Wenzhe Shi

Generating author description...

All published works

Action	Title	Year	Authors
+	Multi-Objective Recommendation via Multivariate Policy Learning	2024	Olivier Jeunen Jatin Mandav Ivan Potapov N. Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko
+ PDF Chat	Multi-Objective Recommendation via Multivariate Policy Learning	2024	Olivier Jeunen Jatin Mandav Ivan Potapov Nakul Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko
+ PDF Chat	On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat	2023	Olivier Jeunen Hitesh Sagtani H. Doi Rasul Karimov Neeti Pokharna Md. Danish Kalim Aleksei Ustimenko C. Green Rishabh Mehrotra Wenzhe Shi
+	Learning to Rank For Push Notifications Using Pairwise Expected Regret	2022	Yuguang Yue Yuanpu Xie Huasen Wu Haofeng Jia Shaodan Zhai Wenzhe Shi Jonathan J. Hunt
+	Should I send this notification? Optimizing push notifications decision making by modeling the future	2022	Conor Cruise O’Brien Huasen Wu Shaodan Zhai Dalin Guo Wenzhe Shi Jonathan J. Hunt
+ PDF Chat	The 2021 RecSys Challenge Dataset: Fairness is not optional	2021	Luca Belli Alykhan Tejani Frank Portman Alexandre Lung-Yut-Fong Ben Chamberlain Yuanpu Xie Kristian Lum Jonathan J. Hunt Michael M. Bronstein Vito Walter Anelli
+	The 2021 RecSys Challenge Dataset: Fairness is not optional	2021	Luca Belli Alykhan Tejani Frank Portman Alexandre Lung-Yut-Fong Ben Chamberlain Yuanpu Xie Kristian Lum Jonathan J. Hunt Michael M. Bronstein Vito Walter Anelli Saikishore Kalloori Bruce Ferwerda
+	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations	2020	Dalin Guo Sofia Ira Ktena Pranay Kumar Myana Ferenc Huszár Wenzhe Shi Alykhan Tejani Michael Kneier Sourav Das
+ PDF Chat	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems	2020	Caojin Zhang Yicun Liu Yuanpu Xie Sofia Ira Ktena Alykhan Tejani Akshay Gupta Pranay Kumar Myana Deepak Dilipkumar Suvadip Paul Ikuhiro Ihara
+	Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline	2020	Luca Belli Sofia Ira Ktena Alykhan Tejani Alexandre Lung-Yut-Fon Frank Portman Xiao Zhu Yuanpu Xie Akshay Gupta Michael M. Bronstein Amra Delić
+	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems	2020	Caojin Zhang Yicun Liu Yuanpu Xie Sofia Ira Ktena Alykhan Tejani Akshay Gupta Pranay Kumar Myana Deepak Dilipkumar Suvadip Paul Ikuhiro Ihara
+	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations	2020	Dalin Guo Sofia Ira Ktena Ferenc Huszár Pranay Kumar Myana Wenzhe Shi Alykhan Tejani
+	Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline	2020	Luca Belli Sofia Ira Ktena Alykhan Tejani Alexandre Lung-Yut-Fon Frank Portman Xiao Zhu Yuanpu Xie Akshay Gupta Michael M. Bronstein Amra Delić
+ PDF Chat	Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis	2019	Ziad Al-Halah Andrew P. Aitken Wenzhe Shi J. A. Caballero
+ PDF Chat	Addressing delayed feedback for continuous training with neural networks in CTR prediction	2019	Sofia Ira Ktena Alykhan Tejani Lucas Theis Pranay Kumar Myana Deepak Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi
+	Smile, be Happy :) Emoji Embedding for Visual Sentiment Analysis	2019	Ziad Al-Halah Andrew P. Aitken Wenzhe Shi J. A. Caballero
+	Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction	2019	Sofia Ira Ktena Alykhan Tejani Lucas Theis Pranay Kumar Myana Deepak Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi
+	Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis	2019	Ziad Al-Halah Aitken Andrew Wenzhe Shi Caballero Jose
+ PDF Chat	Three-dimensional cardiovascular imaging-genetics: a mass univariate framework	2017	Carlo Biffi Antonio de Marvao Mark Attard Timothy J. W. Dawes Nicola Whiffin Wenjia Bai Wenzhe Shi Catherine Francis Hannah V. Meyer Rachel Buchan
+ PDF Chat	Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation	2017	José Caballero Christian Ledig Andrew P. Aitken Alejandro Acosta Johannes Totz Zehan Wang Wenzhe Shi
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang
+	Lossy Image Compression with Compressive Autoencoders	2017	Lucas Theis Wenzhe Shi Andrew Cunningham Ferenc Huszár
+	Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize	2017	Andrew P. Aitken Christian Ledig Lucas Theis José Caballero Zehan Wang Wenzhe Shi
+	Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks	2017	Joost R. van Amersfoort Wenzhe Shi Alejandro Acosta Francisco Massa Johannes Totz Zehan Wang José Caballero
+	Lossy Image Compression with Compressive Autoencoders	2017	Lucas Theis Wenzhe Shi Andrew A. Cunningham Ferenc Huszár
+	Fast Face-swap Using Convolutional Neural Networks	2016	Iryna Korshunova Wenzhe Shi Joni Dambre Lucas Theis
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang
+	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2016	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang
+	Is the deconvolution layer the same as a convolutional layer?	2016	Wenzhe Shi José Caballero Lucas Theis Ferenc Huszár Andrew P. Aitken Christian Ledig Zehan Wang
+	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang
+	Amortised MAP Inference for Image Super-resolution	2016	Casper Kaae Sønderby J. A. Caballero Lucas Theis Wenzhe Shi Ferenc Huszár
+	Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation	2016	José Caballero Christian Ledig Andrew P. Aitken Alejandro Acosta Johannes Totz Zehan Wang Wenzhe Shi
+	Fast Face-swap Using Convolutional Neural Networks	2016	Iryna Korshunova Wenzhe Shi Joni Dambre Lucas Theis
+	Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI	2013	Xiahai Zhuang Wenzhe Shi Haiyan Wang Daniel Rueckert Sébastien Ourselin

Common Coauthors

Coauthor	Papers Together
Ferenc Huszár	14
Alykhan Tejani	12
Lucas Theis	11
Andrew P. Aitken	10
José Caballero	9
Zehan Wang	9
Sofia Ira Ktena	8
Yuanpu Xie	7
Johannes Totz	7
Pranay Kumar Myana	6
Christian Ledig	6
Alejandro Acosta	5
Deepak Dilipkumar	4
Daniel Rueckert	4
Akshay Gupta	4
Michael M. Bronstein	4
Jonathan J. Hunt	4
Aleksei Ustimenko	3
Dalin Guo	3
Ziad Al-Halah	3
Andrew Cunningham	3
Olivier Jeunen	3
Luca Belli	3
J. A. Caballero	3
Frank Portman	3
Steven Yoo	2
Alexandre Lung-Yut-Fon	2
Joni Dambre	2
Jatin Mandav	2
Walter Anelli	2
Saikishore Kalloori	2
Gabriele Sottocornola	2
Iryna Korshunova	2
Kristian Lum	2
Yicun Liu	2
Shaodan Zhai	2
Jessie J. Smith	2
Rob Bishop	2
Prasang Upadhyaya	2
Ikuhiro Ihara	2
Caojin Zhang	2
Bruce Ferwerda	2
Huasen Wu	2
Amra Delić	2
Vito Walter Anelli	2
Suvadip Paul	2
Xiao Zhu	2
Nazareno Andrade	2
Sourabh Vaid	2
N. Agarwal	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	7
+ 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	7
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	6
+ PDF Chat	Image Super-Resolution Using Deep Convolutional Networks	2015	Chao Dong Chen Change Loy Kaiming He Xiaoou Tang	6
+ PDF Chat	Top-K Off-Policy Correction for a REINFORCE Recommender System	2019	Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H.	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang	5
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	5
+	Theano: A Python framework for fast computation of mathematical expressions	2016	The Theano Development Team Rami Al‐Rfou Guillaume Alain Amjad Almahairi Christof Angermueller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov	4
+ PDF Chat	Addressing delayed feedback for continuous training with neural networks in CTR prediction	2019	Sofia Ira Ktena Alykhan Tejani Lucas Theis Pranay Kumar Myana Deepak Dilipkumar Ferenc Huszár Steven Yoo Wenzhe Shi	4
+ PDF Chat	Accelerating the Super-Resolution Convolutional Neural Network	2016	Chao Dong Chen Change Loy Xiaoou Tang	4
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	4
+ PDF Chat	Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization	2011	Weisheng Dong Lei Zhang Guangming Shi Xiaolin Wu	4
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	3
+	How To Break Anonymity of the Netflix Prize Dataset	2006	Arvind Narayanan Vitaly Shmatikov	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+ PDF Chat	Deeply-Recursive Convolutional Network for Image Super-Resolution	2016	Jiwon Kim Jung Kwon Lee Kyoung Mu Lee	3
+ PDF Chat	Offline A/B Testing for Recommender Systems	2018	Alexandre Gilotte Clément Calauzènes Thomas Nedelec Alexandre Abraham Simon Dollé	3
+	Exact solutions to the nonlinear dynamics of learning in deep linear neural networks	2013	Andrew Saxe James L. McClelland Surya Ganguli	3
+	Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks	2015	Emily Denton Soumith Chintala Arthur Szlam Rob Fergus	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+ PDF Chat	Learning Spatiotemporal Features with 3D Convolutional Networks	2015	Du Tran Lubomir Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri	3
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	3
+	Deeply-Recursive Convolutional Network for Image Super-Resolution	2015	Jiwon Kim Jung Kwon Lee Kyoung Mu Lee	2
+	Fairness of Exposure in Rankings	2018	Ashudeep Singh Thorsten Joachims	2
+	DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks	2014	Tao Chen Damian Borth Trevor Darrell Shih‐Fu Chang	2
+	Deep reinforcement learning for page-wise recommendations	2018	Xiangyu Zhao Long Xia Liang Zhang Zhuoye Ding Dawei Yin Jiliang Tang	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2
+	PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System	2017	Xun Liu Wei Xue Lei Xiao Bo Zhang	2
+	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2016	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	2
+ PDF Chat	Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration	2016	Yunjin Chen Thomas Pock	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	How algorithmic confounding in recommendation systems increases homogeneity and decreases utility	2018	Allison J. B. Chaney Brandon Stewart Barbara E. Engelhardt	2
+	Deep Networks for Image Super-Resolution with Sparse Prior	2015	Zhaowen Wang Ding Liu Shuicheng Yan Wei Han Thomas S. Huang	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	Spatio-temporal video autoencoder with differentiable memory	2015	Viorica Pătrăucean Ankur Handa Roberto Cipolla	2
+	A comparison of quantile estimators	1994	T. E. Dielman Cynthia A. Lowry Roger C. Pfaffenberger	2
+	Semantic Image Inpainting with Perceptual and Contextual Losses.	2016	Raymond A. Yeh Chen Chen Teck-Yian Lim Mark Hasegawa–Johnson N. Minh	2
+	Texture Synthesis Using Convolutional Neural Networks	2015	Leon A. Gatys Alexander S. Ecker Matthias Bethge	2
+ PDF Chat	Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms	2011	Lihong Li Wei Chu John Langford Xuanhui Wang	2
+ PDF Chat	Visualizing Deep Convolutional Neural Networks Using Natural Pre-images	2016	Aravindh Mahendran Andrea Vedaldi	2
+	End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks	2016	Yifan Wang Lijun Wang Hongyu Wang Peihua Li	2
+ PDF Chat	DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation	2016	Yaroslav Ganin Daniil Kononenko Diana Sungatullina Victor Lempitsky	2
+ PDF Chat	Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark	2016	Quanzeng You Jiebo Luo Hailin Jin Shuicheng Yan	2
+ PDF Chat	A bagging SVM to learn from positive and unlabeled examples	2013	Fantine Mordelet Jean‐Philippe Vert	2
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	2