Philip H. W. Leong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | FPL | AMD Versal Implementations of FAM and SSCA Estimators. | Carol Jingyi Li, Ruilin Wu, Philip H. W. Leong |
| 2024 | FPL | PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. | Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong |
| 2023 | FPGA | Single-Batch CNN Training using Block Minifloats on FPGAs. | Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong |
| 2023 | GLOBECOM | The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting. | Teng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal |
| 2023 | ICCAD | BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. | Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo |
| 2023 | ICPADS | On-Board Federated Learning in Orbital Edge Computing. | Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler |
| 2023 | UCC | Performance Analysis of Federated Learning in Orbital Edge Computing. | Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler |
| 2021 | FPGA | MLBlocks: FPGA Blocks for Machine Learning Applications. | Seyedramin Rasoulinezhad, David Boland, Philip H. W. Leong |
| 2021 | ICLR | A Block Minifloat Representation for Training Deep Neural Networks. | Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong |
| 2020 | FPGA | LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. | Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong |
| 2020 | ISCAS | Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers. | Cyrus Wing-Hei Chan, Philip H. W. Leong, Hayden Kwok-Hay So |
| 2019 | FCCM | PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks. | Seyedramin Rasoulinezhad, Hao Zhou, Lingli Wang, Philip H. W. Leong |
| 2018 | CVPR | SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. | Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong |
| 2018 | FPL | Customizing Low-Precision Deep Neural Networks for FPGAs. | Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland |
| 2018 | FPL | RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks. | Cheng Luo, Yuhua Wang, Wei Cao, Philip H. W. Leong, Lingli Wang |
| 2015 | FPL | UniStream: A unified stream architecture combining configuration and data processing. | Jian Yan, Jifang Jin, Ying Wang, Xuegong Zhou, Philip H. W. Leong, Lingli Wang |