Hantian Li
About Hantian Li
Hantian Li is a Teaching Assistant at The George Washington University, specializing in machine learning and computer vision. With a background in computer science and experience in both academia and industry, Li aims to advance as an Algorithm Engineer.
Work at The George Washington University
Hantian Li has been employed as a Teaching Assistant at The George Washington University since 2018. In this role, he supports faculty and students in the Computer Science department, contributing to the academic environment in the Washington D.C. Metro Area. His responsibilities include assisting with course materials, guiding students in their learning, and facilitating discussions related to machine learning and computer vision.
Education and Expertise
Hantian Li holds a Bachelor's degree in Computer Science from Fudan University, where he studied from 2009 to 2013. He furthered his education by obtaining a Master's degree in Computer Science from The George Washington University, completing his studies from 2017 to 2019. His academic background provides a strong foundation in algorithms and machine learning, with a particular focus on computer vision.
Background in Engineering
Prior to his current role, Hantian Li worked as a Senior .Net Engineer at Gridsum Holding Inc. in Shanghai City, China, from 2013 to 2016. This experience contributed to his technical skills and understanding of software development, which he now applies in his research and teaching activities.
Research in Computer Vision
Hantian Li has conducted research in the field of computer vision, specifically focusing on convolutional neural network architectures. His work includes exploring models such as Fully Convolutional Networks (FCN), Faster R-CNN, Mask R-CNN, Single Shot MultiBox Detector (SSD), and MobileNet. This research aligns with his strong interest in machine learning and aims to enhance his capabilities as an Algorithm Engineer.
Achievements in Informatics
Hantian Li has been recognized for his skills in computer science, winning the National Olympiad in Informatics in Provinces (NOIP) First Prize twice, in 2007 and 2008. These achievements reflect his early proficiency in algorithmic problem-solving and programming, laying the groundwork for his future studies and career in technology.