Zheng Xiong is a Research Scientist at Meta with 11 years of engineering and research experience, blending production-grade software development with Ph.D.-level machine learning and data mining expertise. He has led efficiency-focused projects on Meta’s ads platform and previously developed novel algorithms for material phase diagram prediction, achieving strong evaluation metrics (precision 0.934, MCC 0.823). His skill set spans Python, C++/C#, Java, SQL, deep learning (CNNs), and data platforms like Hadoop, allowing him to move ideas from research prototypes to scalable systems. Past work includes building hybrid mobile apps and a no-reference video quality evaluation system, demonstrating versatility across front-end, backend, and signal-processing domains. Colleagues describe him as a collaborative, hardworking engineer who thrives on learning new technologies and tackling ambiguous problems. Outside work he keeps a coder’s mindset—“code in the hand, road in the way”—reflecting a pragmatic, hands-on approach to research and engineering.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Electrical, Electronics and Communications Engineering, Bachelor’s Degree, Electrical, Electronics and Communications Engineering at Beijing University of Posts and Telecommunications
Master’s Degree, Information and Communication System, Master’s Degree, Information and Communication System at Beijing University of Post and Telecommunications
High School, High School at The Attached Middle School to Jiangxi Normal University
Doctor of Philosophy (Ph.D.), Computer Science, 3.8, Doctor of Philosophy (Ph.D.), Computer Science, 3.8 at University of South Carolina
Contributions:8 PRs, 61 pushes, 2 branches in 1 year 11 months
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