Hongxiang Fan - RankMe

87 papers A* 15A 2B 3C 2Misc 2Journal 45Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Advancing Full-Stack Acceleration for SchröDinger-Style Quantum Simulation. HPCA Shuang Liang, Yuncheng Lu, Ce Guo, Paul H. J. Kelly, Wayne Luk, Hongxiang Fan
2026	J	`jnl`	Dynamic Expert Sharing: Decoupling Memory from Parallelism in Mixture-of-Experts Diffusion LLMs. CoRR Hao Mark Chen, Zhiwen Mo, Royson Lee, Qianzhou Wang, Da Li, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2026	—	`conf`	Enhancing Trustworthiness with Mixed Precision: Benchmarks, Opportunities, and Challenges. ASP-DAC Guanxi Lu, Hao Mark Chen, Zhiqiang Que, Wayne Luk, Hongxiang Fan
2026	—	`conf`	FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning. ASPLOS (2) Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan
2026	—	`conf`	Hardware-Efficient Union-Find Decoder Towards Scalable Topological Quantum Codes. ASP-DAC Shuang Liang, Jubo Xu, Yuncheng Lu, Hao Mark Chen, Bo Yuan, Hongxiang Fan
2025	J	`jnl`	Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization. CoRR Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size. CoRR Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan
2025	J	`jnl`	Advancing AI-assisted Hardware Design with Hierarchical Decentralized Training and Personalized Inference-Time Optimization. CoRR Hao Mark Chen, Zehuan Zhang, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. CoRR Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas D. Lane
2025	J	`jnl`	CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics. CoRR Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Bofan Chen, Nicholas D. Lane
2025	J	`jnl`	Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference. CoRR Haoran Wu, Can Xiao, Jiayi Nie, Xuan Guo, Binglei Lou, Jeffrey T. H. Wong, Zhiwen Mo, Cheng Zhang, Przemyslaw Forys, Wayne Luk, Hongxiang Fan, Jianyi Cheng, Timothy M. Jones, Rika Antonova, Robert Mullins, Aaron Zhao
2025	J	`jnl`	DESA: Dataflow Efficient Systolic Array for Acceleration of Transformers. IEEE Trans. Computers Zhican Wang, Hongxiang Fan, Guanghui He
2025	J	`jnl`	Democratizing Agentic AI with Fast Test-Time Scaling on the Edge. CoRR Hao Mark Chen, Zhiwen Mo, Guanxi Lu, Shuang Liang, Lingxiao Ma, Wayne Luk, Hongxiang Fan
2025	A*	`conf`	Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. DAC Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction. CoRR Charlie Campbell, Hao Mark Chen, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	Enhancing Trustworthiness with Mixed Precision: Benchmarks, Opportunities, and Challenges. CoRR Guanxi Lu, Hao Mark Chen, Zhiqiang Que, Wayne Luk, Hongxiang Fan
2025	—	`conf`	Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. ASP-DAC Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. CoRR Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan
2025	J	`jnl`	FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization. CoRR Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy M. Hospedales, Hongxiang Fan
2025	—	`conf`	Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. EMNLP (Findings) Hao Mark Chen, Wayne Luk, Yiu Ka Fai Cedric, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
2025	J	`jnl`	MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration. CoRR Zhiqiang Que, José Gabriel F. Coutinho, Ce Guo, Hongxiang Fan, Wayne Luk
2025	A*	`conf`	Progressive Mixed-Precision Decoding for Efficient LLM Inference. ICLR Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris
2025	J	`jnl`	Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling. CoRR Hao Mark Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan
2025	J	`jnl`	SD-Acc: Accelerating Stable Diffusion through Phase-aware Sampling and Hardware Co-Optimizations. CoRR Zhican Wang, Guanghui He, Hongxiang Fan
2025	—	`conf`	Trustworthy Deep Learning Acceleration with Customizable Design Flow Automation. HEART Zhiqiang Que, Hongxiang Fan, Gabriel F. Figueiredo, Ce Guo, Wayne Luk, Ryota Yasudo, Masato Motomura
2025	A*	`conf`	VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator. DAC Zhican Wang, Hongxiang Fan, Haroon Waris, Gang Wang, Zhenyu Li, Jianfei Jiang, Yanan Sun, Guanghui He
2025	J	`jnl`	VEDA: Efficient LLM Generation Through Voting-based KV Cache Eviction and Dataflow-flexible Accelerator. CoRR Zhican Wang, Hongxiang Fan, Haroon Waris, Gang Wang, Zhenyu Li, Jianfei Jiang, Yanan Sun, Guanghui He
2025	A*	`conf`	Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation. DAC Yuncheng Lu, Shuang Liang, Hongxiang Fan, Ce Guo, Wayne Luk, Paul H. J. Kelly
2025	J	`jnl`	Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation. CoRR Yuncheng Lu, Shuang Liang, Hongxiang Fan, Ce Guo, Wayne Luk, Paul H. J. Kelly
2024	—	`conf`	Accelerating MRI Uncertainty Estimation with Mask-Based Bayesian Neural Network. ASAP Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk
2024	J	`jnl`	Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network. CoRR Zehuan Zhang, Matej Genci, Hongxiang Fan, Andreas Wetscherek, Wayne Luk
2024	A*	`conf`	Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages. ICLR Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane
2024	A*	`conf`	CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics. NeurIPS Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Wangchunshu Zhou, Nicholas D. Lane
2024	A*	`conf`	Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. ISCA Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan
2024	J	`jnl`	Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration. IEEE Trans. Neural Networks Learn. Syst. Shuanglong Liu, Hongxiang Fan, Wayne Luk
2024	J	`jnl`	Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGA. CoRR Hao Mark Chen, Liam Castelli, Martin Ferianc, Hongyu Zhou, Shuanglong Liu, Wayne Luk, Hongxiang Fan
2024	A*	`conf`	Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. DAC Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
2024	J	`jnl`	Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA. CoRR Zehuan Zhang, Hongxiang Fan, Hao Mark Chen, Lukasz Dudziak, Wayne Luk
2024	J	`jnl`	Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference. CoRR Hao Mark Chen, Wayne Luk, Ka Fai Cedric Yiu, Rui Li, Konstantin Mishchenko, Stylianos I. Venieris, Hongxiang Fan
2024	J	`jnl`	LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics. ACM Trans. Embed. Comput. Syst. Zhiqiang Que, Hongxiang Fan, Marcus Loo, He Li, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
2024	J	`jnl`	Low Latency Variational Autoencoder on FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. Zhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li, Ce Guo, Wayne Luk
2024	J	`jnl`	Progressive Mixed-Precision Decoding for Efficient LLM Inference. CoRR Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos I. Venieris
2024	A	`conf`	SAE: Single Architecture Ensemble Neural Networks. BMVC Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues
2024	J	`jnl`	SAE: Single Architecture Ensemble Neural Networks. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2023	J	`jnl`	Design Space Exploration for Efficient Quantum Most-Significant Digit-First Arithmetic. IEEE Trans. Computers He Li, Jiawei Liang, Hongxiang Fan, Yongming Tang
2023	J	`jnl`	High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point. IEEE Trans. Neural Networks Learn. Syst. Hongxiang Fan, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
2023	J	`jnl`	Remarn: A Reconfigurable Multi-threaded Multi-core Accelerator for Recurrent Neural Networks. ACM Trans. Reconfigurable Technol. Syst. Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, He Li, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk
2023	A*	`conf`	Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. MICRO Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
2023	J	`jnl`	Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. CoRR Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane
2023	A*	`conf`	When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. DAC Hongxiang Fan, Mark Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
2023	J	`jnl`	When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA. CoRR Hongxiang Fan, Hao Chen, Liam Castelli, Zhiqiang Que, He Li, Kenneth Long, Wayne Luk
2022	J	`jnl`	Accelerating Bayesian Neural Networks via Algorithmic and Hardware Optimizations. IEEE Trans. Parallel Distributed Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	A*	`conf`	Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. MICRO Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022	J	`jnl`	Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. CoRR Hongxiang Fan, Thomas Chun-Pong Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah
2022	—	`conf`	Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. ASP-DAC Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
2022	C	`conf`	Customizable FPGA-based Accelerator for Binarized Graph Neural Networks. ISCAS Ziwei Wang, Zhiqiang Que, Wayne Luk, Hongxiang Fan
2022	A*	`conf`	Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. DAC Hongxiang Fan, Martin Ferianc, Wayne Luk
2022	J	`jnl`	FPGA-Based Acceleration for Bayesian Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hongxiang Fan, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Miguel R. D. Rodrigues, Wayne Luk
2022	J	`jnl`	LL-GNN: Low Latency Graph Neural Networks on FPGAs for Particle Detectors. CoRR Zhiqiang Que, Marcus Loo, Hongxiang Fan, Michaela Blott, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
2022	B	`conf`	Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs. FPL Zhiqiang Que, Marcus Loo, Hongxiang Fan, Maurizio Pierini, Alexander D. Tapper, Wayne Luk
2022	A*	`conf`	Optimizing quantum circuit placement via machine learning. DAC Hongxiang Fan, Ce Guo, Wayne Luk
2022	J	`jnl`	Recurrent Neural Networks With Column-Wise Matrix-Vector Multiplication on FPGAs. IEEE Trans. Very Large Scale Integr. Syst. Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Andrew Boutros, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Wayne Luk
2022	J	`jnl`	Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs. IEEE Trans. Neural Networks Learn. Syst. Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk
2021	A	`conf`	Accelerating Fully Spectral CNNs with Adaptive Activation Functions on FPGA. DATE Shuanglong Liu, Hongxiang Fan, Wayne Luk
2021	J	`jnl`	Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. CoRR Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk
2021	—	`conf`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. ICANN (3) Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	J	`jnl`	ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. CoRR Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues
2021	A*	`conf`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. DAC Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Neural Networks. CoRR Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk
2021	J	`jnl`	High-Performance FPGA-based Accelerator for Bayesian Recurrent Neural Networks. CoRR Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2021	—	`conf`	Optimizing Bayesian Recurrent Neural Networks on an FPGA-based Accelerator. FPT Martin Ferianc, Zhiqiang Que, Hongxiang Fan, Wayne Luk, Miguel Rodrigues
2021	—	`conf`	Quantum Most-Significant Digit-First Addition. IGSC (Workshops) He Li, Hongxiang Fan, Jiawei Liang
2020	—	`conf`	A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks. FPT Zhiqiang Que, Hiroki Nakahara, Hongxiang Fan, Jiuxi Meng, Kuen Hung Tsoi, Xinyu Niu, Eriko Nurvitadhi, Wayne Luk
2020	—	`conf`	Improving Performance Estimation for FPGA-Based Accelerators for Convolutional Neural Networks. ARC Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu, Jakub Stano, Wayne Luk
2020	J	`jnl`	Mapping Large LSTMs to FPGAs with Weight Reuse. J. Signal Process. Syst. Zhiqiang Que, Yongxin Zhu, Hongxiang Fan, Jiuxi Meng, Xinyu Niu, Wayne Luk
2020	C	`conf`	Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. ICCD Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
2020	Misc	`conf`	Optimizing Reconfigurable Recurrent Neural Networks. FCCM Zhiqiang Que, Hiroki Nakahara, Eriko Nurvitadhi, Hongxiang Fan, Chenglong Zeng, Jiuxi Meng, Xinyu Niu, Wayne Luk
2020	J	`jnl`	VINNAS: Variational Inference-based Neural Network Architecture Search. CoRR Martin Ferianc, Hongxiang Fan, Miguel Rodrigues
2019	—	`conf`	F-E3D: FPGA-based Acceleration of an Efficient 3D Convolutional Neural Network for Human Action Recognition. ASAP Hongxiang Fan, Cheng Luo, Chenglong Zeng, Martin Ferianc, Zhiqiang Que, Shuanglong Liu, Xinyu Niu, Wayne Luk
2019	—	`conf`	Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA. FPT Hongxiang Fan, Gang Wang, Martin Ferianc, Xinyu Niu, Wayne Luk
2019	Misc	`conf`	Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism. FCCM Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo
2018	—	`conf`	A Real-Time Object Detection Accelerator with Compressed SSDLite on FPGA. FPT Hongxiang Fan, Shuanglong Liu, Martin Ferianc, Ho-Cheung Ng, Zhiqiang Que, Shen Liu, Xinyu Niu, Wayne Luk
2018	—	`conf`	Memory-Efficient Architecture for Accelerating Generative Networks on FPGA. FPT Shuanglong Liu, Chenglong Zeng, Hongxiang Fan, Ho-Cheung Ng, Jiuxi Meng, Zhiqiang Que, Xinyu Niu, Wayne Luk
2018	J	`jnl`	Optimizing CNN-based Segmentation with Deeply Customized Convolutional and Deconvolutional Architectures on FPGA. ACM Trans. Reconfigurable Technol. Syst. Shuanglong Liu, Hongxiang Fan, Xinyu Niu, Ho-Cheung Ng, Yang Chu, Wayne Luk
2018	B	`conf`	Reconfigurable Acceleration of 3D-CNNs for Human Action Recognition with Block Floating-Point Representation. FPL Hongxiang Fan, Ho-Cheung Ng, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk
2017	B	`conf`	F-C3D: FPGA-based 3-dimensional convolutional neural network. FPL Hongxiang Fan, Xinyu Niu, Qiang Liu, Wayne Luk
2016	—	`conf`	IC security evaluation against fault injection attack based on FPGA emulation. FPT Song Xu, Qiang Liu, Tao Li, Hongxiang Fan