Qiuling Suo
Cited by
Cited by
Risk prediction on electronic health records with prior medical knowledge
F Ma, J Gao, Q Suo, Q You, J Zhou, A Zhang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Deep patient similarity learning for personalized healthcare
Q Suo, F Ma, Y Yuan, M Huai, W Zhong, J Gao, A Zhang
IEEE transactions on nanobioscience 17 (3), 219-227, 2018
Personalized disease prediction using a CNN-based similarity learning method
Q Suo, F Ma, Y Yuan, M Huai, W Zhong, A Zhang, J Gao
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
A novel channel-aware attention framework for multi-channel eeg seizure detection via multi-view deep learning
Y Yuan, G Xun, F Ma, Q Suo, H Xue, K Jia, A Zhang
2018 IEEE EMBS international conference on biomedical & health informatics …, 2018
A multi-task framework for monitoring health conditions via attention-based recurrent neural networks
Q Suo, F Ma, G Canino, J Gao, A Zhang, P Veltri, G Agostino
AMIA annual symposium proceedings 2017, 1665, 2017
Wave2vec: Deep representation learning for clinical temporal data
Y Yuan, G Xun, Q Suo, K Jia, A Zhang
Neurocomputing 324, 31-42, 2019
Tadanet: Task-adaptive network for graph-enriched meta-learning
Q Suo, J Chou, W Zhong, A Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Metric learning on healthcare data with incomplete modalities.
Q Suo, W Zhong, F Ma, Y Yuan, J Gao, A Zhang
IJCAI 3534, 3540, 2019
Recurrent imputation for multivariate time series with missing values
Q Suo, L Yao, G Xun, J Sun, A Zhang
2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019
Wave2vec: Learning deep representations for biosignals
Y Yuan, G Xun, Q Suo, K Jia, A Zhang
2017 IEEE International Conference on Data Mining (ICDM), 1159-1164, 2017
Improving task-free continual learning by distributionally robust memory evolution
Z Wang, L Shen, L Fang, Q Suo, T Duan, M Gao
International conference on machine learning, 22985-22998, 2022
Multi-task sparse metric learning for monitoring patient similarity progression
Q Suo, W Zhong, F Ma, Y Ye, M Huai, A Zhang
2018 IEEE International Conference on Data Mining (ICDM), 477-486, 2018
Heterogeneous spatio-temporal graph convolution network for traffic forecasting with missing values
W Zhong, Q Suo, X Jia, A Zhang, L Su
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
Uncorrelated patient similarity learning
M Huai, C Miao, Q Suo, Y Li, J Gao, A Zhang
Proceedings of the 2018 SIAM International Conference on Data Mining, 270-278, 2018
GLIMA: Global and local time series imputation with multi-directional attention learning
Q Suo, W Zhong, G Xun, J Sun, C Chen, A Zhang
2020 IEEE International Conference on Big Data (Big Data), 798-807, 2020
Risk factor analysis based on deep learning models
Q Suo, H Xue, J Gao, A Zhang
Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016
Meta-learning without data via wasserstein distributionally-robust model fusion
Z Wang, X Wang, L Shen, Q Suo, K Song, D Yu, Y Shen, M Gao
Uncertainty in Artificial Intelligence, 2045-2055, 2022
Meta learning on a sequence of imbalanced domains with difficulty awareness
Z Wang, T Duan, L Fang, Q Suo, M Gao
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Metric learning from probabilistic labels
M Huai, C Miao, Y Li, Q Suo, L Su, A Zhang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
A reliability-aware vehicular crowdsensing system for pothole profiling
W Zhong, Q Suo, F Ma, Y Hou, A Gupta, C Qiao, L Su
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019
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