Area of research
Artificial Intelligence · Information Systems
Research interest
Research interests include Advanced Graph Neural Networks, Topic Modeling, Spam and Phishing Detection, and Complex Network Analysis Techniques.
RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract)
Graph Representation Learning
The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021)
Heterogeneous Graph Attention Network
Temporal Network Embedding with Micro- and Macro-dynamics
Collaborative Research: III: Small: Data-driven and AI-powered Innovations for Tackling the Nexus of Poverty-driven Food Insecurity and the Opioid Crisis
SCC-IRG Track 1: A New AI-driven Paradigm to Promote Community Resilience for Teenagers and Young Adults in Preventing Opioid Misuse and Addiction
III: Small: A New Machine Learning Paradigm Towards Effective yet Efficient Foundation Graph Learning Models
EAGER: A New Explainable Multi-objective Learning Framework for Personalized Dietary Recommendations against Opioid Misuse and Addiction
D-ISN: An AI-augmented Framework to Detect, Disrupt, and Dismantle Opioid Trafficking Networks
III: Medium: A Data-driven and AI-augmented Framework for Collaborative Decision Making to Combat Infectious Disease Outbreaks
III: Medium: A Data-driven and AI-augmented Framework for Collaborative Decision Making to Combat Infectious Disease Outbreaks
CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
CICI: SSC: SciTrust: Enhancing Security for Modern Software Programming Cyberinfrastructure
III: Small: Mining Heterogeneous Network Built from Multiple Data Sources to Reduce Opioid Overdose Risks
EAGER: An AI-driven Paradigm for Collective and Collaborative Community Resilience in the COVID-19 Era and Beyond
EAGER: A Holistic Heterogeneous Temporal Graph Transformer Framework with Meta-learning to Combat Opioid Epidemic
EAGER: A Holistic Heterogeneous Temporal Graph Transformer Framework with Meta-learning to Combat Opioid Epidemic
EAGER: An AI-driven Paradigm for Collective and Collaborative Community Resilience in the COVID-19 Era and Beyond
RAPID: AI- and Data-driven Integrated Framework for Hierarchical Community-level Risk Assessment
RAPID: AI-driven Innovations for COVID-19 Themed Malware Detection
CICI: SSC: SciTrust: Enhancing Security for Modern Software Programming Cyberinfrastructure
III: Small: Mining Heterogeneous Network Built from Multiple Data Sources to Reduce Opioid Overdose Risks
III: Small: Mining Heterogeneous Network Built from Multiple Data Sources to Reduce Opioid Overdose Risks
CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
TWC: Small: Intelligent Malware Detection Utilizing Novel File Relation-Based Features and Resilient Techniques for Adversarial Attacks
CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
CICI: SSC: SciTrust: Enhancing Security for Modern Software Programming Cyberinfrastructure
TWC: Small: Intelligent Malware Detection Utilizing Novel File Relation-Based Features and Resilient Techniques for Adversarial Attacks