| What are textons? SC Zhu, CE Guo, Y Wang, Z Xu International Journal of Computer Vision 62 (1), 121-143, 2005 | 313 | 2005 |
| Towards efficient deep neural network training by FPGA-based batch-level parallelism C Luo, MK Sit, H Fan, S Liu, W Luk, C Guo Journal of Semiconductors 41 (2), 022403, 2020 | 75 | 2020 |
| Real-time anomaly detection for flight testing using AutoEncoder and LSTM Z Que, Y Liu, C Guo, X Niu, Y Zhu, W Luk 2019 international conference on field-programmable technology (ICFPT), 379-382, 2019 | 57 | 2019 |
| A scalable intelligent non-content-based spam-filtering framework Y Hu, C Guo, EWT Ngai, M Liu, S Chen Expert systems with applications 37 (12), 8557-8565, 2010 | 56 | 2010 |
| Optimizing quantum circuit placement via machine learning H Fan, C Guo, W Luk Proceedings of the 59th ACM/IEEE Design Automation Conference, 19-24, 2022 | 49 | 2022 |
| A fully-pipelined expectation-maximization engine for Gaussian mixture models C Guo, H Fu, W Luk 2012 international conference on field-programmable technology, 182-189, 2012 | 40 | 2012 |
| Using agent-based modelling to evaluate the impact of algorithmic curation on social media A Gausen, W Luk, C Guo ACM Journal of Data and Information Quality 15 (1), 1-24, 2022 | 32 | 2022 |
| Can We Stop Fake News? Using Agent-Based Modelling to Evaluate Countermeasures for Misinformation on Social Media. A Gausen, W Luk, C Guo ICWSM Workshops, 1-5, 2021 | 25 | 2021 |
| Accelerating transfer entropy computation S Shao, C Guo, W Luk, S Weston 2014 International Conference on Field-Programmable Technology (FPT), 60-67, 2014 | 25 | 2014 |
| A fully-pipelined hardware design for gaussian mixture models C He, H Fu, C Guo, W Luk, G Yang IEEE Transactions on Computers 66 (11), 1837-1850, 2017 | 24 | 2017 |
| Accelerating maximum likelihood estimation for Hawkes point processes C Guo, W Luk International Conference on Field Programmable Logic and Applications, 1-6, 2013 | 22 | 2013 |
| Deeper hedging: A new agent-based model for effective deep hedging K Gao, S Weston, P Vytelingum, N Stillman, W Luk, C Guo Proceedings of the Fourth ACM International Conference on AI in Finance, 270-278, 2023 | 16 | 2023 |
| Customisable control policy learning for robotics C Guo, W Luk, SQS Loh, A Warren, J Levine 2019 IEEE 30th International Conference on Application-specific Systems …, 2019 | 16 | 2019 |
| Automated framework for FPGA-based parallel genetic algorithms L Guo, DB Thomas, C Guo, W Luk 2014 24th International Conference on Field Programmable Logic and …, 2014 | 16 | 2014 |
| Pipelined genetic propagation L Guo, C Guo, DB Thomas, W Luk 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom …, 2015 | 15 | 2015 |
| Metaml: Automating customizable cross-stage design-flow for deep learning acceleration Z Que, S Liu, M Rognlien, C Guo, JGF Coutinho, W Luk 2023 33rd International Conference on Field-Programmable Logic and …, 2023 | 14 | 2023 |
| Accelerating parameter estimation for multivariate self-exciting point processes C Guo, W Luk International Symposium on Field-programmable Gate Arrays, 181-184, 2014 | 13 | 2014 |
| High-frequency financial market simulation and flash crash scenarios analysis: an agent-based modelling approach K Gao, P Vytelingum, S Weston, W Luk, C Guo arXiv preprint arXiv:2208.13654, 2022 | 12 | 2022 |
| Accelerating constraint-based causal discovery by shifting speed bottleneck C Guo, W Luk Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022 | 11 | 2022 |
| Fpga-accelerated sim-to-real control policy learning for robotic arms C Guo, W Luk IEEE Transactions on Circuits and Systems II: Express Briefs 71 (3), 1690-1694, 2024 | 9 | 2024 |