Deniz Najafi
Orcid: 0009-0008-2734-8935
According to our database1,
Deniz Najafi
authored at least 16 papers
between 2023 and 2025.
Collaborative distances:
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Bibliography
2025
Opto-ViT: Architecting a Near-Sensor Region of Interest-Aware Vision Transformer Accelerator with Silicon Photonics.
CoRR, July, 2025
From Pixels to Reasoning: A Cross-Layer Photonic Design for Edge Visual Intelligence.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2025
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Event-Driven Spatiotemporal Processing-In-Sensor with Phase Change Memory-based Optical Acceleration.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
Maximizing Sub-Array Resource Utilization in Digital Processing-in-Memory: A Versatile Hardware-Aware Approach.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025
DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025
2024
ViTSen: Bridging Vision Transformers and Edge Computing With Advanced In/Near-Sensor Processing.
IEEE Embed. Syst. Lett., December, 2024
Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate.
CoRR, 2024
DECO: Dynamic Energy-aware Compression and Optimization for In-Memory Neural Networks.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
2023
Enabling Normally-off In-Situ Computing with a Magneto-Electric FET-based SRAM Design.
CoRR, 2023
Accelerating Low Bit-width Neural Networks at the Edge, PIM or FPGA: A Comparative Study.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023