PhD Candidate in Computer Science
Department of Computer Science
Johns Hopkins University
Hackerman Hall 322-B
3400 N Charles St, Baltimore, MD, 21218
E-mail (copy and paste into a linux terminal and you'll see it):
bash
firstname=hainan
lastname=xu
gid=`echo ${firstname}.${lastname} | sed 's/u/v/g'`
echo ${gid}@gmail.com
# if you don't understand the command above, don't try guessing cuz you'll be wrong
# or you can see my resume link below and my email address is there also
My Resume
Google Scholar
YouTube Channel
| Biography |
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I am currently working at Google in New York on speech recognition. Before joining Google, I was a Ph.D. student in Computer Science from the Department of Computer Science at the Johns Hopkins University, starting from Fall 2013. I worked in the Center for Language and Speech Processing (CLSP) and my advisors were former JHU Prof. Dan Povey and Prof. Sanjeev Khudanpur.
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I received my B.S. in Software Engineering in 2012 from School of Software Engineering at Shanghai Jiaotong University in Shanghai, China. After that I took a gap year and worked with Professor Kai Yu in SJTU Speech Lab for one year, before coming to Johns Hopkins.
| Research Interests |
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My research interest is mostly speech recognition and I am a developer for the Kaldi project. I also have experience working in machine translation, natural language processing and end-to-end speech recognition.
| Education |
- Ph.D. Candidate in Computer Science
(Sept 2013 - present)
Department of Computer Science
Johns Hopkins University, MD, USA
- B.S. in Software Engineering
(Sept 2008 - Jun 2012)
School of Software Engineering
Shanghai Jiaotong University, Shanghai, China
| Work Experience |
- Intern
Spoken Communications, Seattle, WA (May 22, 2017 - Aug 22, 2017)
Incorporated support for TensorFlow-based language modelings in Kaldi. Both lattice-rescoring and n-best list rescoring are supported for Kaldi ASR.
- Research Intern
Google Inc., New York City, NY (May 18, 2015 - Aug 21, 2015)
I worked with Cyril Allauzen and Michael Riley on improving the twiddler n-gram language model for Google speech recognition, using finite state methods implemented with OpenFst and OpenGrm.
- Research Assistant
Center for Language and Speech Processing (Sept 2013 - Present)
I worked with Dan Povey and Sanjeev Khudanpur on speech recognition, and contributed to the Kaldi project.
- Research Assistant
Speech Lab at Shanghai Jiaotong University (July 2012 - July 2013)
I worked with Kai Yu on speech recognition, speech synthesis and human-computer iteractions.
| Teaching Experience |
- Teaching Assistant
Johns Hopkins University (Spring Semester 2017)
Course: Information Extraction
Instructor: Sanjeev Khudanpur
- Teaching Assistant
Johns Hopkins University (Spring Semester 2016)
Course: Information Theory
Instructor: Sanjeev Khudanpur
- Teaching Assistant
Johns Hopkins University (Fall Semester 2015)
Course: Introduction to Machine Learning
Instructor: Ilya Shpitser
| Publications |
- Shuoyang Ding, Hainan Xu, Philipp Koehn
Saliency-driven Word Alignment Interpretation for Neural Machine Translation
(WMT 2019 (to appear)) - Hainan Xu, Shuoyang Ding, Shinji Watanabe
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling
(ICASSP 2019) - Hainan Xu, Tongfei Chen, Dongji Gao, Yiming Wang, Ke Li, Nagendra Goel, Yishay Carmiel, Daniel Povey, Sanjeev Khudanpur
A Pruned Rnnlm Lattice-rescoring Algorithm for Automatic Speech Recognition
(ICASSP 2018) - Hainan Xu, Ke Li, Yiming Wang, Jian Wang, Shiyin Kang, Xie Chen, Daniel Povey, Sanjeev Khudanpur
Neural Network Language Modeling with Letter-based Features and Importance Sampling
(ICASSP 2018) - Hainan Xu, Guoguo Chen, Daniel Povey and Sanjeev Khudanpur.
Modeling Phonetic Contexts with Non-random Forests for Speech Recognition
(Interspeech 2015)
Super easy-to-follow slides Conference Poster - Hainan Xu, Philipp Koehn.
Zipporah, an Automatic Data-cleaning System for Noisy Web-crawled Parallel Corpora
(EMNLP 2017) - Huda Khayrallah, Hainan Xu, Philipp Koehn.
The JHU Parallel Corpus Filtering Systems for WMT 2018
(WMT workshop of EMNLP 2018) - Yiming Wang, David Snyder, Hainan Xu, Vimal Manohar, Phani Sankar Nidadavolu, Daniel Povey, Sanjeev Khudanpur
The JHU ASR System for VOiCES from a Distance Challenge 2019
(Interspeech 2019 (to appear)) - Hainan Xu, Yuchen Fan, Kai Yu
Development of the 2012 SJTU HVR System
(14th ACM International Conference on Multimodal Interaction) - Guoguo Chen, Hainan Xu, Minhua Wu, Daniel Povey and Sanjeev Khudanpur.
Pronunciation and Silence Probability Modeling for ASR
(Interspeech 2015) - Kai Yu, Hainan Xu
Cluster Adaptive Training with Factorized Decision Trees for Speech Recognition
(Interspeech 2013) - Ke Li, Hainan Xu, Yiming Wang, Dan Povey and Sanjeev Khudanpur
Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition
(Interspeech 2018) - Zhehuai Chen, Justin Luitjens, Hainan Xu, Yiming Wang, Daniel Povey, Sanjeev Khudanpur
A GPU-based WFST Decoder with Exact Lattice Generation
(Interspeech 2018 ) - Yiming Wang, Vijayaditya Peddinti, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur
Backstitch: Counteracting Finite-sample Bias via Negative Steps
(Interspeech 2017)
- Szu-Jui Chen, Aswin Shanmugam Subramanian, Hainan Xu, Shinji Watanabe
Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline
(Interspeech 2018 ) - Daniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu, Mahsa Yarmohamadi, Sanjeev Khudanpur
Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks
(Interspeech 2018 ) - Jan Trmal, Matthew Wiesner, Vijayaditya Peddinti, Xiaohui Zhang, Pegah Ghahremani, Yiming Wang, Vimal Manohar, Hainan Xu, Daniel Povey, Sanjeev Khudanpur
The Kaldi OpenKWS System: Improving Low Resource Keyword Search
(Interspeech 2017)