Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. - Padmaksha Roy; Shailik Sarkar; Subhodip Biswas; Fanglan Chen; Zhiqian Chen; Naren Ramakrishnan; Chang-Tien Lu (ASONAM, 2021)

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. - Abdulaziz Alhamadani; Shailik Sarkar; Lei Zhang 158; Lulwah Alkulaib; Chang-Tien Lu (IEEE BigData, 2021)

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. - Abdulaziz Alhamadani; Shailik Sarkar; Lulwah Alkulaib; Chang-Tien Lu (ASONAM, 2022)

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. - Shailik Sarkar; Abdulaziz Alhamadani; Lulwah Alkulaib; Chang-Tien Lu (ASONAM, 2022)

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. - Abdulaziz Alhamadani; Shailik Sarkar; Lulwah Alkulaib; Chang-Tien Lu (IEEE Big Data, 2022)

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. - Lulwah Alkulaib; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (IEEE Big Data, 2022)

Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. - Shailik Sarkar; Abdulaziz Alhamadani; Chang-Tien Lu (IEEE Big Data, 2022)

From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. - Abdulaziz Alhamadani; Khadija Althubiti; Shailik Sarkar; Jianfeng He; Lulwah Alkulaib; Srishti Behal; Mahmood Khan; Chang-Tien Lu (ASONAM, 2023)

Hypergraph Text Classification for Mental Health Misleading Advice. - Lulwah Alkulaib; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM, 2023)

More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. - Rocco Zhang; Shailik Sarkar; Abdulaziz Alhamadani; Chang-Tien Lu (IEEE Big Data, 2023)

Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction. - Abdulaziz Alhamadani; Khadija Althubiti; Jianfeng He; Shailik Sarkar; Lulwah Alkulaib; Abdul Raheem Shaik; Seungwon Lee; Mahmood Khan; Chang-Tien Lu (ASONAM (4), 2024)

IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool. - Aadyant Khatri; Nicolas Egierski; Ashutosh Pochamreddy; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM (4), 2024)

Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach. - Abdul Raheem Shaik; Abdulaziz Alhamadani; Shailik Sarkar; Chang-Tien Lu (ASONAM (4), 2024)

Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. - Chen-Wei Chang; Shailik Sarkar; Shutonu Mitra; Qi Zhang 104; Hossein Salemi; Hemant Purohit; Fengxiu Zhang; Michin Hong; Jin-Hee Cho; Chang-Tien Lu (IEEE Big Data, 2024)

Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. - Shailik Sarkar; Raquib Bin Yousuf; Linhan Wang; Brian Mayer; Thomas Mortier; Victor Deklerck; Jakub Truszkowski; John Simeone; Marigold Norman; Jade Saunders; Chang-Tien Lu; Naren Ramakrishnan (CoRR, 2025)