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Taiwan
Taipei City, Taiwan
Taiwan Province, Taiwan
台北市, 台灣
台灣
IT
技術
1年未満
4〜6年
6〜10年
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National Taiwan University
國立台灣大學
國立臺灣大學
Singapore
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AI
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1ヶ月以内
Software engineer
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Senior Full Stack Developer/Engineering Manager
Software Engineer
AI 演算法相關工作
AI工程師、機器學習工程師、深度學習工程師、影像演算法工程師、資料科學家、Ai Application Engineer,Machine Learning Engineer,Deep Learning Engineer,Data Scientist
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ACER 宏碁股份有限公司
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CakeResume
Crypto Arsenal
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適着三維科技股份有限公司 TG3D Studio Inc.
リモートワークに興味あり
パートタイムのフリーランス
English - 流暢
Chinese - ネイティブまたはバイリンガル
English
4〜6年
6〜10年
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Software engineer
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Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Patrick Hsu
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
・
2021 ~ 現在
Software Engineer
1ヶ月以内
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
就職中
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面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
・
生物產業機電工程所
Avatar of Ryan Chen.
Avatar of Ryan Chen.
Ryan Chen
CakeResume Premium Badge
Software Engineer @CakeResume
・
2022 ~ 現在
Software Engineer
1ヶ月以内
led to a Next.js server crash. Enhanced team's data analysis efforts by integrating analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a
React
TypeScript
JavaScript
Reputation Credits1
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就職を希望していません
フルタイム / リモートワークに興味あり
10〜15年
National Taiwan University
・
Computer Science and Information Engineering

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1年以上
Avatar of 黃俊翔.
黃俊翔
Software Engineer
Taiwan
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いいえ。
学歴
学校
國立陽明交通大學(National Yang Ming Chiao Tung University)
専攻
Institute of Network Engineering
印刷

Jyun-Siang Huang

EDUCATION


2018 - 2021

National Yang Ming Chiao Tung University

Institute of Network Engineering

2014 - 2018

University of Taipei

Computer Science

PROJECTS

Profile-Guided Optimization for Indirect Branch in an LLVM-Based Binary Translator

A binary translator emulates the binary files of the source instruction set by the target instruction set. Emulating an indirect branch requires mapping a source program counter address to a target program counter address.

  • The work translates AArch64 binary to RISC-V binary and runs on the RISC-V board.
  • Develop the profile-guided optimization for indirect branch
    • Collect and analyze the execution frequency of each destination for each source indirect branch instruction to construct address mapping tables.
    • Accelerate the process of finding the target address as branch destination when emulating a source indirect branch instruction.

TECHNICAL STRENGTHS

Programming Languages

  • C/C++
  • JAVA
  • Python

Tools

  • git/GitHub
  • Linux
  • LLVM compiler

Specialization

  • Software Engineering
  • Android 
Resume
プロフィール
印刷

Jyun-Siang Huang

EDUCATION


2018 - 2021

National Yang Ming Chiao Tung University

Institute of Network Engineering

2014 - 2018

University of Taipei

Computer Science

PROJECTS

Profile-Guided Optimization for Indirect Branch in an LLVM-Based Binary Translator

A binary translator emulates the binary files of the source instruction set by the target instruction set. Emulating an indirect branch requires mapping a source program counter address to a target program counter address.

  • The work translates AArch64 binary to RISC-V binary and runs on the RISC-V board.
  • Develop the profile-guided optimization for indirect branch
    • Collect and analyze the execution frequency of each destination for each source indirect branch instruction to construct address mapping tables.
    • Accelerate the process of finding the target address as branch destination when emulating a source indirect branch instruction.

TECHNICAL STRENGTHS

Programming Languages

  • C/C++
  • JAVA
  • Python

Tools

  • git/GitHub
  • Linux
  • LLVM compiler

Specialization

  • Software Engineering
  • Android