Improving principal component analysis using Bayesian estimation. - Mohamed N. Nounou; Bhavik R. Bakshi; Prem K. Goel; Xiaotong Shen (ACC, 2001)

Adaptive Model Selection and Assessment for Exponential Family Distributions. - Xiaotong Shen; Hsin-Cheng Huang; Jimmy Ye (Technometrics, 2004)

Computational Developments of ψ-learning. - Sijin Liu; Xiaotong Shen; Wing Hung Wong (SDM, 2005)

Multiple Video Object Extraction Using Multi-Category ψ-Learning. - Yi Liu; Yuan F. Zheng; Xiaotong Shen (ICASSP (5), 2006)

On L_1-Norm Multi-class Support Vector Machines. - Lifeng Wang; Xiaotong Shen; Yuan F. Zheng (ICMLA, 2006)

Semi-supervised learning via penalized mixture model with application to microarray sample classification. - Wei Pan 011; Xiaotong Shen; Aixiang Jiang; Robert P. Hebbel (Bioinform., 2006)

Preface. - Marina Meila; Xiaotong Shen (AISTATS, 2007)

Penalized Model-Based Clustering with Application to Variable Selection. - Wei Pan; Xiaotong Shen (J. Mach. Learn. Res., 2007)

Large Margin Semi-supervised Learning. - Junhui Wang; Xiaotong Shen (J. Mach. Learn. Res., 2007)

Applying the multi-category learning to multiple video object extraction. - Yi Liu; Yuan F. Zheng; Xiaotong Shen (Pattern Recognit., 2008)

Network-based support vector machine for classification of microarray samples. - Yanni Zhu; Xiaotong Shen; Wei Pan 011 (BMC Bioinform., 2009)

On Efficient Large Margin Semisupervised Learning: Method and Theory. - Junhui Wang; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2009)

Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. - Benhuai Xie; Wei Pan 011; Xiaotong Shen (Bioinform., 2010)

Model selection procedure for high-dimensional data. - Yongli Zhang; Xiaotong Shen (Stat. Anal. Data Min., 2010)

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership. - Huixin Wang; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2011)

Optimal exact least squares rank minimization. - Shuo Xiang; Yunzhang Zhu; Xiaotong Shen; Jieping Ye (KDD, 2012)

Feature grouping and selection over an undirected graph. - Sen Yang 004; Lei Yuan 001; Ying-Cheng Lai; Xiaotong Shen; Peter Wonka; Jieping Ye (KDD, 2012)

Efficient Sparse Group Feature Selection via Nonconvex Optimization - Shuo Xiang; Xiaotong Shen; Jieping Ye (CoRR, 2012)

Fused Multiple Graphical Lasso - Sen Yang 004; Zhisong Pan; Xiaotong Shen; Peter Wonka; Jieping Ye (CoRR, 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)

Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. - Yiping Yuan; Xiaotong Shen; Wei Pan 011 (Stat. Anal. Data Min., 2012)

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 024; Marcelo H. Ang (IROS, 2013)

A general framework for road marking detection and analysis. - Baoxing Qin; Wei Liu 024; Xiaotong Shen; Zhuang Jie Chong; Tirthankar Bandyopadhyay; Marcelo H. Ang Jr.; Emilio Frazzoli; Daniela Rus (ITSC, 2013)

Motion planning using cooperative perception on urban road. - Wei Liu 024; Seong-Woo Kim; Zhuang Jie Chong; Xiaotong Shen; Marcelo H. Ang (RAM, 2013)

Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. - Wei Pan; Xiaotong Shen; Binghui Liu (J. Mach. Learn. Res., 2013)

Penalized regression and risk prediction in genome-wide association studies. - Erin Austin; Wei Pan 011; Xiaotong Shen (Stat. Anal. Data Min., 2013)

Introduction. - David Banks; Xiaotong Shen (Stat. Anal. Data Min., 2013)

Scalable Cooperative Localization with Minimal Sensor Configuration. - Xiaotong Shen; Scott Pendleton; Marcelo H. Ang Jr. (DARS, 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. (IAS, 2014)

Spatio-temporal motion features for laser-based moving objects detection and tracking. - Xiaotong Shen; Seong-Woo Kim; Marcelo H. Ang Jr. (IROS, 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)

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)

Bounds for Kalman filtering with intermittent observations. - Xiaotong Shen; Daniela Rus; Marcelo H. Ang (ECC, 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 024; Xiaotong Shen; Zhiyong Weng; Cody Kamin; Mark Adam Ang; Lucas Tetsuya Kuwae; Katarzyna Anna Marczuk; et al. (IROS, 2015)

Multi-vehicle motion coordination using V2V communication. - Xiaotong Shen; Zhuang Jie Chong; Scott Pendleton; Wei Liu 024; Baoxing Qin; James Guo Ming Fu; Marcelo H. Ang (Intelligent Vehicles Symposium, 2015)

Autonomous vehicle planning system design under perception limitation in pedestrian environment. - Wei Liu 024; Zhiyong Weng; Zhuang Jie Chong; Xiaotong Shen; Scott Pendleton; Baoxing Qin; James Guo Ming Fu; Marcelo H. Ang (RAM/CIS, 2015)

Efficient L-shape fitting of laser scanner data for vehicle pose estimation. - Xiaotong Shen; Scott Pendleton; Marcelo H. Ang (RAM/CIS, 2015)

Efficient nonconvex sparse group feature selection via continuous and discrete optimization. - Shuo Xiang; Xiaotong Shen; Jieping Ye (Artif. Intell., 2015)

Simultaneous pursuit of sparseness and rank structures for matrix decomposition. - Qi Yan; Jieping Ye; Xiaotong Shen (J. Mach. Learn. Res., 2015)

Fused Multiple Graphical Lasso. - Sen Yang 004; Zhaosong Lu; Xiaotong Shen; Peter Wonka; Jieping Ye (SIAM J. Optim., 2015)

Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation. - Seong-Woo Kim; Baoxing Qin; Zhuang Jie Chong; Xiaotong Shen; Wei Liu 024; Marcelo H. Ang; Emilio Frazzoli; Daniela Rus (IEEE Trans. Intell. Transp. Syst., 2015)

Fast Joint Compatibility Branch and Bound for feature cloud matching. - Xiaotong Shen; Emilio Frazzoli; Daniela Rus; Marcelo H. Ang (IROS, 2016)

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. - Tao Yang 016; Jun Liu 003; Pinghua Gong; Ruiwen Zhang; Xiaotong Shen; Jieping Ye (KDD, 2016)

System integration: Application towards autonomous navigation in cluttered environments. - Zehui Meng; Hao Sun; Xiaotong Shen; Ziyue Chen; Marcelo H. Ang (SII, 2016)

Multi-class autonomous vehicles for mobility-on-demand service. - Scott Drew Pendleton; Hans Andersen; Xiaotong Shen; You Hong Eng; Chen Zhang 018; Hai Xun Kong; Wei Kang Leong; Marcelo H. Ang; Daniela Rus (SII, 2016)

Detection and state estimation of moving objects on a moving base for indoor navigation. - Hao Sun; Zehui Meng; Xiaotong Shen; Marcelo H. Ang (SII, 2016)

A New Algorithm and Theory for Penalized Regression-based Clustering. - Chong Wu; Sunghoon Kwon; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2016)

Nonlinear joint latent variable models and integrative tumor subtype discovery. - Binghui Liu; Xiaotong Shen; Wei Pan 011 (Stat. Anal. Data Min., 2016)

A hybrid approach of candidate region extraction for robust traffic light recognition. - Xiaotong Shen; Hans Andersen; Marcelo H. Ang; Daniela Rus (ITSC, 2017)

Obstacle-guided informed planning towards robot navigation in cluttered environments. - Zehui Meng; Hailong Qin; Hao Sun; Xiaotong Shen; Marcelo H. Ang (ROBIO, 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)

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 (CSDM Asia, 2018)

Conditional Compatibility Branch and Bound for Feature Cloud Matching. - Xiaotong Shen; Marcelo H. Ang; Daniela Rus (ICRA, 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 018; Marcelo H. Ang; Daniela Rus (ICRA, 2018)

The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment. - Yue Wang; Xiaotong Shen; Haowen Liu; Tiantong Zhou; Sari Merilampi; Ling Zou 002 (ICIRA (5), 2019)

A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. - Zhong Zhuang; Xiaotong Shen; Wei Pan 011 (Bioinform., 2019)

Smooth neighborhood recommender systems. - Ben Dai; Junhui Wang; Xiaotong Shen; Annie Qu (J. Mach. Learn. Res., 2019)

Vehicle to Infrastructure VLC Channel Models. - Xiaotong Shen; Harald Haas (VTC Spring, 2020)

A Regularization-Based Adaptive Test for High-Dimensional GLMs. - Chong Wu; Gongjun Xu; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2020)

Multilabel Classification With Multivariate Time Series Predictors. - Yuezhang Che; Yunzhang Zhu; Xiaotong Shen (IEEE Trans. Signal Process., 2020)

Significance tests of feature relevance for a blackbox learner. - Ben Dai; Xiaotong Shen; Wei Pan (CoRR, 2021)

Two-level monotonic multistage recommender systems. - Ben Dai; Xiaotong Shen; Wei Pan (CoRR, 2021)

Distribution-Invariant Differential Privacy. - Xuan Bi; Xiaotong Shen (CoRR, 2021)

Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation. - Ben Dai; Xiaotong Shen; Lin Yee Chen; Chunlin Li 007; Wei Pan (CoRR, 2022)

Intelligent Classification of Multimedia Images Based on Class Information Mining. - Shuai Xiao 001; Xiaotong Shen; Guipeng Lan; Jiachen Yang; Jiabao Wen; Yong Zhu 007 (AMC-SME, 2023)

Boosting Summarization with Normalizing Flows and Aggressive Training. - Yu Yang; Xiaotong Shen (EMNLP, 2023)

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification. - Yifei Liu; Rex Shen; Xiaotong Shen (CoRR, 2023)

Boosting Data Analytics With Synthetic Volume Expansion. - Xiaotong Shen; Yifei Liu; Rex Shen (CoRR, 2023)

Inference for a Large Directed Acyclic Graph with Unspecified Interventions. - Chunlin Li 007; Xiaotong Shen; Wei Pan (J. Mach. Learn. Res., 2023)

Inference of nonlinear causal effects with application to TWAS with GWAS summary data. - Ben Dai; Chunlin Li; Haoran Xue; Wei Pan; Xiaotong Shen (CLeaR, 2024)

Enhancing Accuracy in Generative Models via Knowledge Transfer. - Xinyu Tian; Xiaotong Shen (CoRR, 2024)

Underwater image classification based on image enhancement and information quality evaluation. - Shuai Xiao 001; Xiaotong Shen; Zhuo Zhang; Jiabao Wen; Meng Xi 001; Jiachen Yang (Displays, 2024)

Significance Tests of Feature Relevance for a Black-Box Learner. - Ben Dai; Xiaotong Shen; Wei Pan 011 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A hierarchical ensemble causal structure learning approach for wafer manufacturing. - Yu Yang; Sthitie Bom; Xiaotong Shen (J. Intell. Manuf., 2024)

Novel Uncertainty Quantification Through Perturbation-Assisted Sample Synthesis. - Yifei Liu; Rex Shen; Xiaotong Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Extracting Genetically-Imputed Causal Features From ECG Data. - Yuchen Yao; Zhaotong Lin; Xiaotong Shen; Lin Yee Chen; Wei Pan 011 (Stat. Anal. Data Min., 2025)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning. - Xinyu Tian; Xiaotong Shen (CoRR, 2025)

Conditional Data Synthesis Augmentation. - Xinyu Tian; Xiaotong Shen (CoRR, 2025)

Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference. - Jin Du; Li Chen; Xun Xian; An Luo; Fangqiao Tian; Ganghua Wang; Charles Doss; Xiaotong Shen; Jie Ding 002 (CoRR, 2025)