| Predicting depression and anxiety on reddit: a multi-task learning approach S Sarkar, A Alhamadani, L Alkulaib, CT Lu 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 20 | 2022 |
| Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information P Roy, S Sarkar, S Biswas, F Chen, Z Chen, N Ramakrishnan, CT Lu Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 12 | 2021 |
| Forecasting high-risk areas of covid-19 infection through socioeconomic and static spatial analysis A Alhamadani, S Sarkar, L Zhang, L Alkulaib, CT Lu 2021 IEEE International Conference on Big Data (Big Data), 4313-4322, 2021 | 3 | 2021 |
| Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties S Sarkar, A Alhamadani, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 5338-5345, 2022 | 2 | 2022 |
| Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance CW Chang, S Sarkar, S Mitra, Q Zhang, H Salemi, H Purohit, F Zhang, ... 2024 IEEE International Conference on Big Data (BigData), 3568-3571, 2024 | 1 | 2024 |
| From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry A Alhamadani, K Althubiti, S Sarkar, J He, L Alkulaib, S Behal, M Khan, ... Proceedings of the International Conference on Advances in Social Networks …, 2023 | 1 | 2023 |
| Analyzing Prediction of Depression and Anxiety on Reddit: a Multi-task Learning Approach through GMMTL S Sarkar, A Alhamadani, S Behal, L Alkulaib, CT Lu | 1 | 2023 |
| The Efficacy of PRISTINE: Revealing Concealed Opioid Crisis Trends via Reddit Examination A Alhamadani, S Sarkar, S Behal, L Alkulaib, CT Lu | 1 | 2023 |
| HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets L Alkulaib, A Alhamadani, S Sarkar, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 693-700, 2022 | 1 | 2022 |
| DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data A Alhamadani, S Sarkar, L Alkulaib, CT Lu 2022 IEEE International Conference on Big Data (Big Data), 5163-5172, 2022 | 1 | 2022 |
| PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit A Alhamadani, S Sarkar, L Alkulaib, CT Lu 2022 IEEE/ACM International Conference on Advances in Social Networks …, 2022 | 1 | 2022 |
| Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation S Sarkar, RB Yousuf, L Wang, B Mayer, T Mortier, V Deklerck, ... arXiv preprint arXiv:2502.14115, 2025 | | 2025 |
| IntelliSMART: Intelligent Semantic Machine-Assisted Research Tool A Khatri, N Egierski, A Pochamreddy, A Alhamadani, S Sarkar, CT Lu International Conference on Advances in Social Networks Analysis and Mining …, 2024 | | 2024 |
| Optimizing Airline Destinations with AIRNODE: A Graph Attention Network Approach AR Shaik, A Alhamadani, S Sarkar, CT Lu International Conference on Advances in Social Networks Analysis and Mining …, 2024 | | 2024 |
| Empowering Airline Route Decisions with LLM-Generated Pseudo-labels and Zero-Shot Review Prediction A Alhamadani, K Althubiti, J He, S Sarkar, L Alkulaib, AR Shaik, S Lee, ... International Conference on Advances in Social Networks Analysis and Mining …, 2024 | | 2024 |
| More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM R Zhang, S Sarkar, A Alhamadani, CT Lu 2023 IEEE International Conference on Big Data (BigData), 5014-5023, 2023 | | 2023 |
| Hypergraph Text Classification for Mental Health Misleading Advice L Alkulaib, A Alhamadani, S Sarkar, CT Lu Proceedings of the International Conference on Advances in Social Networks …, 2023 | | 2023 |
| Vehicle Routing Problem using Machine Learning SA Irshad, S Sarkar, G Rathinavel | | |
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechVerified email at vt.edu
