Locomotion Elicited by Electrical Stimulation in the Midbrain of the Lizard Gekko gecko. - Wenbo Wang 006; Ce Guo; Jiurong Sun; Zhendong Dai (Intelligent Unmanned Systems, 2009)

A scalable intelligent non-content-based spam-filtering framework. - Yong Hu 002; Ce Guo; E. W. T. Ngai; Mei Liu; Shifeng Chen (Expert Syst. Appl., 2010)

A fully-pipelined expectation-maximization engine for Gaussian Mixture Models. - Ce Guo; Haohuan Fu; Wayne Luk (FPT, 2012)

Accelerating HAC estimation for multivariate time series. - Ce Guo; Wayne Luk (ASAP, 2013)

Accelerating maximum likelihood estimation for Hawkes point processes. - Ce Guo; Wayne Luk (FPL, 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)

Pipelined reconfigurable accelerator for ordinal pattern encoding. - Ce Guo; Wayne Luk; Stephen Weston (ASAP, 2014)

Accelerating parameter estimation for multivariate self-exciting point processes. - Ce Guo; Wayne Luk (FPGA, 2014)

Automated framework for FPGA-based parallel genetic algorithms. - Liucheng Guo; David B. Thomas; Ce Guo; Wayne Luk (FPL, 2014)

Accelerating transfer entropy computation. - Shengjia Shao; Ce Guo; Wayne Luk; Stephen Weston (FPT, 2014)

Collaborative processing of Least-Square Monte Carlo for American options. - Jinzhe Yang; Ce Guo; Wayne Luk; Terence Nahar (FPT, 2014)

Pipelined HAC Estimation Engines for Multivariate Time Series. - Ce Guo; Wayne Luk (J. Signal Process. Syst., 2014)

Pipelined Genetic Propagation. - Liucheng Guo; Ce Guo; David B. Thomas; Wayne Luk (FCCM, 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 (FPL, 2015)

Reconfigurable predictive systems for event streams. - Ce Guo (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 (Self-aware Computing Systems, 2016)

A Fully-Pipelined Hardware Design for Gaussian Mixture Models. - Conghui He; Haohuan Fu; Ce Guo; Wayne Luk; Guangwen Yang (IEEE Trans. Computers, 2017)

Customisable Control Policy Learning for Robotics. - Ce Guo; Wayne Luk; Stanley Qing Shui Loh; Alexander Warren; Joshua M. Levine (ASAP, 2019)

Non-linear function evaluation reusing matrix-vector multipliers. - Ce Guo; Wayne Luk; Wenguang Xu (ASICON, 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 (FCCM, 2019)

Real-Time Anomaly Detection for Flight Testing Using AutoEncoder and LSTM. - Zhiqiang Que; Yanyang Liu; Ce Guo; Xinyu Niu; Yongxin Zhu 001; Wayne Luk (FPT, 2019)

Accelerating Simulation for Agent-based Epidemic Models using FPGAs. - Ce Guo; Wayne Luk; Stephen Weston (AICCSA, 2020)

Fast and Accurate Training of Ensemble Models with FPGA-based Switch. - Jiuxi Meng; Ce Guo; Nadeen Gebara; Wayne Luk (ASAP, 2020)

Quantisation-aware Dimensionality Reduction. - Ce Guo; Wayne Luk (FPT, 2020)

Acoustic Enhanced Camera Tracking System Based on Small-Aperture MEMS Microphone Array. - Lei Li 029; Kechao Lian; Jintao Fu; Pengfei Zhu; Zhiyong Hu; Ce Guo (IEEE Access, 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)

An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks. - Seyedeh Niusha Alavi Foumani; Ce Guo; Wayne Luk (CoRR, 2020)

FPGA-accelerated Agent-Based Simulation for COVID-19. - Lei Fu; Ce Guo; Wayne Luk (AICAS, 2021)

Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media. - Anna Gausen; Wayne Luk; Ce Guo (ICWSM Workshops, 2021)

Deep Convolutional Neural Network Transfer Learning Optimization Based on Visual Interpretation. - Yibo Xu; Jiongming Su; Fengtao Xiang; Ce Guo; Haoran Ren; Huimin Lu (RCAR, 2021)

The Design of an Aerial/Ground Dual-modal Mobile Robot for Exploring Complex Environments. - Daoxun Zhang; Ce Guo; Haoran Ren; Pengming Zhu; Ming Xu 022; Huimin Lu 002 (RCAR, 2021)

Low-Illumination Image Enhancement in the Space Environment Based on the DC-WGAN Algorithm. - Minglu Zhang; Yan Zhang; Zhihong Jiang; Xiaoling Lv; Ce Guo (Sensors, 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)

FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks. - Wayne Luk; Ce Guo (Mach. Learn. under Resour. Constraints Vol. 1 (1), 2022)

Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation. - Bowen P. Y. Kwan; Ce Guo; Wayne Luk; Peiyong Jiang (ARC, 2022)

Optimizing quantum circuit placement via machine learning. - Hongxiang Fan; Ce Guo; Wayne Luk (DAC, 2022)

Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. - Ce Guo; Wayne Luk (FPGA, 2022)

Cross-Modal Object Detection Based on a Knowledge Update. - Yueqing Gao; Huachun Zhou; Lulu Chen; Yuting Shen; Ce Guo; Xinyu Zhang (Sensors, 2022)

Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. - Ce Guo; Wayne Luk; Alexander Warren; Joshua M. Levine; Peter Brookes (ASAP, 2023)

Exploring Machine Learning Adoption in Customisable Processor Design. - José Gabriel F. Coutinho; Ce Guo; Tim Todman; Wayne Luk (ASICON, 2023)

FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. - Ce Guo; Diego Cupello; Wayne Luk; Joshua M. Levine; Alexander Warren; Peter Brookes (FPL, 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 (FPL, 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 (ICAIF, 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., 2023)

PCQ: Parallel Compact Quantum Circuit Simulation. - Shuang Liang 012; Yuncheng Lu; Ce Guo; Wayne Luk; Paul H. J. Kelly (FCCM, 2024)

Optimizing DNN Accelerator Compression Using Tolerable Accuracy Loss. - Zhiqiang Que; Anyan Zhao; José Gabriel F. Coutinho; Ce Guo; Wayne Luk (ICFPT, 2024)

Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs. - Ce Guo; Haoran Wu; Wayne Luk (HEART, 2024)

Routing Strategy in LEO Satellite Networks: A Multi-Agent Reinforcement Learning Approach. - Xinru Lian; Qiuyang Zhang 001; Ying Wang 002; Ce Guo; Xi Chen (WCSP, 2024)

MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings. - Yu Du 001; Yu Song; Ce Guo; Xiaojing Tian; Dong Liu 011; Ming Cong 001 (CoRR, 2024)

Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery. - Ziyang Jiao; Ce Guo; Wayne Luk (CoRR, 2024)

Robust Time Series Causal Discovery for Agent-Based Model Validation. - Gene Yu; Ce Guo; Wayne Luk (CoRR, 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)

Financial efficiency and financial resource allocation of Beijing-Tianjin-Hebei urban agglomeration. - Ce Guo; Jianwen Fu; Fangning Ma; Jingjing Zhan; Yi Sun; Qiwei Xie (RAIRO Oper. Res., 2024)

The development of a novel terrestrial/aerial robot: autonomous quadrotor tilting hybrid robot. - Daoxun Zhang; Ming Xu 022; Pengming Zhu; Ce Guo; Zhengyu Zhong; Huimin Lu 002; Zhiqiang Zheng 002 (Robotica, 2024)

FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms. - Ce Guo; Wayne Luk (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Low Latency Variational Autoencoder on FPGAs. - Zhiqiang Que; Minghao Zhang; Hongxiang Fan; He Li 008; Ce Guo; Wayne Luk (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

ResBench: A Resource-Aware Benchmark for LLM-Generated FPGA Designs. - Ce Guo; Tong Zhao (HEART, 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 (HEART, 2025)

MCTNet: Defect Detection in Aluminum Alloy Die-Casting Using a Multilevel CNN-Transformer Interaction Network. - Ce Guo; Yu Du 001; Yifan Yang; Shihao Wang; Dong Liu 011; Ming Cong 001 (IEEE Trans. Instrum. Meas., 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, 2025)

ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness. - Ce Guo; Tong Zhao (CoRR, 2025)

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 002 (CoRR, 2025)

Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation. - Yuncheng Lu; Shuang Liang 012; Hongxiang Fan; Ce Guo; Wayne Luk; Paul H. J. Kelly (CoRR, 2025)

An approach to sociotechnical transparency of social media algorithms using agent-based modelling. - Anna Gausen; Ce Guo; Wayne Luk (AI Ethics, 2025)

ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors. - Haoran Wu; Ce Guo; Wayne Luk; Robert Mullins (CoRR, 2025)