Xiaotong Shen - RankMe

84 papers A* 6A 7B 1C 3Journal 50Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generative Score Inference for Multimodal Data. CoRR Xinyu Tian, Xiaotong Shen
2026	J	`jnl`	Manifold-Aligned Generative Transport. CoRR Xinyu Tian, Xiaotong Shen
2025	J	`jnl`	Conditional Data Synthesis Augmentation. CoRR Xinyu Tian, Xiaotong Shen
2025	J	`jnl`	Extracting Genetically-Imputed Causal Features From ECG Data. Stat. Anal. Data Min. Yuchen Yao, Zhaotong Lin, Xiaotong Shen, Lin Yee Chen, Wei Pan
2025	J	`jnl`	Generative Distribution Prediction: A Unified Approach to Multimodal Learning. CoRR Xinyu Tian, Xiaotong Shen
2025	J	`jnl`	Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference. CoRR Jin Du, Li Chen, Xun Xian, An Luo, Fangqiao Tian, Ganghua Wang, Charles Doss, Xiaotong Shen, Jie Ding
2024	J	`jnl`	A hierarchical ensemble causal structure learning approach for wafer manufacturing. J. Intell. Manuf. Yu Yang, Sthitie Bom, Xiaotong Shen
2024	J	`jnl`	Causal Discovery with Generalized Linear Models through Peeling Algorithms. J. Mach. Learn. Res. Minjie Wang, Xiaotong Shen, Wei Pan
2024	J	`jnl`	Enhancing Accuracy in Generative Models via Knowledge Transfer. CoRR Xinyu Tian, Xiaotong Shen
2024	—	`conf`	Inference of nonlinear causal effects with application to TWAS with GWAS summary data. CLeaR Ben Dai, Chunlin Li, Haoran Xue, Wei Pan, Xiaotong Shen
2024	J	`jnl`	Novel Uncertainty Quantification Through Perturbation-Assisted Sample Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. Yifei Liu, Rex Shen, Xiaotong Shen
2024	J	`jnl`	Significance Tests of Feature Relevance for a Black-Box Learner. IEEE Trans. Neural Networks Learn. Syst. Ben Dai, Xiaotong Shen, Wei Pan
2024	J	`jnl`	Underwater image classification based on image enhancement and information quality evaluation. Displays Shuai Xiao, Xiaotong Shen, Zhuo Zhang, Jiabao Wen, Meng Xi, Jiachen Yang
2023	J	`jnl`	Boosting Data Analytics With Synthetic Volume Expansion. CoRR Xiaotong Shen, Yifei Liu, Rex Shen
2023	A*	`conf`	Boosting Summarization with Normalizing Flows and Aggressive Training. EMNLP Yu Yang, Xiaotong Shen
2023	J	`jnl`	Boosting Summarization with Normalizing Flows and Aggressive Training. CoRR Yu Yang, Xiaotong Shen
2023	J	`jnl`	Inference for a Large Directed Acyclic Graph with Unspecified Interventions. J. Mach. Learn. Res. Chunlin Li, Xiaotong Shen, Wei Pan
2023	—	`conf`	Intelligent Classification of Multimedia Images Based on Class Information Mining. AMC-SME Shuai Xiao, Xiaotong Shen, Guipeng Lan, Jiachen Yang, Jiabao Wen, Yong Zhu
2023	J	`jnl`	Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification. CoRR Yifei Liu, Rex Shen, Xiaotong Shen
2022	J	`jnl`	Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation. CoRR Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan
2021	J	`jnl`	Distribution-Invariant Differential Privacy. CoRR Xuan Bi, Xiaotong Shen
2021	J	`jnl`	Significance tests of feature relevance for a blackbox learner. CoRR Ben Dai, Xiaotong Shen, Wei Pan
2021	J	`jnl`	Two-level monotonic multistage recommender systems. CoRR Ben Dai, Xiaotong Shen, Wei Pan
2020	J	`jnl`	A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan
2020	J	`jnl`	Multilabel Classification With Multivariate Time Series Predictors. IEEE Trans. Signal Process. Yuezhang Che, Yunzhang Zhu, Xiaotong Shen
2020	—	`conf`	Vehicle to Infrastructure VLC Channel Models. VTC Spring Xiaotong Shen, Harald Haas
2019	J	`jnl`	A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. Bioinform. Zhong Zhuang, Xiaotong Shen, Wei Pan
2019	J	`jnl`	Smooth neighborhood recommender systems. J. Mach. Learn. Res. Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu
2019	—	`conf`	The Effectiveness of EEG-Feedback on Attention in 3D Virtual Environment. ICIRA (5) Yue Wang, Xiaotong Shen, Haowen Liu, Tiantong Zhou, Sari Merilampi, Ling Zou
2018	A*	`conf`	Conditional Compatibility Branch and Bound for Feature Cloud Matching. ICRA Xiaotong Shen, Marcelo H. Ang, Daniela Rus
2018	—	`conf`	Multi-class Fleet Sizing and Mobility on Demand Service. CSDM Asia Malika Meghjani, Scott Drew Pendleton, Katarzyna Anna Marczuk, You Hong Eng, Xiaotong Shen, Marcelo H. Ang Jr., Daniela Rus
2018	A*	`conf`	Vehicle Detection, Tracking and Behavior Analysis in Urban Driving Environments Using Road Context. ICRA Shashwat Verma, You Hong Eng, Hai Xun Kong, Hans Andersen, Malika Meghjani, Wei Kang Leong, Xiaotong Shen, Chen Zhang, Marcelo H. Ang, Daniela Rus
2017	J	`jnl`	A General Framework for Multi-vehicle Cooperative Localization Using Pose Graph. CoRR Xiaotong Shen, Hans Andersen, Wei Kang Leong, Hai Xun Kong, Marcelo H. Ang Jr., Daniela Rus
2017	—	`conf`	A hybrid approach of candidate region extraction for robust traffic light recognition. ITSC Xiaotong Shen, Hans Andersen, Marcelo H. Ang, Daniela Rus
2017	—	`conf`	Obstacle-guided informed planning towards robot navigation in cluttered environments. ROBIO Zehui Meng, Hailong Qin, Hao Sun, Xiaotong Shen, Marcelo H. Ang
2016	J	`jnl`	A New Algorithm and Theory for Penalized Regression-based Clustering. J. Mach. Learn. Res. Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan
2016	A*	`conf`	Absolute Fused Lasso and Its Application to Genome-Wide Association Studies. KDD Tao Yang, Jun Liu, Pinghua Gong, Ruiwen Zhang, Xiaotong Shen, Jieping Ye
2016	—	`conf`	Detection and state estimation of moving objects on a moving base for indoor navigation. SII Hao Sun, Zehui Meng, Xiaotong Shen, Marcelo H. Ang
2016	A	`conf`	Fast Joint Compatibility Branch and Bound for feature cloud matching. IROS Xiaotong Shen, Emilio Frazzoli, Daniela Rus, Marcelo H. Ang
2016	—	`conf`	Multi-class autonomous vehicles for mobility-on-demand service. SII Scott Drew Pendleton, Hans Andersen, Xiaotong Shen, You Hong Eng, Chen Zhang, Hai Xun Kong, Wei Kang Leong, Marcelo H. Ang, Daniela Rus
2016	J	`jnl`	Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. Binghui Liu, Xiaotong Shen, Wei Pan
2016	—	`conf`	System integration: Application towards autonomous navigation in cluttered environments. SII Zehui Meng, Hao Sun, Xiaotong Shen, Ziyue Chen, Marcelo H. Ang
2015	A	`conf`	Autonomous golf cars for public trial of mobility-on-demand service. IROS 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
2015	—	`conf`	Autonomous vehicle planning system design under perception limitation in pedestrian environment. RAM/CIS Wei Liu, Zhiyong Weng, Zhuang Jie Chong, Xiaotong Shen, Scott Pendleton, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang
2015	—	`conf`	Bounds for Kalman filtering with intermittent observations. ECC Xiaotong Shen, Daniela Rus, Marcelo H. Ang
2015	—	`conf`	Efficient L-shape fitting of laser scanner data for vehicle pose estimation. RAM/CIS Xiaotong Shen, Scott Pendleton, Marcelo H. Ang
2015	J	`jnl`	Efficient nonconvex sparse group feature selection via continuous and discrete optimization. Artif. Intell. Shuo Xiang, Xiaotong Shen, Jieping Ye
2015	J	`jnl`	Fused Multiple Graphical Lasso. SIAM J. Optim. Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye
2015	B	`conf`	Multi-vehicle motion coordination using V2V communication. Intelligent Vehicles Symposium Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, Wei Liu, Baoxing Qin, James Guo Ming Fu, Marcelo H. Ang
2015	J	`jnl`	Multivehicle Cooperative Driving Using Cooperative Perception: Design and Experimental Validation. IEEE Trans. Intell. Transp. Syst. Seong-Woo Kim, Baoxing Qin, Zhuang Jie Chong, Xiaotong Shen, Wei Liu, Marcelo H. Ang, Emilio Frazzoli, Daniela Rus
2015	J	`jnl`	Simultaneous pursuit of sparseness and rank structures for matrix decomposition. J. Mach. Learn. Res. Qi Yan, Jieping Ye, Xiaotong Shen
2014	J	`jnl`	Comparison of statistical tests for group differences in brain functional networks. NeuroImage Junghi Kim, Jeffrey R. Wozniak, Bryon A. Mueller, Xiaotong Shen, Wei Pan
2014	—	`conf`	Scalable Cooperative Localization with Minimal Sensor Configuration. DARS Xiaotong Shen, Scott Pendleton, Marcelo H. Ang Jr.
2014	A	`conf`	Spatio-temporal motion features for laser-based moving objects detection and tracking. IROS Xiaotong Shen, Seong-Woo Kim, Marcelo H. Ang Jr.
2014	C	`conf`	Teleoperation of On-Road Vehicles via Immersive Telepresence Using Off-the-shelf Components. IAS Xiaotong Shen, Zhuang Jie Chong, Scott Pendleton, James Guo Ming Fu, Baoxing Qin, Emilio Frazzoli, Marcelo H. Ang Jr.
2014	J	`jnl`	Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data. NeuroImage Yiwei Zhang, Zhiyuan Xu, Xiaotong Shen, Wei Pan
2013	—	`conf`	A general framework for road marking detection and analysis. ITSC Baoxing Qin, Wei Liu, Xiaotong Shen, Zhuang Jie Chong, Tirthankar Bandyopadhyay, Marcelo H. Ang Jr., Emilio Frazzoli, Daniela Rus
2013	J	`jnl`	Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. J. Mach. Learn. Res. Wei Pan, Xiaotong Shen, Binghui Liu
2013	A	`conf`	Cooperative perception for autonomous vehicle control on the road: Motivation and experimental results. IROS Seong-Woo Kim, Zhuang Jie Chong, Baoxing Qin, Xiaotong Shen, Zhuoqi Cheng, Wei Liu, Marcelo H. Ang
2013	J	`jnl`	Introduction. Stat. Anal. Data Min. David Banks, Xiaotong Shen
2013	—	`conf`	Motion planning using cooperative perception on urban road. RAM Wei Liu, Seong-Woo Kim, Zhuang Jie Chong, Xiaotong Shen, Marcelo H. Ang
2013	J	`jnl`	Penalized regression and risk prediction in genome-wide association studies. Stat. Anal. Data Min. Erin Austin, Wei Pan, Xiaotong Shen
2012	J	`jnl`	Efficient Sparse Group Feature Selection via Nonconvex Optimization CoRR Shuo Xiang, Xiaotong Shen, Jieping Ye
2012	A*	`conf`	Feature grouping and selection over an undirected graph. KDD Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye
2012	J	`jnl`	Fused Multiple Graphical Lasso CoRR Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye
2012	J	`jnl`	Generalized degrees of freedom and adaptive model selection in linear mixed-effects models. Comput. Stat. Data Anal. Bo Zhang, Xiaotong Shen, Sunni L. Mumford
2012	J	`jnl`	Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. Stat. Anal. Data Min. Yiping Yuan, Xiaotong Shen, Wei Pan
2012	A*	`conf`	Optimal exact least squares rank minimization. KDD Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye
2011	J	`jnl`	Large Margin Hierarchical Classification with Mutually Exclusive Class Membership. J. Mach. Learn. Res. Huixin Wang, Xiaotong Shen, Wei Pan
2010	J	`jnl`	Model selection procedure for high-dimensional data. Stat. Anal. Data Min. Yongli Zhang, Xiaotong Shen
2010	J	`jnl`	Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. Bioinform. Benhuai Xie, Wei Pan, Xiaotong Shen
2009	J	`jnl`	Network-based support vector machine for classification of microarray samples. BMC Bioinform. Yanni Zhu, Xiaotong Shen, Wei Pan
2009	J	`jnl`	On Efficient Large Margin Semisupervised Learning: Method and Theory. J. Mach. Learn. Res. Junhui Wang, Xiaotong Shen, Wei Pan
2008	J	`jnl`	Applying the multi-category learning to multiple video object extraction. Pattern Recognit. Yi Liu, Yuan F. Zheng, Xiaotong Shen
2007	J	`jnl`	Large Margin Semi-supervised Learning. J. Mach. Learn. Res. Junhui Wang, Xiaotong Shen
2007	J	`jnl`	Penalized Model-Based Clustering with Application to Variable Selection. J. Mach. Learn. Res. Wei Pan, Xiaotong Shen
2007	A	`conf`	Preface. AISTATS Marina Meila, Xiaotong Shen
2007	A	`ed.`	Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007 AISTATS Marina Meila, Xiaotong Shen
2006	—	`conf`	Multiple Video Object Extraction Using Multi-Category ψ-Learning. ICASSP (5) Yi Liu, Yuan F. Zheng, Xiaotong Shen
2006	C	`conf`	On L_1-Norm Multi-class Support Vector Machines. ICMLA Lifeng Wang, Xiaotong Shen, Yuan F. Zheng
2006	J	`jnl`	Semi-supervised learning via penalized mixture model with application to microarray sample classification. Bioinform. Wei Pan, Xiaotong Shen, Aixiang Jiang, Robert P. Hebbel
2005	A	`conf`	Computational Developments of SDM Sijin Liu, Xiaotong Shen, Wing Hung Wong
2004	J	`jnl`	Adaptive Model Selection and Assessment for Exponential Family Distributions. Technometrics Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye
2001	C	`conf`	Improving principal component analysis using Bayesian estimation. ACC Mohamed N. Nounou, Bhavik R. Bakshi, Prem K. Goel, Xiaotong Shen