Yi Cao

According to our database, Yi Cao authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The open banking era: An optimal model for the emergency fund.

Junxiu Liu, Shaodong Huang, Qiang Fu, Yuling Luo, Sheng Qin, Yi Cao, Jia Zhai, Su Yang

Expert Syst. Appl., 2024

2023

A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease.

Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding, Damien Coyle

Int. J. Mach. Learn. Cybern., January, 2023

2022

A travel customer segmentation method based on improved RFM and k-means++.

Shaodong Huang, Sheng Qin, Xiaoxiao Jiang, Yi Cao

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

Predicting Financial Volatility from Personal Transactional Data.

Rui Ying Goh, Galina Andreeva, Yi Cao

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

2021

Counteracting dynamical degradation of a class of digital chaotic systems via Unscented Kalman Filter and perturbation.

Yuling Luo, Yunqi Liu, Junxiu Liu, Shunbin Tang, Jim Harkin, Yi Cao

Inf. Sci., 2021

A multi-scale image watermarking based on integer wavelet transform and singular value decomposition.

Yuling Luo, Liangjia Li, Junxiu Liu, Shunbin Tang, Lvchen Cao, Shunsheng Zhang, Senhui Qiu, Yi Cao

Expert Syst. Appl., 2021

Option valuation under no-arbitrage constraints with neural networks.

Yi Cao, Xiaoquan Liu, Jia Zhai

Eur. J. Oper. Res., 2021

2020

Echo state network optimization using binary grey wolf algorithm.

Junxiu Liu, Tiening Sun, Yuling Luo, Su Yang, Yi Cao, Jia Zhai

Neurocomputing, 2020

An echo state network architecture based on quantum logic gate and its optimization.

Junxiu Liu, Tiening Sun, Yuling Luo, Su Yang, Yi Cao, Jia Zhai

Neurocomputing, 2020

Latent state recognition by an enhanced hidden Markov model.

Yuan Yao, Yi Cao, Jia Zhai, Junxiu Liu, Mengyuan Xiang, Lu Wang

Expert Syst. Appl., 2020

A Neural network enhanced hidden Markov model for tourism demand forecasting.

Yuan Yao, Yi Cao

Appl. Soft Comput., 2020

EEG-Based Emotion Classification Using Spiking Neural Networks.

Yuling Luo, Qiang Fu, Juntao Xie, Yunbai Qin, Guopei Wu, Junxiu Liu, Frank Jiang, Yi Cao, Xuemei Ding

IEEE Access, 2020

2019

A robust image encryption algorithm based on Chua's circuit and compressive sensing.

Yuling Luo, Jia Lin, Junxiu Liu, Duqu Wei, Lvchen Cao, Ronglong Zhou, Yi Cao, Xuemei Ding

Signal Process., 2019

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks.

Yuling Luo, Yunqi Liu, Junxiu Liu, Xue Ouyang, Yi Cao, Xuemei Ding

Int. J. Bifurc. Chaos, 2019

Wavelet-based option pricing: An empirical study.

Xiaoquan Liu, Yi Cao, Chenghu Ma, Liya Shen

Eur. J. Oper. Res., 2019

2018

An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations.

Yuling Luo, Lei Wan, Junxiu Liu, Jim Harkin, Yi Cao

Neural Process. Lett., 2018

An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers.

Yuling Luo, Ronglong Zhou, Junxiu Liu, Senhui Qiu, Yi Cao

Multim. Tools Appl., 2018

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective.

Yuling Luo, Dezheng Zhang, Junxiu Liu, Yunqi Liu, Yi Cao, Xuemei Ding

Int. J. Bifurc. Chaos, 2018

A paired neural network model for tourist arrival forecasting.

Yuan Yao, Yi Cao, Xuemei Ding, Jia Zhai, Junxiu Liu, Yuling Luo, Shuai Ma, Kailin Zou

Expert Syst. Appl., 2018

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach.

Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding

Comput. Biol. Medicine, 2018

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule.

Yuling Luo, Qiang Fu, Junxiu Liu, Yongchuang Huang, Xuemei Ding, Yi Cao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Financial Data Forecasting Using Optimized Echo State Network.

Junxiu Liu, Tiening Sun, Yuling Luo, Qiang Fu, Yi Cao, Jia Zhai, Xuemei Ding

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Coarse and fine identification of collusive clique in financial market.

Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li

Expert Syst. Appl., 2017

Data analytics enhanced component volatility model.

Yuan Yao, Jia Zhai, Yi Cao, Xuemei Ding, Junxiu Liu, Yuling Luo

Expert Syst. Appl., 2017

Computational intelligent hybrid model for detecting disruptive trading activity.

Jia Zhai, Yi Cao, Yuan Yao, Xuemei Ding, Yuhua Li

Decis. Support Syst., 2017

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes.

Yuling Luo, Qiang Fu, Junxiu Liu, Jim Harkin, Liam McDaid, Yi Cao

Proceedings of the Advances in Computational Intelligence, 2017

An Efficient Hardware Architecture for Multilayer Spiking Neural Networks.

Yuling Luo, Lei Wan, Junxiu Liu, Jinlei Zhang, Yi Cao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping.

Junxiu Liu, Xingyue Huang, Yuling Luo, Yi Cao

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A chaos-based self-adapting RGB image permutation scheme.

Yuling Luo, Ronglong Zhou, Lvchen Cao, Junxiu Liu, Jinjie Bi, Yi Cao, Senhui Qiu

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming.

Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection.

Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

On the calibration of stochastic volatility models: A comparison study.

Jia Zhai, Yi Cao

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting wash trade in the financial market.

Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting price manipulation in the financial market.

Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, Thomas Martin McGinnity

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013

A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation.

Yi Cao, Yuhua Li, Sonya A. Coleman, Ammar Belatreche, T. Martin McGinnity

Proceedings of the IEEE International Conference on Systems, 2013

2011

An Option Pricing Model Calibration Using Algorithmic Differentiation.

Emmanuel M. Tadjouddine, Yi Cao

Proceedings of the Computer and Information Sciences II, 2011