Yongqing Liang is a PhD candidate in computer science at Texas A&M University, specializing in image and video processing and machine learning within the Geometric and Visual Computing Group under Dr. Xin (Shane) Li. He brings industry and research experience from Google (ML intern on optimization-based tone mapping for HDR in YouTube) and NVIDIA (ADLR-CV intern researching high-definition mapping from aerial imagery). As a Teaching Assistant for VIST 375 Foundations of Visualization at TAMU since Fall 2022, he translates complex visualization concepts into practical instruction. His prior roles include Research Assistant at LSU in the Geometric and Visual Computing Group and a full-stack software engineer in finance, where he built a real-time Portfolio/Management System (Wuliang) in Python with a Django UI and Wind data integration for live feeds. He holds an MS in Electrical and Computer Engineering from LSU with a 4.0 GPA and a BS in Computer Science from Fudan University, and is based in College Station, Texas.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Fudan University
Master of Science - MS, Electrical Computer and Engineering, 4.0/4.0, Master of Science - MS, Electrical Computer and Engineering, 4.0/4.0 at Louisiana State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M University
Contributions:41 commits, 50 pushes, 2 branches in 2 years 3 months
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