Wenlin Chen

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All published works

Action	Title	Year	Authors
+ PDF Chat	Wukong: Towards a Scaling Law for Large-Scale Recommendation	2024	Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu Daifeng Guo Y.L. Zhao Li Shen Yuchen Hao Yantao Yao
+ PDF Chat	Diffusive Gibbs Sampling	2024	Wenlin Chen Ming‐Tian Zhang Brooks Paige José Miguel Hernández-Lobato David Barber
+	Leveraging Task Structures for Improved Identifiability in Neural Network Representations	2023	Wenlin Chen Julien Horwood Juyeon Heo José Miguel Hernández-Lobato
+	Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking	2023	Xuewei Wang Qiang Jin Shengyu Huang Min Zhang Xi Liu Zhengli Zhao Yukun Chen Zhengyu Zhang Jiyan Yang Ellie Wen
+	It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation	2023	Wen Wu Wenlin Chen Chao Zhang Philip C. Woodland
+ PDF Chat	To Ensemble or Not Ensemble: When Does End-to-End Training Fail?	2021	Andrew Webb Charles Reynolds Wenlin Chen Henry W. J. Reeve Dan Andrei Iliescu Mikel Luján Gavin Brown
+	The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast	2020	Wenlin Chen Fang Lu Yan Dong
+	To Ensemble or Not Ensemble: When does End-To-End Training Fail?	2019	Andrew Webb Charles Reynolds Wenlin Chen Henry W. J. Reeve Dan-Andrei Iliescu Mikel Luján Gavin Brown
+	Deep Learning Recommendation Model for Personalization and Recommendation Systems	2019	Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman Jongsoo Park Xiaodong Wang Udit Gupta Carole-Jean Wu Alisson G. Azzolini
+	To Ensemble or Not Ensemble: When does End-To-End Training Fail?	2019	Andrew M. Webb Charles F. Reynolds Wenlin Chen Henry W. J. Reeve Dan-Andrei Iliescu Mikel Luján Gavin Brown
+ PDF Chat	Strategies for Training Large Vocabulary Neural Language Models	2016	Wenlin Chen David Grangier Michael Auli
+ PDF Chat	Hybrid glasses from strong and fragile metal-organic framework liquids	2015	Thomas D. Bennett Jin‐Chong Tan Yuanzheng Yue Emma F. Baxter Caterina Ducati Nicholas J. Terrill Hamish H.‐M. Yeung Zhongfu Zhou Wenlin Chen Sebastian Henke
+	Compressing Convolutional Neural Networks	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen
+	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing	2014	Quan Zhou Wenlin Chen Shiji Song Jacob R. Gardner Kilian Q. Weinberger Yixin Chen
+	Fast Search Strategies for Fractal Image Compression	2012	Yih-Lon Lin Wenlin Chen

Common Coauthors

Coauthor	Papers Together
Henry W. J. Reeve	3
Mikel Luján	3
Gavin Brown	3
Jongsoo Park	2
Maxim Naumov	2
Kilian Q. Weinberger	2
José Miguel Hernández-Lobato	2
Xi Liu	2
Dan-Andrei Iliescu	2
Charles Reynolds	2
Andrew Webb	2
Emma F. Baxter	1
Sebastian Henke	1
Yinghai Lu	1
Carole-Jean Wu	1
Zhongfu Zhou	1
Jiyan Yang	1
Udit Gupta	1
Yuanzheng Yue	1
Fang Lu	1
Raghuraman Krishnamoorthi	1
Thomas D. Bennett	1
Dmytro Dzhulgakov	1
Zhengli Zhao	1
Buyun Zhang	1
Ansha Yu	1
Qin Huang	1
Yan Dong	1
Hao-Jun Michael Shi	1
Stephanie Pereira	1
Julien Horwood	1
Ilia Cherniavskii	1
Andrey Mallevich	1
Charles F. Reynolds	1
Yih-Lon Lin	1
David Grangier	1
Dheevatsa Mudigere	1
Liang Xiong	1
Narayanan Sundaraman	1
Brooks Paige	1
Jacob R. Gardner	1
Jin‐Chong Tan	1
Stephen Tyree	1
Dan Andrei Iliescu	1
Li Shen	1
Juyeon Heo	1
Michael Auli	1
Anthony K. Cheetham	1
Quan Zhou	1
Nicholas J. Terrill	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	2
+	Born Again Neural Networks	2018	Tommaso Furlanello Zachary C. Lipton Michael Tschannen Laurent Itti Anima Anandkumar	2
+ PDF Chat	Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?	2019	Shilin Zhu Xin Dong Hao Su	2
+	On the Connection of Deep Fusion to Ensembling.	2016	Li-Ming Zhao Jingdong Wang Xi Li Zhuowen Tu Wenjun Zeng	2
+ PDF Chat	Coupled ensembles of neural networks	2019	Anuvabh Dutt Denis Pellerin Georges Quénot	2
+ PDF Chat	Diversity creation methods: a survey and categorisation	2004	Gavin Brown Jeremy Wyatt Rachel Harris Xin Yao	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Multi-Scale Dense Networks for Resource Efficient Image Classification	2018	Gao Huang Danlu Chen Tianhong Li Felix Wu Laurens van der Maaten Kilian Q. Weinberger	2
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	1
+	Fast Training of Convolutional Networks through FFTs	2013	Michaël Mathieu Mikael Henaff Yann LeCun	1
+ PDF Chat	The rank of sparse random matrices over finite fields	1997	Johannes Blömer Richard M. Karp Emo Welzl	1
+	Recurrent Iterated Function Systems	1989	Michael F. Barnsley John H. Elton Douglas P. Hardin	1
+	Fast fractal image compression using spatial correlation	2004	Trieu‐Kien Truong Chih-Ming Kung Jyh-Horng Jeng Ming‐Chia Hsieh	1
+ PDF Chat	Thermodynamic−Kinetic Correlations in Supercooled Liquids: A Critical Survey of Experimental Data and Predictions of the Random First-Order Transition Theory of Glasses	2005	Jacob D. Stevenson Peter G. Wolynes	1
+	Novel fractal image encoding algorithm using normalized one-norm and kick-out condition	2009	Hsiu-Niang Chen Kuo‐Liang Chung Jian-Er Hung	1
+	On the rank of random matrices	2000	Colin Cooper	1
+ PDF Chat	Amorphization Induced by Pressure: Results for Zeolites and General Implications	2006	I. Peral Jorge Íñiguez	1
+ PDF Chat	Structure and Properties of an Amorphous Metal-Organic Framework	2010	Thomas D. Bennett Andrew L. Goodwin Martin T. Dove David A. Keen Matthew G. Tucker Emma R. Barney Alan K. Soper Erica G. Bithell Jin‐Chong Tan Anthony K. Cheetham	1
+	Spatial correlation genetic algorithm for fractal image compression	2005	Ming-Sheng Wu Wei-Chih Teng Jyh-Horng Jeng Jer‐Guang Hsieh	1
+ PDF Chat	Feature hashing for large scale multitask learning	2009	Kilian Q. Weinberger Anirban Dasgupta John Langford Alex Smola Josh Attenberg	1
+	The asymptotic probability that a random biased matrix is invertible	1990	Leonard S. Charlap Howard D. Rees David P. Robbins	1
+ PDF Chat	Suppression of tunneling two-level systems in ultrastable glasses of indomethacin	2014	Tomás Pérez-Castañeda Cristian Rodríguez-Tinoco J. Rodrı́guez-Viejo M. A. Ramos	1
+	Schema genetic algorithm for fractal image compression	2006	Ming-Sheng Wu Jyh-Horng Jeng Jer‐Guang Hsieh	1
+	Singularity Probabilities for Random Matrices over Finite Fields	2001	Jeff Kahn János Komlós	1
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	1
+	On Using Very Large Target Vocabulary for Neural Machine Translation	2015	Sébastien Jean Kyunghyun Cho Roland Memisevic Yoshua Bengio	1
+	Parallel Coordinate Descent for L1-Regularized Loss Minimization	2011	Joseph K. Bradley Aapo Kyrola Danny Bickson Carlos Guestrin	1
+	Optimum parameters for hybrid fractal image coding	2002	S.J. Woolley D.M. Monro	1
+	Fractal approximation of image blocks	1992	D.M. Monro Frank Dudbridge	1
+	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	2014	Vadim Lebedev Yaroslav Ganin Maksim Rakhuba Ivan Oseledets Victor Lempitsky	1
+	Neural Machine Translation by Jointly Learning to Align and Translate	2014	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	1
+	Do Deep Nets Really Need to be Deep?	2013	Jimmy Ba Rich Caruana	1
+	Study on Huber Fractal Image Compression	2009	Jyh-Horng Jeng Chun‐Chieh Tseng Jer‐Guang Hsieh	1
+	Image coding based on a fractal theory of iterated contractive image transformations	1992	A. Jacquin	1
+	An Equivalence between the Lasso and Support Vector Machines	2013	Martin Jaggi	1
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	1
+ PDF Chat	Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services	2015	Andrea Tassi Ioannis Chatzigeorgiou Daniel E. Lucani	1
+	Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks	2015	Stefan Lee Senthil Purushwalkam Michael Cogswell David Crandall Dhruv Batra	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Exploring the Limits of Language Modeling	2016	Rafał Józefowicz Oriol Vinyals Mike Schuster Noam Shazeer Yonghui Wu	1
+	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	1
+ PDF Chat	Markov Chain Model for the Decoding Probability of Sparse Network Coding	2017	Pablo Garrido Daniel E. Lucani Ramón Agüero	1
+	Residual Networks Behave Like Ensembles of Relatively Shallow Networks	2016	Andreas Veit Michael J. Wilber Serge Belongie	1
+	Decoding Delay Performance of Random Linear Network Coding for Broadcast	2017	Ioannis Chatzigeorgiou Andrea Tassi	1
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	1
+	Limits of End-to-End Learning	2017	Tobias Glasmachers	1
+ PDF Chat	One billion word benchmark for measuring progress in statistical language modeling	2014	Ciprian Chelba Tomáš Mikolov Mike Schuster Qi Ge Thorsten Brants Phillipp Koehn Tony Robinson	1
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	1