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Available for paid companies
Senior Software Engineer & Feature Product Manager @聯發科
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2022 ~ Present
資深軟體工程師
Within one month
C++
Python
Machine Learning
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立師範大學附屬高級中學
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高鈺傑
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資深前端工程師 @比房科技
・
2022 ~ 2024
Frontend developer.
Within one month
development, and the establishment of design guidelines. Tech Stack: Vue3, Pinia, Vuex, Cypress, Typescript, Google analytics, Google Tag Management, Chrome Extention, Leaflet Map Senior Backend Engineer AD POST | 2021/Q/Q2 Development of a new product using Laravel and AWS-related frameworks and technologies. Developed new features while simultaneously evaluating the benefits of development, thereby enhancing the company's internal efficiency and market-facing capabilities. Tech Stack: Aws, Laravel, PHP, Google analytics, Google Tag, Google Ads Freelance/others 2020/Q/Q2 Planned, developed, and conducted business development from scratch, culminating in the
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Jimmy Lu
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Lead of Country Product Manager @Asus 華碩電腦股份有限公司
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2022 ~ 2023
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Within one month
a 200% increase in partnership revenue . Provided visionary team leadership and mentorship, empowering team members to excel in their roles and contribute to overall success. Implemented leadership development programs resulting in a 50% increase in employee satisfaction and retention. Product Manager • ASUSTeK Computer Indonesia JulJun 2022 | Jakarta, Indonesia Key responsibilities & Achievements - #PLM #GTM #design thinking #channel expansion #data analysis Strategically managed the entire product lifecycle of consumer notebooks, from ideation to end-of-life, ensuring timely launches, feature enhancements, and product retirements. Conducted comprehensive competitive analysis to ident...
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國立陽明交通大學(National Yang Ming Chiao Tung University)
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Bachelor of management , Management of Transportation and Logistics
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Avatar of 張鴻霖.
張鴻霖
Front-End Developer @Storipress
・
2022 ~ Present
網頁前端工程師
Within one month
HUNG-LIN CHANG Taipei City, Taiwan Bachelor, Computer Science and Information Engineering, National Chung Cheng UniversityEXPERIENCE Front-End Developer • Storipress MarPresent 1. Contributed to Karbon and vue-advertising for product utilization, enabling users to customize editor components and integrate paid advertisements. 2. Developed editor features (e.g., user mention, gallery, rich media) with Tiptap and ProseMirror, enhancing user engagement rate 3. Enabled real-time article content sync using Tiptap collaboration and IndexedDB eliminating any sync latency 4. Integrated OpenAI for article content generation, empowering users to generate tailored content based on their needs
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國立中正大學
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資訊工程學系
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呂仲修
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Chang, Rita Kuo, Kuo-Chen LiRole Playing Game Quest Design in Multiplayer Educational Game. In the Proceedings of 22nd Global Chinese Conference on Computers in Education (GCCCE 2018), Guangzhou, China, May 25-29, 2018,Best Technical Papaer Award) Zhong-Xiu Lu, Maiga Chang, Rita Kuo, and Vivekanandan KumarIncorporating Farming Feature into MEGA World for Improving Learning Motivation. In the Proceedings of 27th International Conference on Computers in Education, Kenting, Taiwan, December 2-6,in-press) Rita Kuo, Cheng-Li Chen, Zhong-Xiu Lu, Maiga Chang, & Hung-Yi ChangEducational Reward Information Communication API (ERIC API): A Preliminary Study Result
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Athabasca University
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Master of Science in Information Systems
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NIKHIL RAO KODATI
Full stack software Develpoer @Avidbots India private Limited
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2023 ~ Present
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Created intuitive user interface using HTML , CSS , Angular Js , React Native , Angular , and JavaScript , ensuring great user experience. Played a key role in creating and refining APIs to optimize data exchange. Addressed time complexity challenges to enhance application performance. Efficiently deployed feature enhancements to testing environments using bit bucket pipelines and deployed features to different environments using Kubernetes Actively participated in retrospectives to refactor existing methods and enhance code maintainability and scalability. Maintained proactive communication with the team members on peer reviews and address various issues on a timely manner. Software Engineer ...
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Docker Compose
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Vasavi college of Engineering
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Bachelor of Engineering
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Avatar of Leo Wu.
Leo Wu
Senior Front-End Engineer @TonFura
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2023 ~ Present
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.js, Ant Design, Material UI, Jest DevOps and Tools: Docker, Jenkins, GitLab CI/CD Work Experience TonFura, Senior Front-End Engineer, Jun 2023 ~ Present Spearheaded the maintenance and enhancement efforts for Tonkey , an advanced project introducing multi-signature functionality to the TON blockchain. Activities included: Adding new features to enrich the user experience and extend product functionality. Establishing a robust unit testing environment and developing comprehensive test suites to ensure code quality, reliability, and integrity of the application, preventing regressions. Overhauling the UI to enhance aesthetics, improve usability, and ensure support for responsive design, ensuring
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Computer Science and Information Engineering
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2020 ~ 2024
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Xcode
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6-10 years
國立臺北大學 National Taipei University
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Business Administration
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Douglas Yin
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2022 ~ 2024
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focus on customer satisfaction and brand diversity, enhancing the shopping experience for buyers across multiple sectors Managed an eCommerce platform specializing in the sale of toiletries and perfume, offering a diverse range of brands. Oversaw multi-brand retail operations, facilitating customer access to various options, enabling comparison of prices, features, and specific requirements. Director of Global Business Strategy 17LIVE Inc. JunSept 2020 Hong Kong Reason of leaving: Due to the pandemic, position made redundant. Director, Global Business Strategy (United States/ MENA) Country Head of Hong Kong, Malaysia and Singapore Provided strategic support to launch a
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City University of Hong Kong
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Marketing
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Sr. Full Stack Engineer @類神經網路股份有限公司
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2021 ~ Present
資深程式設計師
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Android
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輔仁大學 Fu Jen Catholic University
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Computer Science and Information Engineering

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Avatar of 李慕全(MuChuan Li).
李慕全(MuChuan Li)
Computer Vision Engineer
Logo of Taron Solutions Limited.
Taron Solutions Limited
・
2023 ~ 2023
New Taipei City, 台灣
Professional Background
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Job Search Progress
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Machine Learning Engineer, Data Scientist, Software Engineer
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Artificial Intelligence / Machine Learning, Big Data, Software
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linux
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國立臺北科技大學
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資訊工程
Print

李慕全(MuChuan Li)

        畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物件偵測，多物件追蹤。熱衷於探索新事物並與團隊合作解決技術難題，將想法落地為產品。

         

  : [email protected]

工作經驗

Service Provider  •  Taron Solutions Limited

五月 2023 - 十月 2023

數據搜集及資料預處理：

• 開發爬蟲系統：使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章，爬取網站包含：PubMed、Google Patent、Internet Archive Scholar。

• 資料清理：將文章內容依照公司標準做整理，並新增數據至公司資料庫。

技術：Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL

微算機系統實習 課程助教  •  國立臺北科技大學(National Taipei University of Technology, Taipei Tech)

二月 2022 - 七月 2022

• 設計課程內容並提供同學作業及專案實作輔助。課程內容為實作網頁介面，並應用NVIDIA tx2嵌入式系統搭配感測器實際打造物聯網系統。

技術：物聯網、Linux、Nodejs、Qt

計畫研究員  •  台中榮民總醫院

二月 2020 - 七月 2020

• 開發x光片器官辨識系統，透過分類模型判斷所拍攝的器官是否符合醫生要求，系統正確率高達96%。

技術：TensorFlow、Google Inception v3

運算思維與程式設計 課程助教  •  東海大學 Tunghai University

九月 2018 - 七月 2020

• 協助修課同學培養程式設計邏輯，並實作C/C++及java基礎程式。

技術：C/C++、Java

產品開發兼共同創辦人  •  宏謐科技有限公司(Homie)

三月 2019 - 七月 2019

• 開發Homie-lock智慧加裝裝置。

• 獲得創新創業教育計畫的 10 萬新台幣贊助。

• 參加 Acer 龍騰微笑智聯網在 800 多參賽隊伍中入選 12 強決賽。

技術：物聯網、Raspberry Pi、Linux、Python、SolidWorks

專案開發經驗

智慧交通路側重辨識系統

實驗室產學合作案(資策會)

在台北市路口架設攝影機捕捉路況，透過偵測模型及追蹤模型捕捉各物件的序列影像，並使用特徵提取模型對該影像提取物件特徵，最終將資訊存於資料庫中。

技術：YOLOv4、DeepSort、DGNet

車周物件追蹤系統

實驗室產學合作案(義隆電子)

自駕車系統必須依據車周資訊決定車輛行為。透過在車體四周加裝攝影機並搭載物件偵測及追蹤模型，可使車體更了解周圍路況，以此做出後續決策。

技術：YOLOR、Bytetrack

大客車內輪差區域交通物件警報系統

實驗室產學合作案(義隆電子)

大型車在轉彎時，前後輪會造成巨大內輪差，而該區域亦為視野盲區，因此需要警報系統提醒駕駛者。透過大客車的前後輪距離計算內輪差區域，並透過加裝鏡頭結合物件偵測技術實現此系統。

技術：YOLOv7

Homielock智慧加裝裝置

宏謐科技有限公司(Homie)

本團隊開發一款HomiLock智慧加裝裝置，只需將本產品固定於RFID電子鎖的感應區，就能實現手機開鎖的功能。可應用於使用RFID電子鎖的旅宿業者，以最低的成本升級成智慧鎖，實現智慧旅宿的願景。

技術：物聯網、Raspberry Pi、Python、SolidWorks

以增強實例特徵學習實現高準確度多物件追蹤模型

碩士畢業論文

將物件偵測與追蹤兩階段模型改為一多任務模型，並加強實例特徵學習方法，採用soft label的label assignment策略，選取盡可能多的有效正樣本當作實例特徵。同時改良實例特徵訓練損失函數，確保樣本最大化被訓練。

技術：JDE、FairMOT、YOLOv7

結合邊緣計算及害蟲影像識別之智慧溫室監控系統

大學畢業專題

監控系統透過各式感測器測量溫室環境資訊，依據數據自動控制設備運作，也可由網頁與手機App觀察及控制溫室設備。害蟲影像辨識系統之硬體使用Raspberry pi4搭載Neural compute stick2。由於邊緣端硬體條件不佳，團隊使用OpenVINO將訓練完的辨識模型優化，加速邊緣端推論速度。

技術：物聯網、Tensorflow、OpenVINO

應用金融文章分析股市漲跌

課程專案

應用爬蟲工具(Beautifulsoup)抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。

技術：NLP、Beautifulsoup、opencc、snownlp、Matplotlib

台灣景氣指標預測模型

side project

使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。

技術：Pytorch、Pandas、Numpy、Sklearn

論文發表

• Chen, X. Z., Li, M. C., & Chen, Y. L. (2024, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE.

• Li, M. C., Chen, X. Z., & Chen, Y. L. (2023, July). Unified Object Detection Model for Image Style Convertible Modalities. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE- Taiwan) (pp. 721-722). IEEE.

• Chen, X. Z., Peng, C., Li, M. C., & Chen, Y. L. (2022, April). Vehicle re-identification system for road side unit application. In International Workshop on Advanced Imaging Technology (IWAIT) 2022 (Vol. 12177, pp. 172-177). SPIE.

證書

Fundamentals of Deep Learning for Computer Vision - NVIDIA

物件偵測專題實作班 - 台灣人工智慧學校

學歷

國立臺北科技大學 碩士

資訊工程所  •  2021 - 2023 ・3.85/4 GPA

畢業論文：以增強實例特徵學習實現高準確度多物件追蹤模型

研究領域：物件偵測、多物件追蹤、物件重辨識。

東海大學 學士

資訊工程  •  2016 - 2020

畢業專題：結合邊緣計算及害蟲影像識別之智慧溫室監控系統 (畢業專題競賽第三名)。

課外經驗：

  • AIESEC國際經濟商管學生會 - Marketing Member (2016/09-2017/07)
  • 東海大學資訊工程學系學會 - 公關長 (2017/09-2018/07)
  • 東海大學國際處 - 國際志工 (2019/09-2020/07)
  • 東海大學資訊工程學系 - 畢業生致詞代表 (2020/07)

碩士課程

機器學習

從數學統計角度學習機器學習背後的運作原理。內容包含：supervised learning、decision tree、optimization、back propagation、loss value、model estimation、dimension reduction...等數學推導。

技術：機率統計、線性代數

高等電腦視覺

使用C/C++手刻及使用OpenCV套件對影像進行處理，內容包含：Mathematical morphology、Image stitching、Stereo Correspondence、以及3D Reconstruction(SLAM)...等技術實作。

技術：C/C++、OpenCV、電腦視覺、影像處理

嵌入式智慧影像分析與實境介面

透過軌道競速和自動避障兩個專案實作，實際打造自走車。從搜集自走車影像，到資料清理與擴增，並以此訓練各式深度學習模型，最終將模型輕量化後放置邊緣端的NVIDIA JetBot自走車上。

技術：Linux、影像處理、物件偵測(YOLOv4-tiny)、Reinforcement Learning (DQN)、模型輕量化(TensorRT)

樣式導向軟體設計

從Design Pattern的角度實際開發系統，透過開發過程更深瞭解物件導向以及Pattern的使用方式。

技術：C/C++、單元測試(GoogleTest)、Design Pattern、TDD、OOP

軟體工程

搭建專案管理系統，透過網頁來串接Github、Sonarqube、Jenkins，Trello等輔助專案開發工具，並以Plan-driven及敏捷開發(Scrum)的方式去完成此專案。過程中，也透過撰寫PEP及SRS專案開發文件演練軟體工程師的團隊開發過程。

技術：JAVA、Angular、Node.js、MySQL

電腦動畫

搭建網頁，並在網頁上呈現建模後的虛擬人物。

技術：HTML、CSS、JavaScript、Unity

技能

  • Machine Learning
  • Computer Vision
  • Pytorch/Tensorflow
  • OpenCV
  • C/C++ (OOP)
  • Linux

語言

  • Chinese — 母語或雙語
  • English — 進階
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李慕全(MuChuan Li)

        畢業於國立臺北科技大學資工所，研究領域為深度學習、電腦視覺、及影像處理。在學期間致力於應用電腦視覺技術解決交通問題，擁有多項產學合作的專案開發經驗，亦在電腦視覺領域中發表過多篇學術論文，主要研究主題包含物件偵測，多物件追蹤。熱衷於探索新事物並與團隊合作解決技術難題，將想法落地為產品。

         

  : [email protected]

工作經驗

Service Provider  •  Taron Solutions Limited

五月 2023 - 十月 2023

數據搜集及資料預處理：

• 開發爬蟲系統：使用者只需設定關鍵字即可自動爬取各大醫學論文網站當今的文章，爬取網站包含：PubMed、Google Patent、Internet Archive Scholar。

• 資料清理：將文章內容依照公司標準做整理，並新增數據至公司資料庫。

技術：Python、Beautiful Soup、Selenium、Prompt Engineering、MySQL

微算機系統實習 課程助教  •  國立臺北科技大學(National Taipei University of Technology, Taipei Tech)

二月 2022 - 七月 2022

• 設計課程內容並提供同學作業及專案實作輔助。課程內容為實作網頁介面，並應用NVIDIA tx2嵌入式系統搭配感測器實際打造物聯網系統。

技術：物聯網、Linux、Nodejs、Qt

計畫研究員  •  台中榮民總醫院

二月 2020 - 七月 2020

• 開發x光片器官辨識系統，透過分類模型判斷所拍攝的器官是否符合醫生要求，系統正確率高達96%。

技術：TensorFlow、Google Inception v3

運算思維與程式設計 課程助教  •  東海大學 Tunghai University

九月 2018 - 七月 2020

• 協助修課同學培養程式設計邏輯，並實作C/C++及java基礎程式。

技術：C/C++、Java

產品開發兼共同創辦人  •  宏謐科技有限公司(Homie)

三月 2019 - 七月 2019

• 開發Homie-lock智慧加裝裝置。

• 獲得創新創業教育計畫的 10 萬新台幣贊助。

• 參加 Acer 龍騰微笑智聯網在 800 多參賽隊伍中入選 12 強決賽。

技術：物聯網、Raspberry Pi、Linux、Python、SolidWorks

專案開發經驗

智慧交通路側重辨識系統

實驗室產學合作案(資策會)

在台北市路口架設攝影機捕捉路況，透過偵測模型及追蹤模型捕捉各物件的序列影像，並使用特徵提取模型對該影像提取物件特徵，最終將資訊存於資料庫中。

技術：YOLOv4、DeepSort、DGNet

車周物件追蹤系統

實驗室產學合作案(義隆電子)

自駕車系統必須依據車周資訊決定車輛行為。透過在車體四周加裝攝影機並搭載物件偵測及追蹤模型，可使車體更了解周圍路況，以此做出後續決策。

技術：YOLOR、Bytetrack

大客車內輪差區域交通物件警報系統

實驗室產學合作案(義隆電子)

大型車在轉彎時，前後輪會造成巨大內輪差，而該區域亦為視野盲區，因此需要警報系統提醒駕駛者。透過大客車的前後輪距離計算內輪差區域，並透過加裝鏡頭結合物件偵測技術實現此系統。

技術：YOLOv7

Homielock智慧加裝裝置

宏謐科技有限公司(Homie)

本團隊開發一款HomiLock智慧加裝裝置，只需將本產品固定於RFID電子鎖的感應區，就能實現手機開鎖的功能。可應用於使用RFID電子鎖的旅宿業者，以最低的成本升級成智慧鎖，實現智慧旅宿的願景。

技術：物聯網、Raspberry Pi、Python、SolidWorks

以增強實例特徵學習實現高準確度多物件追蹤模型

碩士畢業論文

將物件偵測與追蹤兩階段模型改為一多任務模型，並加強實例特徵學習方法，採用soft label的label assignment策略，選取盡可能多的有效正樣本當作實例特徵。同時改良實例特徵訓練損失函數，確保樣本最大化被訓練。

技術：JDE、FairMOT、YOLOv7

結合邊緣計算及害蟲影像識別之智慧溫室監控系統

大學畢業專題

監控系統透過各式感測器測量溫室環境資訊，依據數據自動控制設備運作，也可由網頁與手機App觀察及控制溫室設備。害蟲影像辨識系統之硬體使用Raspberry pi4搭載Neural compute stick2。由於邊緣端硬體條件不佳，團隊使用OpenVINO將訓練完的辨識模型優化，加速邊緣端推論速度。

技術：物聯網、Tensorflow、OpenVINO

應用金融文章分析股市漲跌

課程專案

應用爬蟲工具(Beautifulsoup)抓取金融新聞，將繁體文章標題與內文透過語言轉換工具(opencc)轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。

技術：NLP、Beautifulsoup、opencc、snownlp、Matplotlib

台灣景氣指標預測模型

side project

使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。

技術：Pytorch、Pandas、Numpy、Sklearn

論文發表

• Chen, X. Z., Li, M. C., & Chen, Y. L. (2024, January). Strategies for Helping Anchor-Based Trackers Learn re-ID Features for Smart City Surveillance. In 2024 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-2). IEEE.

• Li, M. C., Chen, X. Z., & Chen, Y. L. (2023, July). Unified Object Detection Model for Image Style Convertible Modalities. In 2023 International Conference on Consumer Electronics-Taiwan (ICCE- Taiwan) (pp. 721-722). IEEE.

• Chen, X. Z., Peng, C., Li, M. C., & Chen, Y. L. (2022, April). Vehicle re-identification system for road side unit application. In International Workshop on Advanced Imaging Technology (IWAIT) 2022 (Vol. 12177, pp. 172-177). SPIE.

證書

Fundamentals of Deep Learning for Computer Vision - NVIDIA

物件偵測專題實作班 - 台灣人工智慧學校

學歷

國立臺北科技大學 碩士

資訊工程所  •  2021 - 2023 ・3.85/4 GPA

畢業論文：以增強實例特徵學習實現高準確度多物件追蹤模型

研究領域：物件偵測、多物件追蹤、物件重辨識。

東海大學 學士

資訊工程  •  2016 - 2020

畢業專題：結合邊緣計算及害蟲影像識別之智慧溫室監控系統 (畢業專題競賽第三名)。

課外經驗：

  • AIESEC國際經濟商管學生會 - Marketing Member (2016/09-2017/07)
  • 東海大學資訊工程學系學會 - 公關長 (2017/09-2018/07)
  • 東海大學國際處 - 國際志工 (2019/09-2020/07)
  • 東海大學資訊工程學系 - 畢業生致詞代表 (2020/07)

碩士課程

機器學習

從數學統計角度學習機器學習背後的運作原理。內容包含：supervised learning、decision tree、optimization、back propagation、loss value、model estimation、dimension reduction...等數學推導。

技術：機率統計、線性代數

高等電腦視覺

使用C/C++手刻及使用OpenCV套件對影像進行處理，內容包含：Mathematical morphology、Image stitching、Stereo Correspondence、以及3D Reconstruction(SLAM)...等技術實作。

技術：C/C++、OpenCV、電腦視覺、影像處理

嵌入式智慧影像分析與實境介面

透過軌道競速和自動避障兩個專案實作，實際打造自走車。從搜集自走車影像，到資料清理與擴增，並以此訓練各式深度學習模型，最終將模型輕量化後放置邊緣端的NVIDIA JetBot自走車上。

技術：Linux、影像處理、物件偵測(YOLOv4-tiny)、Reinforcement Learning (DQN)、模型輕量化(TensorRT)

樣式導向軟體設計

從Design Pattern的角度實際開發系統，透過開發過程更深瞭解物件導向以及Pattern的使用方式。

技術：C/C++、單元測試(GoogleTest)、Design Pattern、TDD、OOP

軟體工程

搭建專案管理系統，透過網頁來串接Github、Sonarqube、Jenkins，Trello等輔助專案開發工具，並以Plan-driven及敏捷開發(Scrum)的方式去完成此專案。過程中，也透過撰寫PEP及SRS專案開發文件演練軟體工程師的團隊開發過程。

技術：JAVA、Angular、Node.js、MySQL

電腦動畫

搭建網頁，並在網頁上呈現建模後的虛擬人物。

技術：HTML、CSS、JavaScript、Unity

技能

  • Machine Learning
  • Computer Vision
  • Pytorch/Tensorflow
  • OpenCV
  • C/C++ (OOP)
  • Linux

語言

  • Chinese — 母語或雙語
  • English — 進階