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/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 publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop an application for detecting deceptive language in text-based games. This involved a collaborative effort with an Israeli research team from a university in the United States. Software Engineer, Crypto Arsenal 1//2018 Spearheaded the research and development of Ethereum
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Song-Ting Lee I am a Software developer with 5 years experience in embedded system application developments. In previous roles, assisted our company to expand business to the largest telecom operator in Mexico, customized cable modem applications for selling our products to South America. Ensured 90% on-time project completion and delivered software to factory and customers. Also identified issues and new requests were reported from FAE and dealt with the new requests via cooperating with Brazil engineers and Taipei front-end engineers. EXPERIENCE Software R&D engineer, Network engineer Cable Modem Router, SERCOMM Corporation.
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National Cheng Kung University
Master of Biomedical Engineering
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Software Engineer @MediaTek 聯發科技
2022 ~ Present
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Within one year
Client Library — Remove the bad busy loops with the sync.Cond * 2022 Working on High-Performance Golang Client Library — Reading Again From Channels? * 2022 Working on High-Performance Golang Client Library — Batching on Pipeline * 2022 Redis 6 server-assisted client-side caching with Golang *Chinese) Avoid wasting PostgreSQL's network bandwidth with Extended Protocol *Chinese) How does PostgreSQL estimate the row count of a LIKE statement? (Trace Code) *Chinese) How does PostgreSQL estimate the row count of a HashAggregate step? (Trace Code) Experience Senior Software Engineer • MediaTek MediaTek is one of the top IC design companiesNow * Implemented a Ray
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National Chiao Tung University
Master of Computer Science
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Data Engineer @漸強實驗室 Crescendo Lab Ltd.
2020 ~ 2022
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Kubernetes Built the data pipeline to fetch data from several sources, such as TWSE, TPEX, IStock, YFinance, etc. Utilized dbt to do ETL jobs and data validation. Deployed ArgoCD to self-manage and manage services such as Airflow, Redis, and Sentry on Kubernetes. SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance Conducted NLP research on lifelogging and proposed a new topic about event-based memory recall system during my master program at NTU. Published the paper at EMNLP (one of the top NLP conferences). Skills Programming Languages Python, Javascript Frameworks
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國立台灣大學 National Taiwan University
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國立清華大學
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軟體工程師 @Gorilla Technology Group 大猩猩科技股份有限公司
2018 ~ Present
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Advantech 研華科技 2015//03 1. Windows based多媒體 Digital Signage 核心軟體開發。 2. Client-Server架構、前後端系統設計開發及維護。 工作技能: Front-end : HTML, CSS, JavaScript, JQuery, BootStrap, AWS, Azure Back-end : Python, C#, C/C++, ,PostgreSQL 3.Web programming with Apache HTTP Server, RESTful API, 技能 Skills C#, Java, Python, Shell, PostgreSQL, Oracle SQL Domain Experience Network Security Digital Signage Semiconductor field - mask production Language Chinese English
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Natinonal Taiwan Central University
Computer Science
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系統架構工程師 @聯發科技公司
2018 ~ Present
Software Engineer
More than one year
紀成璞 (CHENG PU CHI) "Always facing the problems, think positive and never give up." I am a software developer and system architect in Mediatek now. My job is profile and analysis our SoC architecture to projection performance in pre-silicon and compare to our competitors. It can help our company to make the right strategy. Until now, I have 5+ year working experience in compute science industry. Specialties: Excellent in using profiling tools : Android Systrace, ARM DS-5 Streamline, Qualcomm Snapdragon profiler Advanced in projection CPU performance in pre-silicon Excellent in
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國立清華大學
資訊工程

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Ph.D. Student @ NTHU
Taichung City, Taiwan
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國立清華大學
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Print


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
  • 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 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

Resume
Profile


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
  • 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 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