Xiaoyi Wang

Follow

Generating author description...

All published works
Action Title Year Authors
+ PDF Chat Stochastic Kinematic Optimal Control on SO(3) 2024 Xi Wang
Xiaoyi Wang
Victor Solo
+ The M-Step Competition Number of Trees and Their Digraphs Construction 2024 Xiaoyi Wang
Haixing Zhao
Bo Deng
+ PDF Chat Global one-sample tests for high-dimensional covariance matrices 2021 Xiaoyi Wang
Baisen Liu
Ningzhong Shi
Guo‐Liang Tian
Shurong Zheng
+ PDF Chat GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking 2020 Zhen Li
Sunzeng Cai
Xiaoyi Wang
Zhe Liu
Nian Xue
+ PDF Chat Argus: Interactive a priori Power Analysis 2020 Xiaoyi Wang
Alexander Eiselmayer
Wendy E. Mackay
Kasper Hornbæk
Chat Wacharamanotham
+ DP-Net: Dynamic Programming Guided Deep Neural Network Compression 2020 Dingcheng Yang
Wenjian Yu
Ao Zhou
Haoyuan Mu
Gary Yao
Xiaoyi Wang
+ Argus: Interactive a priori Power Analysis 2020 Xiaoyi Wang
Alexander Eiselmayer
Wendy E. Mackay
Kasper Hornbæk
Chat Wacharamanotham
+ GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking 2020 Zhen Li
Sunzeng Cai
Xiaoyi Wang
Zhe Liu
Nian Xue
+ Tests for high-dimensional covariance matrices 2019 Jing Chen
Xiaoyi Wang
Shurong Zheng
Baisen Liu
Ningzhong Shi
+ Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree 2019 Zhiyao Zhao
Peng Yao
Xiaoyi Wang
Jiping Xu
Li Wang
Jiabin Yu
+ Research on multi-level water bloom decision-making method based on information entropy of vague set 2015 Qingwei Zhu
Xiaoyi Wang
Li Wang
Jiping Xu
Yuting Bai
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Understanding statistical power in the context of applied research 2004 Thom Baguley
2
+ Central limit theorems for classical likelihood ratio tests for high-dimensional normal distributions 2013 Tiefeng Jiang
Fan Yang
2
+ Using Monte Carlo simulations to determine power and sample size for planned missing designs 2014 Alexander M. Schoemann
Patrick J. Miller
Sunthud Pornprasertmanit
Wei Wu
2
+ Monte Carlo based statistical power analysis for mediation models: methods and software 2013 Zhiyong Zhang
2
+ PDF Chat Likelihood ratio tests for covariance matrices of high-dimensional normal distributions 2012 Dandan Jiang
Tiefeng Jiang
Fan Yang
2
+ Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty 2017 Jessica Hullman
Matthew Kay
Yea‐Seul Kim
Samana Shrestha
2
+ PDF Chat Color Crafting: Automating the Construction of Designer Quality Color Ramps 2019 Stephen Smart
Keke Wu
Danielle Albers Szafir
2
+ NexP: A Beginner Friendly Toolkit for Designing and Conducting Controlled Experiments 2017 Xiaojun Meng
Pin Sym Foong
Simon T. Perrault
Shengdong Zhao
2
+ Tests for covariance matrices in high dimension with less sample size 2014 Muni S. Srivastava
Hirokazu Yanagihara
Tatsuya Kubokawa
2
+ PDF Chat Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size 2002 Olivier Ledoit
Michael Wolf
2
+ PDF Chat Simultaneous Inference in General Parametric Models 2008 Torsten Hothorn
Frank Bretz
Peter H. Westfall
2
+ Statsplorer 2015 Chat Wacharamanotham
Krishna Subramanian
Sarah Theres Völkel
Jan Borchers
2
+ Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. 1994 Lana M. Trick
Zenon W. Pylyshyn
2
+ PDF Chat Corrections to LRT on large-dimensional covariance matrix by RMT 2009 Zhidong Bai
Dandan Jiang
Jianfeng Yao
Shurong Zheng
2
+ Statistical power analysis: a simple and general model for traditional and modern hypothesis tests 1998 Kevin R. Murphy
Brett Myors
2
+ PDF Chat An Introduction to Multivariate Statistical Analysis 2004 2
+ PDF Chat On Some Test Criteria for Covariance Matrix 1973 Hisao Nagao
2
+ Some Practical Guidelines for Effective Sample Size Determination 2001 Russell V. Lenth
2
+ The Analysis of Variance 1960 Henry Scheffe
2
+ Design Sensitivity: Statistical Power for Experimental Research. 1991 Scott R. Eliason
Mark W. Lipsey
2
+ Power and Sample Size via MS/PC-DOS Computers 1989 Richard Goldstein
2
+ Two sample tests for high-dimensional covariance matrices 2012 Jun Li
Song Xi Chen
1
+ PDF Chat On the sphericity test with large-dimensional observations 2013 Qinwen Wang
Jianfeng Yao
1
+ Optimal hypothesis testing for high dimensional covariance matrices 2013 Tommaso Cai
Zongming Ma
1
+ Compressing Neural Networks with the Hashing Trick 2015 Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
1
+ PDF Chat Simple online and realtime tracking 2016 Alex Bewley
Zongyuan Ge
Lionel Ott
Fábio Ramos
Ben Upcroft
1
+ More powerful tests for sparse high-dimensional covariances matrices 2016 Liuhua Peng
Song Xi Chen
Wen Zhou
1
+ Robust Procedures for Testing Equality of Covariance Matrices 1992 Peter C. O’Brien
1
+ PDF Chat Comparing Large Covariance Matrices under Weak Conditions on the Dependence Structure and its Application to Gene Clustering 2016 Jinyuan Chang
Wen Zhou
Wen-Xin Zhou
Lan Wang
1
+ PDF Chat POI: Multiple Object Tracking with High Performance Detection and Appearance Feature 2016 Fengwei Yu
Wenbo Li
Quanquan Li
Yu Liu
Xiaohua Shi
Junjie Yan
1
+ Ultimate tensorization: compressing convolutional and FC layers alike. 2016 Timur Garipov
Dmitry Podoprikhin
Alexander Novikov
Dmitry Vetrov
1
+ PDF Chat Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies 2017 Amir Sadeghian
Alexandre Alahi
Silvio Savarese
1
+ PDF Chat Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-identification 2017 Weihua Chen
Xiaotang Chen
Jianguo Zhang
Kaiqi Huang
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
+ PDF Chat A study of two high-dimensional likelihood ratio tests under alternative hypotheses 2017 Huijun Chen
Tiefeng Jiang
1
+ Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods 2018 Zhengxin Zhang
Xiaosheng Si
Changhua Hu
Yaguo Lei
1
+ Testing identity of high-dimensional covariance matrix 2018 Hao Wang
Baisen Liu
Ningzhong Shi
Shurong Zheng
1
+ PDF Chat Online Multi-Object Tracking with Dual Matching Attention Networks 2018 Ji Zhu
Hua Yang
Nian Liu
Minyoung Kim
Wenjun Zhang
Ming–Hsuan Yang
1
+ Rethinking the Value of Network Pruning 2018 Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
1
+ Fluctuations for differences of linear eigenvalue statistics for sample covariance matrices 2019 Giorgio Cipolloni
László Erdős
1
+ Simple Online and Realtime Tracking with a Deep Association Metric 2017 Nicolai Wojke
Alex Bewley
Dietrich Paulus
1
+ PDF Chat Unveiling the Power of Deep Tracking 2018 Goutam Bhat
Joakim Johnander
Martin Danelljan
Fahad Shahbaz Khan
Michael Felsberg
1
+ Adversarial Machine Learning at Scale 2016 Alexey Kurakin
Ian Goodfellow
Samy Bengio
1
+ PDF Chat Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism 2017 Qi Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
Bin Liu
Nenghai Yu
1
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
1
+ PDF Chat Deep Network Flow for Multi-object Tracking 2017 Samuel Schulter
Paul Vernaza
Wongun Choi
Manmohan Chandraker
1
+ PDF Chat On Gaussian comparison inequality and its application to spectral analysis of large random matrices 2018 Fang Han
Sheng Xu
Wen‐Xin Zhou
1
+ Wide Residual Networks 2016 Sergey Zagoruyko
Nikos Komodakis
1
+ PDF Chat Hypothesis testing on linear structures of high-dimensional covariance matrix 2019 Shurong Zheng
Chen Zhao
Hengjian Cui
Runze Li
1
+ Hypothesis testing for the identity of high-dimensional covariance matrices 2020 Manling Qian
Tao Li
Erqian Li
Maozai Tian
1