| Pulmonary nodule classification with deep residual networks A Nibali, Z He, D Wollersheim International journal of computer assisted radiology and surgery 12, 1799-1808, 2017 | 292 | 2017 |
| Numerical coordinate regression with convolutional neural networks A Nibali, Z He, S Morgan, L Prendergast arXiv preprint arXiv:1801.07372, 2018 | 272 | 2018 |
| The effectiveness of adaptive difficulty adjustments on students' motivation and learning in an educational computer game S Sampayo-Vargas, CJ Cope, Z He, GJ Byrne Computers & Education 69, 452-462, 2013 | 214 | 2013 |
| 3d human pose estimation with 2d marginal heatmaps A Nibali, Z He, S Morgan, L Prendergast 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1477-1485, 2019 | 124 | 2019 |
| Distributed training of deep learning models: A taxonomic perspective M Langer, Z He, W Rahayu, Y Xue IEEE Transactions on Parallel and Distributed Systems 31 (12), 2802-2818, 2020 | 97 | 2020 |
| Semi-supervised learning for medical image classification using imbalanced training data T Huynh, A Nibali, Z He Computer methods and programs in biomedicine 216, 106628, 2022 | 74 | 2022 |
| Top-k most influential locations selection J Huang, Z Wen, J Qi, R Zhang, J Chen, Z He Proceedings of the 20th ACM international conference on Information and …, 2011 | 74 | 2011 |
| Aggregation in sensor networks with a user-provided quality of service goal Z He, BS Lee, XS Wang Information Sciences 178 (9), 2128-2149, 2008 | 69 | 2008 |
| Trajic: An effective compression system for trajectory data A Nibali, Z He IEEE Transactions on Knowledge and Data Engineering 27 (11), 3138-3151, 2015 | 60 | 2015 |
| Continuous video to simple signals for swimming stroke detection with convolutional neural networks B Victor, Z He, S Morgan, D Miniutti Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 40 | 2017 |
| Boosting moving object indexing through velocity partitioning T Nguyen, Z He, R Zhang, P Ward arXiv preprint arXiv:1205.6697, 2012 | 40 | 2012 |
| Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning RT Furbank, V Silva-Perez, JR Evans, AG Condon, GM Estavillo, W He, ... Plant Methods 17, 1-15, 2021 | 38 | 2021 |
| The safest path via safe zones S Aljubayrin, J Qi, CS Jensen, R Zhang, Z He, Z Wen 2015 IEEE 31st International Conference on Data Engineering, 531-542, 2015 | 37 | 2015 |
| MPCA SGD—a method for distributed training of deep learning models on spark M Langer, A Hall, Z He, W Rahayu IEEE Transactions on Parallel and Distributed Systems 29 (11), 2540-2556, 2018 | 34 | 2018 |
| Self-tuning cost modeling of user-defined functions in an object-relational DBMS Z He, BS Lee, R Snapp ACM Transactions on Database Systems (TODS) 30 (3), 812-853, 2005 | 32 | 2005 |
| Real-time continuous intersection joins over large sets of moving objects using graphic processing units PGD Ward, Z He, R Zhang, J Qi The VLDB Journal 23, 965-985, 2014 | 31 | 2014 |
| Extraction and classification of diving clips from continuous video footage A Nibali, Z He, S Morgan, D Greenwood Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 25 | 2017 |
| Compressed histograms with arbitrary bucket layouts for selectivity estimation D Fuchs, Z He, BS Lee Information Sciences 177 (3), 680-702, 2007 | 25 | 2007 |
| Mining partial periodic correlations in time series Z He, XS Wang, BS Lee, ACH Ling Knowledge and Information systems 15, 31-54, 2008 | 23 | 2008 |
| Pose is all you need: The pose only group activity recognition system (pogars) H Thilakarathne, A Nibali, Z He, S Morgan Machine Vision and Applications 33 (6), 95, 2022 | 22 | 2022 |
Byung Suk LeeProfessor of Computer Science, University of VermontVerified email at uvm.edu
