Xiangbin Teng

Assistant Professor at The Chinese University of Hong Kong

New Territories, Hong Kong SAR
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Summary

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Xiangbin Teng is an Assistant Professor at The Chinese University of Hong Kong with nine years of research experience at the intersection of rhythm, prediction, agency, speech, music, and audition. Trained with a PhD in Psychology from NYU and prior positions at Max Planck institutes and Freie Universität Berlin, he blends human neuroscience experiments with computational neural-network approaches. His lab investigates how the brain tracks temporal structure and anticipates sensory events, pairing behavioral and neural measures with modeling. Fluent in both English and Chinese research communities, he maintains an active webpage and GitHub showcasing reproducible code for speech and music studies. Colleagues know him for bridging rigorous psychophysical methods with modern deep learning tools to probe perception and agency.
code9 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at New York University
bookMaster of Science - MS, PSYCHOLOGY, Master of Science - MS, PSYCHOLOGY at Peking University
bookBachelor's degree, Chemical Engineering, Bachelor's degree, Chemical Engineering at Shanghai Jiao Tong University
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Github Skills (16)

neuroscience10
computational-neuroscience10
cognitive-science10
neuroimaging9
neural-network9
visualization9
deep-learning9
statistics9
machine-learning8
python8
linux5
conda5
package-management4
ecosystem3
package-manager2

Programming languages (1)

Python

Github contributions (5)

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XBTinChina/CCN_Association

Apr 2020 - Jun 2022

认知计算神经联盟 讨论会
Contributions:263 commits, 3 PRs, 248 pushes in 2 years 1 month
neurosciencecognitive-sciencedeep-learningcomputational-neuroscienceneural-network
Contributions:2 PRs, 4 pushes, 2 branches in 1 year 4 months
brainmachine-learningbrain-inspiredanalyzesounds
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Xiangbin Teng - Assistant Professor at The Chinese University of Hong Kong