Jinbo Bi

According to our database, Jinbo Bi authored at least 129 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices.

Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi

IEEE Internet Things J., February, 2024

Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference.

Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song

CoRR, 2024

Distilling Adversarial Robustness Using Heterogeneous Teachers.

Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar

CoRR, 2024

2023

Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data.

Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023

Editorial: Special Issue on Transfer Learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Neural Process. Lett., June, 2023

Stochastic privacy-preserving methods for nonconvex sparse learning.

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Inf. Sci., June, 2023

Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures.

Marjan Hosseini, Aaron Palmer, William Manka, Patrick G. S. Grady, Venkata Patchigolla, Jinbo Bi, Rachel J. O'Neill, Zhiyi Chi, Derek Aguiar

Bioinform., 2023

Polyhedron Attention Module: Learning Adaptive-order Interactions.

Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction.

Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Auto-Encoding Goodness of Fit.

Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints.

Blake B. Gaines, Minghu Song, Jinbo Bi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Calibrating the adaptive learning rate to improve convergence of ADAM.

Qianqian Tong, Guannan Liang, Jinbo Bi

Neurocomputing, 2022

Editorial: special issue on multi-view learning.

Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun

Appl. Intell., 2022

Federated Optimization of ℓ0-norm Regularized Sparse Learning.

Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi

Algorithms, 2022

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining.

Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Heterogeneous Graph Sparsification for Efficient Representation Learning.

Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Fusing Location Data for Depression Prediction.

Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang

IEEE Trans. Big Data, 2021

A Survey on Multiview Clustering.

Guoqing Chao, Shiliang Sun, Jinbo Bi

IEEE Trans. Artif. Intell., 2021

Asynchronous parallel stochastic Quasi-Newton methods.

Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi

Parallel Comput., 2021

A Bisection Reinforcement Learning Approach to 3-D Indoor Localization.

Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi

IEEE Internet Things J., 2021

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

Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi

Neurocomputing, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

CoRR, 2021

Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods.

Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

CoRR, 2021

Federated Nonconvex Sparse Learning.

Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi

CoRR, 2021

Communication Efficient Distributed Hypergraph Clustering.

Chun Jiang Zhu, Qinqing Liu, Jinbo Bi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Against Membership Inference Attack: Pruning is All You Need.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Spectral vertex sparsifiers and pair-wise spanners over distributed graphs.

Chunjiang Zhu, Qinqing Liu, Jinbo Bi

Proceedings of the 38th International Conference on Machine Learning, 2021

Discrete Graph Structure Learning for Forecasting Multiple Time Series.

Chao Shang, Jie Chen, Jinbo Bi

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

An Efficient Algorithm for Deep Stochastic Contextual Bandits.

Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Differentially Private and Communication Efficient Collaborative Learning.

Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi

J. Parallel Distributed Comput., 2020

Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search.

Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi

J. Chem. Inf. Model., 2020

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

Qianqian Tong, Guannan Liang, Jinbo Bi

CoRR, 2020

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

CoRR, 2020

Convolutional neural network for automated mass segmentation in mammography.

Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi

BMC Bioinform., 2020

Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding.

Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Effective Proximal Methods for Non-convex Non-smooth Regularized Learning.

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Towards Plausible Differentially Private ADMM Based Distributed Machine Learning.

Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

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

Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi

Inf. Sci., 2019

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

Chun Jiang Zhu, Kam-yiu Lam, Joseph Kee-Yin Ng, Jinbo Bi

Inf. Process. Lett., 2019

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

Qianqian Tong, Guannan Liang, Jinbo Bi

CoRR, 2019

Improved Dynamic Graph Learning through Fault-Tolerant Sparsification.

Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi

Proceedings of the 36th International Conference on Machine Learning, 2019

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

Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Residual Deep Learning System for Mass Segmentation and Classification in Mammography.

Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Communication-Optimal Distributed Dynamic Graph Clustering.

Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion.

Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

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

Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing.

Aaron Palmer, Dipak K. Dey, Jinbo Bi

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

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

Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

Latent Sparse Modeling of Longitudinal Multi-Dimensional Data.

Ko-Shin Chen, Tingyang Xu, Jinbo Bi

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations.

Xin Wang, Jinbo Bi

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

A Survey on Multi-View Clustering.

Guoqing Chao, Shiliang Sun, Jinbo Bi

CoRR, 2017

Classification of Neurological Gait Disorders Using Multi-task Feature Learning.

Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Gait-Based Continuous Authentication Using Multimodal Learning.

Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han

Proceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, 2017

Identifying and quantifying nonlinear structured relationships in complex manufactural systems.

Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

VIGAN: Missing view imputation with generative adversarial networks.

Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Collaborative phenotype inference from comorbid substance use disorders and genotypes.

Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Multiplicative Multitask Feature Learning.

Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song

J. Mach. Learn. Res., 2016

Classification of Neurological Gait Disorders Using Multi-task Feature Learning.

Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka

CoRR, 2016

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

Jiangwen Sun, Zongliang Jiang, Xiuchun Tian, Jinbo Bi

Bioinform., 2016

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

Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang

Proceedings of the 2016 IEEE Wireless Health, 2016

A Sparse Interactive Model for Matrix Completion with Side Information.

Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi

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.

Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis

Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016

2015

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

Jinbo Bi, Xin Wang

Neurocomputing, 2015

Detecting tympanostomy tubes from otoscopic images via offline and online training.

Xin Wang, Tulio A. Valdez, Jinbo Bi

Comput. Biol. Medicine, 2015

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

Tingyang Xu, Jiangwen Sun, Jinbo Bi

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.

Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi

Proceedings of the 32nd International Conference on Machine Learning, 2015

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

Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases.

Jiangwen Sun, Jinbo Bi, Henry R. Kranzler

IEEE J. Biomed. Health Informatics, 2014

On Multiplicative Multitask Feature Learning.

Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun

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.

Tingyang Xu, Jinbo Bi, Michelle M. Cloutier

Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

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

Jiangwen Sun, Jinbo Bi, Henry R. Kranzler

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

A sparse integrative cluster analysis for understanding soybean phenotypes.

Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu

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.

Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli

ACM Trans. Intell. Syst. Technol., 2013

Efficient techniques for genotype-phenotype correlational analysis.

Subrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, Sudipta Pathak

BMC Medical Informatics Decis. Mak., 2013

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

Jiangwen Sun, Jinbo Bi, Henry R. Kranzler

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.

Jiangwen Sun, Jinbo Bi, Henry R. Kranzler

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

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

Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli

Proceedings of the ACM International Health Informatics Symposium, 2012

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

Jinbo Bi, Arun Abraham

Proceedings of the ACM International Health Informatics Symposium, 2012

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

Jiangwen Sun, Jinbo Bi, Henry R. Kranzler

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Matrix-variate and higher-order probabilistic projections.

Shipeng Yu, Jinbo Bi, Jieping Ye

Data Min. Knowl. Discov., 2011

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

Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff

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.

Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AdaBoost on low-rank PSD matrices for metric learning.

Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation.

Jinbo Bi, Dengyuan Chen

Comput. Math. Appl., 2010

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

Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff

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.

Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Lung Nodule Detection.

Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, Marcos Salganicoff

Proceedings of the ImageCLEF, Experimental Evaluation in Visual Information Retrieval, 2010

2009

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

Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff

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.

Yimo Tao, Xiang Sean Zhou, Jinbo Bi, Anna Jerebkoa, Matthias Wolf, Marcos Salganicoff, Arun Krishnan

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.

Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan, Xiang Sean Zhou

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.

Dijia Wu, Jinbo Bi, Kim L. Boyer

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.

Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Reduction of lymph tissue false positives in pulmonary embolism detection.

Bernard Ghanem, Jianming Liang, Jinbo Bi, Marcos Salganicoff, Arun Krishnan

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Large Scale Diagnostic Code Classification for Medical Patient Records.

Lucian Vlad Lita, Shipeng Yu, Radu Stefan Niculescu, Jinbo Bi

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Bayesian multiple instance learning: automatic feature selection and inductive transfer.

Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao

Proceedings of the Machine Learning, 2008

Stratified regularity measures with Jensen-Shannon divergence.

Kazunori Okada, Senthil Periaswamy, Jinbo Bi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Probabilistic Joint Feature Selection for Multi-task Learning.

Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Training a CAD classifier with correlated data.

Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao

Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

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

R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich

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.

Jianming Liang, Jinbo Bi

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.

Anna K. Jerebko, Gerwin P. Schmidt, Xiang Sean Zhou, Jinbo Bi, Vikram Anand, Jiamin Liu, Stefan Schoenberg, Ingo Schmuecking, Berthold Kiefer, Arun Krishnan

Proceedings of the Information Processing in Medical Imaging, 2007

Learning Classifiers When the Training Data Is Not IID.

Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao

Proceedings of the IJCAI 2007, 2007

Automatic medical coding of patient records via weighted ridge regression.

Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Joint Optimization of Cascaded Classifiers for Computer Aided Detection.

Murat Dundar, Jinbo Bi

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.

Jinbo Bi, Jianming Liang

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.

Jinbo Bi, Tao Xiong

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

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

Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff

SIGKDD Explor., 2006

MILES: Multiple-Instance Learning via Embedded Instance Selection.

Yixin Chen, Jinbo Bi, James Ze Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Computer aided detection via asymmetric cascade of sparse hyperplane classifiers.

Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Active learning via transductive experimental design.

Kai Yu, Jinbo Bi, Volker Tresp

Proceedings of the Machine Learning, 2006

Efficient model selection for regularized linear discriminant analysis.

Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

Sparse Fisher Discriminant Analysis for Computer Aided Detection.

Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Sparse classifiers for Automated HeartWall Motion Abnormality Detection.

Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Semi-Supervised Mixture of Kernels via LPBoost Methods.

Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

A Sparse Support Vector Machine Approach to Region-Based Image Categorization.

Jinbo Bi, Yixin Chen, James Ze Wang

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.

Jinbo Bi, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Column-generation boosting methods for mixture of kernels.

Jinbo Bi, Tong Zhang, Kristin P. Bennett

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.

Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao

Proceedings of the Machine Learning, 2004

2003

Dimensionality Reduction via Sparse Support Vector Machines.

Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song

J. Mach. Learn. Res., 2003

A geometric approach to support vector regression.

Jinbo Bi, Kristin P. Bennett

Neurocomputing, 2003

Regression Error Characteristic Curves.

Jinbo Bi, Kristin P. Bennett

Proceedings of the Machine Learning, 2003

Multi-Objective Programming in SVMs.

Jinbo Bi

Proceedings of the Machine Learning, 2003

Learning with Rigorous Support Vector Machines.

Jinbo Bi, Vladimir Vapnik

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.

Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu

J. Chem. Inf. Comput. Sci., 2002

2001

Duality, Geometry, and Support Vector Regression.

Jinbo Bi, Kristin P. Bennett

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001