| 2024 | DICTA | Improving Medical Image Classification via Representation Fusion and Contrastive Learning. | Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |
| 2024 | ICAART | Medi-CAT: Contrastive Adversarial Training for Medical Image Classification. | Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |
| 2024 | ICAART | A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content. | Pervaiz Iqbal Khan, Muhammad Nabeel Asim, Andreas Dengel, Sheraz Ahmed |
| 2024 | ICONIP | Improving Text Representation for Disease Detection from Social Media via Self-augmentation and Contrastive Learning. | Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |
| 2023 | ICAART | Randout-KD: Finetuning Foundation Models for Text Classification via Random Noise and Knowledge Distillation. | Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |
| 2022 | ICANN | A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets. | Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed |
| 2020 | ICONIP | Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning. | Pervaiz Iqbal Khan, Imran Razzak, Andreas Dengel, Sheraz Ahmed |
| 2019 | ICDAR | Rethinking Semantic Segmentation for Table Structure Recognition in Documents. | Shoaib Ahmed Siddiqui, Pervaiz Iqbal Khan, Andreas Dengel, Sheraz Ahmed |