| Measuring patient similarities via a deep architecture with medical concept embedding Z Zhu, C Yin, B Qian, Y Cheng, J Wei, F Wang 2016 IEEE 16th International Conference on Data Mining (ICDM), 749-758, 2016 | 164 | 2016 |
| Visual cluster exploration of web clickstream data J Wei, Z Shen, N Sundaresan, KL Ma 2012 IEEE conference on visual analytics science and technology (VAST), 3-12, 2012 | 126 | 2012 |
| Automatic generation of medical imaging diagnostic report with hierarchical recurrent neural network C Yin, B Qian, J Wei, X Li, X Zhang, Y Li, Q Zheng 2019 IEEE international conference on data mining (ICDM), 728-737, 2019 | 116 | 2019 |
| Deep similarity-based batch mode active learning with exploration-exploitation C Yin, B Qian, S Cao, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE international conference on data mining (ICDM), 575-584, 2017 | 80 | 2017 |
| Visual analysis of massive web session data Z Shen, J Wei, N Sundaresan, KL Ma IEEE symposium on large data analysis and visualization (LDAV), 65-72, 2012 | 61 | 2012 |
| A sketch-based interface for classifying and visualizing vector fields J Wei, C Wang, H Yu, KL Ma 2010 IEEE Pacific Visualization Symposium (PacificVis), 129-136, 2010 | 53 | 2010 |
| Low-rank sparse feature selection for patient similarity learning M Zhan, S Cao, B Qian, S Chang, J Wei 2016 IEEE 16th International Conference on Data Mining (ICDM), 1335-1340, 2016 | 34 | 2016 |
| ICP with bounded scale for registration of mD point sets S Du, N Zheng, S Ying, J Wei 2007 IEEE International Conference on Multimedia and Expo, 1291-1294, 2007 | 33 | 2007 |
| Classify EEG and reveal latent graph structure with spatio-temporal graph convolutional neural network X Li, B Qian, J Wei, A Li, X Liu, Q Zheng 2019 IEEE International Conference on Data Mining (ICDM), 389-398, 2019 | 31 | 2019 |
| Dual space analysis of turbulent combustion particle data J Wei, H Yu, RW Grout, JH Chen, KL Ma 2011 IEEE Pacific Visualization Symposium, 91-98, 2011 | 28 | 2011 |
| HP Omnicept cognitive load database (HPO-CLD)–developing a multimodal inference engine for detecting real-time mental workload in VR EH Siegel, J Wei, A Gomes, M Oliviera, P Sundaramoorthy, K Smathers, ... HP Labs, 2021 | 27 | 2021 |
| Group dynamics in scientific visualization S Ozer, J Wei, D Silver, KL Ma, P Martin IEEE symposium on large data analysis and visualization (LDAV), 97-104, 2012 | 24 | 2012 |
| Visual analysis of particle behaviors to understand combustion simulations J Wei, H Yu, R Grout, J Chen, KL Ma IEEE Computer Graphics and Applications 32 (1), 22-33, 2011 | 24 | 2011 |
| Parallel clustering for visualizing large scientific line data J Wei, H Yu, JH Chen, KL Ma 2011 IEEE Symposium on Large Data Analysis and Visualization, 47-55, 2011 | 22 | 2011 |
| An interpretable fast model for predicting the risk of heart failure X Zhang, B Qian, X Li, J Wei, Y Zheng, L Song, Q Zheng Proceedings of the 2019 SIAM International Conference on Data Mining, 576-584, 2019 | 20 | 2019 |
| Bat: Beat-aligned transformer for electrocardiogram classification X Li, C Li, Y Wei, Y Sun, J Wei, X Li, B Qian 2021 IEEE International Conference on Data Mining (ICDM), 320-329, 2021 | 19 | 2021 |
| Knowledge guided short-text classification for healthcare applications S Cao, B Qian, C Yin, X Li, J Wei, Q Zheng, I Davidson 2017 IEEE International Conference on Data Mining (ICDM), 31-40, 2017 | 15 | 2017 |
| Collaboration with 3D data visualizations GW Cook, CP Hsiao, J Wei, M Vankipuram US Patent 10,359,905, 2019 | 14 | 2019 |
| Visual mining of user behavior patterns Z Shen, N Sundaresan, J Wei US Patent 10,037,121, 2018 | 14 | 2018 |
| Domain knowledge guided deep atrial fibrillation classification and its visual interpretation X Li, B Qian, J Wei, X Zhang, S Chen, Q Zheng Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
