Xueyao Zhang
Research Intern at ByteDance
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolXueyao Zhang is a research-focused software engineer and PhD candidate in Data Science at The Chinese University of Hong Kong, Shenzhen, with eight years of experience across industrial research internships at Meta, Tencent, and currently ByteDance. She blends deep academic training (MS from the University of Chinese Academy of Sciences and a BE from Wuhan University) with hands-on applied research in large tech environments, shipping experiments and prototypes that bridge theory and product. Her trajectory shows a consistent focus on data-driven methods and scalable systems, often operating at the intersection of machine learning research and real-world engineering constraints. Having moved between top-tier labs in Shenzhen and global research teams, she brings both rigorous experimental design and practical implementation skills. Colleagues describe her as someone who translates complex models into production-aware artifacts, making research deployable beyond papers. She often leverages her academic role to explore novel data science questions while iterating quickly on industry-scale problems.
8 years of coding experience
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Wuhan UniversityMaster of Science - MS Computer Applied Technology, Master of Science - MS Computer Applied Technology at University of Chinese Academy of SciencesDoctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）
Github Skills (25)
music-generation10
audit10
text-to-speech10
speech-synthesis10
voice-conversion10
vocoder10
multi-gpu10
deep-learning8
gpu8
pytorch8
tpu7
overleaf7
xelatex6
latex6
github-issues4
Programming languages (5)
Github contributions (5)
ICTMCG/MTM
Jun 2021 - Dec 2021
Contributions:19 commits, 16 pushes in 6 months
open-mmlab/Amphion
Nov 2023 - Feb 2025
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
Contributions:131 reviews, 66 PRs, 48 pushes in 1 year 3 months
audio-generationaudio-synthesisaudioldmauditemilia
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