| Differential privacy preservation for deep auto-encoders: an application of human behavior prediction NH Phan, Y Wang, X Wu, D Dou Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 298 | 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 | 224 | 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 | 112 | 2017 |
| Preserving differential privacy in convolutional deep belief networks NH Phan, X Wu, D Dou Machine learning 106 (9), 1681-1704, 2017 | 99 | 2017 |
| 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 | 65* | 2020 |
| 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 | 65 | 2018 |
| 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 | 58 | 2019 |
| DPNE: Differentially private network embedding D Xu, S Yuan, X Wu, HN Phan Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018 | 50 | 2018 |
| 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 | 49 | 2017 |
| 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 | 45 | 2015 |
| 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, 455-479, 2016 | 38 | 2016 |
| 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 | 33 | 2019 |
| 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 | 29* | 2021 |
| An ensemble deep learning model for drug abuse detection in sparse twitter-sphere H Hu, NH Phan, J Geller, S Iezzi, H Vo, D Dou, S Chun MEDINFO 2019: Health and Wellbeing e-Networks for All, 163-167, 2019 | 29 | 2019 |
| An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning H Hu, NH Phan, SA Chun, J Geller, H Vo, X Ye, R Jin, K Ding, D Kenne, ... Computational Social Networks 6, 1-19, 2019 | 28 | 2019 |
| 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 | 27 | 2017 |
| 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, 1-14, 2016 | 27 | 2016 |
| Topic-aware Physical Activity Propagation in a Health Social Network N Phan, D Dou, J Ebrahimi, D Kil, B Piniewski IEEE Intelligent Systems, 2015 | 26 | 2015 |
| 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 | 22 | 2018 |
| GeT_Move: An Efficient and Unifying Spatio-temporal Pattern Mining Algorithm for Moving Objects P Nhat Hai, P Poncelet, M Teisseire Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012 | 19 | 2012 |
Dejing Dou (窦德景）Chief Scientist, BEDI Cloud/Distinguished Professor, Fudan University在 cs.uoregon.edu 的电子邮件经过验证
