Bo Han
Postdoc Fellow at RIKEN
Musashino, Japan
Summary
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Senior🎓
Top SchoolBo Han is a postdoctoral fellow at RIKEN AIP and an associate professor leading research on trustworthy machine learning with eight years of research experience. He earned a PhD in Computer Science from the University of Technology Sydney, where he worked under Prof. Ivor W. Tsang and Prof. Ling Chen, and previously completed an AI residency at RIKEN focused on robust deep learning. His work spans robust and trustworthy ML methods, developed in close collaboration with leading researchers across institutions including UT Austin, NUS, Fourth Paradigm and DAMO Academy. Based in Musashino, Japan, he combines deep theoretical grounding with practical research deployment at RIKEN, often bridging academic and applied perspectives. Colleagues note his ability to translate complex probabilistic and robustness ideas into reproducible experiments and software, reflecting a commitment to transparent, reliable ML.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Technology Sydney
Github Skills (8)
pytorch7
deep-learning7
deep-neural-networks4
noise3
machine-learning2
representation-learning2
representations1
generalization1
Programming languages (1)
Github contributions (5)
bhanML/Co-teaching
Oct 2018 - Nov 2018
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Contributions:20 commits, 18 pushes, 1 branch in 1 month
pytorchdeep-learningteachingneuripsneural-networks
bhanML/Masking
Oct 2018 - Nov 2018
Contributions:18 commits, 17 pushes, 1 branch in 1 month
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