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2020 – today
- 2024
[j13]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): 323-333 (2024)- [j12]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) - [j11]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): 118-138 (2024) - [j10]Ce Guo, Wayne Luk:
FPGA-Accelerated Sim-to-Real Control Policy Learning for Robotic Arms. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1690-1694 (2024) - [c31]Shuang Liang, Yuncheng Lu, Ce Guo, Wayne Luk, Paul H. J. Kelly:
PCQ: Parallel Compact Quantum Circuit Simulation. FCCM 2024: 24-31 - [c30]Ce Guo, Haoran Wu, Wayne Luk:
Resource-Constraint Bayesian Optimization for Soft Processors on FPGAs. HEART 2024: 27-36 - [i5]Yu Du, Yu Song, Ce Guo, Xiaojing Tian, Dong Liu, Ming Cong:
MEDPNet: Achieving High-Precision Adaptive Registration for Complex Die Castings. CoRR abs/2403.09996 (2024) - [i4]Ziyang Jiao, Ce Guo, Wayne Luk:
Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery. CoRR abs/2409.05500 (2024) - 2023
- [j9]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): 2:1-2:24 (2023) - [c29]Ce Guo, Wayne Luk, Alexander Warren, Joshua M. Levine, Peter Brookes:
Co-Design of Algorithm and FPGA Accelerator for Conditional Independence Test. ASAP 2023: 102-109 - [c28]José Gabriel F. Coutinho, Ce Guo, Tim Todman, Wayne Luk:
Exploring Machine Learning Adoption in Customisable Processor Design. ASICON 2023: 1-4 - [c27]Ce Guo, Diego Cupello, Wayne Luk, Joshua M. Levine, Alexander Warren, Peter Brookes:
FPGA-Accelerated Causal Discovery with Conditional Independence Test Prioritization. FPL 2023: 182-188 - [c26]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: 248-252 - [c25]Kang Gao, Stephen Weston, Perukrishnen Vytelingum, Namid R. Stillman, Wayne Luk, Ce Guo:
Deeper Hedging: A New Agent-based Model for Effective Deep Hedging. ICAIF 2023: 270-278 - [i3]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 abs/2306.08746 (2023) - 2022
- [j8]Yueqing Gao, Huachun Zhou, Lulu Chen, Yuting Shen, Ce Guo, Xinyu Zhang:
Cross-Modal Object Detection Based on a Knowledge Update. Sensors 22(4): 1338 (2022) - [c24]Bowen P. Y. Kwan, Ce Guo, Wayne Luk, Peiyong Jiang:
Light-Weight Permutation Generator for Efficient Convolutional Neural Network Data Augmentation. ARC 2022: 150-165 - [c23]Hongxiang Fan, Ce Guo, Wayne Luk:
Optimizing quantum circuit placement via machine learning. DAC 2022: 19-24 - [c22]Ce Guo, Wayne Luk:
Accelerating Constraint-Based Causal Discovery by Shifting Speed Bottleneck. FPGA 2022: 169-179 - [p3]Wayne Luk, Ce Guo:
FPGA-Based Backpropagation Engine for Feed-Forward Neural Networks. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 250-263 - 2021
- [j7]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): 286 (2021) - [j6]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): 12:1-12:21 (2021) - [c21]Lei Fu, Ce Guo, Wayne Luk:
FPGA-accelerated Agent-Based Simulation for COVID-19. AICAS 2021: 1-4 - [c20]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 - [c19]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: 393-398 - [c18]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: 527-532 - 2020
- [j5]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: 215827-215839 (2020) - [c17]Ce Guo, Wayne Luk, Stephen Weston:
Accelerating Simulation for Agent-based Epidemic Models using FPGAs. AICCSA 2020: 1-8 - [c16]Jiuxi Meng, Ce Guo, Nadeen Gebara, Wayne Luk:
Fast and Accurate Training of Ensemble Models with FPGA-based Switch. ASAP 2020: 81-84 - [c15]Ce Guo, Wayne Luk:
Quantisation-aware Dimensionality Reduction. FPT 2020: 237-240 - [i2]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 abs/2009.02784 (2020) - [i1]Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk:
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks. CoRR abs/2009.02825 (2020)
2010 – 2019
- 2019
- [c14]Ce Guo, Wayne Luk, Stanley Qing Shui Loh, Alexander Warren, Joshua M. Levine:
Customisable Control Policy Learning for Robotics. ASAP 2019: 91-98 - [c13]Ce Guo, Wayne Luk, Wenguang Xu:
Non-linear function evaluation reusing matrix-vector multipliers. ASICON 2019: 1-4 - [c12]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: 45-52 - [c11]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: 379-382 - 2017
- [j4]Conghui He, Haohuan Fu, Ce Guo, Wayne Luk, Guangwen Yang:
A Fully-Pipelined Hardware Design for Gaussian Mixture Models. IEEE Trans. Computers 66(11): 1837-1850 (2017) - 2016
- [b1]Ce Guo:
Reconfigurable predictive systems for event streams. Imperial College London, UK, 2016 - [p2]Maciej Kurek, Tobias Becker, Ce Guo, Stewart Denholm, Andreea-Ingrid Funie, Mark Salmon, Tim Todman, Wayne Luk:
Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster. Self-aware Computing Systems 2016: 241-260 - 2015
- [c10]Liucheng Guo, Ce Guo, David B. Thomas, Wayne Luk:
Pipelined Genetic Propagation. FCCM 2015: 103-110 - [c9]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: 1-6 - 2014
- [j3]Ce Guo, Wayne Luk:
Pipelined HAC Estimation Engines for Multivariate Time Series. J. Signal Process. Syst. 77(1-2): 117-129 (2014) - [c8]Ce Guo, Wayne Luk, Stephen Weston:
Pipelined reconfigurable accelerator for ordinal pattern encoding. ASAP 2014: 194-201 - [c7]Ce Guo, Wayne Luk:
Accelerating parameter estimation for multivariate self-exciting point processes. FPGA 2014: 181-184 - [c6]Liucheng Guo, David B. Thomas, Ce Guo, Wayne Luk:
Automated framework for FPGA-based parallel genetic algorithms. FPL 2014: 1-7 - [c5]Jinzhe Yang, Ce Guo, Wayne Luk, Terence Nahar:
Collaborative processing of Least-Square Monte Carlo for American options. FPT 2014: 52-59 - [c4]Shengjia Shao, Ce Guo, Wayne Luk, Stephen Weston:
Accelerating transfer entropy computation. FPT 2014: 60-67 - 2013
- [j2]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): 59-64 (2013) - [c3]Ce Guo, Wayne Luk:
Accelerating HAC estimation for multivariate time series. ASAP 2013: 42-49 - [c2]Ce Guo, Wayne Luk:
Accelerating maximum likelihood estimation for Hawkes point processes. FPL 2013: 1-6 - 2012
- [c1]Ce Guo, Haohuan Fu, Wayne Luk:
A fully-pipelined expectation-maximization engine for Gaussian Mixture Models. FPT 2012: 182-189 - 2010
- [j1]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): 8557-8565 (2010)
2000 – 2009
- 2009
- [p1]Wenbo Wang, Ce Guo, Jiurong Sun, Zhendong Dai:
Locomotion Elicited by Electrical Stimulation in the Midbrain of the Lizard Gekko gecko. Intelligent Unmanned Systems 2009: 145-153
Coauthor Index
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last updated on 2024-10-10 22:19 CEST by the dblp team
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