Hi, I'am Kezhen
A CSE student
Study at Ohio State University. One who likes to challenge himself. Keep trying new areas to enrich knowledge and capabilities. Have good logical thinking and self-learning ability.
Contact MeAbout Me
My introduction
A senior student in Computer Science and Engineering, with a good foundation of math and problem-solving, has designed and built some websites (200+ daily visits), participates in research on real-time cell recognition, and will continue studies in human-computer interaction.
Study
Websites
Skills
My technical levelFrontend Developer
More than 2 yearsHTML
95%CSS
80%JavaScript
90%Backend Developer
More than 1 yearsJava
80%PHP
60%Ruby
70%AI Developer
Just startedPython
70%Object Detection
30%Linear Algebra, Calculus, Statistics
80%Applied Math and Algorithms
10%Video Editer
HobbyVideo Shooting
60%After Effects
70%Photoshop
70%Qualification
My personal journeyUndergraduate Student Teaching Assistant
Department of ELECTRICAL & COMPUTER ENGINEERINGUndergraduate Student Research Assistant
Microsystems and Nanosystems LaboratoryComputer Science and Engineering
Ohio State UniversityAssistant Counselor
Office of Student LifeMinister of New Media
Student UnionDeputy Minister of Propaganda Department
Students' Association UnionMechanical Engineering
Harbin Engineering UniversityHigh School
Shanghai ShangDe Experimental SchoolPortfolio
Most recent work
Research Assistant
Use YOLOv4, an object detection algorithm, to detect, identify and enumerate bacterial contaminants in real-time. Use Fiji and mathematical statistics to process images and annotate target cells for training.
Website
Qidian Events Website
An information bulletin board website aims to collect event information for Qidian readers to quick search. This is not a crawler site. All the data comes from the sharing of users. The average daily visits are around 300, and the highest is over 2000.
Website
Youtube Comments to PNGs
A convenient website for Youtubers to download video comments. Use YouTube developer API to get video comments data, use HTML and CSS to reformat and save them in PNG format (Canvas2png) for compressed download.
Website