Shailik Sarkar

23 papers B 12Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2025 B conf
CAEW: An Explainable Approach to Understanding EEG Patterns in Major Depressive Disorder.
IEEE Big Data
Benjamin Bowman, Abdulaziz Alhamadani, Shailik Sarkar, Bayazit Karaman
2025 — conf
Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation.
KDD (2)
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
2025 J jnl
Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation.
CoRR
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
2025 — conf
MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss.
SIGSPATIAL/GIS
Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025 J jnl
MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss.
CoRR
Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu
2025 B conf
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks.
IEEE Big Data
Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2025 J jnl
Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks.
CoRR
Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024 — conf
Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction.
ASONAM (4)
Abdulaziz Alhamadani, Khadija Althubiti, Jianfeng He, Shailik Sarkar, Lulwah Alkulaib, Abdul Raheem Shaik, Seungwon Lee, Mahmood Khan, Chang-Tien Lu
2024 B conf
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance.
IEEE Big Data
Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024 J jnl
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance.
CoRR
Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu
2024 — conf
IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool.
ASONAM (4)
Aadyant Khatri, Nicolas Egierski, Ashutosh Pochamreddy, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2024 — conf
Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach.
ASONAM (4)
Abdul Raheem Shaik, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2023 B conf
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry.
ASONAM
Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu
2023 B conf
Hypergraph Text Classification for Mental Health Misleading Advice.
ASONAM
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2023 B conf
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM.
IEEE Big Data
Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
2022 B conf
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.
IEEE Big Data
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties.
IEEE Big Data
Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
2022 B conf
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.
IEEE Big Data
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
2022 B conf
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.
ASONAM
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
2022 B conf
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.
ASONAM
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu
2021 B conf
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
ASONAM
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021 J jnl
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
CoRR
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021 — conf
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.
IEEE BigData
Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu