Ce Guo

According to our database, Ce Guo authored at least 62 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration.

Zhiqiang Que, Jose G. F. Coutinho, Ce Guo, Hongxiang Fan, Wayne Luk

ACM Trans. Reconfigurable Technol. Syst., June, 2026

Memory-Efficient and Trustworthy Neural Networks via Random Seed-Based Design.

Hiroaki Ito, Hikari Otsuka, Ryota Yasudo, Zhiqiang Que, José Gabriel F. Coutinho, Daichi Fujiki, Masato Motomura, Ce Guo, Wayne Luk

IEEE Access, 2026

VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery.

Gene Yu, Ce Guo, Wayne Luk

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

Advancing Full-Stack Acceleration for SchröDinger-Style Quantum Simulation.

Shuang Liang, Yuncheng Lu, Ce Guo, Paul H. J. Kelly, Wayne Luk, Hongxiang Fan

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

CODESCA: Co-Design for Spectral Clustering Acceleration.

Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk

Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2026

EDSSC: An Efficient FPGA-based Accelerator for Dynamic Sparse Spectral Clustering.

Zhengyan Liu, Ce Guo, Zehuan Zhang, Qiang Liu, Wayne Luk

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

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

Proceedings of the 34th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2026

2025

An approach to sociotechnical transparency of social media algorithms using agent-based modelling.

Anna Gausen, Ce Guo, Wayne Luk

AI Ethics, April, 2025

ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness.

Ce Guo, Tong Zhao

CoRR, March, 2025

MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration.

Zhiqiang Que, José Gabriel F. Coutinho, Ce Guo, Hongxiang Fan, Wayne Luk

CoRR, February, 2025

ProtoPGTN: A Scalable Prototype-Based Gated Transformer Network for Interpretable Time Series Classification.

Jinjin Huang, Ce Guo, Wayne Luk

Inf., 2025

Repurposing Language Models for FX Volatility Forecasting: A Data-Efficient and Context-Aware Approach.

Quoc Anh Nguyen, Ce Guo, Wayne Luk

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

FABS: An Extensible and High-Performance Digital Twin Framework of AI-Driven Financial Systems.

Angus T. L. Leung, Ce Guo, Wayne Luk

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

ProtoHedge: Interpretable Hedging with Market Prototypes.

Lisa Faloughi, Ce Guo, Wayne Luk

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Trustworthy Deep Learning Acceleration with Customizable Design Flow Automation.

Zhiqiang Que, Hongxiang Fan, Gabriel F. Figueiredo, Ce Guo, Wayne Luk, Ryota Yasudo, Masato Motomura

Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2025

ResBench: A Resource-Aware Benchmark for LLM-Generated FPGA Designs.

Ce Guo, Tong Zhao

Proceedings of the 15th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2025

Aspo: Constraint-Aware Bayesian Optimization for Fpga-Based Soft Processors.

Haoran Wu, Ce Guo, Wayne Luk, Robert Mullins

Proceedings of the 35th International Conference on Field-Programmable Logic and Applications, 2025

Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation.

Yuncheng Lu, Shuang Liang, Hongxiang Fan, Ce Guo, Wayne Luk, Paul H. J. Kelly

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Low Latency Variational Autoencoder on FPGAs.

Zhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li, Ce Guo, Wayne Luk

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2024

FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms.

Ce Guo, Wayne Luk

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

High-Frequency Financial Market Simulation and Flash Crash Scenarios Analysis: An Agent-Based Modelling Approach.

Kang Gao, Perukrishnen Vytelingum, Stephen Weston, Wayne Luk, Ce Guo

J. Artif. Soc. Soc. Simul., 2024

Robust Time Series Causal Discovery for Agent-Based Model Validation.

Gene Yu, Ce Guo, Wayne Luk

CoRR, 2024

Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery.

Ziyang Jiao, Ce Guo, Wayne Luk

CoRR, 2024

Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs.

Ce Guo, Haoran Wu, Wayne Luk

Proceedings of the 14th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2024

Optimizing DNN Accelerator Compression Using Tolerable Accuracy Loss.

Zhiqiang Que, Anyan Zhao, José Gabriel F. Coutinho, Ce Guo, Wayne Luk

Proceedings of the International Conference on Field Programmable Technology, 2024

PCQ: Parallel Compact Quantum Circuit Simulation.

Shuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly

Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

2023

Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media.

Anna Gausen, Wayne Luk, Ce Guo

ACM J. Data Inf. Qual., March, 2023

Deeper Hedging: A New Agent-based Model for Effective Deep Hedging.

Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid R. Stillman, Wayne Luk, Ce Guo

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration.

Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization.

Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Exploring Machine Learning Adoption in Customisable Processor Design.

José Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk

Proceedings of the 15th IEEE International Conference on ASIC, 2023

Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test.

Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes

Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022

Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck.

Ce Guo, Wayne Luk

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

Optimizing quantum circuit placement via machine learning.

Hongxiang Fan, Ce Guo, Wayne Luk

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation.

Bowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2022

FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks.

Wayne Luk, Ce Guo

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow Platforms.

Ryota Yasudo, José Gabriel de Figueiredo Coutinho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, Ce Guo

ACM Trans. Reconfigurable Technol. Syst., 2021

Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media.

Anna Gausen, Wayne Luk, Ce Guo

Proceedings of the Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, 2021

FPGA-accelerated Agent-Based Simulation for COVID-19.

Lei Fu, Ce Guo, Wayne Luk

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks.

Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk

CoRR, 2020

An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR.

Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk

CoRR, 2020

Quantisation-aware Dimensionality Reduction.

Ce Guo, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2020

Fast and Accurate Training of Ensemble Models with FPGA-based Switch.

Jiuxi Meng, Ce Guo, Nadeen Gebara, Wayne Luk

Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

Accelerating Simulation for Agent-based Epidemic Models using FPGAs.

Ce Guo, Wayne Luk, Stephen Weston

Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019

Real-Time Anomaly Detection for Flight Testing Using AutoEncoder and LSTM.

Zhiqiang Que, Yanyang Liu, Ce Guo, Xinyu Niu, Yongxin Zhu, Wayne Luk

Proceedings of the International Conference on Field-Programmable Technology, 2019

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

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Non-linear function evaluation reusing matrix-vector multipliers.

Ce Guo, Wayne Luk, Wenguang Xu

Proceedings of the 13th IEEE International Conference on ASIC, 2019

Customisable Control Policy Learning for Robotics.

Ce Guo, Wayne Luk, Stanley Qing Shui Loh, Alexander Warren, Joshua M. Levine

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2017

A Fully-Pipelined Hardware Design for Gaussian Mixture Models.

Conghui He, Haohuan Fu, Ce Guo, Wayne Luk, Guangwen Yang

IEEE Trans. Computers, 2017

2016

Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster.

Maciej Kurek, Tobias Becker, Ce Guo, Stewart Denholm, Andreea-Ingrid Funie, Mark Salmon, Tim Todman, Wayne Luk

Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

2015

Recursive pipelined genetic propagation for bilevel optimisation.

Shengjia Shao, Liucheng Guo, Ce Guo, Thomas C. P. Chau, David B. Thomas, Wayne Luk, Stephen Weston

Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

Pipelined Genetic Propagation.

Liucheng Guo, Ce Guo, David B. Thomas, Wayne Luk

Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015

2014

Pipelined HAC Estimation Engines for Multivariate Time Series.

Ce Guo, Wayne Luk

J. Signal Process. Syst., 2014

Collaborative processing of Least-Square Monte Carlo for American options.

Jinzhe Yang, Ce Guo, Wayne Luk, Terence Nahar

Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

Accelerating transfer entropy computation.

Shengjia Shao, Ce Guo, Wayne Luk, Stephen Weston

Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

Automated framework for FPGA-based parallel genetic algorithms.

Liucheng Guo, David B. Thomas, Ce Guo, Wayne Luk

Proceedings of the 24th International Conference on Field Programmable Logic and Applications, 2014

Accelerating parameter estimation for multivariate self-exciting point processes.

Ce Guo, Wayne Luk

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Pipelined reconfigurable accelerator for ordinal pattern encoding.

Ce Guo, Wayne Luk, Stephen Weston

Proceedings of the IEEE 25th International Conference on Application-Specific Systems, 2014

2013

Customisable pipelined engine for intensity evaluation in multivariate hawkes point processes.

Ce Guo, Wayne Luk, Ekaterina Vinkovskaya, Rama Cont

SIGARCH Comput. Archit. News, 2013

Accelerating maximum likelihood estimation for Hawkes point processes.

Ce Guo, Wayne Luk

Proceedings of the 23rd International Conference on Field programmable Logic and Applications, 2013

Accelerating HAC estimation for multivariate time series.

Ce Guo, Wayne Luk

Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012

A fully-pipelined expectation-maximization engine for Gaussian Mixture Models.

Ce Guo, Haohuan Fu, Wayne Luk

Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012