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Yiming Wei is listed as CS & Applied Math and Statistics @ JHU at The Johns Hopkins University, based in Baltimore, Maryland, United States. AeroLeads shows a matched LinkedIn profile for Yiming Wei.
Yiming Wei previously worked as Research Assistant at The Johns Hopkins University and Full-stack Developer at Jhu Chinese Students And Scholars Association （Jhucssa）约翰斯·霍普金斯大学中国学生学者联合会. Yiming Wei holds Bachelor Of Science - Bs, Computer Science, Applied Mathematics And Statistics, 3.98 from The Johns Hopkins University.
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CS & Applied Math and Statistics @ JHU
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- Conducted research in Sign Language Processing, utilizing Computer Vision and NLP techniques to process sign language video datasets.- Prepared and trained machine learning models (SVM, Gradient Boost Machine, Gaussian Naive Bayes) by cleaning and transforming landmark data into structured formats, evaluating performance using accuracy, confusion matrices, and other metrics.
- Collaborate with a team to design and create the Alumni website for JHU’s Chinese Students and Scholars Association.- Coded in React.js to build an admin page for CRUD operations and an association page offering various search options for users to query organizations. - Generated 1,000 realistic applicant instances using Python to test and debug the matching algorithm during a one-week CP activity.
- Developed a web application using React.js to assist Chinese English learners in memorizing vocabulary using AI-generated content.- Implemented Python scripts to interact with APIs from various sources for generating images and pronunciations. Utilized Word2Vec word embedding to create connected graphs for word lists. - Deployed a Retrieval-Augmented Generation (RAG) system using LangChain and ChatGLM3 to build an intelligent chatbot, integrating the nerfstream repository to deploy a real-time interactive streaming digital human for synchronized audio-video dialogue.
- Collaborated with a team to develop an AI agent for the State Grid Corporation of China, designed to automatically detect and respond to power discharges in power distribution systems.- Developed trend analysis and a Phase Resolved Partial Discharge (PRPD) graph generator to support PRPD image recognition and enhance accuracy.- Built machine learning models (SVMs, KNN, AlexNet-based CNNs) for predictive analysis, achieving 94% accuracy in detecting partial discharges.- Developed a Flask demo to visualize model performance and implemented fine-tuning capabilities to improve model adaptability for diverse partial discharge scenarios.- Integrated BERT for prompt classification, enabling the system to differentiate between queries directed at a database or an information base (RAG) for more efficient processing.
Baltimore, Maryland, United States
Beijing, China
• Assisted the IT department of Hotel Nikko New Century Beijing to implement the Point-of-Sale System.• Set up servers for the POS machines and instructed the staff to customize the software.• Coordinated with hotel management personnel and understood specific implementation requirements and communicate with Infrasys IT department for feasible solutions.
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Yiming Wei works for The Johns Hopkins University.
Yiming Wei is listed as CS & Applied Math and Statistics @ JHU at The Johns Hopkins University.
Yiming Wei is based in Baltimore, Maryland, United States while working with The Johns Hopkins University.
Yiming Wei has worked for The Johns Hopkins University, Jhu Chinese Students And Scholars Association （Jhucssa）约翰斯·霍普金斯大学中国学生学者联合会, Geekbay Tech, Ltd, Tsinghua University, and Nest Strategies - Jhu American Marketing Association.
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Yiming Wei holds Bachelor Of Science - Bs, Computer Science, Applied Mathematics And Statistics, 3.98 from The Johns Hopkins University.
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