Hai Phan

Ph.D.; CNRS, University Motpellier 2; Computer Science And Engineering; 2013

M.S.; Konkuk University; Computer Science And Engineering; 2010

B.S.; HCM City University of Technology; Computer Science And Engineering; 2008

DS 790A - DOCT DISSERTATION & RES

IS 488 - INDEPENDENT STUDY IN INFO

DS 700B - MASTER'S PROJECT

IS 489 - INFO UNDERGRAD THESIS RESEARCH

IS 700B - MASTER'S PROJECT

IS 701B - MASTER'S THESIS

IS 776 - IS RESEARCH STUDY

DS 725 - INDEPENDENT STUDY I

IS 792 - PRE-DOCTORAL RESEARCH

DS 701B - MASTER'S THESIS

IS 726 - INDEPENDENT STUDY II

DS 726 - INDEPENDENT STUDY II

DS 791 - GRADUATE SEMINAR

DS 792B - PRE-DOCTORAL RESEARCH

IS 790A - DOCT DISSERTATION & RES

IS 725 - INDEPENDENT STUDY I

CS 700B - MASTER'S PROJECT

DS 677 - DEEP LEARNING

Xiaopeng Jiang, Han Hu, Thinh On, Phung Lai, Vijaya Mayyuri, An Chen, Devu Shila, Adriaan Larmuseau, Ruoming Jin, Cristian M. Borcea, Hai Nhat Phan. 2024. “FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps.” IEEE Transactions on Mobile Computing (IEEE TMC).

Jianfeng Zhu, Ruoming Jin, Neha Yalamanchi, Deric Kenne, Hai Nhat Phan. 2023. “Exploring COVID-19’s Impact on Mental Health: A Longitudinal and Thematic Analysis of Reddit Users’ Discourse.” Journal of Medical Internet Research.

Pelin Ayranci, Cesar Bandera, Hai Nhat Phan, Derik Kenne, Ruoming Jin, Dong Li. 2022. “Distinguishing the Effect of Time Spent at Home During COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone Geolocation.” International Journal of Environmental Research and Public Health, vol. 19, no. 12.

Hai Nhat Phan, Cesar Bandera. 2022. “Distinguishing the Effect of Time Spent at Home During COVID-19 Pandemic on the Mental Health of Urban and Suburban College Students Using Cell Phone Geolocation.” .

Hai Nhat Phan. 2022. “OnML: An Ontology-based Approach for Interpretable Machine Learning.” .

“How to Backdoor HyperNetwork in Personalized Federated Learning?”
NeurIPS 2023 - Backdoor in Deep Learning, December 2023.

“Differential Privacy in HyperNetworks for Personalized Federated Learning”
The 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM 2023), July (3rd Quarter/Summer) 2023.

“Active Membership Inference Attack under Local Differential Privacy in Federated Learning”
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), April (2nd Quarter/Spring) 2023.

“XRand: Differentially Private Defense against Explanation-Guided Attacks”
AAAI Conference on Artificial Intelligence (AAAI 2023), February 2023.

“Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks”
IEEE BigData 2022, December 2022.

“How to Backdoor HyperNetwork in Personalized Federated Learning?”
2023.

“Zone-based Federated Learning for Mobile Sensing Data”
The 21st IEEE International Conference on Pervasive Computing and Communications (PerCom 2023), March 2023.

“An ensemble deep learning model for drug abuse detection in sparse twitter-sphere”
MEDINFO, August 2019.

“Classification of ecological data using deep learning methods”
Global Conference on Biomedical Engineering, November 2018.

“Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets”
International Conference on Health Informatics, June 2018.

“Enabling Real-Time Drug Abuse Detection in Tweets”
Proceedings of ICDE/HDMM, April (2nd Quarter/Spring) 2017.