Bian Wu

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All published works

Action	Title	Year	Authors
+	Evolution of transmission risk in public health emergencies: an MCMC-based approach in the Chinese context	2024	Chaoyu Zheng Zhaoqiang Zhong Bian Wu Xuan Zhao Mu Yue Benhong Peng
+ PDF Chat	DPPMask: Masked Image Modeling with Determinantal Point Processes	2024	Junde Xu Zikai Lin Donghao Zhou Yaodong Yang Xiangyun Liao Qiong Wang Bian Wu Guangyong Chen Pheng‐Ann Heng

Common Coauthors

Coauthor	Papers Together
Zhaoqiang Zhong	1
Xiangyun Liao	1
Chaoyu Zheng	1
Pheng‐Ann Heng	1
Zikai Lin	1
Mu Yue	1
Benhong Peng	1
Xuan Zhao	1
Junde Xu	1
Yaodong Yang	1
Qiong Wang	1
Donghao Zhou	1
Guangyong Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unsupervised Learning of Spatiotemporally Coherent Metrics	2015	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun	1
+	The coincidence approach to stochastic point processes	1975	Odile Macchi	1
+	Infectious Diseases of Humans: Dynamics and Control	1992	Joel E. Cohen	1
+	An Exact Algorithm for Maximum Entropy Sampling	1995	Chun-Wa Ko Jon Lee Maurice Queyranne	1
+ 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	1
+ PDF Chat	Assessing the role of basic control measures, antivirals and vaccine in curtailing pandemic influenza: scenarios for the US, UK and the Netherlands	2006	Miriam Nuño Gerardo Chowell Abba B. Gumel	1
+ PDF Chat	Determinantal Point Processes for Machine Learning	2012	Alex Kulesza	1
+	Near-Optimal MAP Inference for Determinantal Point Processes	2012	Jennifer Gillenwater Alex Kulesza Ben Taskar	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	1
+ PDF Chat	Self-Supervised Video Representation Learning with Odd-One-Out Networks	2017	Basura Fernando Hakan Bilen Efstratios Gavves Stephen Jay Gould	1
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	1
+ PDF Chat	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Reproduction numbers of infectious disease models	2017	P. van den Driessche	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+	A stochastic SICA epidemic model for HIV transmission	2018	Jasmina Djordjević Cristiana J. Silva Delfim F. M. Torres	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	A determinantal point process for column subset selection	2018	Ayoub Belhadji R. Bardenet Pierre Chainais	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity	2017	Laming Chen Guoxin Zhang Hanning Zhou	1
+	Microsoft COCO: Common Objects in Context	2014	Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Transitive Invariance for Self-Supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta	1
+ PDF Chat	Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning	2019	Chen Wei Lingxi Xie Xutong Ren Yingda Xia Chi Su Jiaying Liu Qi Tian Alan Yuille	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+	Mathematical Models in Epidemiology	2019	Fred Brauer Carlos Castillo‐Chávez Zhilan Feng	1
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	1
+	Determinantal Point Processes for Coresets	2018	Nicolas Tremblay Simon Barthelmé Pierre‐Olivier Amblard	1
+ PDF Chat	Early dynamics of transmission and control of COVID-19: a mathematical modelling study	2020	Adam J. Kucharski Timothy Russell Charlie Diamond Yang Liu John Edmunds Sebastian Funk Rosalind M. Eggo Fiona Sun Mark Jit James D. Munday	1
+ PDF Chat	The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application	2020	Stephen A. Lauer Kyra H. Grantz Qifang Bi Forrest K. Jones Qulu Zheng Hannah R. Meredith Andrew S. Azman Nicholas G Reich Justin Lessler	1
+	Transmission dynamics of the COVID‐19 outbreak and effectiveness of government interventions: A data‐driven analysis	2020	Yaqing Fang Yiting Nie Marshare Penny	1
+	Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan	2020	Faïçal Ndaïrou Iván Area Juan J. Nieto Delfim F. M. Torres	1
+	Lockdown, one, two, none, or smart. Modeling containing covid-19 infection. A conceptual model	2020	Danny Ibarra Vega	1
+ PDF Chat	Study of transmission dynamics of novel COVID-19 by using mathematical model	2020	Rahim Ud Din Kamal Shah Imtiaz Ahmad Thabet Abdeljawad	1
+	What Makes for Good Views for Contrastive Learning?	2020	Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola	1
+ PDF Chat	Determinantal Point Processes for Image Processing	2021	Claire Launay Agnès Desolneux Bruno Galerne	1
+ PDF Chat	A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model	2020	José M. Carcione Juan E. Santos C. Bagaini Jing Ba	1
+	A hybrid multi-scale model of COVID-19 transmission dynamics to assess the potential of non-pharmaceutical interventions	2020	Anass Bouchnita Aissam Jebrane	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	1
+ PDF Chat	Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study	2020	Hamada S. Badr Hongru Du Maximilian Marshall Ensheng Dong Marietta M. Squire Lauren Gardner	1
+ PDF Chat	Inference and prediction of malaria transmission dynamics using time series data	2020	Benyun Shi Shan Lin Qi Tan Jie Cao Xiaohong Zhou Shang Xia Xiao‐Nong Zhou Jiming Liu	1
+	Spatiotemporal transmission dynamics of the COVID-19 pandemic and its impact on critical healthcare capacity	2020	Diego F. Cuadros Yanyu Xiao Zindoga Mukandavire Esteban Correa-Agudelo Andrés Hernández Hana Kim Neil J. MacKinnon	1
+	Transmission dynamics and control methodology of COVID-19: A modeling study	2020	Hongjun Zhu Yan Li Jin Xuelian Jiangping Huang Xin Liu Ying Qian Jindong Tan	1