WU HAO is a consultant and Computer Science PhD candidate based in Hong Kong with a decade of experience at the intersection of theoretical machine learning and practical systems engineering. His research on active learning for graph convolutional networks led to an ICML publication and introduced novel budgeted and verified algorithms with PAC extensions, while his engineering work includes a near-optimal C++ data structure for range updates and GAN-based mask optimization for VLSI. He has production experience as an algorithm engineer at Tencent and applies a strong experimental toolkit (Python, PyTorch, C++) to validate theory-driven ideas. Notably, he has extended theoretical notions like α-expansion to agnostic settings, showing a knack for bridging principled theory with implementable solutions.
Contributions:12 pushes, 1 branch in 2 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.