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Viewing Publication 1 - 55 from 55

2024

S$^{3}$CA: A Sparse Strip Spectral Correlation AnalyzerCarol Jingyi Li, Richard Rademacher, David Boland, Craig T. Jin, Chad M. Spooner, Philip H. W. Leong. spl, 31:646-650, 2024. [doi]

Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering FrameworkYufei Yang, Chenhao Xie 0001, Liansheng Liu, Philip H. W. Leong, Shuaiwen Leon Song. tmc, 23(5):3620-3632, May 2024. [doi]

2023

Predicting dynamic spectrum allocation: a review covering simulation, modelling, and predictionAndrew C. Cullen, Benjamin I. P. Rubinstein, Sithamparanathan Kandeepan, Barry Flower, Philip H. W. Leong. air, 56(10):10921-10959, October 2023. [doi]

Single-Batch CNN Training using Block Minifloats on FPGAsChuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong. fpga 2023: 53 [doi]

BOOST: Block Minifloat-Based On-Device CNN Training Accelerator with Transfer LearningChuliang Guo, Binglei Lou, Xueyuan Liu, David Boland, Philip H. W. Leong, Cheng Zhuo. iccad 2023: 1-9 [doi]

The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless FingerprintingTeng-Hui Huang, Thilini Dahanayaka, Kanchana Thilakarathna, Philip H. W. Leong, Hesham El Gamal. globecom 2023: 820-825 [doi]

On-Board Federated Learning in Orbital Edge ComputingMohammad Reza Jabbarpour, Bahman Javadi, Philip H. W. Leong, Rodrigo N. Calheiros, David Boland, Chris Butler. icpads 2023: 1045-1052 [doi]

A Scalable Systolic Accelerator for Estimation of the Spectral Correlation Density Function and Its FPGA ImplementationXiangwei Li, Douglas L. Maskell, Carol Jingyi Li, Philip H. W. Leong, David Boland. trets, 16(1), March 2023. [doi]

Fixed-point FPGA Implementation of the FFT Accumulation Method for Real-time Cyclostationary AnalysisCarol Jingyi Li, Xiangwei Li, Binglei Lou, Craig T. Jin, David Boland, Philip H. W. Leong. trets, 16(3), September 2023. [doi]

fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection LibraryBinglei Lou, David Boland, Philip H. W. Leong. trets, 16(3), September 2023. [doi]

Performance Analysis and Optimal Design of BATS Code: A Hardware PerspectiveJiaxin Qing, Philip H. W. Leong, Raymond W. Yeung. tvt, 72(8):9733-9745, August 2023. [doi]

2022

Introduction to Special Section on FPGA 2021Philip H. W. Leong. trets, 15(4), 2022. [doi]

Wireless Signal Representation Techniques for Automatic Modulation ClassificationXueyuan Liu, Carol Jingyi Li, Craig T. Jin, Philip H. W. Leong. access, 10:84166-84187, 2022. [doi]

Rethinking Embedded Blocks for Machine Learning ApplicationsSeyedRamin Rasoulinezhad, Esther Roorda, Steve Wilton, Philip H. W. Leong, David Boland. trets, 15(1), 2022. [doi]

FPGA Architecture Exploration for DNN AccelerationEsther Roorda, SeyedRamin Rasoulinezhad, Philip H. W. Leong, Steven J. E. Wilton. trets, 15(3), 2022. [doi]

On-Device Saliency Prediction Based on Pseudoknowledge DistillationAyaz Umer, Chakkrit Termritthikun, Tie Qiu 0001, Philip H. W. Leong, Ivan Lee. tii, 18(9):6317-6325, 2022. [doi]

NITI: Training Integer Neural Networks Using Integer-Only ArithmeticMaolin Wang, SeyedRamin Rasoulinezhad, Philip H. W. Leong, Hayden Kwok-Hay So. tpds, 33(11):3249-3261, 2022. [doi]

FPGA Implementation of N-BEATS for Time Series Forecasting Using Block Minifloat ArithmeticWenjie Zhou, Haoyan Qi, David Boland, Philip H. W. Leong. apccas 2021: 546-550 [doi]

2021

2020

Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable ComputersCyrus Wing-Hei Chan, Philip H. W. Leong, Hayden Kwok-Hay So. iscas 2020: 1-5 [doi]

Nonlinear retinal response modeling for future neuromorphic instrumentationJason Kamran Eshraghian, Seungbum Baek, Timothée Levi, Takashi Kohno, Said F. Al-Sarawi, Philip H. W. Leong, Kyoung-Rok Cho, Derek Abbott, Omid Kavehei. imm, 23(1):21-29, 2020. [doi]

AddNet: Deep Neural Networks Using FPGA-Optimized MultipliersJulian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong. tvlsi, 28(1):115-128, 2020. [doi]

Kernel Normalised Least Mean Squares with Delayed Model AdaptationNicholas J. Fraser, Philip H. W. Leong. trets, 13(2), 2020. [doi]

LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree ImplementationsSeyedRamin Rasoulinezhad, Siddhartha 0003, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong. fpga 2020: 161-171 [doi]

Real-time Automatic Modulation Classification using RFSoCStephen Tridgell, David Boland, Philip H. W. Leong, Ryan Kastner, Alireza Khodamoradi, Siddhartha 0003. ipps 2020: 82-89 [doi]

2019

Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAsSean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong. icfpt 2019: 1-9 [doi]

RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural NetworksCheng Luo, Wei Cao 0002, Lingli Wang, Philip H. W. Leong. ieicet, 102-D(5):1037-1045, 2019. [doi]

A Two-Speed, Radix-4, Serial-Parallel MultiplierDuncan J. M. Moss, David Boland, Philip H. W. Leong. tvlsi, 27(4):769-777, 2019. [doi]

MajorityNets: BNNs Utilising Approximate Popcount for Improved EfficiencySeyedRamin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong. icfpt 2019: 339-342 [doi]

PIR-DSP: An FPGA DSP Block Architecture for Multi-precision Deep Neural NetworksSeyedRamin Rasoulinezhad, Hao Zhou, Lingli Wang, Philip H. W. Leong. fccm 2019: 35-44 [doi]

Real-Time Automatic Modulation ClassificationStephen Tridgell, David Boland, Philip H. W. Leong, Siddhartha 0003. icfpt 2019: 299-302 [doi]

Unrolling Ternary Neural NetworksStephen Tridgell, Martin Kumm, Martin Hardieck, David Boland, Duncan J. M. Moss, Peter Zipf, Philip H. W. Leong. trets, 12(4), 2019. [doi]

2018

Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA ImplementationSiddhartha 0003, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong. milcom 2018: 1-9 [doi]

Simultaneous Inference and Training Using On-FPGA Weight Perturbation TechniquesSiddhartha 0003, Steven J. E. Wilton, David Boland, Barry Flower, Perry Blackmore, Philip H. W. Leong. fpt 2018: 306-309 [doi]

Customizing Low-Precision Deep Neural Networks for FPGAsJulian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland. fpl 2018: 97-100 [doi]

SYQ: Learning Symmetric Quantization for Efficient Deep Neural NetworksJulian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong. cvpr 2018: 4300-4309 [doi]

RNA: An Accurate Residual Network Accelerator for Quantized and Reconstructed Deep Neural NetworksCheng Luo, Yuhua Wang, Wei Cao, Philip H. W. Leong, Lingli Wang. fpl 2018: 60-63 [doi]

Feature Analysis for Discrimination of Motor Unit Action PotentialsThuy T. Pham, Diep N. Nguyen, Eryk Dutkiewicz, Alistair Lee McEwan, Philip H. W. Leong, Andrew J. Fuglevand. ismict 2018: 1-6 [doi]

2015

A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisationNicholas J. Fraser, Duncan J. M. Moss, Junkyu Lee, Stephen Tridgell, Craig T. Jin, Philip H. W. Leong. fpl 2015: 1-6 [doi]

Distributed kernel learning using Kernel Recursive Least SquaresNicholas J. Fraser, Duncan J. M. Moss, Nicolas Epain, Philip H. W. Leong. icassp 2015: 5500-5504 [doi]

MCALIB: Measuring Sensitivity to Rounding Error with Monte Carlo ProgrammingMichael Frechtling, Philip H. W. Leong. TOPLAS, 37(2):5, 2015. [doi]

Technology Scaling in FPGAs: Trends in Applications and ArchitecturesLesley Shannon, Veronica Cojocaru, Cong Nguyen Dao, Philip H. W. Leong. fccm 2015: 1-8 [doi]

Braiding: A scheme for resolving hazards in kernel adaptive filtersStephen Tridgell, Duncan J. M. Moss, Nicholas J. Fraser, Philip H. W. Leong. fpt 2015: 136-143 [doi]

An online algorithm for least-square spectral analysis: Applied to time-frequency analysis of heart rateZhe Zhang, Philip H. W. Leong. embc 2015: 2219-2222 [doi]

2014

Rolling window time series prediction using MapReduceLei Li, Farzad Noorian, Duncan J. M. Moss, Philip H. W. Leong. iri 2014: 757-764 [doi]

An FPGA-based spectral anomaly detection systemDuncan J. M. Moss, Zhe Zhang, Nicholas J. Fraser, Philip H. W. Leong. fpt 2014: 175-182 [doi]

Dynamic hedging of foreign exchange risk using stochastic model predictive controlFarzad Noorian, Philip H. W. Leong. cifer 2014: 441-448 [doi]

2013

A low latency kernel recursive least squares processor using FPGA technologyYeyong Pang, Shaojun Wang, Yu Peng, Nicholas J. Fraser, Philip H. W. Leong. fpt 2013: 144-151 [doi]

A Hybrid Feature Selection and Generation Algorithm for Electricity Load Prediction Using Grammatical EvolutionAnthony Mihirana De Silva, Farzad Noorian, Richard I. A. Davis, Philip H. W. Leong. icmla 2013: 211-217 [doi]

2009

Generation of Synthetic Floating-Point benchmark circuitsT. Chun Pong Chau, S. Man Ho Ho, Philip H. W. Leong, Peter Zipf, Manfred Glesner. ipps 2009: 1-9 [doi]

Towards a unique FPGA-based identification circuit using process variationsHaile Yu, Philip H. W. Leong, Heiko Hinkelmann, Leandro Möller, Manfred Glesner, Peter Zipf. fpl 2009: 397-402 [doi]

2006

Development of a Human Airbag System for Fall Protection Using MEMS Motion Sensing TechnologyGuangyi Shi, Cheung-Shing Chan, Yilun Luo, Guanglie Zhang, Wen J. Li, Philip H. W. Leong, Kwok-Sui Leung. iros 2006: 4405-4410 [doi]

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