| 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 |
| 2026 | AAAI | HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration. | Rohan Juneja, Shivam Aggarwal, Safeen Huda, Tulika Mitra, Li-Shiuan Peh |
| 2025 | DATE | DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference. | Yujie Zhang, Shivam Aggarwal, Tulika Mitra |
| 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 | DATE | CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning. | Shivam Aggarwal, Kuluhan Binici, Tulika Mitra |
| 2024 | FPL | Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. | Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preuer, Michaela Blott, 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 |
| 2014 | SIN | Identification and Detection of Phishing Emails Using Natural Language Processing Techniques. | Shivam Aggarwal, Vishal Kumar, S. D. Sudarsan |