Ce Guo

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Venues

Imperial College London, UK (PHD)

Education History

Imperial College London, UK

PHD

Publications

Zhiqiang Que, Minghao Zhang, Hongxiang Fan, He Li, Ce Guo, Wayne Luk
Low Latency Variational Autoencoder on FPGAs. IEEE J. Emerg. Sel. Topics Circuits Syst. 14 (2) (2024)
Kang Gao, Perukrishnen Vytelingum, Stephen Weston, Wayne Luk, Ce Guo
High-Frequency Financial Market Simulation and Flash Crash Scenarios Analysis: An Agent-Based Modelling Approach. J. Artif. Soc. Soc. Simul. 27 (2) (2024)
Ce Guo, Haoran Wu, Wayne Luk
Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs. HEART (2024)
Ce Guo, Wayne Luk
FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms. IEEE Trans. Circuits Syst. II Express Briefs 71 (3) (2024)
Yu Du, Yu Song, Ce Guo, Xiaojing Tian, Dong Liu, Ming Cong
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings. CoRR (2024)
Daoxun Zhang, Ming Xu, Pengming Zhu, Ce Guo, Zhengyu Zhong, Huimin Lu, Zhiqiang Zheng
The development of a novel terrestrial/aerial robot: autonomous quadrotor tilting hybrid robot. Robotica 42 (1) (2024)
Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. FPL (2023)
Zhiqiang Que, Shuo Liu, Markus Rognlien, Ce Guo, José Gabriel F. Coutinho, Wayne Luk
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration. CoRR (2023)
Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes
Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. ASAP (2023)
Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid Stillman, Wayne Luk, Ce Guo
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging. ICAIF (2023)
Anna Gausen, Wayne Luk, Ce Guo
Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media. ACM J. Data Inf. Qual. 15 (1) (2023)
Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes
FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. FPL (2023)
José Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk
Exploring Machine Learning Adoption in Customisable Processor Design. ASICON (2023)
Bowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang
Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation. ARC (2022)
Ce Guo, Wayne Luk
Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. FPGA (2022)
Hongxiang Fan, Ce Guo, Wayne Luk
Optimizing quantum circuit placement via machine learning. DAC (2022)
Yueqing Gao, Huachun Zhou, Lulu Chen, Yuting Shen, Ce Guo, Xinyu Zhang
Cross-Modal Object Detection Based on a Knowledge Update. Sensors 22 (4) (2022)
Anna Gausen, Wayne Luk, Ce Guo
Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media. ICWSM Workshops (2021)
Yibo Xu, Jiongming Su, Fengtao Xiang, Ce Guo, Haoran Ren, Huimin Lu
Deep Convolutional Neural Network Transfer Learning Optimization Based on Visual Interpretation. RCAR (2021)
Lei Fu, Ce Guo, Wayne Luk
FPGA-accelerated Agent-Based Simulation for COVID-19. AICAS (2021)
Minglu Zhang, Yan Zhang, Zhihong Jiang, Xiaoling Lv, Ce Guo
Low-Illumination Image Enhancement in the Space Environment Based on the DC-WGAN Algorithm. Sensors 21 (1) (2021)
Ryota Yasudo, José Gabriel de Figueiredo Coutinho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, Ce Guo
Analytical Performance Estimation for Large-Scale Reconfigurable Dataflow Platforms. ACM Trans. Reconfigurable Technol. Syst. 14 (3) (2021)
Daoxun Zhang, Ce Guo, Haoran Ren, Pengming Zhu, Ming Xu, Huimin Lu
The Design of an Aerial/Ground Dual-modal Mobile Robot for Exploring Complex Environments. RCAR (2021)
Ce Guo, Wayne Luk
Quantisation-aware Dimensionality Reduction. FPT (2020)
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks. CoRR (2020)
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR. CoRR (2020)
Jiuxi Meng, Ce Guo, Nadeen Gebara, Wayne Luk
Fast and Accurate Training of Ensemble Models with FPGA-based Switch. ASAP (2020)
Ce Guo, Wayne Luk, Stephen Weston
Accelerating Simulation for Agent-based Epidemic Models using FPGAs. AICCSA (2020)
Lei Li, Kechao Lian, Jintao Fu, Pengfei Zhu, Zhiyong Hu, Ce Guo
Acoustic Enhanced Camera Tracking System Based on Small-Aperture MEMS Microphone Array. IEEE Access 8 (2020)
Cheng Luo, Man-Kit Sit, Hongxiang Fan, Shuanglong Liu, Wayne Luk, Ce Guo
Towards Efficient Deep Neural Network Training by FPGA-Based Batch-Level Parallelism. FCCM (2019)
Ce Guo, Wayne Luk, Stanley Qing Shui Loh, Alexander Warren, Joshua M. Levine
Customisable Control Policy Learning for Robotics. ASAP (2019)
Zhiqiang Que, Yanyang Liu, Ce Guo, Xinyu Niu, Yongxin Zhu, Wayne Luk
Real-Time Anomaly Detection for Flight Testing Using AutoEncoder and LSTM. FPT (2019)
Ce Guo, Wayne Luk, Wenguang Xu
Non-linear function evaluation reusing matrix-vector multipliers. ASICON (2019)
Conghui He, Haohuan Fu, Ce Guo, Wayne Luk, Guangwen Yang
A Fully-Pipelined Hardware Design for Gaussian Mixture Models. IEEE Trans. Computers 66 (11) (2017)
Liucheng Guo, Ce Guo, David B. Thomas, Wayne Luk
Pipelined Genetic Propagation. FCCM (2015)
Shengjia Shao, Liucheng Guo, Ce Guo, Thomas C. P. Chau, David B. Thomas, Wayne Luk, Stephen Weston
Recursive pipelined genetic propagation for bilevel optimisation. FPL (2015)
Ce Guo, Wayne Luk, Stephen Weston
Pipelined reconfigurable accelerator for ordinal pattern encoding. ASAP (2014)
Liucheng Guo, David B. Thomas, Ce Guo, Wayne Luk
Automated framework for FPGA-based parallel genetic algorithms. FPL (2014)
Jinzhe Yang, Ce Guo, Wayne Luk, Terence Nahar
Collaborative processing of Least-Square Monte Carlo for American options. FPT (2014)
Shengjia Shao, Ce Guo, Wayne Luk, Stephen Weston
Accelerating transfer entropy computation. FPT (2014)
Ce Guo, Wayne Luk
Pipelined HAC Estimation Engines for Multivariate Time Series. J. Signal Process. Syst. 77 (1-2) (2014)
Ce Guo, Wayne Luk
Accelerating parameter estimation for multivariate self-exciting point processes. FPGA (2014)
Ce Guo, Wayne Luk, Ekaterina Vinkovskaya, Rama Cont
Customisable pipelined engine for intensity evaluation in multivariate hawkes point processes. SIGARCH Comput. Archit. News 41 (5) (2013)
Ce Guo, Wayne Luk
Accelerating HAC estimation for multivariate time series. ASAP (2013)
Ce Guo, Wayne Luk
Accelerating maximum likelihood estimation for Hawkes point processes. FPL (2013)
Ce Guo, Haohuan Fu, Wayne Luk
A fully-pipelined expectation-maximization engine for Gaussian Mixture Models. FPT (2012)
Yong Hu, Ce Guo, E. W. T. Ngai, Mei Liu, Shifeng Chen
A scalable intelligent non-content-based spam-filtering framework. Expert Syst. Appl. 37 (12) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ce Guo