Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT. - Matthew Tang; Priyanka Gandhi; Md. Ahsanul Kabir; Christopher Zou; Jordyn Blakey; Xiao Luo 002 (CoRR, 2019)

Unsupervised Learning for Network Flow Based Anomaly Detection in the Era of Deep Learning. - Md. Ahsanul Kabir; Xiao Luo 002 (BigDataService, 2020)

ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction. - Md. Ahsanul Kabir; Mohammad Al Hasan; Aritra Mandal; Daniel Tunkelang; Zhe Wu (CoRR, 2022)

Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns. - Md. Ahsanul Kabir; Aljohara Almulhim; Xiao Luo 002; Mohammad Al Hasan (J. Heal. Informatics Res., 2022)

ASPER: Attention-based approach to extract syntactic patterns denoting semantic relations in sentential context. - Md. Ahsanul Kabir; Tyler Phillips 001; Xiao Luo 002; Mohammad Al Hasan (Nat. Lang. Process. J., 2023)

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs. - Md. Ahsanul Kabir; Kareem Abdelfatah; Shushan He; Mohammed Korayem; Mohammad Al Hasan (IEEE Big Data, 2024)

A Survey on E-Commerce Learning to Rank. - Md. Ahsanul Kabir; Mohammad Al Hasan; Aritra Mandal; Daniel Tunkelang; Zhe Wu (CoRR, 2024)

Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model. - Md. Ahsanul Kabir; Abrar Jahin; Mohammad Al Hasan (CoRR, 2025)

Hierarchical Job Classification with Similarity Graph Integration. - Md. Ahsanul Kabir; Kareem Abdelfatah; Mohammed Korayem; Mohammad Al Hasan (CoRR, 2025)

Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model. - Md. Ahsanul Kabir; Mohammad Al Hasan; Aritra Mandal; Liyang Hao; Ishita Khan; Daniel Tunkelang; Zhe Wu (CoRR, 2025)