Hongxiang Fan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 53

Top Topics

Variational Inference

Particle Physics

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li, Ce Guo, Wayne Luk
Low Latency Variational Autoencoder on FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. 14 (2) (2024)
Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk
Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network. CoRR (2024)
Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR (2024)
Shuanglong Liu, Hongxiang Fan, Wayne Luk
Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. CoRR (2024)
Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA. CoRR (2024)
Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR (2024)
Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan
Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. ISCA (2024)
Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
SAE: Single Architecture Ensemble Neural Networks. CoRR (2024)
Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. DAC (2023)
Hongxiang Fan, Hao Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. CoRR (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO (2023)
He Li, Jiawei Liang, Hongxiang Fan, Yongming Tang
Design Space Exploration for Efficient Quantum Most-Significant Digit-First Arithmetic. IEEE Trans. Computers 72 (6) (2023)
Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, He Li, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk
Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 16 (1) (2023)
Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR (2023)
Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk
Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. 30 (2) (2022)
Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. ASP-DAC (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Hongxiang Fan, Martin Ferianc, Wayne Luk
Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. DAC (2022)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors. CoRR (2022)
Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan
Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. ISCAS (2022)
Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs. FPL (2022)
Hongxiang Fan, Ce Guo, Wayne Luk
Optimizing quantum circuit placement via machine learning. DAC (2022)
Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO (2022)
He Li, Hongxiang Fan, Jiawei Liang
Quantum Most-Significant Digit-First Addition. IGSC (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC (2021)
Shuanglong Liu, Hongxiang Fan, Wayne Luk
Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA. DATE (2021)
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT (2021)
Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR (2021)
Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR (2021)
Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) (2021)
Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR (2021)
Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR (2020)
Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. ICCD (2020)
Zhiqiang Que, Yongxin Zhu, Hongxiang Fan, Jiuxi Meng, Xinyu Niu, Wayne Luk
Mapping Large LSTMs to FPGAs with Weight Reuse. J. Signal Process. Syst. 92 (9) (2020)
Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk
A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks. FPT (2020)
Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk
Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks. ARC (2020)
Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk
Optimizing Reconfigurable Recurrent Neural Networks. FCCM (2020)
Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo
Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism. FCCM (2019)
Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk
F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. ASAP (2019)
Hongxiang Fan, Gang Wang, Martin Ferianc, Xinyu Niu, Wayne Luk
Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA. FPT (2019)
Hongxiang Fan, Ho-Cheung Ng, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation. FPL (2018)
Hongxiang Fan, Shuanglong Liu, Martin Ferianc, Ho-Cheung Ng, Zhiqiang Que, Shen Liu, Xinyu Niu, Wayne Luk
A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA. FPT (2018)
Shuanglong Liu, Chenglong Zeng, Hongxiang Fan, Ho-Cheung Ng, Jiuxi Meng, Zhiqiang Que, Xinyu Niu, Wayne Luk
Memory-Efficient Architecture for Accelerating Generative Networks on FPGA. FPT (2018)
Shuanglong Liu, Hongxiang Fan, Xinyu Niu, Ho-Cheung Ng, Yang Chu, Wayne Luk
Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA. ACM Trans. Reconfigurable Technol. Syst. 11 (3) (2018)
Hongxiang Fan, Xinyu Niu, Qiang Liu, Wayne Luk
F-C3D: FPGA-based 3-dimensional convolutional neural network. FPL (2017)
Song Xu, Qiang Liu, Tao Li, Hongxiang Fan
IC security evaluation against fault injection attack based on FPGA emulation. FPT (2016)