Bi, Jinbo

37 publications

ICLR 2023 Auto-Encoding Goodness of Fit Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi

IJCAI 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

NeurIPS 2023 Polyhedron Attention Module: Learning Adaptive-Order Interactions Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi

IJCAI 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

AAAI 2021 An Efficient Algorithm for Deep Stochastic Contextual Bandits Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

AAAI 2021 Differentially Private and Communication Efficient Collaborative Learning Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

ICLR 2021 Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang, Jie Chen, Jinbo Bi

ICML 2021 Spectral Vertex Sparsifiers and Pair-Wise Spanners over Distributed Graphs Chunjiang Zhu, Qinqing Liu, Jinbo Bi

AAAI 2020 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi

AAAI 2019 Communication-Optimal Distributed Dynamic Graph Clustering Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi

AAAI 2019 End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

ICML 2019 Improved Dynamic Graph Learning Through Fault-Tolerant Sparsification Chunjiang Zhu, Sabine Storandt, Kam-Yiu Lam, Song Han, Jinbo Bi

AAAI 2018 Latent Sparse Modeling of Longitudinal Multi-Dimensional Data Ko-Shin Chen, Tingyang Xu, Jinbo Bi

UAI 2018 Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing Aaron Palmer, Dipak K. Dey, Jinbo Bi

NeurIPS 2016 A Sparse Interactive Model for Matrix Completion with Side Information Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi

JMLR 2016 Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song

ICML 2015 Multi-View Sparse Co-Clustering via Proximal Alternating Linearized Minimization Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi

NeurIPS 2014 On Multiplicative Multitask Feature Learning Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun

CVPR 2011 AdaBoost on Low-Rank PSD Matrices for Metric Learning Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf

CVPR 2011 Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff

CVPR 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

CVPR 2009 A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis Dijia Wu, Jinbo Bi, Kim L. Boyer

ICCV 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

ECML-PKDD 2008 An Improved Multi-Task Learning Approach with Applications in Medical Diagnosis Jinbo Bi, Tao Xiong, Shipeng Yu, Murat Dundar, R. Bharat Rao

ICML 2008 Bayesian Multiple Instance Learning: Automatic Feature Selection and Inductive Transfer Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao

CVPRW 2008 Stratified Regularity Measures with Jensen-Shannon Divergence Kazunori Okada, Senthil Periaswamy, Jinbo Bi

AAAI 2007 A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis Jinbo Bi, Tao Xiong

CVPR 2007 Joint Optimization of Cascaded Classifiers for Computer Aided Detection Murat Dundar, Jinbo Bi

IJCAI 2007 Learning Classifiers When the Training Data Is Not IID Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao

CVPR 2007 Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance Along Vascular Structure Jinbo Bi, Jianming Liang

ICML 2006 Active Learning via Transductive Experimental Design Kai Yu, Jinbo Bi, Volker Tresp

CVPR 2005 A Sparse Support Vector Machine Approach to Region-Based Image Categorization Jinbo Bi, Yixin Chen, James Ze Wang

ICML 2004 A Fast Iterative Algorithm for Fisher Discriminant Using Heterogeneous Kernels Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao

NeurIPS 2004 Support Vector Classification with Input Data Uncertainty Jinbo Bi, Tong Zhang

COLT 2003 Learning with Rigorous Support Vector Machines Jinbo Bi, Vladimir Vapnik

ICML 2003 Multi-Objective Programming in SVMs Jinbo Bi

ICML 2003 Regression Error Characteristic Curves Jinbo Bi, Kristin P. Bennett