Shailik Sarkar

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 11

Top Topics

Multitask Learning

Text Classification

Spatial Analysis

Top Venues

Publications

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM (2023)
Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. BigData (2023)
Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM (2023)
Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. Big Data (2022)
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM (2022)
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM (2022)
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. Big Data (2022)
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. Big Data (2022)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM (2021)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR (2021)
Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData (2021)