I am a Ph.D. student from Department of Computer Science at Johns Hopkins University.
I am also a member of Center for Language and Speech Processing (CLSP).
I am mostly doing research on speech recognition (ASR) problems. I have broad interest in machine learning and natural language processing as well.
I am one of the major contributors of the Kaldi project,
and the owner of the open-source end-to-end ASR toolkit Espresso.
My advisors are Prof.
Sanjeev Khudanpur and
former JHU Prof. Daniel Povey.
I had two memorable internships at Google’s speech team and Amazon’s Alexa ASR team in 2017 and 2018 respectively, both working on end-to-end ASR.
Prior to JHU, I received my Bachelor's and Master's degree in Computer Science at
Nanjing University in 2009 and 2012, respectively.
My master advisor was Prof. Tong Lu.
Senior Applied Scientist AI Cognitive Services, Microsoft Corporation, Redmond, WA, USA
(Sep 2020 - present)
Manager: Dr. Jinyu Li
Applied Scientist Intern
Amazon.com, Inc., Seattle, WA, USA
(May 2018 - Aug 2018)
I worked with Dr. Xing Fan,
Dr. I-Fan Chen and
Dr. Yuzong Liu
on improving
Seq2Seq ASR model with information extracted from anchored words for Amazon Alexa.
Research Intern
Google LLC, Mountain View, CA, USA
(May 2017 - Aug 2017)
I worked with Dr. Arun Narayanan,
Dr. Rohit Prabhavalkar and
Dr. Izhak Shafran
on improving LAS model with time-frequency attention for robust ASR.
Research Assistant The Lieber Institute for Brain Development, Baltimore, MD, USA
(Sep 2014 - Aug 2015)
I worked on multi-view learning for genomic and brain imaging data.
Teaching Experience
Teaching Assistant
Johns Hopkins University
(Fall 2016, Fall 2014, Spring 2014)
Course: Machine Learning
Instructor: Mark Dredze