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2020 – today
- 2024
[j36]Hossein Hamidi Shishavan, Ethan Gossett, Jinbo Bi
, Robert Henning, Martin Cherniack, Insoo Kim:
Unsupervised Bayesian change point detection model to track acute stress responses. Biomed. Signal Process. Control. 95: 106415 (2024)- [j35]Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi:
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. 11(3): 3909-3926 (2024) - [c86]Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang:
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE 2024: 13-24 - [i24]Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar:
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR abs/2402.15586 (2024) - [i23]Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song:
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR abs/2403.05796 (2024) - [i22]Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar:
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR abs/2405.16036 (2024) - 2023
- [j34]Marjan Hosseini, Aaron Palmer, William Manka, Patrick G. S. Grady, Venkata Patchigolla, Jinbo Bi, Rachel J. O'Neill, Zhiyi Chi, Derek Aguiar:
Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures. Bioinform. 39(Supplement-1): 242-251 (2023) - [j33]Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang:
Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 121:1-121:21 (2023) - [j32]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. 630: 567-585 (2023) - [j31]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55(3): 1997-2000 (2023) - [c85]Blake B. Gaines, Minghu Song, Jinbo Bi:
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. IEEE Big Data 2023: 510-515 - [c84]Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi:
Auto-Encoding Goodness of Fit. ICLR 2023 - [c83]Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi:
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. IJCAI 2023: 6094-6102 - [c82]Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi:
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS 2023 - 2022
- [j30]Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi:
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15(9): 319 (2022) - [j29]Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun:
Editorial: special issue on multi-view learning. Appl. Intell. 52(13): 14591-14594 (2022) - [j28]Qianqian Tong, Guannan Liang, Jinbo Bi:
Calibrating the adaptive learning rate to improve convergence of ADAM. Neurocomputing 481: 333-356 (2022) - [c81]Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi:
Heterogeneous Graph Sparsification for Efficient Representation Learning. BIBM 2022: 1891-1896 - [c80]Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding:
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC 2022: 1135-1140 - [i21]Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding:
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR abs/2208.03646 (2022) - [i20]Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi:
Auto-Encoding Goodness of Fit. CoRR abs/2210.06546 (2022) - [i19]Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi:
Heterogeneous Graph Sparsification for Efficient Representation Learning. CoRR abs/2211.07518 (2022) - 2021
- [j27]Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi:
Multi-view spectral graph convolution with consistent edge attention for molecular modeling. Neurocomputing 445: 12-25 (2021) - [j26]Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi:
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8(8): 6519-6535 (2021) - [j25]Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi:
Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. 101: 102721 (2021) - [j24]Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. 2(2): 146-168 (2021) - [j23]Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Fusing Location Data for Depression Prediction. IEEE Trans. Big Data 7(2): 355-370 (2021) - [c79]Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan:
Differentially Private and Communication Efficient Collaborative Learning. AAAI 2021: 7219-7227 - [c78]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI 2021: 11193-11201 - [c77]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:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 2021: 1-7 - [c76]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. ICLR 2021 - [c75]Chunjiang Zhu, Qinqing Liu, Jinbo Bi:
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. ICML 2021: 12890-12900 - [c74]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
Against Membership Inference Attack: Pruning is All You Need. IJCAI 2021: 3141-3147 - [c73]Chun Jiang Zhu, Qinqing Liu, Jinbo Bi:
Communication Efficient Distributed Hypergraph Clustering. SIGIR 2021: 2131-2135 - [i18]Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. CoRR abs/2101.00052 (2021) - [i17]Chao Shang, Jie Chen, Jinbo Bi:
Discrete Graph Structure Learning for Forecasting Multiple Time Series. CoRR abs/2101.06861 (2021) - [i16]Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi:
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR abs/2103.04413 (2021) - [i15]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR abs/2104.05613 (2021) - [i14]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:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR abs/2109.06355 (2021) - 2020
- [j22]Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi:
Convolutional neural network for automated mass segmentation in mammography. BMC Bioinform. 21-S(1): 192 (2020) - [j21]Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi:
Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. J. Chem. Inf. Model. 60(12): 6167-6184 (2020) - [j20]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143: 47-66 (2020) - [c72]Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi:
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI 2020: 1585-1592 - [c71]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM 2020: 285-294 - [c70]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM 2020: 342-351 - [c69]Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran:
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN 2020: 1-8 - [i13]Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan:
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR abs/2008.04500 (2020) - [i12]Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran:
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR abs/2008.13578 (2020) - [i11]Qianqian Tong, Guannan Liang, Jinbo Bi:
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. CoRR abs/2009.06557 (2020) - [i10]Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi:
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR abs/2009.06562 (2020) - [i9]Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi:
Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR abs/2011.00667 (2020)
2010 – 2019
- 2019
- [j19]Chun Jiang Zhu, Kam-yiu Lam, Joseph Kee-Yin Ng, Jinbo Bi:
On the VC-dimension of unique round-trip shortest path systems. Inf. Process. Lett. 145: 1-5 (2019) - [j18]Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi:
Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. 494: 278-293 (2019) - [c68]Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI 2019: 3060-3067 - [c67]Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. AAAI 2019: 5957-5964 - [c66]Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi:
Residual Deep Learning System for Mass Segmentation and Classification in Mammography. BCB 2019: 475-484 - [c65]Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song:
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM 2019: 330-333 - [c64]Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi:
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. ICML 2019: 7624-7633 - [e1]Illhoi Yoo, Jinbo Bi, Xiaohua Hu:
2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019. IEEE 2019, ISBN 978-1-7281-1867-3 [contents] - [i8]Qianqian Tong, Guannan Liang, Jinbo Bi:
Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. CoRR abs/1908.00700 (2019) - 2018
- [j17]Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi:
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 21:1-21:21 (2018) - [j16]Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang:
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 195:1-195:27 (2018) - [c63]Ko-Shin Chen, Tingyang Xu, Jinbo Bi:
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI 2018: 2135-2142 - [c62]Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi:
Convolutional Neural Network for Automated Mass Segmentation in Mammography. ICCABS 2018: 1 - [c61]Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang:
Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS 2018: 166-174 - [c60]Aaron Palmer, Dipak K. Dey, Jinbo Bi:
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI 2018: 1009-1019 - [i7]Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou:
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. CoRR abs/1811.04441 (2018) - [i6]Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. CoRR abs/1811.06072 (2018) - 2017
- [j15]Xin Wang, Jinbo Bi:
Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 564-575 (2017) - [c59]Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi:
Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM 2017: 392-397 - [c58]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi:
VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData 2017: 766-775 - [c57]Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi:
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - [c56]Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han:
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CHASE 2017: 195-204 - [c55]Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han:
Gait-Based Continuous Authentication Using Multimodal Learning. CHASE 2017: 290-291 - [c54]Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [i5]Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi:
VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR abs/1708.06724 (2017) - [i4]Guoqing Chao, Shiliang Sun, Jinbo Bi:
A Survey on Multi-View Clustering. CoRR abs/1712.06246 (2017) - 2016
- [j14]Jiangwen Sun, Zongliang Jiang, Xiuchun Tian, Jinbo Bi:
A cross-species bi-clustering approach to identifying conserved co-regulated genes. Bioinform. 32(12): 137-146 (2016) - [j13]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song:
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17: 80:1-80:33 (2016) - [c53]Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis:
Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. CHASE 2016: 264-273 - [c52]Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi:
A Sparse Interactive Model for Matrix Completion with Side Information. NIPS 2016: 4071-4079 - [c51]Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang:
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health 2016: 30-37 - [i3]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR abs/1610.07184 (2016) - [i2]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. CoRR abs/1610.07563 (2016) - [i1]Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka:
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CoRR abs/1612.02562 (2016) - 2015
- [j12]Xin Wang, Tulio A. Valdez, Jinbo Bi:
Detecting tympanostomy tubes from otoscopic images via offline and online training. Comput. Biol. Medicine 61: 107-118 (2015) - [j11]Jinbo Bi, Xin Wang:
Learning classifiers from dual annotation ambiguity via a min-max framework. Neurocomputing 151: 891-904 (2015) - [c50]Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi:
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM 2015: 131-134 - [c49]Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi:
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML 2015: 757-766 - [c48]Tingyang Xu, Jiangwen Sun, Jinbo Bi:
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD 2015: 1345-1354 - 2014
- [j10]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases. IEEE J. Biomed. Health Informatics 18(2): 548-554 (2014) - [c47]Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu:
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM 2014: 1-7 - [c46]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs. BIBM 2014: 340-343 - [c45]Tingyang Xu, Jinbo Bi, Michelle M. Cloutier:
Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI 2014: 101-108 - [c44]Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun:
On Multiplicative Multitask Feature Learning. NIPS 2014: 2411-2419 - 2013
- [j9]Subrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, Sudipta Pathak:
Efficient techniques for genotype-phenotype correlational analysis. BMC Medical Informatics Decis. Mak. 13: 41 (2013) - [j8]Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli:
A machine learning approach to college drinking prediction and risk factor identification. ACM Trans. Intell. Syst. Technol. 4(4): 72:1-72:24 (2013) - [c43]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Multi-view biclustering for genotype-phenotype association studies of complex diseases. BIBM 2013: 316-321 - [c42]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. KDD 2013: 811-819 - 2012
- [c41]Jiangwen Sun, Jinbo Bi, Henry R. Kranzler:
A multi-objective program for quantitative subtyping of clinically relevant phenotypes. BIBM 2012: 1-6 - [c40]Jinbo Bi, Arun Abraham:
An intelligent web-based decision support tool for enhancing asthma guideline adherence. IHI 2012: 51-60 - [c39]Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli:
1-norm support vector machine for college drinking risk factor identification. IHI 2012: 651-660 - 2011
- [j7]Shipeng Yu, Jinbo Bi, Jieping Ye:
Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. 22(3): 372-392 (2011) - [c38]Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff:
Effective 3D object detection and regression using probabilistic segmentation features in CT images. CVPR 2011: 1049-1056 - [c37]Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf:
AdaBoost on low-rank PSD matrices for metric learning. CVPR 2011: 2617-2624 - [c36]Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff:
Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) 2011: 75-82 - 2010
- [j6]Jinbo Bi, Dengyuan Chen:
Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation. Comput. Math. Appl. 60(7): 1881-1887 (2010) - [c35]Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff:
Stratified learning of local anatomical context for lung nodules in CT images. CVPR 2010: 2791-2798 - [c34]Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff:
Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. MCV 2010: 118-129 - [p1]Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, Marcos Salganicoff:
Lung Nodule Detection. ImageCLEF 2010: 415-434
2000 – 2009
- 2009
- [c33]Dijia Wu, Jinbo Bi,