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Alireza Khodamoradi

Observed names: Alireza Khodamoradi Khodamoradi, Khodamoradi, Alireza
ORCID: 0000-0001-8811-2258
Observed ORCID: 0000-0001-8811-2258
OpenAlex ID: A5082105097
O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors
2018 · Alireza Khodamoradi, Ryan Kastner · IEEE Transactions on Emerging Topics in Computing · 103
S2N2: A FPGA Accelerator for Streaming Spiking Neural Networks
2021 · Alireza Khodamoradi, Kristof Denolf, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 72
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Benchmarking vision kernels and neural network inference accelerators on embedded platforms
2020 · Murad Qasaimeh, Kristof Denolf, et al. · Journal of Systems Architecture · 46
Real-time Automatic Modulation Classification using RFSoC
2020 · Stephen Tridgell, David Boland, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 32
RUBICON: a framework for designing efficient deep learning-based genomic basecallers
2024 · Gagandeep Singh, Mohammed Alser, et al. · Genome biology · 31
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SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation
2023 · Gagandeep Singh, Alireza Khodamoradi, et al. · International Conference on Supercomputing · 20
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Microscaling Data Formats for Deep Learning
2023 · Rouhani, Bita Darvish, Zhao, Ritchie, et al. · arXiv (Cornell University) · 19
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Tailor : Altering Skip Connections for Resource-Efficient Inference
2023 · Olivia Weng, Gabriel Marcano, et al. · ACM Transactions on Reconfigurable Technology and Systems · 14
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The Evolution of Domain-Specific Computing for Deep Learning
2021 · Stephen Neuendorffer, Alireza Khodamoradi Khodamoradi, et al. · IEEE Circuits and Systems Magazine · 7
A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
2022 · Gagandeep Singh, Mohammed Alser, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 5
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ASLR: An Adaptive Scheduler for Learning Rate
2021 · Alireza Khodamoradi, Kristof Denolf, et al. · International Joint Conference on Neural Networks (IJCNN) · 5
A computer vision based candidate for functional balance test
2015 · Alican Nalci, Alireza Khodamoradi, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 5
Adapting Skip Connections for Resource-Efficient FPGA Inference
2023 · Olivia Weng, Gabriel Marcano, et al. · ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA) · 3
Tailor: Altering Skip Connections for Resource-Efficient Inference
2023 · Weng, Olivia, Marcano, Gabriel, et al. · arXiv (Cornell University) · 3
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RUBICON: A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers
2022 · Singh, Gagandeep, Alser, Mohammed, et al. · arXiv (Cornell University) · 1
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Hardware-efficient Residual Networks for FPGAs
2021 · Weng, Olivia, Khodamoradi, Alireza, et al. · arXiv (Cornell University) · 1
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Training an MoE LLM in MXFP4: How We Closed the Gap to BF16
2026 · Wang, Han, Wang, Zhitao, et al. · arXiv (Cornell University)
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KroQuant: Kronecker-Structured Block Transforms for Efficient Post-Training Quantization of Diffusion Transformers
2026 · Bouquet, Yann, Khodamoradi, Alireza, et al. · arXiv (Cornell University)
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LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization
2026 · Bouquet, Yann, Khodamoradi, Alireza, et al. · arXiv (Cornell University)
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AdaHOP: Fast and Accurate Low-Precision Training via Outlier-Pattern-Aware Rotation
2026 · Kim, Seonggon, Khodamoradi, Alireza, et al. · arXiv (Cornell University)
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Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks
2024 · Khodamoradi, Alireza, Denolf, Kristof, et al. · arXiv (Cornell University)
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RUBICON: A framework for designing efficient deep learning-based genomic basecallers
2022 · Gagandeep Singh, Mohammed Alser, et al.
Reshaping Deep Neural Networks for Efficient Hardware Inference
2021 · Alireza Khodamoradi · eScholarship (California Digital Library)
Works count: 28
Citation count: 373
H-index: 8
I10-index: 8
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