Hongxiang Fan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | Hardware-Efficient Union-Find Decoder Towards Scalable Topological Quantum Codes. | Shuang Liang, Jubo Xu, Yuncheng Lu, Hao Mark Chen, Bo Yuan, Hongxiang Fan |
| 2026 | ASPDAC | Enhancing Trustworthiness with Mixed Precision: Benchmarks, Opportunities, and Challenges. | Guanxi Lu, Hao Mark Chen, Zhiqiang Que, Wayne Luk, Hongxiang Fan |
| 2026 | ASPLOS | FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning. | Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan |
| 2026 | FCCM | SPAC: Automating FPGA-based Network Switches with Protocol Adaptive Customization. | Guoyu Li, Yang Cao, Lucas H. L. Ng, Alexander Charlton, Qianzhou Wang, Will Punter, Philippos Papaphilippou, Ce Guo, Hongxiang Fan, Wayne Luk, Saman P. Amarasinghe, Ajay Brahmakshatriya |
| 2026 | HPCA | Advancing Full-Stack Acceleration for SchrDinger-Style Quantum Simulation. | Shuang Liang, Yuncheng Lu, Ce Guo, Paul H. J. Kelly, Wayne Luk, Hongxiang Fan |
| 2026 | ISCA | Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design. | Shuang Liang, Jubo Xu, Giulio Bassanino, Qianzhou Wang, Yidong Zhou, Yuncheng Lu, Zhiwen Mo, Paul H. J. Kelly, Bo Yuan, Wayne Luk, Hongxiang Fan |
| 2026 | ISCA | Efficient 3D Gaussian Splatting with Axis-Shared Rasterization and Order-independent Transmittance. | Zhican Wang, Guanghui He, Lingjun Gao, Dantong Liu, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Hongxiang Fan |
| 2026 | ISCA | Combating the Memory Walls: Optimization Pathways for Long-Context Agentic Llm Inference. | Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Chengyang Ai, Timi Adeniran, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao |
| 2025 | ASPDAC | Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. | Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan |
| 2025 | DAC | Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. | Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan |
| 2025 | DAC | Versatile Cross-platform Compilation Toolchain for Schrdinger-style Quantum Circuit Simulation. | Yuncheng Lu, Shuang Liang, Hongxiang Fan, Ce Guo, Wayne Luk, Paul H. J. Kelly |
| 2025 | DAC | VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator. | Zhican Wang, Hongxiang Fan, Haroon Waris, Gang Wang, Zhenyu Li, Jianfei Jiang, Yanan Sun, Guanghui He |
| 2025 | EMNLP | Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. | Hao Mark Chen, Wayne Luk, Yiu Ka Fai Cedric, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan |
| 2025 | ICCV | FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. | Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan |
| 2025 | ICLR | Progressive Mixed-Precision Decoding for Efficient LLM Inference. | Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris |
| 2024 | BMVC | SAE: Single Architecture Ensemble Neural Networks. | Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues |
| 2024 | DAC | Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. | Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk |
| 2024 | ICLR | Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. | Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane |
| 2024 | ISCA | Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. | Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan |
| 2023 | DAC | When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. | Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk |
| 2023 | MICRO | Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. | Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane |
| 2022 | ASPDAC | Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. | Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk |
| 2022 | DAC | Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. | Hongxiang Fan, Martin Ferianc, Wayne Luk |
| 2022 | DAC | Optimizing quantum circuit placement via machine learning. | Hongxiang Fan, Ce Guo, Wayne Luk |
| 2022 | FPL | Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs. | Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk |
| 2022 | ISCAS | Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. | Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan |
| 2022 | MICRO | Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. | Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah |
| 2021 | DAC | High-Performance FPGA-based Accelerator for Bayesian Neural Networks. | Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk |
| 2021 | DATE | Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA. | Shuanglong Liu, Hongxiang Fan, Wayne Luk |
| 2021 | ICANN | ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. | Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues |
| 2020 | FCCM | Optimizing Reconfigurable Recurrent Neural Networks. | Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk |
| 2020 | ICCD | Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. | Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk |
| 2019 | FCCM | Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism. | Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo |
| 2018 | FPL | Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation. | Hongxiang Fan, Ho-Cheung Ng, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk |
| 2017 | FPL | F-C3D: FPGA-based 3-dimensional convolutional neural network. | Hongxiang Fan, Xinyu Niu, Qiang Liu, Wayne Luk |