Scholar
Shivam Aggarwal
Google Scholar ID: FTkZZTMAAAAJ
Senior AI Compiler Engineer, Renesas
Efficient AI
Model Compression
Quantization
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Citations & Impact
All-time
Citations
118
H-index
5
i10-index
3
Publications
12
Co-authors
10
list available
Contact
Email
shivam@comp.nus.edu.sg
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Publications
4 items
HALO: Hardware-aware quantization with low critical-path-delay weights for LLM acceleration
2025
Cited
0
TerEffic: Highly Efficient Ternary LLM Inference on FPGA
2025
Cited
0
DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference
arXiv.org · 2024
Cited
0
Condensed Data Expansion Using Model Inversion for Knowledge Distillation
2024
Cited
1
Resume (English only)
Academic Achievements
Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs
Condensed Data-Guided Privacy-Preserving Knowledge Distillation
CRISP: Hybrid Structured Sparsity for Class-aware Model Pruning (DATE 2024)
Chameleon: Dual Memory Replay for Online Continual Learning on Edge Devices (IEEE TCAD 2024, DATE 2023)
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay (AAAI 2022)
Symmetric k-means for Deep Neural Network Compression and Hardware Acceleration on FPGAs (IEEE J-STSP, March 2020)
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications (HANDS Workshop @ ICCV 2019)
Co-authors
10 total
Tulika Mitra
Professor of Computer Science, National University of Singapore
Co-author 2
Michaela Blott
AMD Research
Alessandro Pappalardo
AMD
Co-author 5
Thomas B. Preußer
AMD Research
Saket Anand
Associate Professor, Indraprastha Institute of Information Technology
Co-author 8
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