Mengdi Huai
Title
Cited by
Cited by
Year
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
402017
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
302018
Representation learning for treatment effect estimation from observational data
L Yao, S Li, Y Li, M Huai, J Gao, A Zhang
Advances in Neural Information Processing Systems, 2633-2643, 2018
302018
Towards data poisoning attacks in crowd sensing systems
C Miao, Q Li, H Xiao, W Jiang, M Huai, L Su
Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc …, 2018
222018
Attack under disguise: An intelligent data poisoning attack mechanism in crowdsourcing
C Miao, Q Li, L Su, M Huai, W Jiang, J Gao
Proceedings of the 2018 World Wide Web Conference, 13-22, 2018
142018
Privacy-preserving naive bayes classification
M Huai, L Huang, W Yang, L Li, M Qi
International conference on knowledge science, engineering and management …, 2015
142015
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
132018
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
122018
Differentially private sparse inverse covariance estimation
D Wang, M Huai, J Xu
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
82018
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
82018
Efficient privacy-preserving aggregation for mobile crowdsensing
M Huai, L Huang, Y Sun, W Yang
2015 IEEE Fifth International Conference on Big Data and Cloud Computing …, 2015
82015
Dtec: Distance transformation based early time series classification
L Yao, Y Li, Y Li, H Zhang, M Huai, J Gao, A Zhang
Proceedings of the 2019 SIAM International Conference on Data Mining, 486-494, 2019
62019
Capture expression-dependent au relations for expression recognition
J Wang, S Wang, M Huai, C Wu, Z Gao, Y Liu, Q Ji
2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2014
42014
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.
M Huai, H Xue, C Miao, L Yao, L Su, C Chen, A Zhang
IJCAI, 2535-2541, 2019
32019
Ace: Adaptively similarity-preserved representation learning for individual treatment effect estimation
L Yao, S Li, Y Li, M Huai, J Gao, A Zhang
2019 IEEE International Conference on Data Mining (ICDM), 1432-1437, 2019
22019
Privacy-aware Synthesizing for Crowdsourced Data.
M Huai, D Wang, C Miao, J Xu, A Zhang
IJCAI, 2542-2548, 2019
22019
Malicious Attacks against Deep Reinforcement Learning Interpretations
M Huai, J Sun, R Cai, L Yao, A Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
2020
Learning Distance Metrics from Probabilistic Information
M Huai, C Miao, Y Li, Q Suo, L Su, A Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-33, 2020
2020
Pairwise Learning with Differential Privacy Guarantees
M Huai, D Wang, C Miao, J Xu, A Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 694-701, 2020
2020
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.
J Liu, J Ji, G Xun, L Yao, M Huai, A Zhang
AAAI, 4852-4859, 2020
2020
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