Publications

Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So (2023). MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources. (To appear) 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM'23).

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Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden Kwok-Hay So (2023). Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-integer Geometric Programming. (To appear) 2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM'23).

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Yizhao Gao, Baoheng Zhang, Xiaojuan Qi, Hayden Kwok-Hay So (2023). DPACS: Hardware Accelerated Dynamic Neural Network Pruning through Algorithm-Architecture Co-design. The 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems.

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Zhou Ge, Haoyu Wei, Feng Xu, Yizhao Gao, Zhiqin Chu, Hayden Kwok-Hay So, Edmund Lam (2023). Millisecond autofocusing microscopy using neuromorphic event sensing. Optics and Lasers in Engineering.

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Maolin Wang, Seyedramin Rasoulinezhad, Philip H.W. Leong, Hayden Kwok-Hay So (2022). NITI: Training Integer Neural Networks Using Integer-only Arithmetic. IEEE Transactions on Parallel and Distributed Systems.

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Zhou Ge, Pei Zhang, Yizhao Gao, Hayden Kwok-Hay So, Edmund Y. Lam (2022). Lens-free motion analysis via neuromorphic laser speckle imaging. Optics Express 30, 2206-2218 (2022).

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Yizhao Gao, Song Wang, Hayden Kwok-Hay So (2022). REMOT: A Hardware-Software Architecture for Attention-Guided Multi-Object Tracking with Dynamic Vision Sensors on FPGAs. The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. (Best Paper Nominee).

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Lai, Queenie T.K., Gwinky G.K. Yip, Jianglai Wu, Justin S.J. Wong, Michelle C.K. Lo, Kelvin Lee, Tony THD Le, Hayden Kwok-Hay So, Na Ji, Kevin K. Tsia (2021). High-speed laser-scanning biological microscopy using FACED. Nature Protocols.

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Zhou Ge, Yizhao Gao, Hayden Kwok-Hay So, Edmund Lam (2021). Event-based laser speckle correlation for micro motion estimation. Optics Letters.

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Zhen Dong, Yizhao Gao, Qijing Huang, John Wawrzynek, Hayden Kwok-Hay So, Kurt Keutzer (2021). HAO: Hardware-aware Neural Architecture Optimization for Efficient Inference. 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

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Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin (2021). Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

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Maolin Wang, Kelvin C.M. Lee, Bob M.F. Chung, Sharatchandra Varma Bogaraju, Ho-Cheung Ng, Justin S.J. Wong, Ho Cheung Shum, Kevin K. Tsia, Hayden Kwok-Hay So (2021). Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network. IEEE Transactions on Neural Networks and Learning Systems.

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Cyrus Wing-Hei Chan, Philip H.W. Leong, Hayden Kwok-Hay So (2020). Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers. 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

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Siu Dickson MD, Lee Kelvin C.M., Lo Michelle C.K., Stassen Shobana V., Maolin Wang, Zhang Iris Z.Q., Hayden Kwok-Hay So, Chan Godfrey C.F., Cheah Kathryn S.E., Wong Kenneth K.Y. (2020). Deep-learning-assisted biophysical imaging cytometry at massive throughput delineates cell population heterogeneity. Lab on a Chip.

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Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding (2020). FTDL: A tailored FPGA-overlay for deep learning with high scalability. Proceedings of the 57th Annual Design Automation Conference 2020.

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Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin Herbordt, Ang Li, Yanzhi Wang (2020). CSB-RNN: A faster-than-realtime RNN acceleration framework with compressed structured blocks. 2020 International Conference on Supercomputing.

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Junjie Liu, Zhe Xu, Runbin Shi, Ray C.C. Cheung, Hayden Kwok-Hay So (2020). Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. Eighth International Conference on Learning Representations.

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Tianjiao Zeng, Hayden Kwok-Hay So, Edmund Lam (2020). RedCap: residual encoder-decoder capsule network for holographic image reconstruction. Optics Express.

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Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding (2020). FTDL: An FPGA-tailored architecture for deep learning systems. Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.

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Runbin Shi, Peiyan Dong, Tong Geng, Martin Herbordt, Hayden Kwok-Hay So, Yanzhi Wang (2020). A super real-time RNN framework with compressed structured block. 2020 Boston Area Architecture Workshop.

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Shobana Stassen, Dickson Siu, Kelvin Lee, Joshua Ho, Hayden Kwok-Hay So, Kevin Tsia (2020). PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells. Bioinformatics.

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Jie Ran, Rui Lin, Hayden Kwok-Hay So, Graziano Chesi, Ngai Wong (2020). Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. 2020 25th International Conference on Pattern Recognition (ICPR).

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Nina Engelhardt, Hayden Kwok-Hay So (2019). GraVF-M: Graph Processing System Generation for Multi-FPGA Platforms. ACM Transactions on Reconfigurable Technology and Systems (TRETS) Volume 12 Issue 4.

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Ren Zhenbo, Hayden Kwok-Hay So, Edmund Lam (2019). Fringe Pattern Improvement and Super-Resolution Using Deep Learning in Digital Holography. IEEE Transactions on Industrial Informatics.

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Runbin Shi, Junjie Liu, Hayden Kwok-Hay So, Shuo Wang, Yun Liang (2019). E-LSTM: Efficient inference of sparse LSTM on embedded heterogeneous system. Proceedings of the 56th Annual Design Automation Conference 2019.

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2019). PACoGen: A Hardware Posit Arithmetic Core Generator. IEEE Access.

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Runbin Shi, Justin Wong, Edmund Lam, Kevin Tsia, Hayden Kwok-Hay So (2019). A real-time coprime line scan super-resolution system for ultra-fast microscopy. IEEE Transactions on Biomedical Circuits and Systems.

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Runbin Shi, Justin Wong, Hayden Kwok-Hay So (2019). High-throughput line buffer microarchitecture for arbitrary sized streaming image processing. Journal of Imaging.

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2019). Design of quadruple precision multiplier architectures with SIMD single and double precision support. Integration.

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Nan Meng, Edmund Lam, Kevin Tsia, Hayden Kwok-Hay So (2018). Large-scale multi-class image-based cell classification with deep learning. IEEE Journal of Biomedical and Health Informatics.

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Nina Engelhardt, Dominic C-H Hung, Hayden Kwok-Hay So (2018). Performance-driven System Generation for Distributed Vertex-Centric Graph Processing on Multi-FPGA Systems. 2018 28th International Conference on Field Programmable Logic and Applications (FPL).

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2018). Architecture Generator for Type-3 Unum Posit Adder/Subtractor. 2018 IEEE International Symposium on Circuits and Systems.

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2018). Universal number posit arithmetic generator on FPGA. 2018 Design, Automation Test in Europe Conference Exhibition.

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2018). An Unified Architecture for Single, Double, Double-Extended, and Quadruple Precision Division. Circuits, Systems, and Signal Processing.

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Justin Wong, Runbin Shi, Maolin Wang, Hayden Kwok-Hay So (2017). Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory. 2017 International Conference on Field Programmable Technology.

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Sam M.H. Ho, Hayden Kwok-Hay So (2017). NnCore: A parameterized non-linear function generator for machine learning applications in FPGAs. 2017 International Conference on Field Programmable Technology (ICFPT).

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Runbin Shi, Antony Chan, Edmund Lam, Hayden Kwok-Hay So (2017). Image super-resolution for ultrafast optical time-stretch imaging. 25th Congress of the International Commission for Optics.

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Nina Engelhardt, Hayden Kwok-Hay So (2017). Towards Flexible Automatic Generation of Graph Processing Gateware. HEART2017: Proceedings of the 8th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies.

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Sam M.H. Ho, C.H. Dominic Hung, Ho-Cheung Ng, Maolin Wang, Hayden Kwok-Hay So (2017). A parameterizable activation function generator for FPGA-based neural network applications. 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

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Antony Chan, Ho-Cheung Ng, B. Sharat Chandra Varma, Hayden Kwok-Hay So, Edmund Lam, Kevin Tsia (2017). All-passive pixel super-resolution of time-stretch imaging. Scientific Reports.

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Ho-Cheung Ng, Maolin Wang, Bob M.F. Chung, B. Sharat Chandra Varma, Manish Kumar Jaiswal, Sam M.H. Ho, Kevin K. Tsia, Ho Cheung Shum, Hayden Kwok-Hay So (2017). High-throughput cellular imaging with high-speed asymmetric-detection time-stretch optical microscopy under FPGA platform. 2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig).

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Manish Kumar Jaiswal, Hayden Kwok-Hay So (2017). Area-Efficient Architecture for Dual-Mode Double Precision Floating Point Division. IEEE Transactions on Circuits and Systems I: Regular Papers.

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Queenie Lai, Kelvin Lee, Anson Tang, Kenneth Wong, Hayden Kwok-Hay So, Kevin Tsia (2016). High-throughput time-stretch imaging flow cytometry for multi-class classification of phytoplankton. Optics Express.

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Maolin Wang, Ho-Cheung Ng, Bob MF Chung, B. Sharat Chandra Varma, Manish Kumar Jaiswal, Kevin K. Tsia, Ho Cheung Shum, Hayden Kwok-Hay So (2016). Real-time object detection and classification for high-speed asymmetric-detection time-stretch optical microscopy on FPGA. 2016 International Conference on Field Programmable Technology (FPT).

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Sam M.H. Ho, Maolin Wang, Ho-Cheung Ng, Hayden Kwok-Hay So (2016). Towards FPGA-assisted Spark: An SVM training acceleartion case study. 2016 International Conference on ReConFigurable Computing and FPGAs (ReConFig).

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Xing Sun, Nelson Yung, Edmund Lam, Hayden Kwok-Hay So (2016). Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process. IEEE Transactions on Geoscience and Remote Sensing.

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Nina Engelhardt, Hayden Kwok-Hay So (2016). GraVF: A vertex-centric distributed graph processing framework on FPGAs. 2016 26th International Conference on Field Programmable Logic and Applications (FPL).

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Ho-Cheung Ng, Cheng Liu, Hayden Kwok-Hay So (2016). A Soft Processor Overlay with Tightly-coupled FPGA Accelerator. 2nd International Workshop on Overlay Architectures for FPGAs (OLAF 2016.

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Nina Engelhardt, Hayden Kwok-Hay So (2016). Vertex-centric Graph Processing on FPGA. 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

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Cheng Liu, Ho-Cheung Ng, Hayden Kwok-Hay So (2015). QuickDough: a rapid FPGA loop accelerator design framework using soft CGRA overlay. 2015 International Conference on Field Programmable Technology (FPT).

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Cheng Liu, Ho-Cheung Ng, Hayden Kwok-Hay So (2015). Automatic Nested Loop Acceleration on FPGAs Using Soft CGRA Overlay. The Second International Workshop on FPGAs for Software Programmers.

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Manish Kumar Jaiswal, B. Sharat Chandra Varma, Hayden Kwok-Hay So (2015). Configurable Architectures for Multi-Mode Floating Point Adders. IEEE Transactions on Circuits and Systems I: Regular Papers.

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Ho-Cheung Ng, Yuk-Ming Choi, Hayden Kwok-Hay So (2013). Direct Virtual Memory Access from FPGA for High-Productivity Heterogeneous Computing. 2013 International Conference on Field-Programmable Technology (FPT).

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Colin Yu Lin, Hayden Kwok-Hay So (2012). Energy-efficient dataflow computations on FPGAs using application-specific coarse-grain architecture synthesis. ACM SIGARCH Computer Architecture News.

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Colin Yu Lin, Ngai Wong, Hayden Kwok-Hay So (2009). Operation scheduling for FPGA-based reconfigurable computers. 2009 International Conference on Field Programmable Logic and Applications.

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