| 2026 | AAAI | Condensed Data Expansion Using Model Inversion for Knowledge Distillation. | Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung Pham, Karianto Leman, Gim Hee Lee, Tulika Mitra |
| 2025 | AAAI | MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. | Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler |
| 2025 | ICIP | Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models. | Kuluhan Binici, Cihan Acar, Shivam Aggarwal, Siying Liu, Tulika Mitra |
| 2024 | BMVC | Generalizing Teacher Networks for Effective Knowledge Distillation Across Student Architectures. | Kuluhan Binici, Weiming Wu, Tulika Mitra |
| 2024 | DATE | CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning. | Shivam Aggarwal, Kuluhan Binici, Tulika Mitra |
| 2023 | DATE | Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices. | Shivam Aggarwal, Kuluhan Binici, Tulika Mitra |
| 2022 | AAAI | Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. | Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra |
| 2022 | WACV | Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data. | Kuluhan Binici, Nam Trung Pham, Tulika Mitra, Karianto Leman |