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Ruoyu Li
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Adaptive graph convolutional neural networks
R Li, S Wang, F Zhu, J Huang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
7932018
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
1522018
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
1292018
Hybrid maximum likelihood modulation classification using multiple radios
O Ozdemir, R Li, PK Varshney
IEEE Communications Letters 17 (10), 1889-1892, 2013
572013
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
192015
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
182015
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
182015
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
162018
Learning graph while training: An evolving graph convolutional neural network
R Li, J Huang
arXiv preprint arXiv:1708.04675, 2017
162017
Fast regions-of-interest detection in whole slide histopathology images
J Huang, R Li
Pathology-From Classics to Innovations, 2021
32021
Modulation classification and parameter estimation in wireless networks
R Li
Syracuse University, 2012
32012
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
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
2020
Adaptive Graph Convolutional Neural Network and Its Biomedical Applications
R Li
The University of Texas at Arlington, 2020
2020
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