Hello! I am currently pursuing a Master's degree in Computer Science and Engineering at the University of California - San Diego. My academic journey and research experience have equipped me with extensive practical skills and innovative thinking abilities. My interest lies in using machine learning techniques to solve societal problems. Specifically, I have experience in using eye-tracking technology to improve learning efficiency for children with reading disabilities and have developed Neural Architecture Search to reduce carbon footprints for CNN models. I am eager to apply my knowledge and skills in an innovative environment and to stay updated with state-of-the-art technologies.
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Deep Learning Engineer InternNexa AiSan Diego, Ca, Us -
Research AssistantAcademia Sinica, Taiwan Aug 2023 - PresentTaipei City, TaiwanParticipated in the design, optimization, and implementation of a sustainable Neural Architecture Search (NAS) framework for developing carbon-efficient CNN models, optimized for STM32 microcontrollers. Reduced carbon footprint on CNN models by designing the NAS search algorithm and optimizing model flash, CPU, and energy usage. Designed and optimized energy and latency cost models for diverse microcontroller architectures. Conducted research on compression techniques for Transformer architecture on microcontrollers. -
Research AssistantChang Gung University Apr 2023 - Oct 2023Taoyuan City, TaiwanUtilize Large Language Models (GPT, BERT) for the diagnosis of autism spectrum disorder, exploring prompt engineering methods for data analysis and disease prediction. Attained 88% accuracy in disease prediction for over 7700 patients by researching prompting engineering techniques including zero-shot, few-shot, chain-of-thought, and expert prompting on LLMs. -
Research AssistantChang Gung University Oct 2022 - Aug 2023Taoyuan City, TaiwanDevelop a real-time viewer counting system on both Linux and Raspberry Pi platforms for 25MPH or higher advertising vehicles. Realized 80% accuracy in detecting high-speed imagery by developing a facial recognition and tracking system featuring real-time data processing and API integration. -
Teaching AssistantChang Gung University Sep 2022 - Jul 2023Taoyuan City, TaiwanDesigned and reviewed programming assignments for a 70-student Introduction to Computer Science course. Tutored students in C/C++ programming skills and relevant knowledge including Object-Oriented Programming.
Yen-Ting Lee Education Details
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Computer Science And Engineering
Frequently Asked Questions about Yen-Ting Lee
What company does Yen-Ting Lee work for?
Yen-Ting Lee works for Nexa Ai
What is Yen-Ting Lee's role at the current company?
Yen-Ting Lee's current role is Deep Learning Engineer Intern.
What schools did Yen-Ting Lee attend?
Yen-Ting Lee attended 長庚大學, Uc San Diego.
Who are Yen-Ting Lee's colleagues?
Yen-Ting Lee's colleagues are Steffi Lin, Thomas Chen, Mu-Han Chen, Acacia Chang, 陳祁鎔, Suraj Singh, 賴睿杰.
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