Xiaotong Shen

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 34

Top Topics

Significance Tests

Branch And Bound

Cluttered Environments

Top Venues

J. Mach. Learn. Res.

Publications

Shuai Xiao, Xiaotong Shen, Zhuo Zhang, Jiabao Wen, Meng Xi, Jiachen Yang
Underwater image classification based on image enhancement and information quality evaluation. Displays 82 (2024)
Yu Yang, Sthitie Bom, Xiaotong Shen
A hierarchical ensemble causal structure learning approach for wafer manufacturing. J. Intell. Manuf. 35 (6) (2024)
Ben Dai, Xiaotong Shen, Wei Pan
Significance Tests of Feature Relevance for a Black-Box Learner. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen
Inference of nonlinear causal effects with application to TWAS with GWAS summary data. CLeaR (2024)
Xinyu Tian, Xiaotong Shen
Enhancing Accuracy in Generative Models via Knowledge Transfer. CoRR (2024)
Shuai Xiao, Xiaotong Shen, Guipeng Lan, Jiachen Yang, Jiabao Wen, Yong Zhu
Intelligent Classification of Multimedia Images Based on Class Information Mining. AMC-SME (2023)
Xiaotong Shen, Yifei Liu, Rex Shen
Boosting Data Analytics With Synthetic Volume Expansion. CoRR (2023)
Chunlin Li, Xiaotong Shen, Wei Pan
Inference for a Large Directed Acyclic Graph with Unspecified Interventions. J. Mach. Learn. Res. 24 (2023)
Yu Yang, Xiaotong Shen
Boosting Summarization with Normalizing Flows and Aggressive Training. CoRR (2023)
Yifei Liu, Rex Shen, Xiaotong Shen
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification. CoRR (2023)
Yu Yang, Xiaotong Shen
Boosting Summarization with Normalizing Flows and Aggressive Training. EMNLP (2023)
Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation. CoRR (2022)
Xuan Bi, Xiaotong Shen
Distribution-Invariant Differential Privacy. CoRR (2021)
Ben Dai, Xiaotong Shen, Wei Pan
Two-level monotonic multistage recommender systems. CoRR (2021)
Ben Dai, Xiaotong Shen, Wei Pan
Significance tests of feature relevance for a blackbox learner. CoRR (2021)
Yuezhang Che, Yunzhang Zhu, Xiaotong Shen
Multilabel Classification With Multivariate Time Series Predictors. IEEE Trans. Signal Process. 68 (2020)
Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan
A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. 21 (2020)
Xiaotong Shen, Harald Haas
Vehicle to Infrastructure VLC Channel Models. VTC Spring (2020)
Zhong Zhuang, Xiaotong Shen, Wei Pan
A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. Bioinform. 35 (17) (2019)
Yue Wang, Xiaotong Shen, Haowen Liu, Tiantong Zhou, Sari Merilampi, Ling Zou
The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment. ICIRA (5) (2019)
Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu
Smooth neighborhood recommender systems. J. Mach. Learn. Res. 20 (2019)
Xiaotong Shen, Marcelo H. Ang, Daniela Rus
Conditional Compatibility Branch and Bound for Feature Cloud Matching. ICRA (2018)
Malika Meghjani, Scott Drew Pendleton, Katarzyna Anna Marczuk, You Hong Eng, Xiaotong Shen, Marcelo H. Ang Jr., Daniela Rus
Multi-class Fleet Sizing and Mobility on Demand Service. CSDM Asia (2018)
Shashwat Verma, You Hong Eng, Hai Xun Kong, Hans Andersen, Malika Meghjani, Wei Kang Leong, Xiaotong Shen, Chen Zhang, Marcelo H. Ang, Daniela Rus
Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments Using Road Context. ICRA (2018)
Zehui Meng, Hailong Qin, Hao Sun, Xiaotong Shen, Marcelo H. Ang
Obstacle-guided informed planning towards robot navigation in cluttered environments. ROBIO (2017)
Xiaotong Shen, Hans Andersen, Marcelo H. Ang, Daniela Rus
A hybrid approach of candidate region extraction for robust traffic light recognition. ITSC (2017)
Xiaotong Shen, Hans Andersen, Wei Kang Leong, Hai Xun Kong, Marcelo H. Ang Jr., Daniela Rus
A General Framework for Multi-vehicle Cooperative Localization Using Pose Graph. CoRR (2017)
Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan
A New Algorithm and Theory for Penalized Regression-based Clustering. J. Mach. Learn. Res. 17 (2016)
Zehui Meng, Hao Sun, Xiaotong Shen, Ziyue Chen, Marcelo H. Ang
System integration: Application towards autonomous navigation in cluttered environments. SII (2016)
Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye
Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD (2016)
Xiaotong Shen, Emilio Frazzoli, Daniela Rus, Marcelo H. Ang
Fast Joint Compatibility Branch and Bound for feature cloud matching. IROS (2016)
Binghui Liu, Xiaotong Shen, Wei Pan
Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. 9 (2) (2016)
Hao Sun, Zehui Meng, Xiaotong Shen, Marcelo H. Ang
Detection and state estimation of moving objects on a moving base for indoor navigation. SII (2016)
Scott Drew Pendleton, Hans Andersen, Xiaotong Shen, You Hong Eng, Chen Zhang, Hai Xun Kong, Wei Kang Leong, Marcelo H. Ang, Daniela Rus
Multi-class autonomous vehicles for mobility-on-demand service. SII (2016)
Seong-Woo Kim, Baoxing Qin, Zhuang Jie Chong, Xiaotong Shen, Wei Liu, Marcelo H. Ang, Emilio Frazzoli, Daniela Rus
Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation. IEEE Trans. Intell. Transp. Syst. 16 (2) (2015)
Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
Fused Multiple Graphical Lasso. SIAM J. Optim. 25 (2) (2015)
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
Autonomous golf cars for public trial of mobility-on-demand service. IROS (2015)
Wei Liu, Zhiyong Weng, Zhuang Jie Chong, Xiaotong Shen, Scott Pendleton, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang
Autonomous vehicle planning system design under perception limitation in pedestrian environment. RAM/CIS (2015)
Xiaotong Shen, Scott Pendleton, Marcelo H. Ang
Efficient L-shape fitting of laser scanner data for vehicle pose estimation. RAM/CIS (2015)
Xiaotong Shen, Daniela Rus, Marcelo H. Ang
Bounds for Kalman filtering with intermittent observations. ECC (2015)
Qi Yan, Jieping Ye, Xiaotong Shen
Simultaneous pursuit of sparseness and rank structures for matrix decomposition. J. Mach. Learn. Res. 16 (2015)
Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, Wei Liu, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang
Multi-vehicle motion coordination using V2V communication. Intelligent Vehicles Symposium (2015)
Shuo Xiang, Xiaotong Shen, Jieping Ye
Efficient nonconvex sparse group feature selection via continuous and discrete optimization. Artif. Intell. 224 (2015)
Xiaotong Shen, Seong-Woo Kim, Marcelo H. Ang Jr.
Spatio-temporal motion features for laser-based moving objects detection and tracking. IROS (2014)
Xiaotong Shen, Scott Pendleton, Marcelo H. Ang Jr.
Scalable Cooperative Localization with Minimal Sensor Configuration. DARS (2014)
Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, James Guo Ming Fu, Baoxing Qin, Emilio Frazzoli, Marcelo H. Ang Jr.
Teleoperation of On-Road Vehicles via Immersive Telepresence Using Off-the-shelf Components. IAS (2014)
Yiwei Zhang, Zhiyuan Xu, Xiaotong Shen, Wei Pan
Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data. NeuroImage 96 (2014)
Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Xiaotong Shen, Wei Pan
Comparison of statistical tests for group differences in brain functional networks. NeuroImage 101 (2014)
Wei Liu, Seong-Woo Kim, Zhuang Jie Chong, Xiaotong Shen, Marcelo H. Ang
Motion planning using cooperative perception on urban road. RAM (2013)
Wei Pan, Xiaotong Shen, Binghui Liu
Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. J. Mach. Learn. Res. 14 (1) (2013)
Baoxing Qin, Wei Liu, Xiaotong Shen, Zhuang Jie Chong, Tirthankar Bandyopadhyay, Marcelo H. Ang Jr., Emilio Frazzoli, Daniela Rus
A general framework for road marking detection and analysis. ITSC (2013)
David Banks, Xiaotong Shen
Introduction. Stat. Anal. Data Min. 6 (6) (2013)
Seong-Woo Kim, Zhuang Jie Chong, Baoxing Qin, Xiaotong Shen, Zhuoqi Cheng, Wei Liu, Marcelo H. Ang
Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results. IROS (2013)
Erin Austin, Wei Pan, Xiaotong Shen
Penalized regression and risk prediction in genome-wide association studies. Stat. Anal. Data Min. 6 (4) (2013)
Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye
Fused Multiple Graphical Lasso CoRR (2012)
Bo Zhang, Xiaotong Shen, Sunni L. Mumford
Generalized degrees of freedom and adaptive model selection in linear mixed-effects models. Comput. Stat. Data Anal. 56 (3) (2012)
Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye
Optimal exact least squares rank minimization. KDD (2012)
Shuo Xiang, Xiaotong Shen, Jieping Ye
Efficient Sparse Group Feature Selection via Nonconvex Optimization CoRR (2012)
Yiping Yuan, Xiaotong Shen, Wei Pan
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. Stat. Anal. Data Min. 5 (6) (2012)
Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye
Feature grouping and selection over an undirected graph. KDD (2012)
Huixin Wang, Xiaotong Shen, Wei Pan
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership. J. Mach. Learn. Res. 12 (2011)
Benhuai Xie, Wei Pan, Xiaotong Shen
Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. Bioinform. 26 (4) (2010)
Yongli Zhang, Xiaotong Shen
Model selection procedure for high-dimensional data. Stat. Anal. Data Min. 3 (5) (2010)
Yanni Zhu, Xiaotong Shen, Wei Pan
Network-based support vector machine for classification of microarray samples. BMC Bioinform. 10 (S-1) (2009)
Junhui Wang, Xiaotong Shen, Wei Pan
On Efficient Large Margin Semisupervised Learning: Method and Theory. J. Mach. Learn. Res. 10 (2009)
Yi Liu, Yuan F. Zheng, Xiaotong Shen
Applying the multi-category learning to multiple video object extraction. Pattern Recognit. 41 (9) (2008)
Wei Pan, Xiaotong Shen
Penalized Model-Based Clustering with Application to Variable Selection. J. Mach. Learn. Res. 8 (2007)
Marina Meila, Xiaotong Shen
Preface. AISTATS (2007)
Junhui Wang, Xiaotong Shen
Large Margin Semi-supervised Learning. J. Mach. Learn. Res. 8 (2007)
Yi Liu, Yuan F. Zheng, Xiaotong Shen
Multiple Video Object Extraction Using Multi-Category ψ-Learning. ICASSP (5) (2006)
Lifeng Wang, Xiaotong Shen, Yuan F. Zheng
On L_1-Norm Multi-class Support Vector Machines. ICMLA (2006)
Wei Pan, Xiaotong Shen, Aixiang Jiang, Robert P. Hebbel
Semi-supervised learning via penalized mixture model with application to microarray sample classification. Bioinform. 22 (19) (2006)
Sijin Liu, Xiaotong Shen, Wing Hung Wong
-learning. SDM (2005)
Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye
Adaptive Model Selection and Assessment for Exponential Family Distributions. Technometrics 46 (3) (2004)
Mohamed N. Nounou, Bhavik R. Bakshi, Prem K. Goel, Xiaotong Shen
Improving principal component analysis using Bayesian estimation. ACC (2001)