NhatHai Phan

发表

Interaction Network Representations for Human Behavior Prediction

Dejing Dou, Amnay Amimeur, NhatHai Phan, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Characterizing Physical Activity in a Health Social Network

Dejing Dou, NhatHai Phan, David Kil, 2016, Digital Health.

Ontology-based deep learning for human behavior prediction with explanations in health social networks

Hao Wang, Dejing Dou, NhatHai Phan, 2017, Inf. Sci..

Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

Yang Liu, Ruoming Jin, My T. Thai, 2019, IJCAI.

Topic-Aware Physical Activity Propagation in a Health Social Network

Dejing Dou, NhatHai Phan, David Kil, 2016, IEEE Intelligent Systems.

All in One: Mining Multiple Movement Patterns

Maguelonne Teisseire, Pascal Poncelet, NhatHai Phan, 2016, Int. J. Inf. Technol. Decis. Mak..

A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+)

Dejing Dou, NhatHai Phan, David Kil, 2016, Social Network Analysis and Mining.

Preserving differential privacy in convolutional deep belief networks

Dejing Dou, Xintao Wu, NhatHai Phan, 2017, Machine Learning.

Social restricted Boltzmann Machine: Human behavior prediction in health social networks

Dejing Dou, NhatHai Phan, David Kil, 2015, 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Dynamic socialized Gaussian process models for human behavior prediction in a health social network

Yelong Shen, Ruoming Jin, Dejing Dou, 2016, Knowledge and Information Systems.

An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning

Soon Ae Chun, James Geller, Ruoming Jin, 2019, Computational Social Networks.

Preserving Differential Privacy in Adversarial Learning with Provable Robustness pdf

Ruoming Jin, My T. Thai, Dejing Dou, 2019, ArXiv.

Mining Object Movement Patterns from Trajectory Data. (Une approche unifiée pour extraire des motifs à partir de données de trajectoires)

NhatHai Phan, 2013 .

Time-Sensitive Behavior Prediction in a Health Social Network

Dejing Dou, Amnay Amimeur, NhatHai Phan, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Importance Sketching of Influence Dynamics in Billion-Scale Networks

Hung T. Nguyen, Thang N. Dinh, NhatHai Phan, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Ontology-based Interpretable Machine Learning for Textual Data

Dejing Dou, Han Hu, NhatHai Phan, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation

My T. Thai, Ralucca Gera, NhatHai Phan, 2019 .

Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets

Soon Ae Chun, James Geller, Han Hu, 2018, CSoNet.

Evaluating Explainers via Perturbation pdf

My T. Thai, Ralucca Gera, NhatHai Phan, 2019, ArXiv.

An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere

Soon Ae Chun, James Geller, Dejing Dou, 2019, MedInfo.

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Dejing Dou, Han Hu, Xintao Wu, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

JGetMove: Mining Multiple Movement Patterns

Maguelonne Teisseire, Fati Chen, Pascal Poncelet, 2019 .

DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper)

Ruoming Jin, Huy T. Vo, Xinyue Ye, 2019, SIGSPATIAL/GIS.

Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction

Dejing Dou, Xintao Wu, NhatHai Phan, 2016, AAAI.

Extracting API Tips from Developer Question and Answer Websites

Shaohua Wang, Yan Wang, NhatHai Phan, 2019, 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR).

Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network

Dejing Dou, NhatHai Phan, David Kil, 2016, ACM Trans. Intell. Syst. Technol..

Analysis of Physical Activity Propagation in a Health Social Network

Dejing Dou, Xiao Xiao, NhatHai Phan, 2014, CIKM.

Mining Multi-Relational Gradual Patterns

Maguelonne Teisseire, Donato Malerba, Dino Ienco, 2015, SDM.

Ontology-based deep learning for human behavior prediction in health social networks

Hao Wang, Dejing Dou, NhatHai Phan, 2015, BCB.

Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network

Dejing Dou, NhatHai Phan, David Kil, 2021, CSoNet.

A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples

Issa M. Khalil, Abdallah Khreishah, Issa Khalil, 2021, 2021 IEEE International Conference on Big Data (Big Data).

FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps pdf

Cristian Borcea, NhatHai Phan, Adriaan Larmuseau, 2021, ArXiv.

Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning pdf

Abdallah Khreishah, Issa Khalil, NhatHai Phan, 2022, ArXiv.

Continual Learning with Differential Privacy pdf

My T. Thai, NhatHai Phan, Phung Lai, 2021, ICONIP.

c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation

My T. Thai, Ralucca Gera, NhatHai Phan, 2021, 2021 IEEE International Conference on Big Data (Big Data).