Jinbo Bi

According to our database1, Jinbo Bi authored at least 85 papers between 2002 and 2019.

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Bibliography

2019
Multi-view cluster analysis with incomplete data to understand treatment effects.
Inf. Sci., 2019

On the VC-dimension of unique round-trip shortest path systems.
Inf. Process. Lett., 2019

Improved Dynamic Graph Learning through Fault-Tolerant Sparsification.
Proceedings of the 36th International Conference on Machine Learning, 2019

Communication-Optimal Distributed Dynamic Graph Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure.
IMWUT, 2018

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning.
IMWUT, 2018

Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

Convolutional Neural Network for Automated Mass Segmentation in Mammography.
Proceedings of the 8th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2018

Latent Sparse Modeling of Longitudinal Multi-Dimensional Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Fusing location data for depression prediction.
Proceedings of the 2017 IEEE SmartWorld, 2017

Classification of Neurological Gait Disorders Using Multi-task Feature Learning.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Gait-Based Continuous Authentication Using Multimodal Learning.
Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Identifying and quantifying nonlinear structured relationships in complex manufactural systems.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

VIGAN: Missing view imputation with generative adversarial networks.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Collaborative phenotype inference from comorbid substance use disorders and genotypes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Multiplicative Multitask Feature Learning.
J. Mach. Learn. Res., 2016

A cross-species bi-clustering approach to identifying conserved co-regulated genes.
Bioinformatics, 2016

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data.
Proceedings of the 2016 IEEE Wireless Health, 2016

A Sparse Interactive Model for Matrix Completion with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression.
Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2015
Learning classifiers from dual annotation ambiguity via a min-max framework.
Neurocomputing, 2015

Detecting tympanostomy tubes from otoscopic images via offline and online training.
Comp. in Bio. and Med., 2015

Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Quantifying feed efficiency of dairy cattle for genome-wide association analysis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases.
IEEE J. Biomedical and Health Informatics, 2014

On Multiplicative Multitask Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Translating Effective Paper-Based Disease Management into Electronic Medical Systems.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

A sparse integrative cluster analysis for understanding soybean phenotypes.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
A machine learning approach to college drinking prediction and risk factor identification.
ACM TIST, 2013

Efficient techniques for genotype-phenotype correlational analysis.
BMC Med. Inf. & Decision Making, 2013

Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-view biclustering for genotype-phenotype association studies of complex diseases.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
1-norm support vector machine for college drinking risk factor identification.
Proceedings of the ACM International Health Informatics Symposium, 2012

An intelligent web-based decision support tool for enhancing asthma guideline adherence.
Proceedings of the ACM International Health Informatics Symposium, 2012

A multi-objective program for quantitative subtyping of clinically relevant phenotypes.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Matrix-variate and higher-order probabilistic projections.
Data Min. Knowl. Discov., 2011

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Effective 3D object detection and regression using probabilistic segmentation features in CT images.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AdaBoost on low-rank PSD matrices for metric learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation.
Computers & Mathematics with Applications, 2010

Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

Stratified learning of local anatomical context for lung nodules in CT images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Lung Nodule Detection.
Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009
A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Reduction of lymph tissue false positives in pulmonary embolism detection.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Large Scale Diagnostic Code Classification for Medical Patient Records.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.
Proceedings of the Machine Learning, 2008

Stratified regularity measures with Jensen-Shannon divergence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Probabilistic Joint Feature Selection for Multi-task Learning.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Training a CAD classifier with correlated data.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

LungCAD: a clinically approved, machine learning system for lung cancer detection.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography.
Proceedings of the Information Processing in Medical Imaging, 2007

Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI.
Proceedings of the Information Processing in Medical Imaging, 2007

Learning Classifiers When the Training Data Is Not IID.
Proceedings of the IJCAI 2007, 2007

Automatic medical coding of patient records via weighted ridge regression.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Joint Optimization of Cascaded Classifiers for Computer Aided Detection.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
On the medical frontier: the 2006 KDD Cup competition and results.
SIGKDD Explorations, 2006

MILES: Multiple-Instance Learning via Embedded Instance Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Active learning via transductive experimental design.
Proceedings of the Machine Learning, 2006

Efficient model selection for regularized linear discriminant analysis.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Sparse Fisher Discriminant Analysis for Computer Aided Detection.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Sparse classifiers for Automated HeartWall Motion Abnormality Detection.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Semi-Supervised Mixture of Kernels via LPBoost Methods.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Sparse Support Vector Machine Approach to Region-Based Image Categorization.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Support Vector Classification with Input Data Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Column-generation boosting methods for mixture of kernels.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A fast iterative algorithm for fisher discriminant using heterogeneous kernels.
Proceedings of the Machine Learning, 2004

2003
Dimensionality Reduction via Sparse Support Vector Machines.
J. Mach. Learn. Res., 2003

A geometric approach to support vector regression.
Neurocomputing, 2003

Regression Error Characteristic Curves.
Proceedings of the Machine Learning, 2003

Multi-Objective Programming in SVMs.
Proceedings of the Machine Learning, 2003

Learning with Rigorous Support Vector Machines.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.
Journal of Chemical Information and Computer Sciences, 2002


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