Xinhai Liu
Chief Researcher at Global Digital Finance Center，Joint Lab
Beijing, Beijing, China
Summary
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Senior🎓
Top SchoolXinhai Liu is a chief researcher with a PhD in AI and Mathematical Engineering and over a decade of experience applying LLMs, big data, and complex-network analytics to credit risk management and fintech. He led research and product-oriented teams at the Credit Reference Center of the People’s Bank of China and now guides industry–academic collaboration at the Global Digital Finance Center, translating standards and best practices into deployable digital finance technologies. His work spans alternative credit scoring, financial network analysis, text and web mining, and GDPR-aware personal data protection—combining deep academic grounding with practical regulatory experience. A former KU Leuven and LSE researcher, he brings cross-border research credibility and a habit of turning advanced AI methods into operational risk solutions. He also serves in leadership roles for KU Leuven alumni in China and credit management professional committees, signaling a rare mix of technical, policy, and community influence. Colleagues note his knack for bridging mathematical rigor with producible fintech systems rather than staying solely in theoretical research.
9 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD), AI and Mathematical Engineering in the Department of Electrical Engineering, Doctor of Philosophy (PhD), AI and Mathematical Engineering in the Department of Electrical Engineering at Katholieke Universiteit LeuvenMaster, Computer Science, Master, Computer Science at Wuhan University of Science and Technology
Github Skills (34)
hierarchical9
autoencoder9
pointnet9
point-cloud8
sequence8
pcl8
classification7
sdf7
computer-vision7
cpp7
sequence-to-sequence6
ply6
3d-reconstruction5
points5
surface5
Programming languages (3)
Github contributions (5)
liuxinhai/FG3D-Net
Nov 2020 - May 2021
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions
Contributions:63 commits, 2 PRs, 60 pushes in 6 months
pytorch3d-shape-classificationdeep-learningfine-grainedcomputer-vision
liuxinhai/Point2Sequence
Mar 2019 - Nov 2020
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Contributions:22 commits, 1 PR, 20 pushes in 1 year 8 months
pytorchrepresentationsequenceautoencoderpoint-clouds
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