Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion? - Nibir Chandra Mandal; Tashreef Muhammad; G. M. Shahariar (MIET (2), 2022)

Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset Based on Active Learning. - Nazmus Sakib; G. M. Shahariar; Md. Mohsinul Kabir; Md. Kamrul Hasan 006; Hasan Mahmud (MIET (2), 2022)

Effectiveness of Transformer Models on IoT Security Detection in StackOverflow Discussions. - Nibir Chandra Mandal; G. M. Shahariar; Md. Tanvir Rouf Shawon (CoRR, 2022)

Spam Review Detection Using Deep Learning. - G. M. Shahariar; Swapnil Biswas; Faiza Omar; Faisal Muhammad Shah; Samiha Binte Hassan (CoRR, 2022)

Contrastive Learning for API Aspect Analysis. - G. M. Shahariar; Tahmid Hasan; Anindya Iqbal; Gias Uddin 001 (ASE, 2023)

Assorted, Archetypal and Annotated Two Million (3A2M) Cooking Recipes Dataset based on Active Learning. - Nazmus Sakib; G. M. Shahariar; Mohsinul Kabir; Md. Kamrul Hasan 007; Hasan Mahmud (CoRR, 2023)

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks. - Md. Tanvir Rouf Shawon; G. M. Shahariar; Faisal Muhammad Shah; Mohammad Shafiul Alam; Md. Shahriar Mahbub (CoRR, 2023)

Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning. - Tanveer Ahmed Belal; G. M. Shahariar; Md. Hasanul Kabir (CoRR, 2023)

Tackling Fake News in Bengali: Unraveling the Impact of Summarization vs. Augmentation on Pre-trained Language Models. - Arman Sakif Chowdhury; G. M. Shahariar; Ahammed Tarik Aziz; Syed Mohibul Alam; Md. Azad Sheikh; Tanveer Ahmed Belal (CoRR, 2023)

Rank Your Summaries: Enhancing Bengali Text Summarization via Ranking-based Approach. - G. M. Shahariar; Tonmoy Talukder; Rafin Alam Khan Sotez; Md. Tanvir Rouf Shawon (CoRR, 2023)

Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning. - Dibya Nath; G. M. Shahariar (CoRR, 2023)

Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME. - Md. Atiqur Rahman; Ahmed Saad Tanim; Sanjid Islam Chowdhury; Fahim Pranto; G. M. Shahariar; Md. Tanvir Rouf Shawon (CoRR, 2023)

Towards Automated Recipe Genre Classification using Semi-Supervised Learning. - Nazmus Sakib; G. M. Shahariar; Md. Mohsinul Kabir; Md. Kamrul Hasan 006; Hasan Mahmud (CoRR, 2023)

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation. - G. M. Shahariar; Jia Chen 002; Jiachen Li; Yue Dong 002 (EMNLP (Findings), 2024)

A Comparative Analysis of Noise Reduction Methods in Sentiment Analysis on Noisy Bangla Texts. - Kazi Toufique Elahi; Tasnuva Binte Rahman; Shakil Shahriar; Samir Sarker; Md. Tanvir Rouf Shawon; G. M. Shahariar (CoRR, 2024)

Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification. - Ashfiqun Mustari; Rushmia Ahmed; Afsara Tasnim; Jakia Sultana Juthi; G. M. Shahariar (CoRR, 2024)

Gender Bias Mitigation for Bangla Classification Tasks. - Sajib Kumar Saha Joy; Arman Hassan Mahy; Meherin Sultana; Azizah Mamun Abha; MD Piyal Ahmmed; Yue Dong; G. M. Shahariar (CoRR, 2024)

Bengali fake reviews: A benchmark dataset and detection system. - G. M. Shahariar; Md. Tanvir Rouf Shawon; Faisal Muhammad Shah; Mohammad Shafiul Alam; Md. Shahriar Mahbub (Neurocomputing, 2024)

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots. - Erfan Shayegani; G. M. Shahariar; Sara Abdali; Lei Yu 001; Nael B. Abu-Ghazaleh; Yue Dong 002 (CoRR, 2025)