| Adaptive graph convolutional neural networks R Li, S Wang, F Zhu, J Huang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 959 | 2018 |
| Graph CNN for survival analysis on whole slide pathological images R Li, J Yao, X Zhu, Y Li, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 199 | 2018 |
| Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays C Yan, J Yao, R Li, Z Xu, J Huang Proceedings of the 2018 ACM international conference on bioinformatics …, 2018 | 150 | 2018 |
| Hybrid maximum likelihood modulation classification using multiple radios O Ozdemir, R Li, PK Varshney IEEE Communications Letters 17 (10), 1889-1892, 2013 | 66 | 2013 |
| Fast regions-of-interest detection in whole slide histopathology images R Li, J Huang International Workshop on Patch-based Techniques in Medical Imaging, 120-127, 2015 | 21 | 2015 |
| Multi-frequency diffuse optical tomography for cancer detection C Chen, VC Kavuri, X Wang, R Li, H Liu, J Huang 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 67-70, 2015 | 21 | 2015 |
| Robust actor-critic contextual bandit for mobile health (mhealth) interventions F Zhu, J Guo, R Li, J Huang Proceedings of the 2018 acm international conference on bioinformatics …, 2018 | 19 | 2018 |
| Fast preconditioning for accelerated multi-contrast MRI reconstruction R Li, Y Li, R Fang, S Zhang, H Pan, J Huang International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 18 | 2015 |
| Learning graph while training: An evolving graph convolutional neural network R Li, J Huang arXiv preprint arXiv:1708.04675, 2017 | 16 | 2017 |
| Fast regions-of-interest detection in whole slide histopathology images J Huang, R Li Pathology-From Classics to Innovations, 2021 | 3 | 2021 |
| Modulation classification and parameter estimation in wireless networks R Li Syracuse University, 2012 | 3 | 2012 |
| Adaptive graph convolutional neural network and its biomedical applications J Huang, R Li State of the Art in Neural Networks and Their Applications, 105-132, 2023 | 1 | 2023 |
| Towards Co-Evolution of Random-Walk-Based Embedding and Label Propagation for Node Classification R Zhao, S Liu, W Rao, H Xu, C Na, R Li 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2020 | 1 | 2020 |
| Adaptive Graph Convolutional Neural Network and its Biomedical Applications R Li The University of Texas at Arlington, 2020 | | 2020 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at ArlingtonVerified email at uta.edu