Shailik Sarkar

According to our database, Shailik Sarkar authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Learning to Predict Delivery Delays: An Analytical Study of Machine Learning and Oversampling Strategies.

Noelle Hartman, Shailik Sarkar, Abdulaziz Alhamadani

Proceedings of the 2026 9th International Conference on Information and Computer Technologies, 2026

2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MVeLMA: Multimodal Vegetation Loss Modeling Architecture for Predicting Post-fire Vegetation Loss.

Meenu Ravi, Shailik Sarkar, Yanshen Sun, Vaishnavi Singh, Chang-Tien Lu

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Scam Shield: Multi-Model Voting and Fine-Tuned LLMs Against Adversarial Attacks.

Chen-Wei Chang, Shailik Sarkar, Hossein Salemi, Hyungmin Kim, Shutonu Mitra, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2025

CAEW: An Explainable Approach to Understanding EEG Patterns in Major Depressive Disorder.

Benjamin Bowman, Abdulaziz Alhamadani, Shailik Sarkar, Bayazit Karaman

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance.

Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2024

Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach.

Abdul Raheem Shaik, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool.

Aadyant Khatri, Nicolas Egierski, Ashutosh Pochamreddy, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

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

Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024

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

Proceedings of the IEEE International Conference on Big Data, 2023

Hypergraph Text Classification for Mental Health Misleading Advice.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

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

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties.

Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets.

Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2022

Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach.

Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit.

Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis.

Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021