Jinbo Bi

发表

Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing

Aaron Palmer, Dipak K. Dey, Jinbo Bi, 2018, UAI.

Classification of Neurological Gait Disorders Using Multi-task Feature Learning

Wenlong Zhang, Masayoshi Tomizuka, Jinbo Bi, 2016, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Automatic medical coding of patient records via weighted ridge regression

Jinbo Bi, Lucian Vlad Lita, R. Bharat Rao, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Efficient techniques for genotype‐phenotype correlational analysis

Sanguthevar Rajasekaran, Jinbo Bi, Subrata Saha, 2013, BMC Medical Informatics and Decision Making.

Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography

Jinbo Bi, Jianming Liang, J. Bi, 2007, IPMI.

A multi-objective program for quantitative subtyping of clinically relevant phenotypes

Jinbo Bi, Jiangwen Sun, Henry R. Kranzler, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization

Jinbo Bi, Jin Lu, Jiangwen Sun, 2015, ICML.

LungCAD: a clinically approved, machine learning system for lung cancer detection

Jinbo Bi, Glenn Fung, Marcos Salganicoff, 2007, KDD '07.

Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning

Alexander Russell, Chao Shang, Jinbo Bi, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases

Jinbo Bi, Jiangwen Sun, Henry R. Kranzler, 2014, IEEE Journal of Biomedical and Health Informatics.

Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent

Sanguthevar Rajasekaran, Tianbao Yang, Jinbo Bi, 2020, J. Parallel Distributed Comput..

Joint Optimization of Cascaded Classifiers for Computer Aided Detection

Murat Dundar, Jinbo Bi, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A sparse integrative cluster analysis for understanding soybean phenotypes

Jinbo Bi, Yansong Ma, Jin Lu, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sparse classifiers for Automated HeartWall Motion Abnormality Detection

Jinbo Bi, Glenn Fung, R. Bharat Rao, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Learning Classifiers When the Training Data Is Not IID

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2007, IJCAI.

Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction

Jinbo Bi, Jiangwen Sun, Tingyang Xu, 2015, KDD.

Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network

Jinbo Bi, Xia Xiao, Chun-Hsi Huang, 2018, 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).

Learning classifiers from dual annotation ambiguity via a min-max framework

Jinbo Bi, Xin Wang, 2015, Neurocomputing.

AdaBoost on low-rank PSD matrices for metric learning

Jinbo Bi, Le Lu, Dijia Wu, 2011, CVPR 2011.

Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI

Jinbo Bi, V. Anand, J. Liu, 2007, IPMI.

Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure

Alexander Russell, Chao Shang, Jinbo Bi, 2018, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis

Kim L. Boyer, Jinbo Bi, Dijia Wu, 2009, CVPR.

A Survey on Multiview Clustering pdf

Shiliang Sun, Jinbo Bi, Guoqing Chao, 2017, IEEE Transactions on Artificial Intelligence.

Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography

Jinbo Bi, Le Lu, Marcos Salganicoff, 2010, MCV.

Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features

Jinbo Bi, Jiangwen Sun, Henry R. Kranzler, 2013, KDD.

A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis

Jinbo Bi, Tao Xiong, 2007, AAAI.

Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs

Jinbo Bi, Jiangwen Sun, Henry R. Kranzler, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning with Rigorous Support Vector Machines

Jinbo Bi, Vladimir Vapnik, V. Vapnik, 2003, COLT.

Collaborative phenotype inference from comorbid substance use disorders and genotypes

Jinbo Bi, Xinyu Wang, Jin Lu, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Dimensionality Reduction via Sparse Support Vector Machines

Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, 2003, J. Mach. Learn. Res..

Federated Nonconvex Sparse Learning pdf

Jinbo Bi, Tan Zhu, Qianqian Tong, 2020, ArXiv.

Active learning via transductive experimental design

Jinbo Bi, Volker Tresp, Kai Yu, 2006, ICML.

On Multiplicative Multitask Feature Learning

Jinbo Bi, Xin Wang, Shipeng Yu, 2014, NIPS.

MILES: Multiple-Instance Learning via Embedded Instance Selection

Yixin Chen, James Ze Wang, Jinbo Bi, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Mining Medical Images

Xiang Zhou, Murat Dundar, Jinbo Bi, 2009 .

Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach

Jinbo Bi, Le Lu, Marcos Salganicoff, 2011, MICCAI.

Inferring phenotypes from substance use via collaborative matrix completion

Jinbo Bi, Jin Lu, Jiangwen Sun, 2018, BMC Systems Biology.

Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography

Jinbo Bi, Le Lu, Shipeng Yu, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Column-generation boosting methods for mixture of kernels

Jinbo Bi, Tong Zhang, Kristin P. Bennett, 2004, KDD.

Efficient model selection for regularized linear discriminant analysis

Jieping Ye, Jinbo Bi, Qi Li, 2006, CIKM '06.

An intelligent web-based decision support tool for enhancing asthma guideline adherence

Jinbo Bi, Arun Abraham, 2012, IHI '12.

Matrix-variate and higher-order probabilistic projections

Jieping Ye, Jinbo Bi, Shipeng Yu, 2011, Data Mining and Knowledge Discovery.

Multi-view cluster analysis with incomplete data to understand treatment effects

Jinbo Bi, Jin Lu, Jiangwen Sun, 2019, Inf. Sci..

Multi-view biclustering for genotype-phenotype association studies of complex diseases

Jinbo Bi, Jiangwen Sun, Henry R. Kranzler, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Translating Effective Paper-Based Disease Management into Electronic Medical Systems

Jinbo Bi, Tingyang Xu, Michelle M. Cloutier, 2014, 2014 IEEE International Conference on Healthcare Informatics.

Probabilistic Joint Feature Selection for Multi-task Learning

Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky, 2007, SDM.

GaitCode: Gait-based continuous authentication using multimodal learning and wearable sensors

Jinbo Bi, Wenlong Zhang, Zhi Qiao, 2020 .

Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation

Jinbo Bi, Dengyuan Chen, Dengyuan Chen, 2010, Comput. Math. Appl..

Latent Sparse Modeling of Longitudinal Multi-Dimensional Data

Jinbo Bi, Tingyang Xu, Ko-Shin Chen, 2018, AAAI.

A fast iterative algorithm for fisher discriminant using heterogeneous kernels

Murat Dundar, Jinbo Bi, Glenn Fung, 2004, ICML.

Calibrating the adaptive learning rate to improve convergence of ADAM

Jinbo Bi, Qianqian Tong, Guannan Liang, 2019, Neurocomputing.

CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans

Murat Dundar, Jinbo Bi, Hong Shen, 2005 .

A machine learning approach to college drinking prediction and risk factor identification

Jinbo Bi, Yu Wu, Jiangwen Sun, 2013, ACM Trans. Intell. Syst. Technol..

End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion pdf

Bowen Zhou, Chao Shang, Jinbo Bi, 2018, AAAI.

Stratified learning of local anatomical context for lung nodules in CT images

Kim L. Boyer, Jinbo Bi, Le Lu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization

Jinbo Bi, Jin Lu, Tingyang Xu, 2021, IEEE Internet of Things Journal.

Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations

Jinbo Bi, Xin Wang, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Quantifying feed efficiency of dairy cattle for genome-wide association analysis

Jinbo Bi, Jiangwen Sun, Tingyang Xu, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A geometric approach to support vector regression

Jinbo Bi, Kristin P. Bennett, J. Bi, 2003, Neurocomputing.

An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification

Jinbo Bi, Marcos Salganicoff, Arun Krishnan, 2009, Medical Imaging.

Discrete Graph Structure Learning for Forecasting Multiple Time Series pdf

Jinbo Bi, Jie Chen, Chao Shang, 2021, ArXiv.

Convolutional neural network for automated mass segmentation in mammography

Jinbo Bi, Reda Ammar, Sheida Nabavi, 2018, BMC Bioinformatics.

On the medical frontier: the 2006 KDD Cup competition and results

Jinbo Bi, Marcos Salganicoff, R. Bharat Rao, 2006, SKDD.

Automatic medical coding of patient records via weighted ridge regression

Jinbo Bi, Lucian Vlad Lita, R. Bharat Rao, 2007, ICMLA 2007.

Automated heart abnormality detection using sparse linear classifiers.

Jinbo Bi, Glenn Fung, Sriram Krishnan, 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing

Jinbo Bi, Tan Zhu, Chun Jiang Zhu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Fusing location data for depression prediction

Alexander Russell, Chao Shang, Jinbo Bi, 2017, 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure

Jinbo Bi, Jianming Liang, J. Bi, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Training a CAD classifier with correlated data

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2007, SPIE Medical Imaging.

Improved Dynamic Graph Learning through Fault-Tolerant Sparsification

Song Han, Jinbo Bi, Sabine Storandt, 2019, ICML.

Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression

Jinbo Bi, Kristin P. Bennett, Steven M. Cramer, 2002, J. Chem. Inf. Comput. Sci..

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers

Jinbo Bi, Glenn Fung, Marcos Salganicoff, 2006, KDD '06.

A Sparse Interactive Model for Matrix Completion with Side Information

Jinbo Bi, Jin Lu, Jiangwen Sun, 2016, NIPS.

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression

Alexander Russell, Jinbo Bi, Asma Ahmad Farhan, 2016, 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Detecting tympanostomy tubes from otoscopic images via offline and online training

Jinbo Bi, Tulio A. Valdez, Xin Wang, 2015, Comput. Biol. Medicine.

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning

Jinbo Bi, Chun Jiang Zhu, Qianqian Tong, 2020, AAAI.

Fusing Location Data for Depression Prediction

Alexander Russell, Chao Shang, Jinbo Bi, 2021, IEEE Transactions on Big Data.

Semi-supervised mixture of kernels via LPBoost methods

Murat Dundar, Jinbo Bi, Glenn Fung, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

1-norm support vector machine for college drinking risk factor identification

Michael Zuba, Jinbo Bi, Yu Wu, 2012, IHI '12.

Identifying and quantifying nonlinear structured relationships in complex manufactural systems

Wei Cheng, Jinbo Bi, Haifeng Chen, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Residual Deep Learning System for Mass Segmentation and Classification in Mammography

Jinbo Bi, Reda Ammar, Sheida Nabavi, 2019, BCB.

Support Vector Classification with Input Data Uncertainty

Jinbo Bi, Tong Zhang, Tong Zhang, 2004, NIPS.

Edge Attention-based Multi-Relational Graph Convolutional Networks pdf

Jinfeng Yi, Chao Shang, Jinbo Bi, 2018, ArXiv.

Communication-Optimal Distributed Dynamic Graph Clustering pdf

Song Han, Jinbo Bi, Kam-yiu Lam, 2019, AAAI.

Stratified regularity measures with Jensen-Shannon divergence

Jinbo Bi, Kazunori Okada, Senthil Periaswamy, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Bayesian multiple instance learning: automatic feature selection and inductive transfer

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2008, ICML '08.

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data

Alexander Russell, Jinbo Bi, Asma Ahmad Farhan, 2016, 2016 IEEE Wireless Health (WH).

Sparse Fisher Discriminant Analysis for Computer Aided Detection

Murat Dundar, Jinbo Bi, Glenn Fung, 2005, SDM.

Gait-Based Continuous Authentication Using Multimodal Learning

Song Han, Jinbo Bi, Ioannis Papavasileiou, 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Large Scale Diagnostic Code Classification for Medical Patient Records

Jinbo Bi, Lucian Vlad Lita, Shipeng Yu, 2008, IJCNLP.

VIGAN: Missing view imputation with generative adversarial networks

Chao Shang, Aaron Palmer, Jinbo Bi, 2017, 2017 IEEE International Conference on Big Data (Big Data).

A sparse support vector machine approach to region-based image categorization

Yixin Chen, James Ze Wang, Jinbo Bi, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings

Murat Dundar, Jinbo Bi, Le Lu, 2009, MICCAI.

Multi-Objective Programming in SVMs

Jinbo Bi, 2003, ICML.

On the VC-dimension of unique round-trip shortest path systems

Joseph Kee-Yin Ng, Jinbo Bi, Kam-yiu Lam, 2019, Inf. Process. Lett..

A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis

Kim L. Boyer, Jinbo Bi, Dijia Wu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A cross-species bi-clustering approach to identifying conserved co-regulated genes

Jinbo Bi, Jiangwen Sun, Zongliang Jiang, 2016, Bioinform..

Reduction of lymph tissue false positives in pulmonary embolism detection

Bernard Ghanem, Jinbo Bi, Marcos Salganicoff, 2008, Medical Imaging: Computer-Aided Diagnosis.

Lung Nodule Detection

Jinbo Bi, Marcos Salganicoff, Anna K. Jerebko, 2010, ImageCLEF.

Effective 3D object detection and regression using probabilistic segmentation features in CT images

Jinbo Bi, Le Lu, Marcos Salganicoff, 2011, CVPR 2011.

An Improved Multi-task Learning Approach with Applications in Medical Diagnosis

Murat Dundar, Jinbo Bi, R. Bharat Rao, 2008, ECML/PKDD.

Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance pdf

Jinbo Bi, Qianqian Tong, Guannan Liang, 2019, ArXiv.

Regression Error Characteristic Curves

Jinbo Bi, Kristin P. Bennett, J. Bi, 2003, ICML.

Multi-view spectral graph convolution with consistent edge attention for molecular modeling

Chao Shang, Jinbo Bi, Minghu Song, 2021, Neurocomputing.

Against Membership Inference Attack: Pruning is All You Need

Hang Liu, Sanguthevar Rajasekaran, Jinbo Bi, 2020, IJCAI.

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper)

Hang Liu, Jinbo Bi, Hongwu Peng, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Discrete Graph Structure Learning for Forecasting Multiple Time Series pdf

Jinbo Bi, Jie Chen, Chao Shang, 2021, ICLR.

Spectral vertex sparsifiers and pair-wise spanners over distributed graphs

Jinbo Bi, Qinqing Liu, Chunjiang Zhu, 2021, ICML.

Communication Efficient Distributed Hypergraph Clustering

Jinbo Bi, Qinqing Liu, Chun Jiang Zhu, 2021, SIGIR.

An Efficient Algorithm for Deep Stochastic Contextual Bandits

Jinbo Bi, Guannan Liang, Haining Li, 2021, AAAI.

A Deep Molecular Generative Model Based on Multi-Resolution Graph Variational Autoencoders

Jinbo Bi, zhenxiang gao, xinyu wang, 2021 .

Differentially Private and Communication Efficient Collaborative Learning

Miao Pan, Jinbo Bi, Guannan Liang, 2021, AAAI.

Transcriptional profiles of bovine in vivo pre-implantation development

Craig Obergfell, Jinbo Bi, Jiangwen Sun, 2014, BMC Genomics.

Improved methods to identify stable, highly heritable subtypes of opioid use and related behaviors.

Jinbo Bi, Jiangwen Sun, David Oslin, 2012, Addictive behaviors.

Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

Jinbo Bi, Ruhua Jiang, Jason K. Johannesen, 2016, Neuropsychiatric electrophysiology.

Comparing the utility of homogeneous subtypes of cocaine use and related behaviors with DSM‐IV cocaine dependence as traits for genetic association analysis

Jinbo Bi, Jiangwen Sun, Joel Gelernter, 2014, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

An Effective Method to Identify Heritable Components from Multivariate Phenotypes

Jinbo Bi, Jiangwen Sun, J. Bi, 2015, PloS one.

Local Characteristic Features for Computer Aided Detection of Pulmonary Embolism in CT Angiography

Jinbo Bi, Jianming Liang, J. Bi, 2008 .

Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression.

Jinbo Bi, Kristin P. Bennett, Steven M. Cramer, 2003 .

Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data pdf

Jinbo Bi, Guannan Liang, Qianqian Tong, 2020, ArXiv.