| 2025 | EDM | A Bias-Aware Deep Learning Framework for Hierarchical Microcredential Classification. | Mohammad Arif Ul Alam, Geeta Verma, Eumie Jhong, Justin Otto Barber, Ashis Kumer Biswas |
| 2024 | EDM | Empowering Predictions of the Social Determinants of Mental Health through Large Language Model Augmentation in Students' Lived Experiential Essays. | Mohammad Arif Ul Alam, Madhavi Pagare, Susan Davis, Geeta Verma, Ashis Kumer Biswas, Justin Barbern |
| 2023 | ICTAI | Invertible Neural Networks for Trustworthy AI. | Malgorzata Schwab, Ashis Kumer Biswas |
| 2022 | MDM | The Dangers of Money and Corporate Power Relating to Online Disinformation. | Matthew Michaelis, Jafar Haadi Jafarian, Ashis Kumer Biswas |
| 2019 | ICMLA | Semi-Supervised Discriminative Transfer Learning in Cross-Language Text Classification. | Mingon Kang, Ashis Kumer Biswas, Dong-Chul Kim, Jean Gao |
| 2014 | BIBE | NMF-Based LncRNA-Disease Association Inference and Bi-Clustering. | Ashis Kumer Biswas, Jean X. Gao, Baoju Zhang, Xiaoyong Wu |
| 2013 | BIBE | QLZCClust: Quaternary lempel-Ziv complexity based clustering of the RNA-seq read block segments. | Ashis Kumer Biswas, Baoju Zhang, Xiaoyong Wu, Jean X. Gao |
| 2012 | CIKM | Infobox suggestion for Wikipedia entities. | Afroza Sultana, Quazi Mainul Hasan, Ashis Kumer Biswas, Soumyava Das, Habibur Rahman, Chris H. Q. Ding, Chengkai Li |
| 2008 | VLSID | A Novel Approach to Design BCD Adder and Carry Skip BCD Adder. | Ashis Kumer Biswas, Md. Mahmudul Hasan, Moshaddek Hasan, Ahsan Raja Chowdhury, Hafiz Md. Hasan Babu |