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Jianwu Xu
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2020 – today
- 2025
- [j10]Chao Jing, Jianwu Xu:
PPDO: a privacy-preservation-aware delay optimization task-offloading algorithm for collaborative edge computing. Frontiers Inf. Technol. Electron. Eng. 26(1): 27-41 (2025) - 2021
- [j9]Hongpeng Liao, Jianwu Xu, Zhuliang Yu:
Novel Convolutional Neural Network with Variational Information Bottleneck for P300 Detection. Entropy 23(1): 39 (2021) - 2020
- [c30]Bin Nie, Jianwu Xu, Jacob Alter, Haifeng Chen, Evgenia Smirni
:
Mining Multivariate Discrete Event Sequences for Knowledge Discovery and Anomaly Detection. DSN 2020: 552-563 - [c29]Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen
, Jianwu Xu, Ding Li, Haifeng Chen:
Temporal Context-Aware Representation Learning for Question Routing. WSDM 2020: 753-761
2010 – 2019
- 2018
- [c28]Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Gulzar, Nipun Arora, Cristian Lumezanu, Jianwu Xu, Bo Zong, Hui Zhang, Guofei Jiang, Latifur Khan
:
LogLens: A Real-Time Log Analysis System. ICDCS 2018: 1052-1062 - 2016
- [c27]Xiao Yu, Pallavi Joshi, Jianwu Xu, Guoliang Jin, Hui Zhang, Guofei Jiang:
CloudSeer: Workflow Monitoring of Cloud Infrastructures via Interleaved Logs. ASPLOS 2016: 489-502 - [c26]Ke Zhang
, Jianwu Xu, Martin Renqiang Min
, Guofei Jiang, Konstantinos Pelechrinis, Hui Zhang:
Automated IT system failure prediction: A deep learning approach. IEEE BigData 2016: 1291-1300 - [c25]Hossein Hamooni, Biplob Debnath, Jianwu Xu, Hui Zhang, Guofei Jiang, Abdullah Mueen:
LogMine: Fast Pattern Recognition for Log Analytics. CIKM 2016: 1573-1582 - 2014
- [j8]Jianwu Xu, Kenji Suzuki
:
Max-AUC Feature Selection in Computer-Aided Detection of Polyps in CT Colonography. IEEE J. Biomed. Health Informatics 18(2): 585-593 (2014) - [c24]Jianwu Xu, Xiumei Zhang, Yuhua Cheng, Gongliang Yang, Junli Liu:
The Construction of a Clinical Decision Support System Based on Knowledge Base. ICISO 2014: 388-397 - 2012
- [c23]Jianwu Xu, Kenji Suzuki
:
Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT. Computer-Aided Diagnosis 2012: 83150H - [c22]Jianwu Xu, Kenji Suzuki
:
Computer-aided detection of polyps in CT colonography by means of AdaBoost. Computer-Aided Diagnosis 2012: 83150V - 2011
- [j7]Murali Rao, Sohan Seth, Jian-Wu Xu, Yunmei Chen, Hemant D. Tagare, José C. Príncipe:
A test of independence based on a generalized correlation function. Signal Process. 91(1): 15-27 (2011) - [c21]Jianwu Xu, Kenji Suzuki
:
Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection. ISBI 2011: 1097-1100 - [c20]Jianwu Xu, Kenji Suzuki
, Masatoshi Hori, Aytekin Oto, Richard Baron:
Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: a preliminary study. Computer-Aided Diagnosis 2011: 79630S - [c19]Jianwu Xu, Kenji Suzuki
:
Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. MLMI 2011: 360-367 - 2010
- [j6]Kenji Suzuki
, Jun Zhang
, Jianwu Xu:
Massive-Training Artificial Neural Network Coupled With Laplacian-Eigenfunction-Based Dimensionality Reduction for Computer-Aided Detection of Polyps in CT Colonography. IEEE Trans. Medical Imaging 29(11): 1907-1917 (2010) - [c18]Kenji Suzuki
, Mark L. Epstein, Ryan Kohlbrenner, Ademola Obajuluwa, Jianwu Xu, Masatoshi Hori, Richard Baron:
CT liver volumetry using geodesic active contour segmentation with a level-set algorithm. Computer-Aided Diagnosis 2010: 76240R - [c17]Kenji Suzuki
, Mark L. Epstein, Jianwu Xu, Piotr Obara, Don C. Rockey, Abraham H. Dachman
:
Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing. Computer-Aided Diagnosis 2010: 762423 - [c16]Jianwu Xu, Kenji Suzuki
:
False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach. Virtual Colonoscopy and Abdominal Imaging 2010: 47-52 - [c15]Kenji Suzuki
, Jianwu Xu, Jun Zhang, Ivan Sheu:
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography. MLMI 2010: 182-189 - [p3]Jian-Wu Xu, Robert Jenssen, António R. C. Paiva, Il Park
:
A Reproducing Kernel Hilbert Space Framework for ITL. Information Theoretic Learning 2010: 351-384 - [p2]Weifeng Liu, Puskal P. Pokharel, Jian-Wu Xu, Sohan Seth:
Correntropy for Random Variables: Properties and Applications in Statistical Inference. Information Theoretic Learning 2010: 385-413 - [p1]Puskal P. Pokharel, Ignacio Santamaría, Jianwu Xu, Kyu-Hwa Jeong, Weifeng Liu:
Correntropy for Random Processes: Properties and Applications in Signal Processing. Information Theoretic Learning 2010: 415-455
2000 – 2009
- 2009
- [c14]Jian-Wu Xu, Vartika Singh, Venu Govindaraju, Depankar Neogi:
A Hierarchical Classification Model for Document Categorization. ICDAR 2009: 486-490 - [c13]Jian-Wu Xu, Vartika Singh, Venu Govindaraju
, Depankar Neogi:
A Cascade Multiple Classifier System for Document Categorization. MCS 2009: 458-467 - 2008
- [j5]Jian-Wu Xu, Hovagim Bakardjian
, Andrzej Cichocki
, José C. Príncipe:
A new nonlinear similarity measure for multichannel signals. Neural Networks 21(2-3): 222-231 (2008) - [j4]Jian-Wu Xu, José Carlos Príncipe:
A Pitch Detector Based on a Generalized Correlation Function. IEEE Trans. Speech Audio Process. 16(8): 1420-1432 (2008) - [j3]Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe:
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. IEEE Trans. Signal Process. 56(12): 5891-5902 (2008) - 2007
- [c12]Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao:
Automatic medical coding of patient records via weighted ridge regression. ICMLA 2007: 260-265 - [c11]Jian-Wu Xu, Hovagim Bakardjian
, Andrzej Cichocki
, José C. Príncipe:
A New Nonlinear Similarity Measure for Multichannel Biological Signals. IJCNN 2007: 2046-2051 - 2006
- [c10]António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe:
Kernel Principal Components Are Maximum Entropy Projections. ICA 2006: 846-853 - [c9]Jian-Wu Xu, Puskal P. Pokharel, Kyu-Hwa Jeong, José C. Príncipe:
An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space. ICASSP (5) 2006: 573-576 - [c8]Puskal P. Pokharel, Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
A Closed Form Solution for a Nonlinear Wiener Filter. ICASSP (3) 2006: 720-723 - [c7]Kyu-Hwa Jeong, Puskal P. Pokharel, Jian-Wu Xu, Seungju Han
, José C. Príncipe:
Kernel Based Synthetic Discriminant Function for Object Recognition. ICASSP (5) 2006: 765-768 - [c6]Jian-Wu Xu, Puskal P. Pokharel, António R. C. Paiva, José C. Príncipe:
Nonlinear Component Analysis Based on Correntropy. IJCNN 2006: 1851-1855 - 2005
- [j2]Jing Lan, Jeongho Cho, Deniz Erdogmus, José C. Príncipe, Mark A. Motter, Jian-Wu Xu:
Local Linear PID Controllers for Nonlinear Control. Control. Intell. Syst. 33(1) (2005) - [j1]Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe:
A new classifier based on information theoretic learning with unlabeled data. Neural Networks 18(5-6): 719-726 (2005) - [c5]Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimum error entropy Luenberger observer. ACC 2005: 1923-19283 - [c4]Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe:
An information-theoretic perspective to kernel independent components analysis. ICASSP (5) 2005: 249-252 - [c3]Kyu-Hwa Jeong, Jian-Wu Xu, José C. Príncipe:
An information theoretic approach to adaptive system training using unlabeled data. IJCNN 2005: 191-195 - 2004
- [c2]Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. ICA 2004: 311-318 - [c1]Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimizing Fisher information of the error in supervised adaptive filter training. ICASSP (5) 2004: 513-516
Coauthor Index
aka: José Carlos Príncipe
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