Philip H. W. Leong

65 papers A* 2A 4B 7C 1Misc 2Journal 37Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantization Robustness of Monotone Operator Equilibrium Networks.
CoRR
James Li, Philip H. W. Leong, Thomas Chaffey
2025 B conf
AMD Versal Implementations of FAM and SSCA Estimators.
FPL
Carol Jingyi Li, Ruilin Wu, Philip H. W. Leong
2025 J jnl
AMD Versal Implementations of FAM and SSCA Estimators.
CoRR
Carol Jingyi Li, Ruilin Wu, Philip H. W. Leong
2025 J jnl
FPGA-based Block Minifloat Training Accelerator for a Time Series Prediction Network.
ACM Trans. Reconfigurable Technol. Syst.
Wenjie Zhou, Haoyan Qi, David Boland, Philip H. W. Leong
2025 J jnl
Highly Parallel CNN Accelerator for RepVGG-Like Network Training on FPGAs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Chuliang Guo, Binglei Lou, David Boland, Philip H. W. Leong
2025 J jnl
Low-Latency FPGA Control System for Real-Time Neural Network Processing in CCD-Based Trapped-Ion Qubit Measurement.
CoRR
Binglei Lou, Gautham Duddi Krishnaswaroop, Filip Wojcicki, Ruilin Wu, Richard Rademacher, Zhiqiang Que, Wayne Luk, Philip H. W. Leong
2025 J jnl
Toward High-Performance Network Coding: FPGA Acceleration With Bounded-Value Generators.
IEEE Trans. Very Large Scale Integr. Syst.
Jiaxin Qing, Philip H. W. Leong, Kin-Hong Lee, Raymond W. Yeung
2025 J jnl
Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators.
CoRR
Jiaxin Qing, Philip H. W. Leong, Kin-Hong Lee, Raymond W. Yeung
2024 — conf
Body Area Network Design for Spacewalk Nonverbal Communication in Extreme Conditions.
WiSEE
Thuy T. Pham, Veronica B. H. Nguyen, Philip H. W. Leong
2024 J jnl
Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering Framework.
IEEE Trans. Mob. Comput.
Yufei Yang, Chenhao Xie, Liansheng Liu, Philip H. W. Leong, Shuaiwen Leon Song
2024 J jnl
FedOrbit: Energy Efficient Federated Learning for Orbital Edge Computing Using Block Minifloat Arithmetic.
IEEE Trans. Serv. Comput.
Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland
2024 B conf
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs.
FPL
Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong
2024 J jnl
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs.
CoRR
Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong
2024 J jnl
S$^{3}$CA: A Sparse Strip Spectral Correlation Analyzer.
IEEE Signal Process. Lett.
Carol Jingyi Li, Richard Rademacher, David Boland, Craig T. Jin, Chad M. Spooner, Philip H. W. Leong
2024 J jnl
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library.
CoRR
Binglei Lou, David Boland, Philip H. W. Leong
2023 J jnl
A Scalable Systolic Accelerator for Estimation of the Spectral Correlation Density Function and Its FPGA Implementation.
ACM Trans. Reconfigurable Technol. Syst.
Xiangwei Li, Douglas L. Maskell, Carol Jingyi Li, Philip H. W. Leong, David Boland
2023 A conf
BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning.
ICCAD
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo
2023 J jnl
Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis.
ACM Trans. Reconfigurable Technol. Syst.
Carol Jingyi Li, Xiangwei Li, Binglei Lou, Craig T. Jin, David Boland, Philip H. W. Leong
2023 B conf
On-Board Federated Learning in Orbital Edge Computing.
ICPADS
Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler
2023 J jnl
Performance Analysis and Optimal Design of BATS Code: A Hardware Perspective.
IEEE Trans. Veh. Technol.
Jiaxin Qing, Philip H. W. Leong, Raymond W. Yeung
2023 Misc conf
Performance Analysis of Federated Learning in Orbital Edge Computing.
UCC
Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler
2023 J jnl
Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction.
Artif. Intell. Rev.
Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong
2023 A conf
Single-Batch CNN Training using Block Minifloats on FPGAs.
FPGA
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong
2023 B conf
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting.
GLOBECOM
Teng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal
2023 J jnl
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting.
CoRR
Teng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal
2023 J jnl
fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection Library.
ACM Trans. Reconfigurable Technol. Syst.
Binglei Lou, David Boland, Philip H. W. Leong
2022 J jnl
FPGA Architecture Exploration for DNN Acceleration.
ACM Trans. Reconfigurable Technol. Syst.
Esther Roorda, Seyedramin Rasoulinezhad, Philip H. W. Leong, Steven J. E. Wilton
2022 — conf
FPGA Implementation of N-BEATS for Time Series Forecasting Using Block Minifloat Arithmetic.
APCCAS
Wenjie Zhou, Haoyan Qi, David Boland, Philip H. W. Leong
2022 J jnl
Introduction to Special Section on FPGA 2021.
ACM Trans. Reconfigurable Technol. Syst.
Philip H. W. Leong
2022 J jnl
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic.
IEEE Trans. Parallel Distributed Syst.
Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
2022 J jnl
On-Device Saliency Prediction Based on Pseudoknowledge Distillation.
IEEE Trans. Ind. Informatics
Ayaz Umer, Chakkrit Termritthikun, Tie Qiu, Philip H. W. Leong, Ivan Lee
2022 J jnl
Rethinking Embedded Blocks for Machine Learning Applications.
ACM Trans. Reconfigurable Technol. Syst.
Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
2022 J jnl
Wireless Signal Representation Techniques for Automatic Modulation Classification.
IEEE Access
Xueyuan Liu, Carol Jingyi Li, Craig T. Jin, Philip H. W. Leong
2021 A* conf
A Block Minifloat Representation for Training Deep Neural Networks.
ICLR
Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong
2021 — conf
APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications.
FPT
Yuan Dai, Simin Liu, Yao Lu, Hao Zhou, Seyedramin Rasoulinezhad, Philip H. W. Leong, Lingli Wang
2021 A conf
MLBlocks: FPGA Blocks for Machine Learning Applications.
FPGA
Seyedramin Rasoulinezhad, David Boland, Philip H. W. Leong
2020 J jnl
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers.
IEEE Trans. Very Large Scale Integr. Syst.
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
2020 J jnl
Kernel Normalised Least Mean Squares with Delayed Model Adaptation.
ACM Trans. Reconfigurable Technol. Syst.
Nicholas J. Fraser, Philip H. W. Leong
2020 A conf
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations.
FPGA
Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020 J jnl
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations.
CoRR
Seyedramin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020 J jnl
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency.
CoRR
Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2020 J jnl
NITI: Training Integer Neural Networks Using Integer-only Arithmetic.
CoRR
Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
2020 J jnl
Nonlinear retinal response modeling for future neuromorphic instrumentation.
IEEE Instrum. Meas. Mag.
Jason Kamran Eshraghian, Seungbum Baek, Timothée Levi, Takashi Kohno, Said F. Al-Sarawi, Philip H. W. Leong, Kyoung-Rok Cho, Derek Abbott, Omid Kavehei
2020 — conf
Real-time Automatic Modulation Classification using RFSoC.
IPDPS Workshops
Stephen Tridgell, David Boland, Philip H. W. Leong, Ryan Kastner, Alireza Khodamoradi, Siddhartha
2020 C conf
Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers.
ISCAS
Cyrus Wing-Hei Chan, Philip H. W. Leong, Hayden Kwok-Hay So
2019 J jnl
A Two-Speed, Radix-4, Serial-Parallel Multiplier.
IEEE Trans. Very Large Scale Integr. Syst.
Duncan J. M. Moss, David Boland, Philip H. W. Leong
2019 J jnl
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers.
CoRR
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
2019 — conf
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency.
FPT
Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
2019 Misc conf
PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks.
FCCM
Seyedramin Rasoulinezhad, Hao Zhou, Lingli Wang, Philip H. W. Leong
2019 J jnl
RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks.
IEICE Trans. Inf. Syst.
Cheng Luo, Wei Cao, Lingli Wang, Philip H. W. Leong
2019 — conf
Real-Time Automatic Modulation Classification.
FPT
Stephen Tridgell, David Boland, Philip H. W. Leong, Siddhartha
2019 — conf
Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs.
FPT
Sean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong
2019 J jnl
Unrolling Ternary Neural Networks.
CoRR
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
2019 J jnl
Unrolling Ternary Neural Networks.
ACM Trans. Reconfigurable Technol. Syst.
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
2018 B conf
Customizing Low-Precision Deep Neural Networks for FPGAs.
FPL
Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
2018 — conf
Feature Analysis for Discrimination of Motor Unit Action Potentials.
ISMICT
Thuy T. Pham, Diep N. Nguyen, Eryk Dutkiewicz, Alistair Lee McEwan, Philip H. W. Leong, Andrew J. Fuglevand
2018 — conf
Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation.
MILCOM
Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong
2018 B conf
RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks.
FPL
Cheng Luo, Yuhua Wang, Wei Cao, Philip H. W. Leong, Lingli Wang
2018 A* conf
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks.
CVPR
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
2018 — conf
Simultaneous Inference and Training Using On-FPGA Weight Perturbation Techniques.
FPT
Siddhartha, Steven J. E. Wilton, David Boland, Barry Flower, Perry Blackmore, Philip H. W. Leong
2016 — conf
A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification.
ARC
Shaojun Wang, Xinyu Niu, Ning Ma, Wayne Luk, Philip H. W. Leong, Yu Peng
2015 B conf
UniStream: A unified stream architecture combining configuration and data processing.
FPL
Jian Yan, Jifang Jin, Ying Wang, Xuegong Zhou, Philip H. W. Leong, Lingli Wang
2014 — conf
Design space exploration for FPGA-based hybrid multicore architecture.
FPT
Jian Yan, Junqi Yuan, Ying Wang, Philip H. W. Leong, Lingli Wang
2013 J jnl
Feature Graph Architectures.
CoRR
Richard Davis, Sanjay Chawla, Philip H. W. Leong
1993 J jnl
Algorithmic and implementation issues in analog low power learning neural network chips.
J. VLSI Signal Process.
Marwan A. Jabri, Stephen Pickard, Philip H. W. Leong, Y. Xie