| 2024 | KDD | Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. | Yue Deng, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2023 | ICDM | SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. | Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2023 | IJCAI | Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. | Asadullah Hill Galib, Andrew McDonald, Pang-Ning Tan, Lifeng Luo |
| 2022 | IJCAI | DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. | Asadullah Hill Galib, Andrew McDonald, Tyler Wilson, Lifeng Luo, Pang-Ning Tan |
| 2022 | KDD | Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. | Tyler Wilson, Andrew McDonald, Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo |
| 2020 | SEKE | Significant API Calls in Android Malware Detection (Using Feature Selection Techniques and Correlation Based Feature Elimination). | Asadullah Hill Galib, B. M. Mainul Hossain |
| 2019 | ICSE | GodExpo: an automated god structure detection tool for Golang. | Rafed Muhammad Yasir, Moumita Asad, Asadullah Hill Galib, Kishan Kumar Ganguly, Md. Saeed Siddik |