Shivam Aggarwal

19 papers A* 3A 3B 2C 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Condensed Data Expansion Using Model Inversion for Knowledge Distillation. AAAI Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung Pham, Karianto Leman, Gim Hee Lee, Tulika Mitra
2026	A*	`conf`	HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration. AAAI Rohan Juneja, Shivam Aggarwal, Safeen Huda, Tulika Mitra, Li-Shiuan Peh
2025	A	`conf`	DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference. DATE Yujie Zhang, Shivam Aggarwal, Tulika Mitra
2025	J	`jnl`	DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference. CoRR Yujie Zhang, Shivam Aggarwal, Tulika Mitra
2025	J	`jnl`	HALO: Hardware-aware quantization with low critical-path-delay weights for LLM acceleration. CoRR Rohan Juneja, Shivam Aggarwal, Safeen Huda, Tulika Mitra, Li-Shiuan Peh
2025	J	`jnl`	TerEffic: Highly Efficient Ternary LLM Inference on FPGA. CoRR Chenyang Yin, Zhenyu Bai, Pranav Venkatram, Shivam Aggarwal, Zhaoying Li, Tulika Mitra
2024	A	`conf`	CRISP: Hybrid Structured Sparsity for Class-Aware Model Pruning. DATE Shivam Aggarwal, Kuluhan Binici, Tulika Mitra
2024	J	`jnl`	Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shivam Aggarwal, Kuluhan Binici, Tulika Mitra
2024	J	`jnl`	Condensed Sample-Guided Model Inversion for Knowledge Distillation. CoRR Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung Pham, Karianto Leman, Gim Hee Lee, Tulika Mitra
2024	B	`conf`	Evaluating Active-learning Based Performance Prediction of Parallel Applications. e-Science Shivam Aggarwal, Preeti Malakar
2024	B	`conf`	Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. FPL Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra
2023	J	`jnl`	CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning. CoRR Shivam Aggarwal, Kuluhan Binici, Tulika Mitra
2023	A	`conf`	Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices. DATE Shivam Aggarwal, Kuluhan Binici, Tulika Mitra
2023	J	`jnl`	Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. CoRR Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra
2022	A*	`conf`	Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. AAAI Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra
2022	J	`jnl`	Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay. CoRR Kuluhan Binici, Shivam Aggarwal, Nam Trung Pham, Karianto Leman, Tulika Mitra
2020	J	`jnl`	Symmetric $k$-Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs. IEEE J. Sel. Top. Signal Process. Akshay Jain, Pulkit Goel, Shivam Aggarwal, Alexander Fell, Saket Anand
2019	J	`jnl`	Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications. CoRR Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe
2014	C	`conf`	Identification and Detection of Phishing Emails Using Natural Language Processing Techniques. SIN Shivam Aggarwal, Vishal Kumar, S. D. Sudarsan