Mohamed M. Sabry Aly
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | HPCA | LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. | Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Liu, Mohamed M. Sabry Aly, Mao Yang |
| 2024 | DATE | ViTA: A Highly Efficient Dataflow and Architecture for Vision Transformers. | Chunyun Chen, Lantian Li, Mohamed M. Sabry Aly |
| 2022 | ASPDAC | SonicFFT: A system architecture for ultrasonic-based FFT acceleration. | Darayus Adil Patel, Viet Phuong Bui, Kevin Tshun Chuan Chai, Amit Lal, Mohamed M. Sabry Aly |
| 2022 | DATE | Scalable Hardware Acceleration of Non-Maximum Suppression. | Chunyun Chen, Tianyi Zhang, Zehui Yu, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly |
| 2022 | ECCV | RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. | Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar |
| 2021 | AAAI | OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. | Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin |
| 2021 | CVPR | PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. | Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly |
| 2021 | DAC | Efficient Tunstall Decoder for Deep Neural Network Compression. | Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly |
| 2021 | DCC | Rate-Distortion Optimized Coding for Efficient CNN Compression. | Wang Zhe, Jie Lin, Mohamed M. Sabry Aly, Sean I. Young, Vijay Chandrasekhar, Bernd Girod |
| 2020 | DATE | Fledge: Flexible Edge Platforms Enabled by In-memory Computing. | Kamalika Datta, Arko Dutt, Ahmed Zaky, Umesh Chand, Devendra Singh, Yida Li, Jackson Chun-Yang Huang, Aaron Thean, Mohamed M. Sabry Aly |
| 2020 | DATE | Quantifying the Benefits of Monolithic 3D Computing Systems Enabled by TFT and RRAM. | Abdallah M. Felfel, Kamalika Datta, Arko Dutt, Hasita Veluri, Ahmed Zaky, Aaron Voon-Yew Thean, Mohamed M. Sabry Aly |
| 2019 | CVPR | MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. | Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar |
| 2019 | DCC | Dataflow-Based Joint Quantization for Deep Neural Networks. | Xue Geng, Jie Fu, Bin Zhao, Jie Lin, Mohamed M. Sabry Aly, Christopher J. Pal, Vijay Chandrasekhar |
| 2019 | ISLPED | TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. | Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly |
| 2018 | ACCV | Hardware-Aware Softmax Approximation for Deep Neural Networks. | Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, Vijay Chandrasekhar |