Hai Phan
Education
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
M.S.; Konkuk University; Computer Science And Engineering; 2010
B.S.; HCM City University of Technology; Computer Science And Engineering; 2008
2023 Spring Courses
IS 488 - INDEPENDENT STUDY IN INFO
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 700B - MASTER'S PROJECT
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
IS 792 - PRE-DOCTORAL RESEARCH
IS 688 - WEB MINING
IS 726 - INDEPENDENT STUDY II
IS 790A - DOCT DISSERTATION & RES
IS 725 - INDEPENDENT STUDY I
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 700B - MASTER'S PROJECT
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
IS 792 - PRE-DOCTORAL RESEARCH
IS 688 - WEB MINING
IS 726 - INDEPENDENT STUDY II
IS 790A - DOCT DISSERTATION & RES
IS 725 - INDEPENDENT STUDY I
Past Courses
IS 333: SOCIAL NETWORK ANALYSIS
IS 665: DATA ANALYTICS FOR INFO SYSTEM
IS 688: WEB MINING
IS 698: EMERGING TOPICS IN DEEP LEARNING - ARTIFICIAL INTELLIGENCE
IS 665: DATA ANALYTICS FOR INFO SYSTEM
IS 688: WEB MINING
IS 698: EMERGING TOPICS IN DEEP LEARNING - ARTIFICIAL INTELLIGENCE
Conference Paper
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
August 2022
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
December 2021
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
December 2021
Continual Learning with Differential Privacy
December 2021
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network
November 2021
August 2022
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
December 2021
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation
December 2021
Continual Learning with Differential Privacy
December 2021
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network
November 2021
Journal Article
Phan, Hai, & Bandera, Cesar (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.
Ayranci, Pelin, & Bandera, Cesar, & Phan, Hai, & Jin, Ruoming, & Li, Dong, & Kenne, Deric (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, 19(12),
Phan, Hai (2022). OnML: An Ontology-based Approach for Interpretable Machine Learning.
Liu, Guanxiong, & Khalil, Issa, & Khreishah, Abdallah, & Phan, Hai (2020). Trojans and Adversarial Examples: A Lethal Combination.
Liu, Guanxiong, & Khalil, Issa, & Khreishah, Abdallah, & Phan, Hai (2020). Trojans and Adversarial Examples: A Lethal Combination.
Ayranci, Pelin, & Bandera, Cesar, & Phan, Hai, & Jin, Ruoming, & Li, Dong, & Kenne, Deric (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, 19(12),
Phan, Hai (2022). OnML: An Ontology-based Approach for Interpretable Machine Learning.
Liu, Guanxiong, & Khalil, Issa, & Khreishah, Abdallah, & Phan, Hai (2020). Trojans and Adversarial Examples: A Lethal Combination.
Liu, Guanxiong, & Khalil, Issa, & Khreishah, Abdallah, & Phan, Hai (2020). Trojans and Adversarial Examples: A Lethal Combination.
SHOW MORE
Liu, S, & Shih, Frank, & Russell, Gareth, & Phan, Hai (2020). Classification of ecological data by deep learning. Pattern Recognition and Artificial Intelligence, 34(13), 2052010 .
Hu, Han, & Phan, Hai, & Chun, Soon, & Geller, James, & Vo, Huy, & Ye, Xinyue, & Jin, Ruoming, & Ding, Kele, & Kenne, Deric, & Dou, Dejing (2019). An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks, 6(1), 10.
Phan, Hai (2017). Preserving Differential Privacy in Convolutional Deep Belief Networks. Machine Learning, 106(9-10), 1681–1704.
Hu, Han, & Phan, Hai, & Chun, Soon, & Geller, James, & Vo, Huy, & Ye, Xinyue, & Jin, Ruoming, & Ding, Kele, & Kenne, Deric, & Dou, Dejing (2019). An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks, 6(1), 10.
Phan, Hai (2017). Preserving Differential Privacy in Convolutional Deep Belief Networks. Machine Learning, 106(9-10), 1681–1704.
COLLAPSE
Conference Proceeding
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
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