Wenjie Hu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Improve Sensitivity Analysis Synthesizing Randomized Clinical Trials With Limited Overlap	2024	Kuan Jiang Wenjie Hu Shu Yang Xinxing Lai Xiao‐Hua Zhou
+ PDF Chat	Exponential attractors for a nonlocal delayed reaction-diffusion equation on an unbounded domain	2024	Wenjie Hu Tomás Caraballo
+ PDF Chat	Exponential attractors for a nonlocal delayed reaction-diffusion equation on an unbounded domain	2024	Wenjie Hu Tomás Caraballo
+ PDF Chat	Hausdorff dimension of random attractors for a stochastic delayed parabolic equation in Banach spaces	2024	Wenjie Hu TomásCaraballo Yueliang Duan
+	Random attractors for a stochastic nonlocal delayed reaction–diffusion equation on a semi-infinite interval	2023	Wenjie Hu Quanxin Zhu Tomás Caraballo
+	Topological dimensions of random attractors for stochastic partial differential equations with delay	2023	Wenjie Hu Tomás Caraballo
+	Topological dimensions of global attractors for a delayed reaction-diffusion equation on an unbounded domain	2023	Wenjie Hu Tomás Caraballo
+	Topological dimensions of attractors for partial functional differential equations in Banach spaces	2023	Wenjie Hu Tomás Caraballo
+	Lyapunov exponents and invariant manifolds for stochastic linear partial functional differential equations	2023	Wenjie Hu Tomás Caraballo
+	Exponential attractors with explicit fractal dimensions for retarded functional differential equations	2023	Wenjie Hu Tomás Caraballo
+ PDF Chat	Hausdorff and Fractal Dimensions of Attractors for Functional Differential Equations in Banach Spaces	2023	Wenjie Hu Toma ́s Caraballo
+	Existence and dimensions of global attractors for a delayed reaction-diffusion equation on an unbounded domain	2023	Wenjie Hu Tomás Caraballo Alain Miranville
+ PDF Chat	Time-Series Event Prediction with Evolutionary State Graph	2021	Wenjie Hu Yang Yang Ziqiang Cheng Carl Yang Xiang Ren
+ PDF Chat	Understanding Electricity-Theft Behavior via Multi-Source Data	2020	Wenjie Hu Yang Yang Jianbo Wang Xuanwen Huang Ziqiang Cheng
+ PDF Chat	Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets	2020	Ziqiang Cheng Yang Yang Wei Wang Wenjie Hu Yueting Zhuang Guojie Song
+	Modeling Combinatorial Evolution in Time Series Prediction.	2019	Wenjie Hu Yang Yang Zilong You Zongtao Liu Xiang Ren
+	Modeling Evolutionary State Graph for Time Series Prediction	2019	Wenjie Hu Yang Yang Ziqiang Cheng Carl Yang Xiang Ren
+	Capturing Evolution Genes for Time Series Data	2019	Wenjie Hu Yang Yang Wu Liang Zongtao Liu Zhanlin Sun Bingshen Yao
+	Time-Series Event Prediction with Evolutionary State Graph	2019	Wenjie Hu Yang Yang Ziqiang Cheng Carl Yang Xiang Ren

Common Coauthors

Coauthor	Papers Together
Tomás Caraballo	9
Ziqiang Cheng	5
Xiang Ren	3
Carl Yang	3
Yang Yang	2
Zongtao Liu	2
Yang Yang	2
Xinxing Lai	1
Shu Yang	1
Xiang Ren	1
Yueliang Duan	1
Zilong You	1
Guojie Song	1
TomásCaraballo	1
Wei Wang	1
Yang Yang	1
Yang Yang	1
Yang Yang	1
Quanxin Zhu	1
Wu Liang	1
Toma ́s Caraballo	1
Xiao‐Hua Zhou	1
Bingshen Yao	1
Alain Miranville	1
Yueting Zhuang	1
Kuan Jiang	1
Zhanlin Sun	1
Jianbo Wang	1
Xuanwen Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A time series forest for classification and feature extraction	2013	Houtao Deng George C. Runger Eugene Tuv Martyanov Vladimir	5
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	5
+	Recurrent Marked Temporal Point Processes	2016	Nan Du Hanjun Dai Rakshit Trivedi Utkarsh Upadhyay Manuel Gomez-Rodriguez Le Song	4
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	3
+ PDF Chat	Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis	2018	Jingyuan Wang Ze Wang Jianfeng Li Junjie Wu	3
+	Modeling Individual Cyclic Variation in Human Behavior	2018	Emma Pierson Tim Althoff Jure Leskovec	3
+	Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	2018	Haowen Xu Yang Feng Jie Chen Zhaogang Wang Honglin Qiao Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu Zhihan Li	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Theory and Applications of Partial Functional Differential Equations	1996	Jian Wu	2
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	2
+	Adversarial Time-to-Event Modeling	2018	Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li Courtney Page Benjamin A. Goldstein Lawrence Carin Ricardo Henao	2
+ PDF Chat	Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting	2019	Zhiyong Cui Kristian Henrickson Ruimin Ke Yinhai Wang	2
+ PDF Chat	Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data	2017	David Hallac Sagar Vare Stephen Boyd Jure Leskovec	2
+	A reaction–diffusion model for a single species with age structure. I Travelling wavefronts on unbounded domains	2001	Joseph W.-H. So Jian Wu Xingfu Zou	2
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	2
+	Action Schema Networks: Generalised Policies with Deep Learning	2017	Sam Toyer Felipe Trevizan Sylvie Thiébaux Lexing Xie	2
+	Pullback exponential attractors for nonautonomous equations Part I: Semilinear parabolic problems	2011	Radosław Czaja Messoud Efendiev	1
+ PDF Chat	Speech recognition with deep recurrent neural networks	2013	Alex Graves Abdelrahman Mohamed Geoffrey E. Hinton	1
+	Dirichlet Problem of a Delayed Reaction–Diffusion Equation on a Semi-infinite Interval	2015	Taishan Yi Xingfu Zou	1
+	The uniform attractor of a multi-valued process generated by reaction-diffusion delay equations on an unbounded domain	2014	Yejuan Wang Peter E. Kloeden	1
+	Global dynamics of a non-local delayed differential equation in the half plane	2014	Tao Wang	1
+	Composing graphical models with neural networks for structured representations and fast inference	2016	Matthew Johnson David Duvenaud Alexander B. Wiltschko Sandeep Robert Datta Ryan P. Adams	1
+	LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection	2016	Pankaj Malhotra Anusha Ramakrishnan Gaurangi Anand Lovekesh Vig Puneet Agarwal Gautam Shroff	1
+ PDF Chat	Applied Logistic Regression	2013	David W. Hosmer Stanley Lemeshow Rodney X. Sturdivant	1
+	Global well-posedness and pullback attractors for a two-dimensional non-autonomous micropolar fluid flows with infinite delays	2017	Caidi Zhao Wenlong Sun	1
+	CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training	2017	Jianmin Bao Dong Chen Fang Wen Houqiang Li Gang Hua	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+ PDF Chat	Retrospective Higher-Order Markov Processes for User Trails	2017	Tao Wu David F. Gleich	1
+ PDF Chat	Graph embedding techniques, applications, and performance: A survey	2018	Palash Goyal Emilio Ferrara	1
+ PDF Chat	Knowledge Base Completion with Out-of-Knowledge-Base Entities: A Graph Neural Network Approach	2018	Takuo Hamaguchi Hidekazu Oiwa Masashi Shimbo Yūji Matsumoto	1
+	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions	2018	Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber	1
+	Modeling Interdependent and Periodic Real-World Action Sequences	2018	Takeshi Kurashima Tim Althoff Jure Leskovec	1
+	Global dynamics of a nonlocal delayed reaction–diffusion equation on a half plane	2018	Wenjie Hu Yueliang Duan	1
+	PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning	2018	Yunbo Wang Zhifeng Gao Mingsheng Long Jianmin Wang Philip S. Yu	1
+	Adversarial Time-to-Event Modeling	2018	Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li Courtney Page Benjamin A. Goldstein Lawrence Carin Ricardo Henao	1
+	Graph networks as learnable physics engines for inference and control	2018	Álvaro Sánchez‐González Nicolas Heess Jost Tobias Springenberg Josh Merel Martin Riedmiller Raia Hadsell Peter Battaglia	1
+	Efficient Power Theft Detection for Residential Consumers Using Mean Shift Data Mining Knowledge Discovery Process	2019	Blazakis Konstantinos Stavrakakis Georgios	1
+	Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning	2016	Yue Ning Sathappan Muthiah Huzefa Rangwala Naren Ramakrishnan	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+	Gated Feedback Recurrent Neural Networks	2015	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	1
+	Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions	2018	Sjoerd van Steenkiste Michael Chang Klaus Greff Jürgen Schmidhuber	1
+	Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach	2017	Takuo Hamaguchi Hidekazu Oiwa Masashi Shimbo Yūji Matsumoto	1
+ PDF Chat	Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition	2015	Skyler Seto Wenyu Zhang Yichen Zhou	1
+ PDF Chat	Representation Learning for Scale-Free Networks	2018	Rui Feng Yang Yang Wenjie Hu Fei Wu Yueting Zhang	1
+	Pathwise solutions and attractors for retarded SPDEs with time smooth diffusion coefficients	2014	Björn Schmalfuß María J. Garrido–Atienza Hakima Bessaih	1
+	Hierarchical Multiscale Recurrent Neural Networks	2016	Jun‐Young Chung Sungjin Ahn Yoshua Bengio	1
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Towards Principled Methods for Training Generative Adversarial Networks	2017	Martín Arjovsky Léon Bottou	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+ PDF Chat	Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets	2020	Ziqiang Cheng Yang Yang Wei Wang Wenjie Hu Yueting Zhuang Guojie Song	1