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start [2014/02/17 22:50]
sidaw
start [2015/06/30 21:02] (current)
sidaw [Homepage]
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 =====Homepage ===== =====Homepage =====
 +[[http://​nlp.stanford.edu/​~sidaw/​home/​_media/​sidaw2015ryfull.png|{{:​sidaw2015ry.png?​240}}]]
  
-{{:​sidaw2012.png?​300|}}\\ +{{:​h00.gif?​linkonly|mesh}}
-{{:​h00.gif?​linkonly|need a mesh?}}+
  
 I'm Sida Wang (王思达),​ a PhD student in the computer science department at Stanford University. I'm Sida Wang (王思达),​ a PhD student in the computer science department at Stanford University.
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 In 2011, I obtained my Bachelor of Applied Sciences in [[http://​www.engsci.utoronto.ca/​|Engineering Science]] majoring in Computer Engineering at the University of Toronto, where my thesis was advised by Prof. [[http://​www.cs.toronto.edu/​~hinton/​|Geoff Hinton]].\\ In 2011, I obtained my Bachelor of Applied Sciences in [[http://​www.engsci.utoronto.ca/​|Engineering Science]] majoring in Computer Engineering at the University of Toronto, where my thesis was advised by Prof. [[http://​www.cs.toronto.edu/​~hinton/​|Geoff Hinton]].\\
  
-You can get to me by email: sidaw [AT] cs.stanford.edu. Or by walking into my Gates 230 office:  +Perhaps it's the best to contact ​me by email: sidaw [AT] cs.stanford.edu. Or by walking into my office at Gates 230.
-[[https://​www.google.com/​calendar/​embed?​src=sidawang88%40gmail.com&​ctz=America/​Los_Angeles|Calendar]]+
  
 **[[https://​github.com/​sidaw|github]]**:​ contains some of my code **[[https://​github.com/​sidaw|github]]**:​ contains some of my code
  
-**[[http://​scholar.google.com/​citations?​user=XUI4PMEAAAAJ | Google Scholar]]**: tracks citations+**[[http://​scholar.google.com/​citations?​user=XUI4PMEAAAAJ | Google Scholar]]** ​profile
  
 [[commentary| Asked Questions / Errata ]] [[commentary| Asked Questions / Errata ]]
- 
 ===== Research interests ===== ===== Research interests =====
  
 Machine learning, NLP and related things. Machine learning, NLP and related things.
- 
-See details on current & past projects on my [[http://​www.stanford.edu/​~sidaw/​cgi-bin/​doku/​doku.php | research wiki]], all materials are publicly available unless requested by my collaborators. 
  
 ===== Publications ===== ===== Publications =====
-====2013==== 
  
-//Relaxations for inference in restricted Boltzmann machines//\\ +====2014==== 
-Sida Wang*Roy Frostig*, Percy Liang, and Chris Manning\\+<color #​EA672E>​Simple MAP Inference via Low-Rank Relaxations<​/color>​\\ 
 +Roy Frostig, Sida I. Wang, Percy Liang, Christoper D. Manning\\ 
 +Advances in Neural Information Processing Systems **[[http://​nips.cc/​Conferences/​2014/​|NIPS 2014]]**\\ 
 +[ {{:​papers:​frostig2014lowrank.pdf|paper}}] [[https://​www.codalab.org/​worksheets/​0x106abb3b47be492aa7387f528c943faa | [CodaLab worksheet] ]] ++[bib]| 
 +\\  @inproceedings{frostig2014lowrank,​ 
 +\\  author = {R. Frostig and S. Wang and P. Liang and C. Manning}, 
 +\\  booktitle = {Advances in Neural Information Processing Systems (NIPS)}, 
 +\\  title = {Simple {MAP} inference ​via low-rank relaxations},​ 
 +\\  year = {2014}, 
 +\\  } 
 +++ 
 +\\ 
 + 
 +<color #​EA672E>​Human Effort and Machine Learnability ​in Computer Aided Translation<​/color>\\ 
 +Spence Green, ​Sida Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning \\ 
 +Empirical Methods in Natural Language Processing 2014, **[[http://​emnlp2014.org/​|EMNLP 2014]]**\\ 
 +[ {{:​papers:​green14humaneffort.pdf|paper}}] ++[bib]| 
 +\\ @inproceedings{green14humaneffort, 
 +\\ author ​     = {Spence Green, Sida I. Wang, Jason Chuang, Jeffrey Heer, and Christopher D. Manning}, 
 +\\ title       = {Human Effort and Machine Learnability in Computer Aided Translation},​ 
 +\\ booktitle = {Empirical Methods in Natural Language Processing (EMNLP)}, 
 +\\ year={2014} 
 +\\ } 
 +++ 
 +\\ 
 + 
 +<color #​EA672E>​A sub-constant improvement in approximating the positive semidefinite Grothendieck problem</​color>​\\ 
 +Roy Frostig, Sida Wang (theory order)\\
 arXiv arXiv
-[ [[http://​arxiv.org/​abs/​1312.6205|paper]] ]  ++[bib]|+[ [[http://​arxiv.org/​abs/​1408.2270|paper]] ]   
 +++[bib]| 
 +\\ @Online{frostig14subconst,​ 
 +\\  author = {Roy Frostig and Sida I. Wang}, 
 +\\  archivePrefix = "​arXiv",​ 
 +\\  eprint ​       = "​1408.2270",​ 
 +\\  primaryClass ​ = "​CS.DS"​ 
 +\\  title = {A sub-constant improvement in approximating the positive semidefinite Grothendieck problem}, 
 +\\  year = {2014}, 
 +\\  } 
 +++ 
 +\\ 
 + 
 +<color #​EA672E>​Altitude Training: Strong Bounds for Single-Layer Dropout</​color>​\\ 
 +Stefan Wager, William Fithian, Sida Wang, Percy Liang \\ 
 +arXiv, **[[http://​nips.cc/​Conferences/​2014/​|NIPS 2014]]**\\ 
 +[ [[http://​arxiv.org/​abs/​1407.3289|paper]] ]   
 +++[bib]| 
 +\\ @Online{wager14altitude,​ 
 +\\  author = {Stefan Wager and William Fithian and Sida I. Wang and Percy Liang}, 
 +\\  archivePrefix = "​arXiv",​ 
 +\\  eprint ​       = "​1407.3289",​ 
 +\\  primaryClass ​ = "​stat.ML"​ 
 +\\  title = {Altitude Training: Strong Bounds for Single-Layer Dropout}, 
 +\\  year = {2014}, 
 +\\  } 
 +++ 
 +\\ 
 + 
 + 
 +<color #​EA672E>​Relaxations for inference in restricted Boltzmann machines</​color>​\\ 
 +Sida Wang*, Roy Frostig*, Percy Liang, and Chris Manning\\ 
 +ICLR 2014 Workshop Track 
 +[ [[http://​arxiv.org/​abs/​1312.6205|paper]] ]  ​ 
 +[ {{:​papers:​rrr_iclr2014.pdf|slides}} ] 
 +[[http://​www.youtube.com/​watch?​v=v1F1-izecl8|[video] ]] 
 +++[bib]|
 \\ @Online{sidaw2013rbm,​ \\ @Online{sidaw2013rbm,​
 \\  author = {Sida I. Wang and Roy Frostig and Percy Liang and Christoper D. Manning}, \\  author = {Sida I. Wang and Roy Frostig and Percy Liang and Christoper D. Manning},
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 \\  title = {Relaxations for inference in restricted Boltzmann machines}, \\  title = {Relaxations for inference in restricted Boltzmann machines},
 \\  year = {2013}, \\  year = {2013},
-\\}+\\  }
 ++ ++
 \\ \\
 +====2013====
  
-//Feature Noising for Log-linear Structured Prediction//\\+<color #EA672E>Feature Noising for Log-linear Structured Prediction</color>\\
 Sida Wang*, Mengqiu Wang*, Stefan Wager, Percy Liang, and Chris Manning\\ Sida Wang*, Mengqiu Wang*, Stefan Wager, Percy Liang, and Chris Manning\\
-*: equal contribution\\ 
 Empirical Methods in Natural Language Processing 2013, **[[http://​hum.csse.unimelb.edu.au/​emnlp2013/​papers.html|EMNLP 2013]]**\\ Empirical Methods in Natural Language Processing 2013, **[[http://​hum.csse.unimelb.edu.au/​emnlp2013/​papers.html|EMNLP 2013]]**\\
 [ {{:​papers:​crfdropout.pdf|paper}}] ++[bib]| [ {{:​papers:​crfdropout.pdf|paper}}] ++[bib]|
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 \\ \\
  
-//Dropout Training as Adaptive Regularization/​/\\+<color #EA672E>Dropout Training as Adaptive Regularization</color>\\
 Stefan Wager, Sida Wang and Percy Liang\\ Stefan Wager, Sida Wang and Percy Liang\\
 arXiv, **[[http://​nips.cc/​Conferences/​2013/​|NIPS 2013]]**\\ arXiv, **[[http://​nips.cc/​Conferences/​2013/​|NIPS 2013]]**\\
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 \\ \\
  
-//Fast and Adaptive Online Training of Feature-Rich Translation Models//\\+<color #EA672E>Fast and Adaptive Online Training of Feature-Rich Translation Models</color>\\
 Spence Green, Sida Wang, Dan Cer, and Chris Manning\\ Spence Green, Sida Wang, Dan Cer, and Chris Manning\\
 Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics,​ Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics,​
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 \\ \\
  
-//Fast dropout training//\\+<color #EA672E>Fast dropout training</color>\\
 Sida Wang and Chris Manning\\ Sida Wang and Chris Manning\\
 International Conference on Machine Learning, International Conference on Machine Learning,
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 ++ ++
  
-//Feature-Rich Phrase-based Translation:​ Stanford University’s Submission +<color #EA672E>Feature-Rich Phrase-based Translation:​ Stanford University’s Submission 
-to the WMT 2013 Translation Task//\\+to the WMT 2013 Translation Task</color>\\
 Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer, Spence Green, Daniel Cer, Kevin Reschke, Rob Voigt, John Bauer,
 Sida Wang, Natalia Silveira, Julia Neidert and Christopher D. Manning\\ Sida Wang, Natalia Silveira, Julia Neidert and Christopher D. Manning\\
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 ====2012==== ====2012====
  
-//Fast dropout training for logistic regression//\\+<color #EA672E>Fast dropout training for logistic regression</color>\\
 Sida Wang and Chris Manning\\ Sida Wang and Chris Manning\\
 Neural Information Processing Systems 2012 workshop on log-linear models, Neural Information Processing Systems 2012 workshop on log-linear models,
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 This paper is obsoleted by our later [{{:​papers:​icmldropout.pdf| ICML paper}}] This paper is obsoleted by our later [{{:​papers:​icmldropout.pdf| ICML paper}}]
  
-//Baselines and Bigrams: Simple, Good Sentiment and Text Classification/​/\\+<color #EA672E>Baselines and Bigrams: Simple, Good Sentiment and Text Classification</color>\\
 Sida Wang and Chris Manning\\ Sida Wang and Chris Manning\\
 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics,​ Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics,​
 **[[http://​aclweb.org/​anthology/​P/​P12/​| ACL2012]]** **[[http://​aclweb.org/​anthology/​P/​P12/​| ACL2012]]**
-\\ [{{:​papers:​compareacl.pdf| paper}}] [//[[projects:​nbsvm|Code/​Data]]//] ++[bib]|+\\ [{{:​papers:​compareacl.pdf| paper}}] [ [[projects:​nbsvm|Code/​Data]] ] ++[bib]|
 \\ @inproceedings{sidaw12simple, ​ \\ @inproceedings{sidaw12simple, ​
 \\ author = {Wang, Sida I. and Manning, Christopher D.}, \\ author = {Wang, Sida I. and Manning, Christopher D.},
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 ====2011==== ====2011====
  
-//Object Recognition using Capsules//\\+<color #EA672E>Object Recognition using Capsules</color>\\
 Geoffrey Hinton, Alex Krizhevsky and Sida Wang\\ Geoffrey Hinton, Alex Krizhevsky and Sida Wang\\
 International Conference on Artificial Neural Networks International Conference on Artificial Neural Networks
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 ==== Thesis and other projects ==== ==== Thesis and other projects ====
-//Learning to extract parameterized features by predicting transformed images//\\+<color #EA672E>Learning to extract parameterized features by predicting transformed images</color>\\
 Sida Wang\\ Sida Wang\\
 EngSci Undergraduate Thesis\\ EngSci Undergraduate Thesis\\