Lu Lin
Assistant Professor at Penn State University
State College, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolLu Lin is a tenure-track assistant professor at Penn State's College of Information Sciences and Technology, specializing in machine learning and data mining with a focus on graph-structured and relational data. She completed her PhD in computer science at the University of Virginia in 2022 after internships at LinkedIn and Pinterest where she built heterogeneous graph embedding frameworks and modeled long-term shopping conversion signals. Her current research centers on trustworthy self-supervised learning for large-scale graphs, addressing robustness, fairness, and efficiency, with papers in ICML, AISTATS, KDD, WWW, WSDM, and TKDE. With eight years of industry and research experience spanning DiDi, LinkedIn, and Pinterest, she blends practical product-oriented problem solving with theoretical rigor. She holds bachelor’s and master’s degrees from Beihang University and often brings production-scale thinking from internship projects into her academic work. An understated strength is her track record of translating heterogeneous, real-world graph signals into effective embeddings and models that scale.
8 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beihang UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
Github Skills (14)
ranking9
science9
react8
computer-science8
retrieval7
graph6
mnist6
information-retrieval5
deep-learning5
pytorch5
jekyll3
jekyll-theme3
imagenet3
responsive2
Programming languages (1)
Github contributions (5)
Louise-LuLin/active-RL
Sep 2019 - Mar 2020
Contributions:43 commits, 32 pushes, 1 branch in 6 months
Louise-LuLin/topic-gcn
Nov 2019 - Dec 2020
CGAT: Channel-aware Graph Attention Networks
Contributions:28 commits, 1 PR, 24 pushes in 1 year
pytorchgraph-attention-networksdeep-learninggraph-neural-networksgraph
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