| 2026 | AAAI | VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing. | Peining Zhang, Jinbo Bi, Minghu Song |
| 2025 | CHASE | Smartphone Data Gathered Early in Depression Treatment Predicts Treatment Outcome. | Soumyashree Sahoo, Md. Zakir Hossain, Chinmaey Shende, Parit Patel, Xinyu Wang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang |
| 2025 | CIKM | Adversarially Attacking Graph Properties and Sparsification in Graph Learning. | Chunjiang Zhu, Blake Gaines, Jing Deng, Jinbo Bi |
| 2025 | ICCV | LOCAL: Latent Orthonormal Contrastive Learning for Paired Image Classification. | Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi |
| 2025 | IJCNN | Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. | Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar |
| 2024 | CHASE | Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. | Soumyashree Sahoo, Chinmaey Shende, Md. Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang |
| 2023 | ICLR | Auto-Encoding Goodness of Fit. | Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi |
| 2023 | IJCAI | 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 |
| 2022 | DAC | 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 |
| 2021 | AAAI | Differentially Private and Communication Efficient Collaborative Learning. | Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan |
| 2021 | AAAI | An Efficient Algorithm for Deep Stochastic Contextual Bandits. | Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi |
| 2021 | ICCAD | 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 |
| 2021 | ICLR | Discrete Graph Structure Learning for Forecasting Multiple Time Series. | Chao Shang, Jie Chen, Jinbo Bi |
| 2021 | ICML | Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. | Chunjiang Zhu, Qinqing Liu, Jinbo Bi |
| 2021 | IJCAI | 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 |
| 2021 | SIGIR | Communication Efficient Distributed Hypergraph Clustering. | Chun Jiang Zhu, Qinqing Liu, Jinbo Bi |
| 2020 | AAAI | An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. | Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi |
| 2020 | CIKM | Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. | Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan |
| 2020 | ICDM | Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. | Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi |
| 2020 | IJCNN | Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. | Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran |
| 2019 | AAAI | End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. | Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou |
| 2019 | AAAI | Communication-Optimal Distributed Dynamic Graph Clustering. | Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi |
| 2019 | ICML | Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. | Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi |
| 2018 | AAAI | Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. | Ko-Shin Chen, Tingyang Xu, Jinbo Bi |
| 2018 | MASS | 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 |
| 2018 | UAI | Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. | Aaron Palmer, Dipak K. Dey, Jinbo Bi |
| 2017 | CHASE | Gait-Based Continuous Authentication Using Multimodal Learning. | Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han |
| 2017 | CHASE | Classification of Neurological Gait Disorders Using Multi-task Feature Learning. | Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han |
| 2017 | UIC | 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 |
| 2016 | CHASE | 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 |
| 2015 | ICML | Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. | Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi |
| 2015 | KDD | Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. | Tingyang Xu, Jiangwen Sun, Jinbo Bi |
| 2013 | KDD | Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. | Jiangwen Sun, Jinbo Bi, Henry R. Kranzler |
| 2011 | CVPR | AdaBoost on low-rank PSD matrices for metric learning. | Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf |
| 2011 | CVPR | Effective 3D object detection and regression using probabilistic segmentation features in CT images. | Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff |
| 2011 | MICCAI | 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 |
| 2010 | CVPR | 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 |
| 2010 | MICCAI | 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 |
| 2009 | CVPR | A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. | Dijia Wu, Jinbo Bi, Kim L. Boyer |
| 2009 | ICCV | 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 |
| 2009 | MICCAI | A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. | Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff |
| 2008 | CVPR | Stratified regularity measures with Jensen-Shannon divergence. | Kazunori Okada, Senthil Periaswamy, Jinbo Bi |
| 2008 | ICML | Bayesian multiple instance learning: automatic feature selection and inductive transfer. | Vikas C. Raykar, Balaji Krishnapuram, Jinbo Bi, Murat Dundar, R. Bharat Rao |
| 2008 | IJCNLP | Large Scale Diagnostic Code Classification for Medical Patient Records. | Lucian Vlad Lita, Shipeng Yu, Radu Stefan Niculescu, Jinbo Bi |
| 2007 | AAAI | A Mathematical Programming Formulation for Sparse Collaborative Computer Aided Diagnosis. | Jinbo Bi, Tao Xiong |
| 2007 | CVPR | Multiple Instance Learning of Pulmonary Embolism Detection with Geodesic Distance along Vascular Structure. | Jinbo Bi, Jianming Liang |
| 2007 | CVPR | Joint Optimization of Cascaded Classifiers for Computer Aided Detection. | Murat Dundar, Jinbo Bi |
| 2007 | ICMLA | 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 |
| 2007 | IJCAI | Learning Classifiers When the Training Data Is Not IID. | Murat Dundar, Balaji Krishnapuram, Jinbo Bi, R. Bharat Rao |
| 2007 | KDD | 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 |
| 2007 | SDM | Probabilistic Joint Feature Selection for Multi-task Learning. | Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherkassky |
| 2006 | CIKM | Efficient model selection for regularized linear discriminant analysis. | Jieping Ye, Tao Xiong, Qi Li, Ravi Janardan, Jinbo Bi, Vladimir Cherkassky, Chandra Kambhamettu |
| 2006 | ICML | Active learning via transductive experimental design. | Kai Yu, Jinbo Bi, Volker Tresp |
| 2006 | KDD | 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 |
| 2005 | CVPR | A Sparse Support Vector Machine Approach to Region-Based Image Categorization. | Jinbo Bi, Yixin Chen, James Ze Wang |
| 2005 | ICDM | Semi-Supervised Mixture of Kernels via LPBoost Methods. | Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao |
| 2005 | ICMLA | Sparse classifiers for Automated HeartWall Motion Abnormality Detection. | Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz |
| 2005 | SDM | Sparse Fisher Discriminant Analysis for Computer Aided Detection. | Murat Dundar, Glenn Fung, Jinbo Bi, Sathyakama Sandilya, R. Bharat Rao |
| 2004 | ICML | A fast iterative algorithm for fisher discriminant using heterogeneous kernels. | Glenn Fung, Murat Dundar, Jinbo Bi, R. Bharat Rao |
| 2004 | KDD | Column-generation boosting methods for mixture of kernels. | Jinbo Bi, Tong Zhang, Kristin P. Bennett |
| 2003 | COLT | Learning with Rigorous Support Vector Machines. | Jinbo Bi, Vladimir Vapnik |
| 2003 | ICML | Multi-Objective Programming in SVMs. | Jinbo Bi |
| 2003 | ICML | Regression Error Characteristic Curves. | Jinbo Bi, Kristin P. Bennett |