Liang Wang
Research Intern at DP Technology
Singapore
Summary
👤
Senior🎓
Top SchoolLiang Wang is a PhD candidate and research intern specializing in AI for Science, graph machine learning, and generative models, with eight years of experience across industry research labs and tech companies. He has applied graph self-supervised learning and spatiotemporal modeling at Meituan, advanced AI-for-chemistry work at DAMO Academy, and improved advertising ML systems at ByteDance. Now based in Singapore and a visiting PhD student at NUS, Liang blends rigorous academic research in pattern recognition with hands-on engineering in industrial research environments. He is advised by leading researchers at CASIA and often explores diffusion models and LLM reasoning for scientific problems—an angle that links foundational generative modeling to domain-specific discovery.
8 years of coding experience
Doctor of Philosophy - PhD, Pattern Recognition and Intelligent Systems, Doctor of Philosophy - PhD, Pattern Recognition and Intelligent Systems at Institute of Automation, Chinese Academy of SciencesBachelor’s Degree, Software Engineering, Bachelor’s Degree, Software Engineering at Tongji UniversityVisiting PhD Student, AI for Science, Diffusion Models, LLM Reasoning, Visiting PhD Student, AI for Science, Diffusion Models, LLM Reasoning at National University of Singapore
Github Skills (19)
geometric-deep-learning10
pytorch10
graph10
deep-learning10
graph-neural-network10
graph-convolutional-networks10
contrastive-learning10
graph-representation-learning10
self-supervised-learning9
machine-learning8
neural-network8
python7
touchbar6
hidpi4
transformers4
Programming languages (7)
Github contributions (5)
AzureLeon1/Pattern-Recognition
Dec 2021 - May 2022
Contributions:11 commits, 9 pushes, 1 branch in 5 months
AzureLeon1/AzureLeon1.github.io
Dec 2020 - Feb 2025
Contributions:58 pushes, 1 branch in 4 years 2 months
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