Dayane Reis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Late Breaking Results: SP-HD: Stochastic Projection-Based HyperDimensional Architecture for Near-Sensor Image Classification. | Ahmed Mamdouh, Sabrina Hassan Moon, Abu Kaisar Mohammad Masum, Emilien Meyer, Sercan Aygun, Dayane Reis |
| 2026 | DATE | Increasing the Efficiency of Associative Processor Architectures via CMOS-Compatible Hybridization. | Socrates S. Wong, Cecilio C. Tamarit, Mohammad Mehdi Sharifi, Zephan M. Enciso, Dayane Reis, Michael T. Niemier, X. Sharon Hu, Jos F. Martnez |
| 2026 | ISLPED | XL-HD: Extended Learning in Hyperdimensional Computing via Deterministic Projections for In-Memory Accelerators. | Sabrina Hassan Moon, Abu Kaisar Mohammad Masum, Sercan Aygun, Dayane Reis |
| 2025 | DAC | Late Breaking Results: On-the-Fly Hadamard Hypervector Processing for Efficient Hyperdimensional Computing. | Abu Kaisar Mohammad Masum, Mehran Shoushtari Moghadam, Sabrina Hassan Moon, Ahmed Mamdouh Mohamed Ahmed, M. Hassan Najafi, Dayane Reis, Sercan Aygun |
| 2023 | ASPDAC | In-Memory Computing Accelerators for Emerging Learning Paradigms. | Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu |
| 2023 | ICCAD | Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. | Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu |
| 2022 | DAC | iMARS: an in-memory-computing architecture for recommendation systems. | Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu |
| 2021 | ASPDAC | Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. | Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu |
| 2021 | DATE | Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. | Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu |
| 2020 | DATE | Emerging Neural Workloads and Their Impact on Hardware. | David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin |
| 2020 | DATE | A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. | Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu |
| 2019 | ICCAD | The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. | Jrg Henkel, Hussam Amrouch, Martin Rapp, Sami Salamin, Dayane Reis, Di Gao, Xunzhao Yin, Michael T. Niemier, Cheng Zhuo, Xiaobo Sharon Hu, Hsiang-Yun Cheng, Chia-Lin Yang |