資訊科學與工程研究所 • 2020/02 - Now. 新竹市, 台灣
資訊工程學系 • 2016/09 - 2020/01. 彰化縣, 台灣
設計與實作可執行的作業系統,以樹梅派為硬體測試平台,OS 撰寫臨摹 Linux OS 的功能與撰寫風格,功能包含 Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory, etc;專案實作上需熟悉 C 語言、ARM 組合語言、樹梅派硬體架構、編譯器/連結器、作業系統、虛擬記憶體等相關知識。
碩班起,持續研究與實作各種 AI、CV 領域相關知識及專案,主要以 2D 影像、3D 點雲的方向著手,包括影像分類、物體偵測、實例分割、圖片超解析度、風格轉換、3D 重建、Kaggle 競賽等等;常自主學習線上 AI 相關課程 (e.g. Stanford CS231n、台大李宏毅 ML) 。
實作 WiFi 評估系統,提出更精確 WiFi 效能評估方式為主要方向;實作上分為兩部分,分別是 Android APP 開發與網頁前後端建構,結合無線區域網路知識背景作為專案開發基礎,作為專題組長與其餘 3 位專題組員共同開發。
作業系統設計與實作 https://github.com/Yunyung/Operating-Systems-Design-and-Implementation-osc2021
Medium部落格分享 https://yungyung7654321.medium.com
Kaggle 競賽參與 https://github.com/Yunyung/Global-Wheat-Detection-Competition
影像分類 https://github.com/Yunyung/CarClassifier
物體偵測 https://github.com/Yunyung/Object-Detector-on-SVHN-DatasetsObject Detection
實例分割 https://github.com/Yunyung/Instance-Segmentation-on-Tiny-PASCAL-VOC-DatasetInstance Segmentation
圖片生成 https://colab.research.google.com/drive/1ecb4-tImhe2CD6DSzxJtt63CAxt2c_Ap
圖像超解析度 https://github.com/Yunyung/EDSR-Super-ResolutionEDSR-Super-Resolution
Institute of Computer Science and Engineering • February 2020 - Present
Dept. of Computer Science and Information Engineering • September 2016 - January 2020
Design and implement the operating system kernel from scratch based on Raspberry PI. Implementation and coding style refer to Linux OS. OS features include Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory.
Implement various projects with strong artificial intelligence and computer vision knowledge such as image classification and segmentation, object detection, super resolution, 3D reconstruction, style transfer for 2D image and 3D point cloud. Participate in Kaggle competitions and take the initiative to learn new AI technology with online courses and materials.
Computer Architecture • Parallel Programming • Software Testing • Computer Graphics • Data Mining • Algorithms and Data structures • Web Development • Database • Verilog and FPGA • Probability • Computer Network • Network Security • Cryptography • Debugging Tools • Assembly Language
資訊科學與工程研究所 • 2020/02 - Now. 新竹市, 台灣
資訊工程學系 • 2016/09 - 2020/01. 彰化縣, 台灣
設計與實作可執行的作業系統,以樹梅派為硬體測試平台,OS 撰寫臨摹 Linux OS 的功能與撰寫風格,功能包含 Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory, etc;專案實作上需熟悉 C 語言、ARM 組合語言、樹梅派硬體架構、編譯器/連結器、作業系統、虛擬記憶體等相關知識。
碩班起,持續研究與實作各種 AI、CV 領域相關知識及專案,主要以 2D 影像、3D 點雲的方向著手,包括影像分類、物體偵測、實例分割、圖片超解析度、風格轉換、3D 重建、Kaggle 競賽等等;常自主學習線上 AI 相關課程 (e.g. Stanford CS231n、台大李宏毅 ML) 。
實作 WiFi 評估系統,提出更精確 WiFi 效能評估方式為主要方向;實作上分為兩部分,分別是 Android APP 開發與網頁前後端建構,結合無線區域網路知識背景作為專案開發基礎,作為專題組長與其餘 3 位專題組員共同開發。
作業系統設計與實作 https://github.com/Yunyung/Operating-Systems-Design-and-Implementation-osc2021
Medium部落格分享 https://yungyung7654321.medium.com
Kaggle 競賽參與 https://github.com/Yunyung/Global-Wheat-Detection-Competition
影像分類 https://github.com/Yunyung/CarClassifier
物體偵測 https://github.com/Yunyung/Object-Detector-on-SVHN-DatasetsObject Detection
實例分割 https://github.com/Yunyung/Instance-Segmentation-on-Tiny-PASCAL-VOC-DatasetInstance Segmentation
圖片生成 https://colab.research.google.com/drive/1ecb4-tImhe2CD6DSzxJtt63CAxt2c_Ap
圖像超解析度 https://github.com/Yunyung/EDSR-Super-ResolutionEDSR-Super-Resolution
Institute of Computer Science and Engineering • February 2020 - Present
Dept. of Computer Science and Information Engineering • September 2016 - January 2020
Design and implement the operating system kernel from scratch based on Raspberry PI. Implementation and coding style refer to Linux OS. OS features include Kernel Shell, Bootloader, Memory Allocator, Exception and Interrupt, Multi-thread, Virtual File System, File System, Device Driver, Virtual Memory.
Implement various projects with strong artificial intelligence and computer vision knowledge such as image classification and segmentation, object detection, super resolution, 3D reconstruction, style transfer for 2D image and 3D point cloud. Participate in Kaggle competitions and take the initiative to learn new AI technology with online courses and materials.
Computer Architecture • Parallel Programming • Software Testing • Computer Graphics • Data Mining • Algorithms and Data structures • Web Development • Database • Verilog and FPGA • Probability • Computer Network • Network Security • Cryptography • Debugging Tools • Assembly Language