This page is out-of-date. I'm currently at Sapling (SF/LA).
Ziang Xie
- Contact
zxie@cs.stanford.edu, Gates 110- Position
- PhD student, Computer Science, 2013—present
- Advisors
- Andrew Ng, Dan Jurafsky
- Interests
- machine learning, natural language processing, deep learning
- Elsewhere
- Twitter Google Scholar
Papers
- Neural Text Generation: A Practical Guide. arXiv:1711.09534, 2017 [pdf]
- Data Noising as Smoothing in Neural Network Language Models. Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Levy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng. ICLR, 2017 + Baylearn, 2016. [pdf] [code]
- Neural Language Correction with Character-Based Attention. Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng. arXiv:1603.09727, 2016 [pdf] [code]
- Lexicon-Free Conversational Speech Recognition with Neural Networks. Andrew L. Maas*, Ziang Xie*, Dan Jurafsky, Andrew Y. Ng. NAACL, 2015 [pdf]
- Building DNN Acoustic Models for Large Vocabulary Speech Recognition. Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng. Computer Speech & Language, Volume 41. [pdf]
Full listing: Google Scholar
Teaching
- Co-head TA, CS229, Machine Learning, Fall 2017
- Head TA, CS124, From Languages to Information, Spring 2017
- TA, CS229, Machine Learning, Fall 2016
Before
- Intern, Summer 2016, Google Brain, hosted by Quoc Le
- Undergraduate Researcher, 2011-2013, UC Berkeley (BAIR), mentored by Pieter Abbeel
Other
- NDSEG Fellowship, 2014-2017
- Stanford SoE Fellowship, 2013-2014