Han Hu

According to our database, Han Hu authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

IEEE Trans. Mob. Comput., January, 2024

2022

OnML: an ontology-based approach for interpretable machine learning.

Pelin Ayranci, Phung Lai, NhatHai Phan, Han Hu, Alexander Kolinowski, David Newman, Deijing Dou

J. Comb. Optim., 2022

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning.

Phung Lai, Han Hu, Hai Phan, Ruoming Jin, My T. Thai, An M. Chen

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

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

Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An M. Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

CoRR, 2021

2020

Ontology-based Interpretable Machine Learning for Textual Data.

Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Scalable Differential Privacy with Certified Robustness in Adversarial Learning.

NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Preserving Differential Privacy in Adversarial Learning with Provable Robustness.

NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou

CoRR, 2019

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

Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

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

Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Scalable Self-taught Deep-Embedded Learning Framework for Drug Abuse Spatial Behaviors Detection.

Wuji Liu, Xinyue Ye, Hai Phan, Han Hu

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

2018

Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets.

Han Hu, Pranavi Moturu, Kannan Dharan, James Geller, Sophie Iorio, Hai Phan, Huy T. Vo, Soon Ae Chun

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

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

Han Hu, NhatHai Phan, James Geller, Huy T. Vo, Manasi Bhole, Xueqi Huang, Sophie Di Lorio, Thang Dinh, Soon Ae Chun

Proceedings of the Computational Data and Social Networks - 7th International Conference, 2018

2017

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.

NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017