| 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 | FCCM | EDSSC: An Efficient FPGA-based Accelerator for Dynamic Sparse Spectral Clustering. | Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk |
| 2026 | FPGA | CODESCA: Co-Design for Spectral Clustering Acceleration. | Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk |
| 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 | PAKDD | VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery. | Gene Yu, Ce Guo, Wayne Luk |
| 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 | FPL | Aspo: Constraint-Aware Bayesian Optimization for Fpga-Based Soft Processors. | Haoran Wu, Ce Guo, Wayne Luk, Robert Mullins |
| 2025 | IROS | NuExo: A Wearable Exoskeleton Covering all Upper Limb ROM for Outdoor Data Collection and Teleoperation of Humanoid Robots. | Rui Zhong, Chuang Cheng, Junpeng Xu, Yantong Wei, Ce Guo, Daoxun Zhang, Wei Dai, Huimin Lu |
| 2024 | FCCM | PCQ: Parallel Compact Quantum Circuit Simulation. | Shuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly |
| 2023 | FPL | FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. | Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes |
| 2023 | FPL | MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. | Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, Jos Gabriel F. Coutinho, Wayne Luk |
| 2022 | DAC | Optimizing quantum circuit placement via machine learning. | Hongxiang Fan, Ce Guo, Wayne Luk |
| 2022 | FPGA | Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. | Ce Guo, Wayne Luk |
| 2021 | ICWSM | Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media. | Anna Gausen, Wayne Luk, Ce Guo |
| 2020 | AICCSA | Accelerating Simulation for Agent-based Epidemic Models using FPGAs. | Ce Guo, Wayne Luk, Stephen Weston |
| 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 |
| 2015 | FCCM | Pipelined Genetic Propagation. | Liucheng Guo, Ce Guo, David B. Thomas, Wayne Luk |
| 2015 | FPL | Recursive pipelined genetic propagation for bilevel optimisation. | Shengjia Shao, Liucheng Guo, Ce Guo, Thomas C. P. Chau, David B. Thomas, Wayne Luk, Stephen Weston |
| 2014 | FPGA | Accelerating parameter estimation for multivariate self-exciting point processes. | Ce Guo, Wayne Luk |
| 2014 | FPL | Automated framework for FPGA-based parallel genetic algorithms. | Liucheng Guo, David B. Thomas, Ce Guo, Wayne Luk |
| 2013 | FPL | Accelerating maximum likelihood estimation for Hawkes point processes. | Ce Guo, Wayne Luk |