Ce Guo

Orcid: 0000-0002-0272-9175

According to our database1, Ce Guo authored at least 47 papers between 2009 and 2024.

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Bibliography

2024
FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms.
IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

The development of a novel terrestrial/aerial robot: autonomous quadrotor tilting hybrid robot.
Robotica, January, 2024

MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings.
CoRR, 2024

2023
Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media.
ACM J. Data Inf. Qual., March, 2023

Deeper Hedging: A New Agent-based Model for Effective Deep Hedging.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Exploring Machine Learning Adoption in Customisable Processor Design.
Proceedings of the 15th IEEE International Conference on ASIC, 2023

Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test.
Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022
Cross-Modal Object Detection Based on a Knowledge Update.
Sensors, 2022

Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck.
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.
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.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2022

FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks.
Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021
Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow Platforms.
ACM Trans. Reconfigurable Technol. Syst., 2021

Low-Illumination Image Enhancement in the Space Environment Based on the DC-WGAN Algorithm.
Sensors, 2021

The Design of an Aerial/Ground Dual-modal Mobile Robot for Exploring Complex Environments.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Deep Convolutional Neural Network Transfer Learning Optimization Based on Visual Interpretation.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media.
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.
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.
CoRR, 2020

An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR.
CoRR, 2020

Acoustic Enhanced Camera Tracking System Based on Small-Aperture MEMS Microphone Array.
IEEE Access, 2020

Quantisation-aware Dimensionality Reduction.
Proceedings of the International Conference on Field-Programmable Technology, 2020

Fast and Accurate Training of Ensemble Models with FPGA-based Switch.
Proceedings of the 31st IEEE International Conference on Application-specific Systems, 2020

Accelerating Simulation for Agent-based Epidemic Models using FPGAs.
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.
Proceedings of the International Conference on Field-Programmable Technology, 2019

Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Non-linear function evaluation reusing matrix-vector multipliers.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

Customisable Control Policy Learning for Robotics.
Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2017
A Fully-Pipelined Hardware Design for Gaussian Mixture Models.
IEEE Trans. Computers, 2017

2016
Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster.
Proceedings of the Self-aware Computing Systems - An Engineering Approach, 2016

Reconfigurable predictive systems for event streams.
PhD thesis, 2016

2015
Recursive pipelined genetic propagation for bilevel optimisation.
Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

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

2014
Pipelined HAC Estimation Engines for Multivariate Time Series.
J. Signal Process. Syst., 2014

Collaborative processing of Least-Square Monte Carlo for American options.
Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

Accelerating transfer entropy computation.
Proceedings of the 2014 International Conference on Field-Programmable Technology, 2014

Automated framework for FPGA-based parallel genetic algorithms.
Proceedings of the 24th International Conference on Field Programmable Logic and Applications, 2014

Accelerating parameter estimation for multivariate self-exciting point processes.
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

Pipelined reconfigurable accelerator for ordinal pattern encoding.
Proceedings of the IEEE 25th International Conference on Application-Specific Systems, 2014

2013
Customisable pipelined engine for intensity evaluation in multivariate hawkes point processes.
SIGARCH Comput. Archit. News, 2013

Accelerating maximum likelihood estimation for Hawkes point processes.
Proceedings of the 23rd International Conference on Field programmable Logic and Applications, 2013

Accelerating HAC estimation for multivariate time series.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
A fully-pipelined expectation-maximization engine for Gaussian Mixture Models.
Proceedings of the 2012 International Conference on Field-Programmable Technology, 2012

2010
A scalable intelligent non-content-based spam-filtering framework.
Expert Syst. Appl., 2010

2009
Locomotion Elicited by Electrical Stimulation in the Midbrain of the Lizard Gekko gecko.
Proceedings of the Intelligent Unmanned Systems: Theory and Applications, 2009


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