Philip H. W. Leong

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 51

Top Topics

Least Mean Square

Fpga Implementation

Design Space Exploration

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Binglei Lou, David Boland, Philip H. W. Leong
fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library. CoRR (2024)
Carol Jingyi Li, Richard Rademacher, David Boland, Craig T. Jin, Chad M. Spooner, Philip H. W. Leong
S$^{3}$CA: A Sparse Strip Spectral Correlation Analyzer. IEEE Signal Process. Lett. 31 (2024)
Yufei Yang, Chenhao Xie, Liansheng Liu, Philip H. W. Leong, Shuaiwen Leon Song
Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering Framework. IEEE Trans. Mob. Comput. 23 (5) (2024)
Binglei Lou, Richard Rademacher, David Boland, Philip H. W. Leong
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs. CoRR (2024)
Xiangwei Li, Douglas L. Maskell, Carol Jingyi Li, Philip H. W. Leong, David Boland
A Scalable Systolic Accelerator for Estimation of the Spectral Correlation Density Function and Its FPGA Implementation. ACM Trans. Reconfigurable Technol. Syst. 16 (1) (2023)
Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler
Performance Analysis of Federated Learning in Orbital Edge Computing. UCC (2023)
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo
BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer Learning. ICCAD (2023)
Jiaxin Qing, Philip H. W. Leong, Raymond W. Yeung
Performance Analysis and Optimal Design of BATS Code: A Hardware Perspective. IEEE Trans. Veh. Technol. 72 (8) (2023)
Binglei Lou, David Boland, Philip H. W. Leong
fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection Library. ACM Trans. Reconfigurable Technol. Syst. 16 (3) (2023)
Mohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler
On-Board Federated Learning in Orbital Edge Computing. ICPADS (2023)
Andrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong
Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction. Artif. Intell. Rev. 56 (10) (2023)
Chuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong
Single-Batch CNN Training using Block Minifloats on FPGAs. FPGA (2023)
Carol Jingyi Li, Xiangwei Li, Binglei Lou, Craig T. Jin, David Boland, Philip H. W. Leong
Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary Analysis. ACM Trans. Reconfigurable Technol. Syst. 16 (3) (2023)
Teng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting. CoRR (2023)
Teng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting. GLOBECOM (2023)
Ayaz Umer, Chakkrit Termritthikun, Tie Qiu, Philip H. W. Leong, Ivan Lee
On-Device Saliency Prediction Based on Pseudoknowledge Distillation. IEEE Trans. Ind. Informatics 18 (9) (2022)
Xueyuan Liu, Carol Jingyi Li, Craig T. Jin, Philip H. W. Leong
Wireless Signal Representation Techniques for Automatic Modulation Classification. IEEE Access 10 (2022)
Wenjie Zhou, Haoyan Qi, David Boland, Philip H. W. Leong
FPGA Implementation of N-BEATS for Time Series Forecasting Using Block Minifloat Arithmetic. APCCAS (2022)
Esther Roorda, Seyedramin Rasoulinezhad, Philip H. W. Leong, Steven J. E. Wilton
FPGA Architecture Exploration for DNN Acceleration. ACM Trans. Reconfigurable Technol. Syst. 15 (3) (2022)
Philip H. W. Leong
Introduction to Special Section on FPGA 2021. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Seyedramin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland
Rethinking Embedded Blocks for Machine Learning Applications. ACM Trans. Reconfigurable Technol. Syst. 15 (1) (2022)
Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
NITI: Training Integer Neural Networks Using Integer-Only Arithmetic. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Sean Fox, SeyedRamin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong
A Block Minifloat Representation for Training Deep Neural Networks. ICLR (2021)
Yuan Dai, Simin Liu, Yao Lu, Hao Zhou, SeyedRamin Rasoulinezhad, Philip H. W. Leong, Lingli Wang
APIR-DSP: An approximate PIR-DSP architecture for error-tolerant applications. FPT (2021)
SeyedRamin Rasoulinezhad, David Boland, Philip H. W. Leong
MLBlocks: FPGA Blocks for Machine Learning Applications. FPGA (2021)
Stephen Tridgell, David Boland, Philip H. W. Leong, Ryan Kastner, Alireza Khodamoradi, Siddhartha
Real-time Automatic Modulation Classification using RFSoC. IPDPS Workshops (2020)
Cyrus Wing-Hei Chan, Philip H. W. Leong, Hayden Kwok-Hay So
Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers. ISCAS (2020)
SeyedRamin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. CoRR (2020)
SeyedRamin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency. CoRR (2020)
Jason Kamran Eshraghian, Seungbum Baek, Timothée Levi, Takashi Kohno, Said F. Al-Sarawi, Philip H. W. Leong, Kyoung-Rok Cho, Derek Abbott, Omid Kavehei
Nonlinear retinal response modeling for future neuromorphic instrumentation. IEEE Instrum. Meas. Mag. 23 (1) (2020)
Maolin Wang, SeyedRamin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So
NITI: Training Integer Neural Networks Using Integer-only Arithmetic. CoRR (2020)
Nicholas J. Fraser, Philip H. W. Leong
Kernel Normalised Least Mean Squares with Delayed Model Adaptation. ACM Trans. Reconfigurable Technol. Syst. 13 (2) (2020)
SeyedRamin Rasoulinezhad, Siddhartha, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations. FPGA (2020)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Duncan J. M. Moss, David Boland, Philip H. W. Leong
A Two-Speed, Radix-4, Serial-Parallel Multiplier. IEEE Trans. Very Large Scale Integr. Syst. 27 (4) (2019)
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
Unrolling Ternary Neural Networks. CoRR (2019)
Sean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong
Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs. FPT (2019)
Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. CoRR (2019)
Cheng Luo, Wei Cao, Lingli Wang, Philip H. W. Leong
RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks. IEICE Trans. Inf. Syst. (5) (2019)
SeyedRamin Rasoulinezhad, Hao Zhou, Lingli Wang, Philip H. W. Leong
PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural Networks. FCCM (2019)
SeyedRamin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency. FPT (2019)
Stephen Tridgell, David Boland, Philip H. W. Leong, Siddhartha
Real-Time Automatic Modulation Classification. FPT (2019)
Stephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong
Unrolling Ternary Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 12 (4) (2019)
Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong
Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. MILCOM (2018)
Cheng Luo, Yuhua Wang, Wei Cao, Philip H. W. Leong, Lingli Wang
RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural Networks. FPL (2018)
Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. CVPR (2018)
Siddhartha, Steven J. E. Wilton, David Boland, Barry Flower, Perry Blackmore, Philip H. W. Leong
Simultaneous Inference and Training Using On-FPGA Weight Perturbation Techniques. FPT (2018)
Thuy T. Pham, Diep N. Nguyen, Eryk Dutkiewicz, Alistair Lee McEwan, Philip H. W. Leong, Andrew J. Fuglevand
Feature Analysis for Discrimination of Motor Unit Action Potentials. ISMICT (2018)
Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland
Customizing Low-Precision Deep Neural Networks for FPGAs. FPL (2018)
Shaojun Wang, Xinyu Niu, Ning Ma, Wayne Luk, Philip H. W. Leong, Yu Peng
A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification. ARC (2016)
Jian Yan, Jifang Jin, Ying Wang, Xuegong Zhou, Philip H. W. Leong, Lingli Wang
UniStream: A unified stream architecture combining configuration and data processing. FPL (2015)
Jian Yan, Junqi Yuan, Ying Wang, Philip H. W. Leong, Lingli Wang
Design space exploration for FPGA-based hybrid multicore architecture. FPT (2014)
Richard Davis, Sanjay Chawla, Philip H. W. Leong
Feature Graph Architectures. CoRR (2013)
Marwan A. Jabri, Stephen Pickard, Philip H. W. Leong, Y. Xie
Algorithmic and implementation issues in analog low power learning neural network chips. J. VLSI Signal Process. 6 (1) (1993)