My work focuses on the intersection between Natural Language Processing and Deep Learning. I’m especially interested in representation learning for textual data, machine translation, and dialogue systems. I also appreciate great engineering and I love building tools to make it easier for people to bring machine learning research into production.
For the full list of my papers, see my Google Scholar profile.
NeMo: a toolkit for building AI applications using Neural Modules
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M Cohen Accepted to Machine Learning Systems workshop at NeurIPS 2019.
The Propagation of Lies: Impeding the Spread of Misinformation
H Nguyen, C Huyi, P Warren
Detect echo chambers and recommend content of different perspectives. Spotlight talk at Prioritising Online Content workshop, NIPS 2017. Americas’ regional winner for Ericsson Innovation Awards 2018.
MEWR: Automatic Machine Translation Evaluation without Reference Texts
H Nguyen, J Chang
Unsupervised translation score with strong correlation with BLEU score and human evaluation. Poster at Women in Machine Learning 2017.
Neural Networks for Automated Essay Grading
H Nguyen, L Dery
Automatically grade essays using bi-directional LSTM. Achieved a QW-Kappa score of 0.945 compared to 0.814, Kaggle winner.
Nov 16-17: Machine Learning Interviews
Full Stack Deep Learning (Berkeley, USA)
Apr 20, 2019: MEWR - Machine Translation Evaluation without Reference Texts
GDG Cloud SF’s IWD Celebration (San Francisco, USA)
Jan 26, 2019: Understanding evaluation metrics for language model and their implications
Google DevFest 2018 (San Francisco, USA)
Dec 22, 2018: Career in AI
VietAI Summit (Hanoi, Vietnam)
Dec 2, 2018: Mixed-precision training in TensorFlow with OpenSeq2Seq
NVIDIA Expo at NIPS (Montreal, Canada)
Aug 25, 2018: Career in IT
Vietnamese students in USA (Chicago, USA)
Apr 20, 2018: AI for developing countries
SVAI Download (Mountain View, USA)
Jan 25, 2018: TensorFlow Tutorial
Guest lecture for Stanford’s CS224N class
Dec 26, 2017: Computer Science Education - Lessons from Silicon Valley
Hi-tech Wednesday (Hanoi, Vietnam)
Dec 9, 2017: Mitigating the spread of fake news by identifying and disrupting echo chambers
Spotlight talk at NIPS Workshop on Prioritising Online Content (Long Beach, USA)
Aug 5, 2012: Traveling is an equal opportunity
[email protected] (Hanoi, Vietnam)