Xinyue Wang
Research Scientist at Yahoo
California, United States
Summary
👤
Senior🎓
Top SchoolXinyue Wang is a research scientist with eight years of experience applying deep learning and big data engineering to information retrieval, recommendation, and digital library systems. She holds a PhD from Virginia Tech and has built OLAP platforms on Hadoop, productionized ML pipelines with Kubernetes and AWS, and developed high-fidelity web document extraction and RAG-enabled query-answering systems. Her work spans signal processing (ultrasonic and vibration), NLP, time series, and embedding-driven retrieval, blending academic rigor from a digital library research lab with hands-on industry impact at Yahoo and Cardlytics. Notably, she pairs classical feature engineering and OLAP expertise with modern LLM workflows—SFT/PEFT, quantization, synthetic data generation, and agent-based evaluation—to improve query intent labeling and trending-topic recommendation. Based in California, she brings a rare combination of large-scale distributed systems know-how and deep-learning research applied to messy web-scale archives.
8 years of coding experience
10 years of employment as a software developer
Computer Software Engineering, Computer Software Engineering at Donghua UniversityDoctor of Philosophy - PhD computer science and applications, Doctor of Philosophy - PhD computer science and applications at Virginia TechBS Computer Science, BS Computer Science at University of North Texas
English, Chinese
Github Skills (14)
spark-framework6
derivation5
extraction4
internet4
collections4
apache-spark3
data-processing3
spark2
data-stream2
apache2
big-data2
etl1
data-integrity1
etl-framework1
Programming languages (2)
Github contributions (5)
xw0078/WebArchiveWithParquetAvro
Jan 2020 - Feb 2022
Contributions:9 pushes, 1 branch, 3 comments in 2 years 1 month
xw0078/VT_Fall18_CS4984-CS5984
Aug 2018 - Feb 2019
Resources for course CS4984/CS5984, Fall18, Virginia Tech.
Contributions:24 commits, 1 PR, 22 pushes in 6 months
virginia
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