Yuhua Li

Orcid: 0000-0003-2913-4478

Affiliations:
  • Cardiff University, School of Computer Science and Informatics, UK
  • University of Salford, School of Computing, Science and Engineering, UK (2014 - 2017)
  • University of Leicester, UK (PhD 2011)
  • Ulster University, Londonderry, UK (2005 - 2014)
  • Manchester Metropolitan University, Intelligent System Group, Department of Computing and Mathematics, UK


According to our database1, Yuhua Li authored at least 63 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explaining the predictions of kernel SVM models for neuroimaging data analysis.
Expert Syst. Appl., 2024

Improving High-Frequency Details in Cerebellum for Brain MRI Super-Resolution.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
A Skewed Loss Function for Correcting Predictive Bias in Brain Age Prediction.
IEEE Trans. Medical Imaging, June, 2023

CBA-GAN: Cartoonization style transformation based on the convolutional attention module.
Comput. Electr. Eng., March, 2023

2022
Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN.
CoRR, 2022

A Novel Approach for Cross-Selling Insurance Products Using Positive Unlabelled Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Feature Importance Analysis for Customer Management of Insurance Products.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
A review of learning in biologically plausible spiking neural networks.
Neural Networks, 2020

Portrait style transfer using deep convolutional neural networks and facial segmentation.
Comput. Electr. Eng., 2020

2018
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach.
Comput. Biol. Medicine, 2018

2017
Forecasting price movements using technical indicators: Investigating the impact of varying input window length.
Neurocomputing, 2017

Coarse and fine identification of collusive clique in financial market.
Expert Syst. Appl., 2017

Computational intelligent hybrid model for detecting disruptive trading activity.
Decis. Support Syst., 2017

2016
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2016

Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.
Soft Comput., 2016

2015
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2015

Novelty Detection Using Level Set Methods.
IEEE Trans. Neural Networks Learn. Syst., 2015

Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection.
IEEE Trans. Neural Networks Learn. Syst., 2015

EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments.
Pattern Recognit., 2015

Low cost fault-tolerant routing algorithm for Networks-on-Chip.
Microprocess. Microsystems, 2015

Sentiment Classification in the Financial Domain Using? SVM and Multi-Objective Optimisation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Bio-inspired hierarchical framework for multi-view face detection and pose estimation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Bio-Inspired Hybrid Framework for Multi-view Face Detection.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
Online traffic-aware fault detection for networks-on-chip.
J. Parallel Distributed Comput., 2014

An experimental evaluation of novelty detection methods.
Neurocomputing, 2014

Adaptive learning with covariate shift-detection for non-stationary environments.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC.
Proceedings of the IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, 2014

A locally adaptive boundary evolution algorithm for novelty detection using level set methods.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new biologically plausible supervised learning method for spiking neurons.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Pre-processing online financial text for sentiment classification: A natural language processing approach.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Forecasting stock price directional movements using technical indicators: Investigating window size effects on one-step-ahead forecasting.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

A comparison of forecasting approaches for capital markets.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Multi-agent pre-trade analysis acceleration in FPGA.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting wash trade in the financial market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Detecting price manipulation in the financial market.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Hardware-based agent modelling: event-driven reactive architecture (EDRA).
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Online fault detection for Networks-on-Chip interconnect.
Proceedings of the 2014 NASA/ESA Conference on Adaptive Hardware and Systems, 2014

2013
Dataset Shift Detection in Non-stationary Environments Using EWMA Charts.
Proceedings of the IEEE International Conference on Systems, 2013

Novelty Detection Using Level Set Methods with Adaptive Boundaries.
Proceedings of the IEEE International Conference on Systems, 2013

A Hidden Markov Model with Abnormal States for Detecting Stock Price Manipulation.
Proceedings of the IEEE International Conference on Systems, 2013

A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Evaluation of Sampling Methods for Learning from Imbalanced Data.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

2012
Constructing minimum volume surfaces using level set methods for novelty detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Selecting training points for one-class support vector machines.
Pattern Recognit. Lett., 2011

Selecting Critical Patterns Based on Local Geometrical and Statistical Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks.
Neurocomputing, 2011

2010
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

2007
A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006
Sentence Similarity Based on Semantic Nets and Corpus Statistics.
IEEE Trans. Knowl. Data Eng., 2006

2004
A Method for Measuring Sentence Similarity and iIts Application to Conversational Agents.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

2003
An Approach for Measuring Semantic Similarity between Words Using Multiple Information Sources.
IEEE Trans. Knowl. Data Eng., 2003

2002
Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur.
Pattern Recognit. Lett., 2002

Measuring Semantic Similarity Between Words Using Lexical Knowledge and Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002


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