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2020 – today
- 2024
[j31]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: 102635 (2024)- [j30]Yu Yang, Sthitie Bom, Xiaotong Shen:
A hierarchical ensemble causal structure learning approach for wafer manufacturing. J. Intell. Manuf. 35(6): 2961-2978 (2024) - [j29]Ben Dai, Xiaotong Shen, Wei Pan:
Significance Tests of Feature Relevance for a Black-Box Learner. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1898-1911 (2024) - [c33]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: 793-826 - [i11]Xinyu Tian, Xiaotong Shen:
Enhancing Accuracy in Generative Models via Knowledge Transfer. CoRR abs/2405.16837 (2024) - 2023
- [j28]Chunlin Li, Xiaotong Shen, Wei Pan:
Inference for a Large Directed Acyclic Graph with Unspecified Interventions. J. Mach. Learn. Res. 24: 73:1-73:48 (2023) - [c32]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: 45-50 - [c31]Yu Yang, Xiaotong Shen:
Boosting Summarization with Normalizing Flows and Aggressive Training. EMNLP 2023: 2727-2751 - [i10]Yifei Liu, Rex Shen, Xiaotong Shen:
Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification. CoRR abs/2305.18671 (2023) - [i9]Xiaotong Shen, Yifei Liu, Rex Shen:
Boosting Data Analytics With Synthetic Volume Expansion. CoRR abs/2310.17848 (2023) - [i8]Yu Yang, Xiaotong Shen:
Boosting Summarization with Normalizing Flows and Aggressive Training. CoRR abs/2311.00588 (2023) - 2022
- [i7]Ben Dai, Xiaotong Shen, Lin Yee Chen, Chunlin Li, Wei Pan:
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation. CoRR abs/2211.10061 (2022) - 2021
- [i6]Ben Dai, Xiaotong Shen, Wei Pan:
Significance tests of feature relevance for a blackbox learner. CoRR abs/2103.04985 (2021) - [i5]Ben Dai, Xiaotong Shen, Wei Pan:
Two-level monotonic multistage recommender systems. CoRR abs/2110.06116 (2021) - [i4]Xuan Bi, Xiaotong Shen:
Distribution-Invariant Differential Privacy. CoRR abs/2111.05791 (2021) - 2020
- [j27]Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan:
A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. 21: 128:1-128:67 (2020) - [j26]Yuezhang Che, Yunzhang Zhu, Xiaotong Shen:
Multilabel Classification With Multivariate Time Series Predictors. IEEE Trans. Signal Process. 68: 5696-5705 (2020) - [c30]Xiaotong Shen, Harald Haas:
Vehicle to Infrastructure VLC Channel Models. VTC Spring 2020: 1-5
2010 – 2019
- 2019
- [j25]Zhong Zhuang, Xiaotong Shen, Wei Pan:
A simple convolutional neural network for prediction of enhancer-promoter interactions with DNA sequence data. Bioinform. 35(17): 2899-2906 (2019) - [j24]Ben Dai, Junhui Wang, Xiaotong Shen, Annie Qu:
Smooth neighborhood recommender systems. J. Mach. Learn. Res. 20: 16:1-16:24 (2019) - [c29]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: 99-107 - 2018
- [c28]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: 37-49 - [c27]Xiaotong Shen, Marcelo H. Ang, Daniela Rus:
Conditional Compatibility Branch and Bound for Feature Cloud Matching. ICRA 2018: 1-6 - [c26]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: 1413-1420 - 2017
- [c25]Xiaotong Shen, Hans Andersen, Marcelo H. Ang, Daniela Rus:
A hybrid approach of candidate region extraction for robust traffic light recognition. ITSC 2017: 1-8 - [c24]Zehui Meng, Hailong Qin, Hao Sun, Xiaotong Shen, Marcelo H. Ang:
Obstacle-guided informed planning towards robot navigation in cluttered environments. ROBIO 2017: 332-337 - [i3]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 abs/1704.01252 (2017) - 2016
- [j23]Chong Wu, Sunghoon Kwon, Xiaotong Shen, Wei Pan:
A New Algorithm and Theory for Penalized Regression-based Clustering. J. Mach. Learn. Res. 17: 188:1-188:25 (2016) - [j22]Binghui Liu, Xiaotong Shen, Wei Pan:
Nonlinear joint latent variable models and integrative tumor subtype discovery. Stat. Anal. Data Min. 9(2): 106-116 (2016) - [c23]Xiaotong Shen, Emilio Frazzoli, Daniela Rus, Marcelo H. Ang:
Fast Joint Compatibility Branch and Bound for feature cloud matching. IROS 2016: 1757-1764 - [c22]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: 1955-1964 - [c21]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: 204-211 - [c20]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: 325-330 - [c19]Zehui Meng, Hao Sun, Xiaotong Shen, Ziyue Chen, Marcelo H. Ang:
System integration: Application towards autonomous navigation in cluttered environments. SII 2016: 786-791 - 2015
- [j21]Shuo Xiang, Xiaotong Shen, Jieping Ye:
Efficient nonconvex sparse group feature selection via continuous and discrete optimization. Artif. Intell. 224: 28-50 (2015) - [j20]Qi Yan, Jieping Ye, Xiaotong Shen:
Simultaneous pursuit of sparseness and rank structures for matrix decomposition. J. Mach. Learn. Res. 16: 47-75 (2015) - [j19]Sen Yang, Zhaosong Lu, Xiaotong Shen, Peter Wonka, Jieping Ye:
Fused Multiple Graphical Lasso. SIAM J. Optim. 25(2): 916-943 (2015) - [j18]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): 663-680 (2015) - [c18]Xiaotong Shen, Daniela Rus, Marcelo H. Ang:
Bounds for Kalman filtering with intermittent observations. ECC 2015: 2842-2846 - [c17]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: 1164-1171 - [c16]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: 1334-1341 - [c15]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: CIS:159-166 - [c14]Xiaotong Shen, Scott Pendleton, Marcelo H. Ang:
Efficient L-shape fitting of laser scanner data for vehicle pose estimation. RAM/CIS 2015: CIS:173-178 - 2014
- [j17]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: 309-325 (2014) - [j16]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: 681-694 (2014) - [c13]Xiaotong Shen, Scott Pendleton, Marcelo H. Ang Jr.:
Scalable Cooperative Localization with Minimal Sensor Configuration. DARS 2014: 89-104 - [c12]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: 1419-1433 - [c11]Xiaotong Shen, Seong-Woo Kim, Marcelo H. Ang Jr.:
Spatio-temporal motion features for laser-based moving objects detection and tracking. IROS 2014: 4253-4259 - 2013
- [j15]Wei Pan, Xiaotong Shen, Binghui Liu:
Cluster analysis: unsupervised learning via supervised learning with a non-convex penalty. J. Mach. Learn. Res. 14(1): 1865-1889 (2013) - [j14]Erin Austin, Wei Pan, Xiaotong Shen:
Penalized regression and risk prediction in genome-wide association studies. Stat. Anal. Data Min. 6(4): 315-328 (2013) - [j13]David Banks, Xiaotong Shen:
Introduction. Stat. Anal. Data Min. 6(6): 457 (2013) - [c10]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: 5059-5066 - [c9]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: 619-625 - [c8]Wei Liu, Seong-Woo Kim, Zhuang Jie Chong, Xiaotong Shen, Marcelo H. Ang:
Motion planning using cooperative perception on urban road. RAM 2013: 130-137 - 2012
- [j12]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): 574-586 (2012) - [j11]Yiping Yuan, Xiaotong Shen, Wei Pan:
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs. Stat. Anal. Data Min. 5(6): 523-530 (2012) - [c7]Shuo Xiang, Yunzhang Zhu, Xiaotong Shen, Jieping Ye:
Optimal exact least squares rank minimization. KDD 2012: 480-488 - [c6]Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye:
Feature grouping and selection over an undirected graph. KDD 2012: 922-930 - [i2]Shuo Xiang, Xiaotong Shen, Jieping Ye:
Efficient Sparse Group Feature Selection via Nonconvex Optimization. CoRR abs/1205.5075 (2012) - [i1]Sen Yang, Zhisong Pan, Xiaotong Shen, Peter Wonka, Jieping Ye:
Fused Multiple Graphical Lasso. CoRR abs/1209.2139 (2012) - 2011
- [j10]Huixin Wang, Xiaotong Shen, Wei Pan:
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership. J. Mach. Learn. Res. 12: 2721-2748 (2011) - 2010
- [j9]Benhuai Xie, Wei Pan, Xiaotong Shen:
Penalized mixtures of factor analyzers with application to clustering high-dimensional microarray data. Bioinform. 26(4): 501-508 (2010) - [j8]Yongli Zhang, Xiaotong Shen:
Model selection procedure for high-dimensional data. Stat. Anal. Data Min. 3(5): 350-358 (2010)
2000 – 2009
- 2009
- [j7]Yanni Zhu, Xiaotong Shen, Wei Pan:
Network-based support vector machine for classification of microarray samples. BMC Bioinform. 10(S-1) (2009) - [j6]Junhui Wang, Xiaotong Shen, Wei Pan:
On Efficient Large Margin Semisupervised Learning: Method and Theory. J. Mach. Learn. Res. 10: 719-742 (2009) - 2008
- [j5]Yi Liu, Yuan F. Zheng, Xiaotong Shen:
Applying the multi-category learning to multiple video object extraction. Pattern Recognit. 41(9): 2777-2788 (2008) - 2007
- [j4]Wei Pan, Xiaotong Shen:
Penalized Model-Based Clustering with Application to Variable Selection. J. Mach. Learn. Res. 8: 1145-1164 (2007) - [j3]Junhui Wang, Xiaotong Shen:
Large Margin Semi-supervised Learning. J. Mach. Learn. Res. 8: 1867-1891 (2007) - [c5]Marina Meila, Xiaotong Shen:
Preface. AISTATS 2007: 1-2 - [e1]Marina Meila, Xiaotong Shen:
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007. JMLR Proceedings 2, JMLR.org 2007 [contents] - 2006
- [j2]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): 2388-2395 (2006) - [c4]Yi Liu, Yuan F. Zheng, Xiaotong Shen:
Multiple Video Object Extraction Using Multi-Category ψ-Learning. ICASSP (5) 2006: 909-912 - [c3]Lifeng Wang, Xiaotong Shen, Yuan F. Zheng:
On L_1-Norm Multi-class Support Vector Machines. ICMLA 2006: 83-88 - 2005
- [c2]Sijin Liu, Xiaotong Shen, Wing Hung Wong:
Computational Developments of ψ-learning. SDM 2005: 1-11 - 2004
- [j1]Xiaotong Shen, Hsin-Cheng Huang, Jimmy Ye:
Adaptive Model Selection and Assessment for Exponential Family Distributions. Technometrics 46(3): 306-317 (2004) - 2001
- [c1]Mohamed N. Nounou, Bhavik R. Bakshi, Prem K. Goel, Xiaotong Shen:
Improving principal component analysis using Bayesian estimation. ACC 2001: 3666-3671
Coauthor Index
aka: Marcelo H. Ang Jr.
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