Xiaotong Shen

According to our database, Xiaotong Shen authored at least 75 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Novel Uncertainty Quantification Through Perturbation-Assisted Sample Synthesis.

Yifei Liu, Rex Shen, Xiaotong Shen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A hierarchical ensemble causal structure learning approach for wafer manufacturing.

Yu Yang, Sthitie Bom, Xiaotong Shen

J. Intell. Manuf., August, 2024

Significance Tests of Feature Relevance for a Black-Box Learner.

Ben Dai, Xiaotong Shen, Wei Pan

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Underwater image classification based on image enhancement and information quality evaluation.

Shuai Xiao, Xiaotong Shen, Zhuo Zhang, Jiabao Wen, Meng Xi, Jiachen Yang

Displays, 2024

Enhancing Accuracy in Generative Models via Knowledge Transfer.

Xinyu Tian, Xiaotong Shen

CoRR, 2024

Inference of nonlinear causal effects with application to TWAS with GWAS summary data.

Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen

Proceedings of the Causal Learning and Reasoning, 2024

2023

Inference for a Large Directed Acyclic Graph with Unspecified Interventions.

Chunlin Li, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2023

Boosting Data Analytics With Synthetic Volume Expansion.

Xiaotong Shen, Yifei Liu, Rex Shen

CoRR, 2023

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification.

Yifei Liu, Rex Shen, Xiaotong Shen

CoRR, 2023

Boosting Summarization with Normalizing Flows and Aggressive Training.

Yu Yang, Xiaotong Shen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Intelligent Classification of Multimedia Images Based on Class Information Mining.

Shuai Xiao, Xiaotong Shen, Guipeng Lan, Jiachen Yang, Jiabao Wen, Yong Zhu

Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2022

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation.

Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan

CoRR, 2022

2021

Distribution-Invariant Differential Privacy.

Xuan Bi, Xiaotong Shen

CoRR, 2021

Two-level monotonic multistage recommender systems.

Ben Dai, Xiaotong Shen, Wei Pan

CoRR, 2021

Significance tests of feature relevance for a blackbox learner.

Ben Dai, Xiaotong Shen, Wei Pan

CoRR, 2021

2020

Multilabel Classification With Multivariate Time Series Predictors.

Yuezhang Che, Yunzhang Zhu, Xiaotong Shen

IEEE Trans. Signal Process., 2020

A Regularization-Based Adaptive Test for High-Dimensional GLMs.

Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2020

Vehicle to Infrastructure VLC Channel Models.

Xiaotong Shen, Harald Haas

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

Smooth neighborhood recommender systems.

Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu

J. Mach. Learn. Res., 2019

A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data.

Zhong Zhuang, Xiaotong Shen, Wei Pan

Bioinform., 2019

The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment.

Yue Wang, Xiaotong Shen, Haowen Liu, Tiantong Zhou, Sari Merilampi, Ling Zou

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

2018

Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments Using Road Context.

Shashwat Verma, You Hong Eng, Hai Xun Kong, Hans Andersen, Malika Meghjani, Wei Kang Leong, Xiaotong Shen, Chen Zhang, Marcelo H. Ang, Daniela Rus

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Conditional Compatibility Branch and Bound for Feature Cloud Matching.

Xiaotong Shen, Marcelo H. Ang, Daniela Rus

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multi-class Fleet Sizing and Mobility on Demand Service.

Malika Meghjani, Scott Drew Pendleton, Katarzyna Anna Marczuk, You Hong Eng, Xiaotong Shen, Marcelo H. Ang Jr., Daniela Rus

Proceedings of the Complex Systems Design & Management Asia, 2018

2017

A General Framework for Multi-vehicle Cooperative Localization Using Pose Graph.

Xiaotong Shen, Hans Andersen, Wei Kang Leong, Hai Xun Kong, Marcelo H. Ang Jr., Daniela Rus

CoRR, 2017

Obstacle-guided informed planning towards robot navigation in cluttered environments.

Zehui Meng, Hailong Qin, Hao Sun, Xiaotong Shen, Marcelo H. Ang

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

A hybrid approach of candidate region extraction for robust traffic light recognition.

Xiaotong Shen, Hans Andersen, Marcelo H. Ang, Daniela Rus

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

Nonlinear joint latent variable models and integrative tumor subtype discovery.

Binghui Liu, Xiaotong Shen, Wei Pan

Stat. Anal. Data Min., 2016

A New Algorithm and Theory for Penalized Regression-based Clustering.

Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2016

Detection and state estimation of moving objects on a moving base for indoor navigation.

Hao Sun, Zehui Meng, Xiaotong Shen, Marcelo H. Ang

Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

Multi-class autonomous vehicles for mobility-on-demand service.

Scott Drew Pendleton, Hans Andersen, Xiaotong Shen, You Hong Eng, Chen Zhang, Hai Xun Kong, Wei Kang Leong, Marcelo H. Ang, Daniela Rus

Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

System integration: Application towards autonomous navigation in cluttered environments.

Zehui Meng, Hao Sun, Xiaotong Shen, Ziyue Chen, Marcelo H. Ang

Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.

Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Fast Joint Compatibility Branch and Bound for feature cloud matching.

Xiaotong Shen, Emilio Frazzoli, Daniela Rus, Marcelo H. Ang

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation.

Seong-Woo Kim, Baoxing Qin, Zhuang Jie Chong, Xiaotong Shen, Wei Liu, Marcelo H. Ang, Emilio Frazzoli, Daniela Rus

IEEE Trans. Intell. Transp. Syst., 2015

Fused Multiple Graphical Lasso.

Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye

SIAM J. Optim., 2015

Simultaneous pursuit of sparseness and rank structures for matrix decomposition.

Qi Yan, Jieping Ye, Xiaotong Shen

J. Mach. Learn. Res., 2015

Efficient nonconvex sparse group feature selection via continuous and discrete optimization.

Shuo Xiang, Xiaotong Shen, Jieping Ye

Artif. Intell., 2015

Efficient L-shape fitting of laser scanner data for vehicle pose estimation.

Xiaotong Shen, Scott Pendleton, Marcelo H. Ang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Autonomous vehicle planning system design under perception limitation in pedestrian environment.

Wei Liu, Zhiyong Weng, Zhuang Jie Chong, Xiaotong Shen, Scott Pendleton, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Multi-vehicle motion coordination using V2V communication.

Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, Wei Liu, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Autonomous golf cars for public trial of mobility-on-demand service.

Scott Pendleton, Tawit Uthaicharoenpong, Zhuang Jie Chong, James Guo Ming Fu, Baoxing Qin, Wei Liu, Xiaotong Shen, Zhiyong Weng, Cody Kamin, Mark Adam Ang, Lucas Tetsuya Kuwae, Katarzyna Anna Marczuk, Hans Andersen, Mengdan Feng, Gregory Butron, Zhuang Zhi Chong, Marcelo H. Ang, Emilio Frazzoli, Daniela Rus

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Bounds for Kalman filtering with intermittent observations.

Xiaotong Shen, Daniela Rus, Marcelo H. Ang

Proceedings of the 14th European Control Conference, 2015

2014

Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data.

Yiwei Zhang, Zhiyuan Xu, Xiaotong Shen, Wei Pan

NeuroImage, 2014

Comparison of statistical tests for group differences in brain functional networks.

Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Xiaotong Shen, Wei Pan

NeuroImage, 2014

Spatio-temporal motion features for laser-based moving objects detection and tracking.

Xiaotong Shen, Seong-Woo Kim, Marcelo H. Ang Jr.

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Teleoperation of On-Road Vehicles via Immersive Telepresence Using Off-the-shelf Components.

Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, James Guo Ming Fu, Baoxing Qin, Emilio Frazzoli, Marcelo H. Ang Jr.

Proceedings of the Intelligent Autonomous Systems 13, 2014

Scalable Cooperative Localization with Minimal Sensor Configuration.

Xiaotong Shen, Scott Pendleton, Marcelo H. Ang Jr.

Proceedings of the Distributed Autonomous Robotic Systems, 2014

2013

Introduction.

David Banks, Xiaotong Shen

Stat. Anal. Data Min., 2013

Penalized regression and risk prediction in genome-wide association studies.

Erin Austin, Wei Pan, Xiaotong Shen

Stat. Anal. Data Min., 2013

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty.

Wei Pan, Xiaotong Shen, Binghui Liu

J. Mach. Learn. Res., 2013

Motion planning using cooperative perception on urban road.

Wei Liu, Seong-Woo Kim, Zhuang Jie Chong, Xiaotong Shen, Marcelo H. Ang

Proceedings of the IEEE 6th International Conference on Robotics, 2013

A general framework for road marking detection and analysis.

Baoxing Qin, Wei Liu, Xiaotong Shen, Zhuang Jie Chong, Tirthankar Bandyopadhyay, Marcelo H. Ang Jr., Emilio Frazzoli, Daniela Rus

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results.

Seong-Woo Kim, Zhuang Jie Chong, Baoxing Qin, Xiaotong Shen, Zhuoqi Cheng, Wei Liu, Marcelo H. Ang

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2012

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs.

Yiping Yuan, Xiaotong Shen, Wei Pan

Stat. Anal. Data Min., 2012

Generalized degrees of freedom and adaptive model selection in linear mixed-effects models.

Bo Zhang, Xiaotong Shen, Sunni L. Mumford

Comput. Stat. Data Anal., 2012

Fused Multiple Graphical Lasso

Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye

CoRR, 2012

Efficient Sparse Group Feature Selection via Nonconvex Optimization

Shuo Xiang, Xiaotong Shen, Jieping Ye

CoRR, 2012

Feature grouping and selection over an undirected graph.

Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Optimal exact least squares rank minimization.

Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership.

Huixin Wang, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2011

2010

Model selection procedure for high-dimensional data.

Yongli Zhang, Xiaotong Shen

Stat. Anal. Data Min., 2010

Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data.

Benhuai Xie, Wei Pan, Xiaotong Shen

Bioinform., 2010

2009

On Efficient Large Margin Semisupervised Learning: Method and Theory.

Junhui Wang, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2009

Network-based support vector machine for classification of microarray samples.

Yanni Zhu, Xiaotong Shen, Wei Pan

BMC Bioinform., 2009

2008

Applying the multi-category learning to multiple video object extraction.

Yi Liu, Yuan F. Zheng, Xiaotong Shen

Pattern Recognit., 2008

2007

Large Margin Semi-supervised Learning.

Junhui Wang, Xiaotong Shen

J. Mach. Learn. Res., 2007

Penalized Model-Based Clustering with Application to Variable Selection.

Wei Pan, Xiaotong Shen

J. Mach. Learn. Res., 2007

Preface.

Marina Meila, Xiaotong Shen

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006

Semi-supervised learning via penalized mixture model with application to microarray sample classification.

Wei Pan, Xiaotong Shen, Aixiang Jiang, Robert P. Hebbel

Bioinform., 2006

On L_1-Norm Multi-class Support Vector Machines.

Lifeng Wang, Xiaotong Shen, Yuan F. Zheng

Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006

Multiple Video Object Extraction Using Multi-Category ψ-Learning.

Yi Liu, Yuan F. Zheng, Xiaotong Shen

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Computational Developments of <i>ψ</i>-learning.

Sijin Liu, Xiaotong Shen, Wing Hung Wong

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004

Adaptive Model Selection and Assessment for Exponential Family Distributions.

Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye

Technometrics, 2004

2001

Improving principal component analysis using Bayesian estimation.

Mohamed N. Nounou, Bhavik R. Bakshi, Prem K. Goel, Xiaotong Shen

Proceedings of the American Control Conference, 2001