NhatHai Phan
Cited by
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Differential privacy preservation for deep auto-encoders: an application of human behavior prediction
NH Phan, Y Wang, X Wu, D Dou
Thirtieth AAAI Conference on Artificial Intelligence, 2016
Adaptive laplace mechanism: Differential privacy preservation in deep learning
NH Phan, X Wu, H Hu, D Dou
2017 IEEE international conference on data mining (ICDM), 385-394, 2017
Ontology-based deep learning for human behavior prediction with explanations in health social networks
N Phan, D Dou, H Wang, D Kil, B Piniewski
Information sciences 384, 298-313, 2017
Preserving differential privacy in convolutional deep belief networks
NH Phan, X Wu, D Dou
Machine learning 106 (9), 1681-1704, 2017
A 3D atrous convolutional long short-term memory network for background subtraction
Z Hu, T Turki, N Phan, JTL Wang
IEEE Access 6, 43450-43459, 2018
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks
NH Phan, D Dou, B Piniewski, D Kil
(ASONAM'15) The 2015 IEEE/ACM International Conference on Advances in Social …, 2015
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
NH Phan, MT Thai, H Hu, R Jin, T Sun, D Dou
[ICML'20] arXiv preprint arXiv:1903.09822, 2020
Enabling real-time drug abuse detection in tweets
N Phan, SA Chun, M Bhole, J Geller
2017 IEEE 33rd international conference on data engineering (ICDE), 1510-1514, 2017
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NH Phan, MN Vu, Y Liu, R Jin, D Dou, X Wu, MT Thai
IJCAI'19 Proceedings of the 28th International Joint Conference on …, 2019
Topic-aware Physical Activity Propagation in a Health Social Network
N Phan, D Dou, J Ebrahimi, D Kil, B Piniewski
IEEE Intelligent Systems, 2015
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+)
N Phan, D Dou, B Piniewski, D Kil
Social network analysis and mining 6 (1), 1-14, 2016
DPNE: Differentially private network embedding
D Xu, S Yuan, X Wu, HN Phan
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-246, 2018
Importance sketching of influence dynamics in billion-scale networks
HT Nguyen, TP Nguyen, NH Phan, TN Dinh
2017 IEEE International Conference on Data Mining (ICDM), 337-346, 2017
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
MN Vu, TD Nguyen, NH Phan, R Gera, MT Thai
IEEE BigData 2021, 2021
Extracting API tips from developer question and answer websites
S Wang, NH Phan, Y Wang, Y Zhao
2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019
GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects
P Nhat Hai, P Poncelet, M Teisseire
International Symposium on Intelligent Data Analysis, 276-288, 2012
Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets
H Hu, NH Phan, J Geller, H Vo, B Manasi, X Huang, S Di Lorio, T Dinh, ...
International Conference on Computational Data and Social Networks (CSoNet 2018), 2018
Dynamic socialized gaussian process models for human behavior prediction in a health social network
Y Shen, NH Phan, X Xiao, R Jin, J Sun, B Piniewski, D Kil, D Dou
Knowledge and information systems 49 (2), 455-479, 2016
Ontology-based Deep Learning for Human Behavior Prediction in Health Social Networks
NH Phan, D Dou, W Hao, D Kil, B Piniewski
(ACM BCB'15) The ACM Conference on Bioinformatics, Computational Biology …, 2015
All in one: mining multiple movement patterns
N Phan, P Poncelet, M Teisseire
International Journal of Information Technology & Decision Making 15 (05 …, 2016
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