GodExpo: an automated god structure detection tool for Golang. - Rafed Muhammad Yasir; Moumita Asad; Asadullah Hill Galib; Kishan Kumar Ganguly; Md. Saeed Siddik (IWOR@ICSE, 2019)

Significant API Calls in Android Malware Detection (Using Feature Selection Techniques and Correlation Based Feature Elimination). - Asadullah Hill Galib; B. M. Mainul Hossain (SEKE, 2020)

The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques. - Asadullah Hill Galib; Nadia Nahar; B. M. Mainul Hossain (CoRR, 2020)

DeepExtrema: A Deep Learning Approach for Forecasting Block Maxima in Time Series Data. - Asadullah Hill Galib; Andrew McDonald 003; Tyler Wilson; Lifeng Luo; Pang-Ning Tan (IJCAI, 2022)

Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models. - Tyler Wilson; Andrew McDonald 003; Asadullah Hill Galib; Pang-Ning Tan; Lifeng Luo (KDD, 2022)

SimEXT: Self-supervised Representation Learning for Extreme Values in Time Series. - Asadullah Hill Galib; Pang-Ning Tan; Lifeng Luo (ICDM, 2023)

Self-Recover: Forecasting Block Maxima in Time Series from Predictors with Disparate Temporal Coverage Using Self-Supervised Learning. - Asadullah Hill Galib; Andrew McDonald 003; Pang-Ning Tan; Lifeng Luo (IJCAI, 2023)

On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense. - Asadullah Hill Galib; Bidhan Bashyal (CoRR, 2023)

Unraveling Block Maxima Forecasting Models with Counterfactual Explanation. - Yue Deng 004; Asadullah Hill Galib; Pang-Ning Tan; Lifeng Luo (KDD, 2024)

FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation. - Asadullah Hill Galib; Pang-Ning Tan; Lifeng Luo (NeurIPS, 2024)

FABLE: A Localized, Targeted Adversarial Attack on Weather Forecasting Models. - Yue Deng 004; Asadullah Hill Galib; Xin Lan; Pang-Ning Tan; Lifeng Luo (CoRR, 2025)