Hi, I am Hengguan Huang, last year's CS PhD student at NUS.
Hi, I am Hengguan Huang, last year's CS PhD student at NUS.
I work on making AI smarter in understanding speech, language, videos, and brain patterns by creating principled Bayesian deep learning models grounded in modern brain science. I aspire to turn complex theoretical insights into real AI solutions that approach human-like flexibility and adaptability in how they think, learn, and work together.
I work on making AI smarter in understanding speech, language, videos, and brain patterns by creating principled Bayesian deep learning models grounded in modern brain science. I aspire to turn complex theoretical insights into real AI solutions that approach human-like flexibility and adaptability in how they think, learn, and work together.
I am on the job market now. Please email me (huang.hengguan@u.nus.edu) if you have available openings!
I am on the job market now. Please email me (huang.hengguan@u.nus.edu) if you have available openings!
Selected Publication
*: first co-author
_: corresponding author
Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang, Deep Graph Random Process for Relational-Thinking-Based Speech Recognition, ICML, 2020. [paper][code][appendix][video]
Hengguan Huang, Hao Wang and Brian Mak, Recurrent Poisson Process Unit for Speech Recognition, AAAI, 2019, Hawaii, USA. [paper][code][appendix]