Fan, Hongxiang

1. Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design
   2022/09/20 by Hongxiang Fan, Thomas Chau, Fan, Hongxiang +13 · 7 citations
   Computer Science · Engineering · #Advanced Neural Network Applications #CCD and CMOS Imaging Sensors #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Image Enhancement Techniques #Machine Learning (cs.LG)
2. Progressive Mixed-Precision Decoding for Efficient LLM Inference
   2024/10/17 by Hao Chen, Fuwen Tan, Chen, Hao Mark +9 · 5 citations
   Computer Science · Engineering · #Advanced Wireless Communication Techniques #Algorithms and Data Compression #Coding theory and cryptography #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction
   2025/04/20 by Campbell, Charlie, Chen, Hao Mark, Luk, Wayne +1 · 5 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #Multiagent Systems (cs.MA) #Quantum Physics (quant-ph)
4. Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference
   2025/09/11 by Haoran Wu, Can Xiao, Wu, Haoran +31 · 1 voice · 1 citation
   Computer Science · #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #cs.AR
5. High-Performance FPGA-based Accelerator for Bayesian Neural Networks
   2021/05/12 by Fan, Hongxiang, Ferianc, Martin, Rodrigues, Miguel +3 · 1 citation
   #FOS: Computer and information sciences #FOS: Electrical engineering #Hardware Architecture (cs.AR) #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
6. Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
   2024/05/28 by Chen, Hao Mark, Luk, Wayne, Yiu, Ka Fai Cedric +4 · 2 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration
   2025/02/09 by Que, Zhiqiang, Coutinho, Jose G. F., Guo, Ce +2 · 2 citations
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
8. FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
   2025/03/16 by Chen, Hao Mark, Hu, Shell Xu, Luk, Wayne +2 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
   2023/08/13 by Fan, Hongxiang, Chen, Hao, Castelli, Liam +4 · 1 citation
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)