Zhourong Chen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis	2022	Eldon Schoop Xin Zhou Gang Li Zhourong Chen Bjoern Hartmann Yang Li
+	Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis	2022	Eldon Schoop Xin Zhou Gang Li Zhourong Chen Björn Hartmann Yang Li
+	Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning	2021	Bryan Wang Gang Li Xin Zhou Zhourong Chen Tovi Grossman Yang Li
+	Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning	2021	Bryan Wang Gang Li Xin Zhou Zhourong Chen Tovi Grossman Yang Li
+	Dataset Meta-Learning from Kernel Ridge-Regression	2020	Timothy Nguyen Zhourong Chen Jaehoon Lee
+	Dataset Meta-Learning from Kernel Ridge-Regression	2020	Timothy Nguyen Zhourong Chen Jaehoon Lee
+ PDF Chat	You Look Twice: GaterNet for Dynamic Filter Selection in CNNs	2019	Zhourong Chen Yang Li Samy Bengio Si Si
+ PDF Chat	A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models	2019	Peixian Chen Zhourong Chen Nevin L. Zhang
+	GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network.	2018	Zhourong Chen Yang Li Samy Bengio Si Si
+	Building Sparse Deep Feedforward Networks using Tree Receptive Fields	2018	Xiaopeng Li Zhourong Chen Nevin L. Zhang
+	Building Sparse Deep Feedforward Networks using Tree Receptive Fields	2018	Xiaopeng Li Zhourong Chen Nevin L. Zhang
+	Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion	2018	Zhourong Chen Xiaopeng Li Nevin L. Zhang
+	You Look Twice: GaterNet for Dynamic Filter Selection in CNNs	2018	Zhourong Chen Li Yang Samy Bengio Si Si
+	Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering	2018	Xiaopeng Li Zhourong Chen Leonard K. M. Poon Nevin L. Zhang
+	Document Generation with Hierarchical Latent Tree Models.	2017	Peixian Chen Zhourong Chen Nevin L. Zhang
+	Latent tree models for hierarchical topic detection	2017	Peixian Chen Nevin L. Zhang Tengfei Liu Leonard K. M. Poon Zhourong Chen Farhan Khawar
+ PDF Chat	Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis	2017	Zhourong Chen Nevin L. Zhang Dit‐Yan Yeung Peixian Chen
+	A Novel Document Generation Process for Topic Detection based on Hierarchical Latent Tree Models	2017	Peixian Chen Zhourong Chen Nevin L. Zhang
+ PDF Chat	Progressive EM for Latent Tree Models and Hierarchical Topic Detection	2016	Peixian Chen Nevin Zhang Leonard K. M. Poon Zhourong Chen
+	Latent Tree Models for Hierarchical Topic Detection	2016	Peixian Chen Nevin L. Zhang Tengfei Liu Leonard K. M. Poon Zhourong Chen Farhan Khawar
+	Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis	2016	Zhourong Chen Nevin L. Zhang Dit Yan Yeung Peixian Chen
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo
+	Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting	2015	Xingjian Shi Zhourong Chen Hao Wang Dit‐Yan Yeung Wai Kin Wong Wang‐chun Woo
+	Progressive EM for Latent Tree Models and Hierarchical Topic Detection	2015	Peixian Chen Nevin L. Zhang Leonard K. M. Poon Zhourong Chen

Common Coauthors

Coauthor	Papers Together
Nevin L. Zhang	12
Peixian Chen	9
Leonard K. M. Poon	5
Gang Li	3
Dit‐Yan Yeung	3
Si Si	3
Samy Bengio	3
Yang Li	2
Farhan Khawar	2
Eldon Schoop	2
Wang‐chun Woo	2
Tovi Grossman	2
Xingjian Shi	2
Xiaopeng Li	2
Jaehoon Lee	2
Yang Li	2
Xin Zhou	2
Tengfei Liu	2
Xiaopeng Li	2
Timothy Nguyen	2
Bryan Wang	2
Wai Kin Wong	2
Hao Wang	1
Hao Wang	1
Björn Hartmann	1
Bjoern Hartmann	1
Xin Zhou	1
Nevin Zhang	1
Dit Yan Yeung	1
Yang Li	1
Yang Li	1
Xin Zhou	1
Gang Li	1
Li Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis	2017	Zhourong Chen Nevin L. Zhang Dit‐Yan Yeung Peixian Chen	6
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	6
+ PDF Chat	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies	2010	David M. Blei Thomas L. Griffiths Michael I. Jordan	5
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	5
+ PDF Chat	Nested Hierarchical Dirichlet Processes	2014	John Paisley Chong Wang David M. Blei Michael I. Jordan	5
+ PDF Chat	Progressive EM for Latent Tree Models and Hierarchical Topic Detection	2016	Peixian Chen Nevin Zhang Leonard K. M. Poon Zhourong Chen	5
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	4
+	Learning the Structure of Deep Sparse Graphical Models	2010	Ryan P. Adams Hanna Wallach Zoubin Ghahramani	4
+ PDF Chat	On-Line Expectation–Maximization Algorithm for latent Data Models	2009	Olivier Cappé Éric Moulines	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	4
+	Latent Variable Models and Factor Analysis	1989	Kikumi K. Tatsuoka David J. Bartholomew	4
+	Mapping Natural Language Instructions to Mobile UI Action Sequences	2020	Yang Li Jiacong He Xin Zhou Yuan Zhang Jason Baldridge	3
+ PDF Chat	A Survey on Latent Tree Models and Applications	2013	Raphaël Mourad Christine Sinoquet Nevin L. Zhang Tao Liu Philippe Leray	3
+	Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer	2017	Noam Shazeer Azalia Mirhoseini Krzysztof Maziarz Andy Davis Quoc V. Le Geoffrey E. Hinton Jeff Dean	3
+	Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	2015	Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio	3
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks	2013	Andrew S. Davis Itamar Arel	3
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	3
+	Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion	2018	Zhourong Chen Xiaopeng Li Nevin L. Zhang	3
+ PDF Chat	Convolutional Networks with Adaptive Inference Graphs	2018	Andreas Veit Serge Belongie	3
+	Fast Decoding in Sequence Models using Discrete Latent Variables	2018	Łukasz Kaiser Aurko Roy Ashish Vaswani Niki Parmar Samy Bengio Jakob Uszkoreit Noam Shazeer	3
+ PDF Chat	Predicting Visual Importance Across Graphic Design Types	2020	Camilo Fosco Vincent Casser Amish Kumar Bedi Peter O’Donovan Aaron Hertzmann Zoya Bylinskii	3
+	Shake-Shake regularization	2017	Xavier Gastaldi	3
+	Screen2Vec: Semantic Embedding of GUI Screens and GUI Components	2021	Toby Jia-Jun Li Lindsay Popowski Tom M. Mitchell Brad A. Myers	3
+	Bayesian Model Selection in Social Research	1995	Adrian E. Raftery	3
+	Deep Sequential Neural Network	2014	Ludovic Denoyer Patrick Gallinari	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	3
+ PDF Chat	Deep Learning of Representations: Looking Forward	2013	Yoshua Bengio	3
+ PDF Chat	Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning	2019	Amanda Swearngin Yang Li	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Data-free parameter pruning for Deep Neural Networks	2015	Suraj Srinivas R. Venkatesh Babu	3
+	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	2
+	Theano: new features and speed improvements	2012	Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Unsupervised Learning of Video Representations using LSTMs	2015	Nitish Srivastava Elman Mansimov Ruslan Salakhutdinov	2
+	Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning	2014	Le Song Han Liu Ankur P. Parikh Eric P. Xing	2
+	Conditional Computation in Neural Networks for faster models	2015	Emmanuel Bengio Pierre‐Luc Bacon Joëlle Pineau Doina Precup	2
+	Generating Sequences With Recurrent Neural Networks	2013	Alex Graves	2
+	Neural GPUs Learn Algorithms	2015	Łukasz Kaiser Ilya Sutskever	2
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	2
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	2
+	Discrete Autoencoders for Sequence Models	2018	Łukasz Kaiser Samy Bengio	2
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	2
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	2
+	A Deep Reinforced Model for Abstractive Summarization	2017	Romain Paulus Caiming Xiong Richard Socher	2