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Engineer @Vyond2023 ~ Présent
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. Innodev-Tech Taiwan, iOS app manager, Mar 2015 ~ Feb 2016 Led 3 comrades and worked on a social media app which is capable of multimedia chatting, sharing, and reaching local vendor. I trained these comrades from 0 experience in iOS development to be capable to work alone in Objective-C, then I went to study more fundamental framework like AVFoundation, CoreAudio. Avermedia, Android application engineer, Dec 2013 ~ Mar 2015 Handled streaming media app which broadcast TV content from a dongle in LAN, participated in live app development, and also studied part of Android 4.4 framework
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National Sun Yat-Sen University
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Electronic Engineering
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Kai-Kai Hsu Software Engineer • Taipei，TW • [email protected] •With 10+ years experience of image processing algorithm development, engaged in the developments of below software features : Filmora, PowerDirector, PhotoDirector, YouCam Perfect (App) and YouCam Makeup (App), mainly involved in the algorithm designings of image processing, computer vision, pattern recognition, machine learning(SVM, regression). Capable of performance tunning (Multithread, SIMD, NEON), cross-platform development, including Window, Mac, Unix, iOS, and Android systems. Skills Programming Development C++ (mainly) Objective C (elementary) iOS development Java, JNI (elementary) Android development Library OpenCV effekseer clapack
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中央大學
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National Tsing Hua University
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Anna University
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Senior Software Engineer @Taiwan Rakuten Ichiba, Inc.2018 ~ 2021
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Chang Jung Christian University (長榮大學)
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UI and UX in accordance with what the users wanted, to make the experience both more functional and desirable. JuneAugust 2018 Software Development Intern • IHS Markit Tested front end and back end of two different industry software applications. Experience with big data : Hadoop and Map Reducer. DML operations on oracle database. JuneAugust 2016 EducationUniversity of Michigan Computer Science Skills & Familiarities Software Swift (UIKit, SwiftUI), Objective-C, Python, Javascript (Vue.js, React.js, jQuery), SQL, C/C++, HTML/CSS Tools Version Control (git), IDEs (XCode, Visual Studio, IntelliJ), Design (Sketch, Figma)
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Software engineer
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國立清華大學
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Computer Science
Meng-Shiun(Kobe) Yu
Email: Kobeyu.tw at gmail.com
I'm currently an NPU compiler engineer at Kneron, also a Ph.D. student at the department of computer science, National Tsing Hua University, Taiwan. My research interests include
compiler and runtime for deep learning accelerator; architecture/performance evaluations; compiler designs and optimizations.
Education
- Ph.D., Department of Computer Science, National Tsing Hua University 2017/9 ~ Present
- Advisor: Jenq-Kuen Lee
- M.A., Department of Electrical Engineering, National Chung Cheng University 2006/9 ~ 2008/10
- Advisor: Huei-Yung Lin
- Thesis: A Vision Surveillance System for Mobile Robot Using Omni-directional and PTZ Cameras
- B.A., Department of Electrical Engineering, National Chin Yi University of Technology 2004/9 ~ 2006/6
Work Experience
Kneron．NPU Compiler Engineer．2019 / 2 ~ Present
- Participated in the development of 6 NPU SoCs.
- Developed compiler to compress weights for NPU, metadata for firmware control flow.
- Propose a whole new NPU executable format(NEF) for the runtime.
- Developed binary utilities to merge/extract multiple models to/from single NEF file.
- Developed binary utilities to encrypt model file for KNEO AI app ( https://www.kneo.ai/ ).
- Developed just in time compiler for image accelerator, used in freeRTOS and Embedded Linux environment.
- Pre- and post-silicon verification(NPU and image accelerator).
- Debug mismatch between CSim and RTL or performance issue with firmware, CSim, and HW team.
- Survey advanced techniques, compiler: TVM, MLIR, runtime: TFRT, IREE, model/hardware co-design: network architecture search.
- Recruit and lead interns to complete specific research work.
Fongfu．Software Engineering Manager．2016 / 9 ~ 2018 / 6
- Build up a software team (~5 engineer) to deploy services on iOS/Android and Asus Zenbo.
- System architecture evaluation and planning (Mobile App, Web backend)
- Developed face recognition algorithm.
SmartAll．Senior Software Engineer．2016 / 2 ~ 2016 / 8
- Developed iOS App to control smart camera.
- Porting ffmpeg and face detection algorithm on iOS.
- Developed peer to peer commutation SDK.
MSI．Software Engineer．2013 / 11 ~ 2016 / 2
- Developed iOS App to control smart camera.
CEO(Create Electronic Optical Co., Ltd)．Software Engineer．2010 /1 ~ 2013/3
- Developed lane departure and forward collision warning systems using computer vision algorithms.
- Developed media player for driver recorder.
Skills
- Programming Language
- C/C++, Python and Shell script
- Compiler
- Construction and optimization
- Deep Learning
- Optimize and deploy neural network model to edge devices.
Publications
- The Support of MLIR HLS Adaptor for LLVM IR, Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yu, Tai-Liang Chen, Kuan-Hsun Chen, and Jenq-Kuen Lee, ICPP EMS 2022, Bordeaux, France, Aug. 29 - Sep. 1, 2022. (Virtual).
- C++OpenCL4TVM: Support C++OpenCL Kernel for TVM NN Operators, Po-Yao Chang, Tai-Liang Chen, Yu-Tse Huang, Meng-Shiun Yu, Jenq-Kuen Lee, IWOCL 2022 (poster paper), 2022.
- Optimization with TVM Hybrid OP on RISC-V with P Extension, Chuan-Yue Yuan, Meng-Shiun Yu, Chao-Lin Lee, Chun-Chieh Yang, and Jenq-Kuen Lee, TVMcon 2021, Seattle, Dec. 15-17, 2021
- Support NNEF Execution Model for NNAPI, Yuan-Ming Chang, Chia-Yu Sung, Yu-Chien Sheu, Meng-Shiun Yu, Min-Yih Hsu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 10065-10096, Springer, 2021.
- NNBlocks: A Blockly Framework for AI Computing, Tai-Liang Chen, Yi-Ru Chen, Meng-Shiun Yu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 8622-8652, Springer, 2021
- Accelerating NNEF framework on OpenCL devices using clDNN, Meng-Shiun Yu, Tai-Liang Chen and Jenq-Kuen Lee, IWOCL 2020, Germany, May 2020 (poster paper).
- A Robot Vision System for Visual Surveillance, M. S. Yu, H. Wu, H. Y. Lin, International Journal of Innovative Computing, Information and Control, Vol. 10, No. 4, pp. 1267-1274, Aug. 2014.
- Lane departure and front collision warning using a single camera, H. Y. Lin, L. Q. Chen, M. S. Yu, International Symposium on Intelligent Signal Processing and Communication System, pp. 64-69, Nov. 2012.
Talks
Neural Network File Format for Inference Framework．COSCUP．2020/08/02
機器學習應用於蔬果辨識．台灣人工智慧學校 台中分校．2018/11/28
社群與企業之開源專案合作經驗分享：以阿龜微氣候天眼通為例 ．g0v summit．2018/10/6
Agrino應用於農業感測的開源專案．COSCUP．2018/8/11
那些夜裡用啤酒打造的田間感測器．COSCUP．2017/8/6
Meng-Shiun(Kobe) Yu
Email: Kobeyu.tw at gmail.com
I'm currently an NPU compiler engineer at Kneron, also a Ph.D. student at the department of computer science, National Tsing Hua University, Taiwan. My research interests include
compiler and runtime for deep learning accelerator; architecture/performance evaluations; compiler designs and optimizations.
Education
- Ph.D., Department of Computer Science, National Tsing Hua University 2017/9 ~ Present
- Advisor: Jenq-Kuen Lee
- M.A., Department of Electrical Engineering, National Chung Cheng University 2006/9 ~ 2008/10
- Advisor: Huei-Yung Lin
- Thesis: A Vision Surveillance System for Mobile Robot Using Omni-directional and PTZ Cameras
- B.A., Department of Electrical Engineering, National Chin Yi University of Technology 2004/9 ~ 2006/6
Work Experience
Kneron．NPU Compiler Engineer．2019 / 2 ~ Present
- Participated in the development of 6 NPU SoCs.
- Developed compiler to compress weights for NPU, metadata for firmware control flow.
- Propose a whole new NPU executable format(NEF) for the runtime.
- Developed binary utilities to merge/extract multiple models to/from single NEF file.
- Developed binary utilities to encrypt model file for KNEO AI app ( https://www.kneo.ai/ ).
- Developed just in time compiler for image accelerator, used in freeRTOS and Embedded Linux environment.
- Pre- and post-silicon verification(NPU and image accelerator).
- Debug mismatch between CSim and RTL or performance issue with firmware, CSim, and HW team.
- Survey advanced techniques, compiler: TVM, MLIR, runtime: TFRT, IREE, model/hardware co-design: network architecture search.
- Recruit and lead interns to complete specific research work.
Fongfu．Software Engineering Manager．2016 / 9 ~ 2018 / 6
- Build up a software team (~5 engineer) to deploy services on iOS/Android and Asus Zenbo.
- System architecture evaluation and planning (Mobile App, Web backend)
- Developed face recognition algorithm.
SmartAll．Senior Software Engineer．2016 / 2 ~ 2016 / 8
- Developed iOS App to control smart camera.
- Porting ffmpeg and face detection algorithm on iOS.
- Developed peer to peer commutation SDK.
MSI．Software Engineer．2013 / 11 ~ 2016 / 2
- Developed iOS App to control smart camera.
CEO(Create Electronic Optical Co., Ltd)．Software Engineer．2010 /1 ~ 2013/3
- Developed lane departure and forward collision warning systems using computer vision algorithms.
- Developed media player for driver recorder.
Skills
- Programming Language
- C/C++, Python and Shell script
- Compiler
- Construction and optimization
- Deep Learning
- Optimize and deploy neural network model to edge devices.
Publications
- The Support of MLIR HLS Adaptor for LLVM IR, Geng-Ming Liang, Chuan-Yue Yuan, Meng-Shiun Yu, Tai-Liang Chen, Kuan-Hsun Chen, and Jenq-Kuen Lee, ICPP EMS 2022, Bordeaux, France, Aug. 29 - Sep. 1, 2022. (Virtual).
- C++OpenCL4TVM: Support C++OpenCL Kernel for TVM NN Operators, Po-Yao Chang, Tai-Liang Chen, Yu-Tse Huang, Meng-Shiun Yu, Jenq-Kuen Lee, IWOCL 2022 (poster paper), 2022.
- Optimization with TVM Hybrid OP on RISC-V with P Extension, Chuan-Yue Yuan, Meng-Shiun Yu, Chao-Lin Lee, Chun-Chieh Yang, and Jenq-Kuen Lee, TVMcon 2021, Seattle, Dec. 15-17, 2021
- Support NNEF Execution Model for NNAPI, Yuan-Ming Chang, Chia-Yu Sung, Yu-Chien Sheu, Meng-Shiun Yu, Min-Yih Hsu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 10065-10096, Springer, 2021.
- NNBlocks: A Blockly Framework for AI Computing, Tai-Liang Chen, Yi-Ru Chen, Meng-Shiun Yu, and Jenq-Kuen Lee, Journal of Supercomputing, 77, 8622-8652, Springer, 2021
- Accelerating NNEF framework on OpenCL devices using clDNN, Meng-Shiun Yu, Tai-Liang Chen and Jenq-Kuen Lee, IWOCL 2020, Germany, May 2020 (poster paper).
- A Robot Vision System for Visual Surveillance, M. S. Yu, H. Wu, H. Y. Lin, International Journal of Innovative Computing, Information and Control, Vol. 10, No. 4, pp. 1267-1274, Aug. 2014.
- Lane departure and front collision warning using a single camera, H. Y. Lin, L. Q. Chen, M. S. Yu, International Symposium on Intelligent Signal Processing and Communication System, pp. 64-69, Nov. 2012.