An Option Pricing Model Calibration Using Algorithmic Differentiation. - Emmanuel M. Tadjouddine; Yi Cao 001 (ISCIS, 2011)

A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation. - Yi Cao 001; Yuhua Li 001; Sonya A. Coleman; Ammar Belatreche; T. Martin McGinnity (SMC, 2013)

Detecting price manipulation in the financial market. - Yi Cao 001; Yuhua Li 001; Sonya A. Coleman; Ammar Belatreche; Thomas Martin McGinnity (CIFEr, 2014)

Detecting wash trade in the financial market. - Yi Cao 001; Yuhua Li 001; Sonya A. Coleman; Ammar Belatreche; Thomas Martin McGinnity (CIFEr, 2014)

On the calibration of stochastic volatility models: A comparison study. - Jia Zhai; Yi Cao 001 (CIFEr, 2014)

Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection. - Yi Cao 001; Yuhua Li 001; Sonya A. Coleman; Ammar Belatreche; Thomas Martin McGinnity (IEEE Trans. Neural Networks Learn. Syst., 2015)

Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming. - Yi Cao 001; Yuhua Li 001; Sonya A. Coleman; Ammar Belatreche; Thomas Martin McGinnity (IEEE Trans. Neural Networks Learn. Syst., 2016)

A chaos-based self-adapting RGB image permutation scheme. - Yuling Luo; Ronglong Zhou; Lvchen Cao; Junxiu Liu; Jinjie Bi; Yi Cao 001; Senhui Qiu (ICNC-FSKD, 2017)

An Energy-Aware Hybrid Particle Swarm Optimization Algorithm for Spiking Neural Network Mapping. - Junxiu Liu; Xingyue Huang; Yuling Luo; Yi Cao 001 (ICONIP (3), 2017)

An Efficient Hardware Architecture for Multilayer Spiking Neural Networks. - Yuling Luo; Lei Wan; Junxiu Liu; Jinlei Zhang; Yi Cao 001 (ICONIP (6), 2017)

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Jim Harkin; Liam McDaid; Yi Cao 001 (IWANN (1), 2017)

Computational intelligent hybrid model for detecting disruptive trading activity. - Jia Zhai; Yi Cao 001; Yuan Yao; Xuemei Ding; Yuhua Li 001 (Decis. Support Syst., 2017)

Data analytics enhanced component volatility model. - Yuan Yao; Jia Zhai; Yi Cao 001; Xuemei Ding; Junxiu Liu; Yuling Luo (Expert Syst. Appl., 2017)

Coarse and fine identification of collusive clique in financial market. - Jia Zhai; Yi Cao 001; Yuan Yao; Xuemei Ding; Yuhua Li 001 (Expert Syst. Appl., 2017)

Financial Data Forecasting Using Optimized Echo State Network. - Junxiu Liu; Tiening Sun; Yuling Luo; Qiang Fu 019; Yi Cao 001; Jia Zhai; Xuemei Ding (ICONIP (5), 2018)

Improving the Stability for Spiking Neural Networks Using Anti-noise Learning Rule. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Yongchuang Huang; Xuemei Ding; Yi Cao 001 (PRICAI, 2018)

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. - Shuo Liu; Jinshu Zeng; Huizhou Gong; Hongqin Yang; Jia Zhai; Yi Cao 001; Junxiu Liu; Yuling Luo; Yuhua Li 001; Liam P. Maguire; Xuemei Ding (Comput. Biol. Medicine, 2018)

A paired neural network model for tourist arrival forecasting. - Yuan Yao; Yi Cao 001; Xuemei Ding; Jia Zhai; Junxiu Liu; Yuling Luo; Shuai Ma; Kailin Zou (Expert Syst. Appl., 2018)

Cryptanalysis of Chaos-Based Cryptosystem from the Hardware Perspective. - Yuling Luo; Dezheng Zhang; Junxiu Liu; Yunqi Liu; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 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 001 (Multim. Tools Appl., 2018)

An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations. - Yuling Luo; Lei Wan; Junxiu Liu; Jim Harkin; Yi Cao 001 (Neural Process. Lett., 2018)

Wavelet-based option pricing: An empirical study. - Xiaoquan Liu; Yi Cao 001; Chenghu Ma; Liya Shen (Eur. J. Oper. Res., 2019)

ECM-IBS: A Chebyshev Map-Based Broadcast Authentication for Wireless Sensor Networks. - Yuling Luo; Yunqi Liu; Junxiu Liu; Xue Ouyang; Yi Cao 001; Xuemei Ding (Int. J. Bifurc. Chaos, 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 001; Xuemei Ding (Signal Process., 2019)

EEG-Based Emotion Classification Using Spiking Neural Networks. - Yuling Luo; Qiang Fu 019; Juntao Xie; Yunbai Qin; Guopei Wu; Junxiu Liu; Frank Jiang 001; Yi Cao 001; Xuemei Ding (IEEE Access, 2020)

A Neural network enhanced hidden Markov model for tourism demand forecasting. - Yuan Yao; Yi Cao 001 (Appl. Soft Comput., 2020)

Latent state recognition by an enhanced hidden Markov model. - Yuan Yao; Yi Cao 001; Jia Zhai; Junxiu Liu; Mengyuan Xiang; Lu Wang (Expert Syst. Appl., 2020)

An echo state network architecture based on quantum logic gate and its optimization. - Junxiu Liu; Tiening Sun; Yuling Luo; Su Yang 002; Yi Cao 001; Jia Zhai (Neurocomputing, 2020)

Echo state network optimization using binary grey wolf algorithm. - Junxiu Liu; Tiening Sun; Yuling Luo; Su Yang 002; Yi Cao 001; Jia Zhai (Neurocomputing, 2020)

Option valuation under no-arbitrage constraints with neural networks. - Yi Cao 001; Xiaoquan Liu; Jia Zhai (Eur. J. Oper. Res., 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 001 (Expert Syst. Appl., 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 001 (Inf. Sci., 2021)

Predicting Financial Volatility from Personal Transactional Data. - Rui Ying Goh; Galina Andreeva; Yi Cao 001 (CIFEr, 2022)

A travel customer segmentation method based on improved RFM and k-means++. - Shaodong Huang; Sheng Qin; Xiaoxiao Jiang; Yi Cao 001 (CSSE, 2022)

A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer's disease. - Shuo Liu; Yi Cao 001; Junxiu Liu; Xuemei Ding; Damien Coyle (Int. J. Mach. Learn. Cybern., 2023)

The open banking era: An optimal model for the emergency fund. - Junxiu Liu; Shaodong Huang; Qiang Fu 019; Yuling Luo; Sheng Qin; Yi Cao 001; Jia Zhai; Su Yang 002 (Expert Syst. Appl., 2024)

EEG-based emotion detection using Long Short-Term Memory Network and reinforcement learning for enhanced feature selection. - Junxiu Liu; Guopei Wu; Qiang Fu 019; Yuling Luo; Su Yang 002; Senhui Qiu; Yi Cao 001; Wei Li 055 (Appl. Soft Comput., 2025)