Jinbo Bi - RankMe

162 papers A* 39A 7B 10C 2Journal 69Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging. CoRR Xinyu Wang, Ke Deng, Fei Dou, Jinbo Bi, Jin Lu
2026	J	`jnl`	SIGMA: Structure-Invariant Generative Molecular Alignment for Chemical Language Models via Autoregressive Contrastive Learning. CoRR Xinyu Wang, Fei Dou, Jinbo Bi, Minghu Song
2026	A*	`conf`	VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing. AAAI Peining Zhang, Jinbo Bi, Minghu Song
2025	A	`conf`	Adversarially Attacking Graph Properties and Sparsification in Graph Learning. CIKM Chunjiang Zhu, Blake Gaines, Jing Deng, Jinbo Bi
2025	B	`conf`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. IJCNN Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2025	J	`jnl`	Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones. CoRR Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Yushuo Niu, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Qian Yang, Bing Wang
2025	J	`jnl`	Deep Q-Learning-Based Mobile Charger Path Planning in Wireless Powered Communication Networks. ACM Trans. Embed. Comput. Syst. Mainak Mondal, Fei Dou, Jinbo Bi, Song Han
2025	J	`jnl`	Explaining Graph Neural Networks with mixed-integer programming. Neurocomputing Blake B. Gaines, Chunjiang Zhu, Jinbo Bi
2025	—	`conf`	LOCAL: Latent Orthonormal Contrastive Learning for Paired Image Classification. ICCVW Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
2025	J	`jnl`	Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks. CoRR Xin Wang, Jinbo Bi, Minghu Song
2025	B	`conf`	Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome. CHASE Soumyashree Sahoo, Md. Zakir Hossain, Chinmaey Shende, Parit Patel, Xinyu Wang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2025	J	`jnl`	Unraveling the Potential of Diffusion Models in Small Molecule Generation. CoRR Peining Zhang, Daniel Baker, Minghu Song, Jinbo Bi
2025	J	`jnl`	VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing. CoRR Peining Zhang, Jinbo Bi, Minghu Song
2025	J	`jnl`	Zero-Shot Transfer Capabilities of the Sundial Foundation Model for Leaf Area Index Forecasting. CoRR Peining Zhang, Hongchen Qin, Haochen Zhang, Ziqi Guo, Guiling Wang, Jinbo Bi
2024	J	`jnl`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2024	J	`jnl`	Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
2024	J	`jnl`	On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
2024	J	`jnl`	Unsupervised Bayesian change point detection model to track acute stress responses. Biomed. Signal Process. Control. Hossein Hamidi Shishavan, Ethan Gossett, Jinbo Bi, Robert Henning, Martin Cherniack, Insoo Kim
2024	B	`conf`	Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2024	J	`jnl`	Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song
2023	A*	`conf`	Auto-Encoding Goodness of Fit. ICLR Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi
2023	A*	`conf`	Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. IJCAI Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi
2023	J	`jnl`	Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures. Bioinform. Marjan Hosseini, Aaron Palmer, William Manka, Patrick G. S. Grady, Venkata Patchigolla, Jinbo Bi, Rachel J. O'Neill, Zhiyi Chi, Derek Aguiar
2023	J	`jnl`	Editorial: Special Issue on Transfer Learning. Neural Process. Lett. Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2023	B	`conf`	Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. IEEE Big Data Blake B. Gaines, Minghu Song, Jinbo Bi
2023	A*	`conf`	Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi
2023	J	`jnl`	Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
2023	J	`jnl`	Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2022	J	`jnl`	A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A*	`conf`	A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	J	`jnl`	Auto-Encoding Goodness of Fit. CoRR Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi
2022	J	`jnl`	Calibrating the adaptive learning rate to improve convergence of ADAM. Neurocomputing Qianqian Tong, Guannan Liang, Jinbo Bi
2022	J	`jnl`	Editorial: special issue on multi-view learning. Appl. Intell. Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
2022	J	`jnl`	Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi
2022	—	`conf`	Heterogeneous Graph Sparsification for Efficient Representation Learning. BIBM Chandan Chunduru, Chun Jiang Zhu, Blake Gaines, Jinbo Bi
2022	J	`jnl`	Heterogeneous Graph Sparsification for Efficient Representation Learning. CoRR Chandan Chunduru, Chun Jiang Zhu, Blake Gaines, Jinbo Bi
2021	J	`jnl`	A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi
2021	J	`jnl`	A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. Guoqing Chao, Shiliang Sun, Jinbo Bi
2021	A*	`conf`	Against Membership Inference Attack: Pruning is All You Need. IJCAI Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
2021	A*	`conf`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
2021	J	`jnl`	Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
2021	A*	`conf`	Communication Efficient Distributed Hypergraph Clustering. SIGIR Chun Jiang Zhu, Qinqing Liu, Jinbo Bi
2021	A*	`conf`	Differentially Private and Communication Efficient Collaborative Learning. AAAI Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan
2021	A*	`conf`	Discrete Graph Structure Learning for Forecasting Multiple Time Series. ICLR Chao Shang, Jie Chen, Jinbo Bi
2021	J	`jnl`	Discrete Graph Structure Learning for Forecasting Multiple Time Series. CoRR Chao Shang, Jie Chen, Jinbo Bi
2021	J	`jnl`	Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2021	J	`jnl`	Federated Nonconvex Sparse Learning. CoRR Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi
2021	J	`jnl`	Fusing Location Data for Depression Prediction. IEEE Trans. Big Data Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2021	J	`jnl`	Multi-view spectral graph convolution with consistent edge attention for molecular modeling. Neurocomputing Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi
2021	A	`conf`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 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
2021	J	`jnl`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR 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
2021	A*	`conf`	Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. ICML Chunjiang Zhu, Qinqing Liu, Jinbo Bi
2020	A*	`conf`	An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
2020	J	`jnl`	Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
2020	J	`jnl`	Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. J. Chem. Inf. Model. Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi
2020	J	`jnl`	Convolutional neural network for automated mass segmentation in mammography. BMC Bioinform. Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi
2020	J	`jnl`	Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. CoRR Qianqian Tong, Guannan Liang, Jinbo Bi
2020	A*	`conf`	Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020	J	`jnl`	Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
2020	J	`jnl`	Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
2020	J	`jnl`	MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
2020	B	`conf`	Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran
2020	A	`conf`	Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2020	J	`jnl`	Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2019	—	`ed.`	2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019, San Diego, CA, USA, November 18-21, 2019 BIBM Illhoi Yoo, Jinbo Bi, Xiaohua Hu
2019	—	`conf`	Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song
2019	J	`jnl`	Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. CoRR Qianqian Tong, Guannan Liang, Jinbo Bi
2019	A*	`conf`	Communication-Optimal Distributed Dynamic Graph Clustering. AAAI Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi
2019	A*	`conf`	End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
2019	A*	`conf`	Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. ICML Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi
2019	J	`jnl`	Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi
2019	J	`jnl`	On the VC-dimension of unique round-trip shortest path systems. Inf. Process. Lett. Chun Jiang Zhu, Kam-yiu Lam, Joseph Kee-Yin Ng, Jinbo Bi
2019	—	`conf`	Residual Deep Learning System for Mass Segmentation and Classification in Mammography. BCB Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
2018	J	`jnl`	Communication-Optimal Distributed Dynamic Graph Clustering. CoRR Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi
2018	—	`conf`	Convolutional Neural Network for Automated Mass Segmentation in Mammography. ICCABS Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
2018	J	`jnl`	End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. CoRR Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
2018	J	`jnl`	Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi
2018	J	`jnl`	Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang
2018	A*	`conf`	Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI Ko-Shin Chen, Tingyang Xu, Jinbo Bi
2018	A	`conf`	Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI Aaron Palmer, Dipak K. Dey, Jinbo Bi
2018	B	`conf`	Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang
2017	J	`jnl`	A Survey on Multi-View Clustering. CoRR Guoqing Chao, Shiliang Sun, Jinbo Bi
2017	J	`jnl`	Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. Xin Wang, Jinbo Bi
2017	B	`conf`	Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CHASE Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han
2017	—	`conf`	Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi
2017	—	`conf`	Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2017	B	`conf`	Gait-Based Continuous Authentication Using Multimodal Learning. CHASE Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han
2017	—	`conf`	Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
2017	J	`jnl`	VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
2017	—	`conf`	VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
2016	—	`conf`	A Sparse Interactive Model for Matrix Completion with Side Information. NIPS Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi
2016	J	`jnl`	A cross-species bi-clustering approach to identifying conserved co-regulated genes. Bioinform. Jiangwen Sun, Zongliang Jiang, Xiuchun Tian, Jinbo Bi
2016	—	`conf`	Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
2016	J	`jnl`	Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CoRR Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka
2016	J	`jnl`	Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
2016	B	`conf`	Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. CHASE Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis
2016	J	`jnl`	Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song
2016	J	`jnl`	On Multiplicative Multitask Feature Learning. CoRR Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun
2015	J	`jnl`	Detecting tympanostomy tubes from otoscopic images via offline and online training. Comput. Biol. Medicine Xin Wang, Tulio A. Valdez, Jinbo Bi
2015	J	`jnl`	Learning classifiers from dual annotation ambiguity via a min-max framework. Neurocomputing Jinbo Bi, Xin Wang
2015	A*	`conf`	Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD Tingyang Xu, Jiangwen Sun, Jinbo Bi
2015	A*	`conf`	Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi
2015	—	`conf`	Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi
2014	—	`conf`	A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu
2014	—	`conf`	Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs. BIBM Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
2014	J	`jnl`	Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases. IEEE J. Biomed. Health Informatics Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
2014	—	`conf`	On Multiplicative Multitask Feature Learning. NIPS Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun
2014	—	`conf`	Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI Tingyang Xu, Jinbo Bi, Michelle M. Cloutier
2013	J	`jnl`	A machine learning approach to college drinking prediction and risk factor identification. ACM Trans. Intell. Syst. Technol. Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli
2013	J	`jnl`	Efficient techniques for genotype-phenotype correlational analysis. BMC Medical Informatics Decis. Mak. Subrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, Sudipta Pathak
2013	—	`conf`	Multi-view biclustering for genotype-phenotype association studies of complex diseases. BIBM Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
2013	A*	`conf`	Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. KDD Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
2012	—	`conf`	1-norm support vector machine for college drinking risk factor identification. IHI Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli
2012	—	`conf`	A multi-objective program for quantitative subtyping of clinically relevant phenotypes. BIBM Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
2012	—	`conf`	An intelligent web-based decision support tool for enhancing asthma guideline adherence. IHI Jinbo Bi, Arun Abraham
2011	A*	`conf`	AdaBoost on low-rank PSD matrices for metric learning. CVPR Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf
2011	A*	`conf`	Effective 3D object detection and regression using probabilistic segmentation features in CT images. CVPR Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
2011	J	`jnl`	Matrix-variate and higher-order probabilistic projections. Data Min. Knowl. Discov. Shipeng Yu, Jinbo Bi, Jieping Ye
2011	—	`conf`	Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. MICCAI (3) Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff
2010	—	`conf`	Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. MCV Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff
2010	—	`ch.`	Lung Nodule Detection. ImageCLEF Luca Bogoni, Jinbo Bi, Charles Florin, Anna K. Jerebko, Arun Krishnan, Sangmin Park, Vikas C. Raykar, Marcos Salganicoff
2010	J	`jnl`	Soliton solutions of higher-order generalized derivative nonlinear Schrödinger equation. Comput. Math. Appl. Jinbo Bi, Dengyuan Chen
2010	A*	`conf`	Stratified learning of local anatomical context for lung nodules in CT images. CVPR Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff
2009	—	`conf`	A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. MICCAI (1) Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff
2009	A*	`conf`	A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. CVPR Dijia Wu, Jinbo Bi, Kim L. Boyer
2009	—	`conf`	An adaptive knowledge-driven medical image search engine for interactive diffuse parenchymal lung disease quantification. Computer-Aided Diagnosis Yimo Tao, Xiang Sean Zhou, Jinbo Bi, Anna Jerebkoa, Matthias Wolf, Marcos Salganicoff, Arun Krishnan
2009	A*	`conf`	Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. ICCV Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan, Xiang Sean Zhou
2008	—	`conf`	An Improved Multi-task Learning Approach with Applications in Medical Diagnosis. ECML/PKDD (1) Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao
2008	A*	`conf`	Bayesian multiple instance learning: automatic feature selection and inductive transfer. ICML Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao
2008	B	`conf`	Large Scale Diagnostic Code Classification for Medical Patient Records. IJCNLP Lucian Vlad Lita, Shipeng Yu, Radu Stefan Niculescu, Jinbo Bi
2008	—	`conf`	Reduction of lymph tissue false positives in pulmonary embolism detection. Computer-Aided Diagnosis Bernard Ghanem, Jianming Liang, Jinbo Bi, Marcos Salganicoff, Arun Krishnan
2008	—	`conf`	Stratified regularity measures with Jensen-Shannon divergence. CVPR Workshops Kazunori Okada, Senthil Periaswamy, Jinbo Bi
2007	A*	`conf`	A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. AAAI Jinbo Bi, Tao Xiong
2007	C	`conf`	Automatic medical coding of patient records via weighted ridge regression. ICMLA Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao
2007	—	`conf`	Computer Aided Detection of Pulmonary Embolism with Tobogganing and Mutiple Instance Classification in CT Pulmonary Angiography. IPMI Jianming Liang, Jinbo Bi
2007	A*	`conf`	Joint Optimization of Cascaded Classifiers for Computer Aided Detection. CVPR Murat Dundar, Jinbo Bi
2007	A*	`conf`	Learning Classifiers When the Training Data Is Not IID. IJCAI Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao
2007	A*	`conf`	LungCAD: a clinically approved, machine learning system for lung cancer detection. KDD R. Bharat Rao, Jinbo Bi, Glenn Fung, Marcos Salganicoff, Nancy Obuchowski, David P. Naidich
2007	A*	`conf`	Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. CVPR Jinbo Bi, Jianming Liang
2007	A	`conf`	Probabilistic Joint Feature Selection for Multi-task Learning. SDM Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky
2007	—	`conf`	Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI. IPMI Anna K. Jerebko, Gerwin P. Schmidt, Xiang Sean Zhou, Jinbo Bi, Vikram Anand, Jiamin Liu, Stefan Schoenberg, Ingo Schmuecking, Berthold Kiefer, Arun Krishnan
2007	—	`conf`	Training a CAD classifier with correlated data. Computer-Aided Diagnosis Murat Dundar, Balaji Krishnapuram, Matthias Wolf, Sarang Lakare, Luca Bogoni, Jinbo Bi, R. Bharat Rao
2006	A*	`conf`	Active learning via transductive experimental design. ICML Kai Yu, Jinbo Bi, Volker Tresp
2006	A*	`conf`	Computer aided detection via asymmetric cascade of sparse hyperplane classifiers. KDD Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, R. Bharat Rao
2006	A	`conf`	Efficient model selection for regularized linear discriminant analysis. CIKM Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu
2006	J	`jnl`	MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Trans. Pattern Anal. Mach. Intell. Yixin Chen, Jinbo Bi, James Ze Wang
2006	J	`jnl`	On the medical frontier: the 2006 KDD Cup competition and results. SIGKDD Explor. Terran Lane, R. Bharat Rao, Jinbo Bi, Jianming Liang, Marcos Salganicoff
2005	—	`conf`	A Sparse Support Vector Machine Approach to Region-Based Image Categorization. CVPR (1) Jinbo Bi, Yixin Chen, James Ze Wang
2005	A*	`conf`	Semi-Supervised Mixture of Kernels via LPBoost Methods. ICDM Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
2005	A	`conf`	Sparse Fisher Discriminant Analysis for Computer Aided Detection. SDM Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao
2005	C	`conf`	Sparse classifiers for Automated HeartWall Motion Abnormality Detection. ICMLA Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz
2004	A*	`conf`	A fast iterative algorithm for fisher discriminant using heterogeneous kernels. ICML Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao
2004	A*	`conf`	Column-generation boosting methods for mixture of kernels. KDD Jinbo Bi, Tong Zhang, Kristin P. Bennett
2004	—	`conf`	Support Vector Classification with Input Data Uncertainty. NIPS Jinbo Bi, Tong Zhang
2003	J	`jnl`	A geometric approach to support vector regression. Neurocomputing Jinbo Bi, Kristin P. Bennett
2003	J	`jnl`	Dimensionality Reduction via Sparse Support Vector Machines. J. Mach. Learn. Res. Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman, Minghu Song
2003	A*	`conf`	Learning with Rigorous Support Vector Machines. COLT Jinbo Bi, Vladimir Vapnik
2003	A*	`conf`	Multi-Objective Programming in SVMs. ICML Jinbo Bi
2003	A*	`conf`	Regression Error Characteristic Curves. ICML Jinbo Bi, Kristin P. Bennett
2002	J	`jnl`	Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. Minghu Song, Curt M. Breneman, Jinbo Bi, Nagamani Sukumar, Kristin P. Bennett, Steven M. Cramer, Nihal Tugcu
2001	—	`conf`	Duality, Geometry, and Support Vector Regression. NIPS Jinbo Bi, Kristin P. Bennett