成果 TW
Employé
Temps plein / Intéressé par le travail à distance
6 à 10 ans
中興大學
・
資訊工程
A.I Reseacher @Taipei Medical University2019 ~ Présent
・
Algorithm Engineer/ Data Scientist/ Sr. Project Management
Plus d'1 an
Temps plein / Intéressé par le travail à distance
4 à 6 ans
Taipei Medical University
・
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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.
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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
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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