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I'm Sida Wang (王思达), a PhD student in the computer science department at Stanford University. I am advised by Prof. Chris Manning and I am part of the NLP group.
In 2011, I obtained my Bachelor of Applied Sciences in Engineering Science majoring in Computer Engineering at the University of Toronto, where my thesis was advised by Prof. Geoff Hinton.

You can get to me by email: sidaw [AT] cs.stanford.edu. Or by walking into my Gates 230 office: Calendar

github: contains some of my code

Google Scholar profile

Asked Questions / Errata

Research interests

Machine learning, NLP and related things.

See details on current & past projects on my research wiki, all materials are publicly available unless requested by my collaborators.



A sub-constant improvement in approximating the positive semidefinite Grothendieck problem
Roy Frostig, Sida Wang (alphabetical order)
arXiv [ paper ] [bib]

Altitude Training: Strong Bounds for Single-Layer Dropout
Stefan Wager, William Fithian, Sida Wang, Percy Liang
arXiv [ paper ] [bib]

Relaxations for inference in restricted Boltzmann machines
Sida Wang*, Roy Frostig*, Percy Liang, and Chris Manning
ICLR 2014 Workshop Track [ paper ] [ slides ] [ video ] [bib]


Feature Noising for Log-linear Structured Prediction
Sida Wang*, Mengqiu Wang*, Stefan Wager, Percy Liang, and Chris Manning
Empirical Methods in Natural Language Processing 2013, EMNLP 2013
[ paper] [bib]

Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang and Percy Liang
arXiv, NIPS 2013
[ paper ] [ baylearn talk] [longer version with CRFs] [bib]

Fast and Adaptive Online Training of Feature-Rich Translation Models
Spence Green, Sida Wang, Dan Cer, and Chris Manning
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, ACL2013
[ paper] [bib]

Fast dropout training
Sida Wang and Chris Manning
International Conference on Machine Learning, ICML2013
[ paper] [spotlight talk ] [ Code on github | zip ] [bib]

Feature-Rich Phrase-based Translation: Stanford University’s Submission to the WMT 2013 Translation Task
Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Sida Wang, Natalia Silveira, Julia Neidert and Christopher D. Manning
ACL 2013 Eighth Workshop on Statistical Machine Translation WMT13
[ paper] [bib]


Fast dropout training for logistic regression
Sida Wang and Chris Manning
Neural Information Processing Systems 2012 workshop on log-linear models, NIPS2012WS
[ paper] [ talk slides] [ Video ] [bib]
This paper is obsoleted by our later [ ICML paper]

Baselines and Bigrams: Simple, Good Sentiment and Text Classification
Sida Wang and Chris Manning
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, ACL2012
[ paper] Code/Data] [bib]


Object Recognition using Capsules
Geoffrey Hinton, Alex Krizhevsky and Sida Wang
International Conference on Artificial Neural Networks ICANN2011
[paper] [bib]

Thesis and other projects

Learning to extract parameterized features by predicting transformed images
Sida Wang
EngSci Undergraduate Thesis

Invited Talks

Feature noising as regularization
Nuance Research Lab, Sept 2013

Fast and Adaptive Online Training of Feature-Rich Translation Models
with Spence Green Machine Translation Group, Google Mountain View, April 2013


Older Projects