Philip H. W. Leong

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Towards High-Performance Network Coding: FPGA Acceleration With Bounded-value Generators	2025	Jiaxin Qing Philip H. W. Leong Kin Hong Lee Raymond W. Yeung
+ PDF Chat	PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs	2024	Binglei Lou Richard Rademacher David Boland Philip H. W. Leong
+ PDF Chat	The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting	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	2023	Teng-Hui Huang Thilini Dahanayaka Kanchana Thilakarathna Philip H. W. Leong Hesham El Gamal
+	fSEAD: A Composable FPGA-based Streaming Ensemble Anomaly Detection Library	2022	Binglei Lou David Boland Philip H. W. Leong
+ PDF Chat	NITI: Training Integer Neural Networks Using Integer-Only Arithmetic	2022	Maolin Wang S A Rasoulinezhad Philip H. W. Leong Hayden Kwok‐Hay So
+ PDF Chat	LUXOR	2020	S A Rasoulinezhad Siddhartha Hao Zhou Lingli Wang David Boland Philip H. W. Leong
+ PDF Chat	MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency	2019	S A Rasoulinezhad Sean Fox Hao Zhou Lingli Wang David Boland Philip H. W. Leong
+ PDF Chat	Unrolling Ternary Neural Networks	2019	Stephen Tridgell Martin Kumm Martin Hardieck David Boland Duncan J. M. Moss Peter Zipf Philip H. W. Leong
+ PDF Chat	AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers	2019	Julian Faraone Martin Kumm Martin Hardieck Peter Zipf Xueyuan Liu David Boland Philip H. W. Leong
+	Unrolling Ternary Neural Networks	2019	Stephen Tridgell Martin Kumm Martin Hardieck David Boland Duncan J. M. Moss Peter Zipf Philip H. W. Leong
+	Unrolling Ternary Neural Networks	2019	Stephen Tridgell Martin Kumm Martin Hardieck David Boland Duncan Moss Peter Zipf Philip H. W. Leong
+	SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong
+ PDF Chat	SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks	2018	Julian Faraone Nicholas J. Fraser Michaela Blott Philip H. W. Leong
+ PDF Chat	Accuracy to Throughput Trade-Offs for Reduced Precision Neural Networks on Reconfigurable Logic	2018	Su Jiang Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong Peter Y. K. Cheung
+	Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic	2018	Su Jiang Nicholas J. Fraser Giulio Gambardella Michaela Blott Gianluca Durelli David B. Thomas Philip H. W. Leong Peter Y. K. Cheung
+	SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks	2018	Julian Faraone Nicholas C. Fraser Michaela Blott Philip H. W. Leong
+	A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data	2017	Yongfu He Peng Yu Shaojun Wang Datong Liu Philip H. W. Leong
+	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas J. Fraser Giulio Gamberdella Michaela Blott Philip H. W. Leong
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+ PDF Chat	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+ PDF Chat	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong
+	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers
+	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong
+ PDF Chat	Functional Basis for Efficient Physical Layer Classical Control in Quantum Processors	2016	Harrison Ball Trung Duc Nguyen Philip H. W. Leong Michael J. Biercuk
+	On Time Series Forecasting Error Measures for Finite Horizon Control	2016	Farzad Noorian Philip H. W. Leong
+ PDF Chat	Active temporal multiplexing of indistinguishable heralded single photons	2016	Chi Xiong Xianjie Zhang Zhenyu Liu Matthew J. Collins Andri Mahendra L. G. Helt M. J. Steel Duk‐Yong Choi Chang-Joon Chae Philip H. W. Leong
+	Compact and reconfigurable silicon nitride time-bin entanglement circuit	2015	Chunle Xiong Xin Zhang Andri Mahendra Jie He Duk‐Yong Choi Chang-Joon Chae David Marpaung Arne Leinse René Heideman Marcel Hoekman
+	Feature Graph Architectures	2013	Richard Davis Sanjay Chawla Philip H. W. Leong
+	Hardware Efficient Architectures for Eigenvalue Computation	2006	Yang Liu Christos-Savvas Bouganis Peter Y. K. Cheung Philip H. W. Leong Steve Motley
+	A Comment on the Implementation of the Ziggurat Method	2005	Philip H. W. Leong Guanglie Zhang Dong-U Lee Wayne Luk John Villasenor

Common Coauthors

Coauthor	Papers Together
Michaela Blott	11
David Boland	8
Nicholas J. Fraser	8
Julian Faraone	7
Giulio Gambardella	7
Peter Zipf	4
Martin Hardieck	4
Martin Kumm	4
Nicholas C. Fraser	3
Kees Vissers	3
S A Rasoulinezhad	3
Yaman Umuroglu	3
Peter Y. K. Cheung	3
Stephen Tridgell	3
Magnus Jahre	3
Chang-Joon Chae	2
Lingli Wang	2
Duk‐Yong Choi	2
Su Jiang	2
Teng-Hui Huang	2
Binglei Lou	2
Benjamin J. Eggleton	2
Kanchana Thilakarathna	2
Thilini Dahanayaka	2
David B. Thomas	2
Gianluca Durelli	2
Andri Mahendra	2
Hao Zhou	2
Duncan J. M. Moss	2
Hesham El Gamal	2
Chi Xiong	1
Christos-Savvas Bouganis	1
Maolin Wang	1
Caterina Taddei	1
M. J. Steel	1
Chris Roeloffzen	1
Richard Rademacher	1
Arne Leinse	1
Farzad Noorian	1
David Marpaung	1
René Heideman	1
Wayne Luk	1
Kin Hong Lee	1
Dong-U Lee	1
Marcel Hoekman	1
Datong Liu	1
Richard Davis	1
Sean Fox	1
Yongfu He	1
Jie He	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	FINN	2017	Yaman Umuroglu Nicholas J. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	12
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	10
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	9
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	8
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	6
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	6
+	BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Yoshua Bengio	5
+ PDF Chat	Accelerating Deep Convolutional Networks using low-precision and sparsity	2017	Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr	5
+ PDF Chat	Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks	2017	Julian Faraone Nicholas C. Fraser Giulio Gambardella Michaela Blott Philip H. W. Leong	4
+	Resiliency of Deep Neural Networks under Quantization	2015	Wonyong Sung Sungho Shin Kyuyeon Hwang	4
+	Ternary Weight Networks	2016	Fengfu Li Bin Liu	4
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	4
+ PDF Chat	Scaling Binarized Neural Networks on Reconfigurable Logic	2017	Nicholas J. Fraser Yaman Umuroglu Giulio Gambardella Michaela Blott Philip H. W. Leong Magnus Jahre Kees Vissers	4
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+	Trained Ternary Quantization	2016	Chenzhuo Zhu Song Han Huizi Mao William J. Dally	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	3
+	Convolutional Neural Networks using Logarithmic Data Representation	2016	Daisuke Miyashita Edward H. Lee Boris Murmann	3
+	Ternary Neural Networks with Fine-Grained Quantization	2017	Naveen Mellempudi Abhisek Kundu Dheevatsa Mudigere Dipankar Das Bharat Kaul Pradeep Dubey	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+ PDF Chat	Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform	2018	Chaim Baskin Natan Liss Evgenii Zheltonozhskii Alex Bronstein Avi Mendelson	2
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+	Binarized Neural Networks	2016	Itay Hubara Daniel Soudry Ran El Yaniv	2
+	Natural Language Processing (almost) from Scratch	2011	Ronan Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa	2
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration	2017	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini	2
+ PDF Chat	NEURA <scp>ghe</scp>	2018	Paolo Meloni Alessandro Capotondi Gianfranco Deriu Michele Brian Francesco Conti Davide Rossi Luigi Raffo Luca Benini	2
+ PDF Chat	FPGA-based CNN inference accelerator synthesized from multi-threaded C software	2017	Jin Hee Kim Brett Grady Ruolong Lian John Brothers Jason H. Anderson	2
+	Deep Learning with Low Precision by Half-wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	2
+	Predicting Parameters in Deep Learning	2013	Misha Denil Babak Shakibi Laurent Dinh Marc’Aurelio Ranzato Nando de Freitas	2
+	Low precision arithmetic for deep learning	2014	Matthieu Courbariaux Yoshua Bengio Jean‐Pierre David	2
+ PDF Chat	Deep Learning with Low Precision by Half-Wave Gaussian Quantization	2017	Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos	2
+	ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections	2017	Sujith Ravi	2
+	Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations	2016	Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+ PDF Chat	Convolutional networks for fast, energy-efficient neuromorphic computing	2016	Steven K. Esser Paul Merolla John V. Arthur Andrew Cassidy Rathinakumar Appuswamy Alexander Andreopoulos David Van Den Berg Jeffrey L. McKinstry Timothy Melano Davis Barch	2
+	Bitwise Neural Networks	2016	Minje Kim Paris Smaragdis	2
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	2
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	2
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	Fractional Max-Pooling	2014	Benjamin Graham	2
+ PDF Chat	Quantized Convolutional Neural Networks for Mobile Devices	2016	Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng	2
+	A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks	2017	Yixing Li Zichuan Liu Kai Xu Hao Yu Fengbo Ren	2
+	Accelerating Deep Convolutional Networks using low-precision and sparsity	2016	Ganesh Venkatesh Eriko Nurvitadhi Debbie Marr	2
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Combining dynamical decoupling with fault-tolerant quantum computation	2011	Hui Khoon Ng Daniel A. Lidar John Preskill	1
+ PDF Chat	Quantum teleportation on a photonic chip	2014	Benjamin J. Metcalf Justin B. Spring Peter C. Humphreys Nicholas Thomas-Peter Marco Barbieri W. Steven Kolthammer Xian‐Min Jin Nathan K. Langford Dmytro Kundys James C. Gates	1