Jiaji Huang – Biography

Short Bio

Jiaji Huang is a senior applied scientist at AWS, where he builds large scale language models that generate text matching human preferences. He has been working on NLP and speech problems, and contributed to multiple impactful systems, e.g., DeepSpeech of Baidu, and Bedrock of AWS. He has also been actively publishing in machine learning conferences/journals. The publications cover multiple aspects of learning (deep) representations, including interpretability, generalization, efficiency, etc.

Before working in industry, he obtained a PhD degree of electrical engineering from Duke University. His thesis is on statistical signal processing. He also holds a BS of Electrical Engineering from University of Science and Technology of China. He has an Erdős number of 3.

Education

• 04/2016  Ph.D in Electrical Engineering (Advisor: Robert Calderbank)
  Duke University

• 07/2011  B.S. in Electrical Engineering and Information Science
  University of Science and Technology of China

Industry Experience

• 05/2022 – now          Senior Applied Scientist, AWS, Santa Clara, CA

• 07/2016 – 05/2022  Research Scientist, Baidu Research, Sunnyvale, CA

• 05/2013 – 08/2013  Research Intern, NEC Labs America, Princeton, NJ

Honors and Awards

• Outstanding Researcher, Baidu Research, 2019

Professional Services

Reviewer/Meta reviewer for

• IEEE Transactions on Signal Processing

• Conference on Neural Information Processing Systems (NeurIPS)

• International Conference on Machine Learning (ICML)

• International Conference on Learning Representations (ICLR)

• Association for Computational Linguistics (ACL)

• Conference on Empirical Methods in Natural Language Processing (EMNLP)

• Association for the Advancement of Artificial Intelligence (AAAI)

• International Conference on Acoustics, Speech and Signal Processing (ICASSP)