Shenghua Liu
Associate Professor
Beijing, China
Summary
👤
Senior🎓
Top SchoolShenghua Liu is an associate professor at the Institute of Computing Technology, Chinese Academy of Sciences, with 11 years of research and academic experience focused on scalable algorithms for big graph and time series mining. His work spans applications from social media and recommendation systems to finance, IoT and VLSI, and has been published in top venues including TKDE, AAAI, IJCAI, WWW and SDM. He has international research experience as a visiting scholar at CMU (with Christos Faloutsos) and UCLA, and holds a PhD from Tsinghua University. Beyond theory, Shenghua’s group explores practical problems like sentiment analysis and information propagation in online networks, reflecting a blend of methodological depth and applied impact. An underappreciated strength is his cross-domain fluency—translating graph and time-series methods into systems-level solutions for hardware and healthcare contexts.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree, computer software, Bachelor's Degree, computer software at Xidian UniversityDoctor of Philosophy (PhD), Computer Science &Technology, Doctor of Philosophy (PhD), Computer Science &Technology at Tsinghua UniversityVisiting, Optimization algorithms, Visiting, Optimization algorithms at University of California, Los Angeles
Chinese, English
Github Skills (6)
data-mining10
time-series10
anomaly-detection10
algorithms9
fraud-detection8
algorithm5
Programming languages (4)
Github contributions (5)
stair-team/spartan2
Mar 2018 - Aug 2022
A collection of data mining algorithms on big graphs and time series
Contributions:34 reviews, 170 commits, 28 PRs in 4 years 5 months
data-miningtime-seriesbig-graphsanomaly-detectionsparse-tensors
shenghua-liu/reading-group
Aug 2019 - May 2020
Contributions:10 commits, 9 pushes, 1 branch in 9 months
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