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Online Research @ Cardiff

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Number of items: 60.

Anggoro, Angga, Corcoran, Padraig

, De Widt, Dennis

and Li, Yuhua

2025. Harmonized system code classification using supervised contrastive learning with sentence BERT and multiple negative ranking loss. Data Technologies and Applications 59 (2) , pp. 279-301. 10.1108/DTA-01-2024-0052

Lewis-Cheetham, James, Li, Yuhua

, Liberatore, Federico

and Wang, Qingwei

2024. The impact of transaction costs on forecast-based trading strategy performance. Presented at: CIFEr 2024: IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Hoboken, New Jersey, USA, 22-23 October 2024. Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics. IEEE, pp. 1-8. 10.1109/CIFEr62890.2024.10772810

Bent, Graham A., Davies, Cai, Roig Vilamala, Marc, Li, Yuhua

, Preece, Alun D.

, Sola, Alex V., Di Caterina, Gaetano, Kirkland, Paul, Tutcher, Benomy, Pearson, Gavin, Bouma, Henri, Yitzhaky, Yitzhak, Prabhu, Radhakrishna and Kuijf, Hugo J. 2024. The transformative potential of vector symbolic architecture for cognitive processing at the network edge. Presented at: Security and Defence 2024, Edinburgh, UK, 16-20 September 2024. Published in: Bouma, Henri, Prabhu, Radhakrishna, Yitzhaky, Yitzhak and Kuijf, Hugo J. eds. Proceedings Artificial Intelligence for Security and Defence Applications II. , vol.13206 SPIE, p. 1320612. 10.1117/12.3030949

Bent, Graham A., Davies, Cai, Roig Vilamala, Marc, Li, Yuhua

, Preece, Alun D.

, Di Caterina, Gaetano, Vicente Sola, Alex, Kirkland, Paul, Pearson, Gavin, Tutcher, Benomy, Bouma, Henri, Yitzhaky, Yitzhak, Prabhu, Radhakrishna and Kuijf, Hugo J. 2024. A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. Presented at: Artificial Intelligence for Security and Defence Applications II, Edinburgh, UK, 17–19 September 2024. Published in: Bouma, H., Prabhu, R., Yitzhaky, Y. and Kuijf, H. J. eds. Proceedings of Artificial Intelligence for Security and Defence Applications II. (132061) SPIE, pp. 39-55. 10.1117/12.3030952

Wang, Hanzhi

, Marshall, Andrew

, Jones, Derek

and Li, Yuhua

2024. Improving high-frequency details in cerebellum for brain MRI super-resolution. Presented at: Conference on ICT Solutions for eHealth (ICTS4eHealth 2024), Paris, France, 26 - 29 June 2024. 2024 IEEE Symposium on Computers and Communications (ISCC). IEEE, pp. 1-7. 10.1109/ISCC61673.2024.10733580

Zhang, Mengqi, Treder, Matthias

, Marshall, David

and Li, Yuhua

2024. Explaining the predictions of kernel SVM models for neuroimaging data analysis. Expert Systems with Applications 251 , 123993. 10.1016/j.eswa.2024.123993

Wu, Fan

, Liu, Anqi

, Chen, Jing

and Li, Yuhua

2024. Analysing network dynamics: The contagion effects of SVB's collapse on the US tech industry. Journal of Risk and Financial Management 17 (10) , 427. 10.3390/jrfm17100427

Zhang, Mengqi, Treder, Matthias

, Marshall, Andrew

and Li, Yuhua

2024. Fast explanation of RBF-Kernel SVM models using activation patterns. Presented at: International Joint Conference on Neural Networks, Yokohama, Japan, 30 June – 5 July 2024. Proceedings of IJCNN. IEEE, pp. 1-8. 10.1109/IJCNN60899.2024.10650697

Alqurashi, Nawal, Li, Yuhua

and Sidorov, Kirill

2024. Improving speech emotion recognition through hierarchical classification and text integration for enhanced emotional analysis and contextual understanding. Presented at: International Joint Conference on Neural Networks, Yokohama, Japan, 30 June – 5 July 2024. Proceedings of IJCNN. IEEE, pp. 1-8. 10.1109/IJCNN60899.2024.10650087

Alqurashi, Nawal, Li, Yuhua

, Sidorov, Kirill

and Marshall, Andrew

2024. Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text. Presented at: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 9-11 October 2024.

Li, Siyuan

, Li, Yuhua

and Perera, Charith

2024. Mobile sensing within smart buildings: A survey. [Technical Report]. Cardiff University.

Wang, Hanzhi

, Treder, Matthias

, Marshall, David

, Jones, Derek

and Li, Yuhua

2023. A skewed loss function for correcting predictive bias in brain age prediction. IEEE Transactions on Medical Imaging 42 (6) , pp. 1577-1589. 10.1109/TMI.2022.3231730

Zhang, Feng, Zhao, Huihuang, Li, Yuhua

, Wu, Yichun and Sun, Xianfang

2023. CBA-GAN: Cartoonization style transformation based on the convolutional attention module. Computers and Electrical Engineering 106 , 108575. 10.1016/j.compeleceng.2022.108575

Anggoro, Angga Wahyu, Corcoran, Padraig

, De Widt, Dennis

and Li, Yuhua

2023. Using DistilBERT to assign HS codes to international trading transactions. Presented at: World Conference on Information Systems and Technologies, Pisa, Italy, 4 - 6 April 2023.
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Sidorowicz, Tomas, Peres, Pedro and Li, Yuhua

2022. A novel approach for cross-selling insurance products using positive unlabelled learning. Presented at: 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18 - 23 July 2022. 2022 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics Engineers, pp. 1-8. 10.1109/IJCNN55064.2022.9892762

Bent, Graham, Simpkin, Christopher, Li, Yuhua

and Preece, Alun

2022. Energy efficient spiking neural network neuromorphic processing to enable decentralised service workflow composition in support of multi-domain operations. Presented at: SPIE Defense + Commercial Sensing 2022, Orlando, Florida, United States, 3 April - 13 June 2022. Published in: Pham, Tien and Solomon, Latasha eds. Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications. , vol.12113 SPIE, 121131M. 10.1117/12.2617362

Bent, Graham, Simpkin, Christopher, Li, Yuhua

and Preece, Alun

2022. Hyperdimensional computing using time-to-spike neuromorphic circuits. Presented at: 2022 IEEE World Congress on Computational Intelligence (WCCI), Padova, Italy, 18-23 July 2022. International Joint Conference on Neural Networks. IEEE,

Sohail, Misbah, Peres, Pedro and Li, Yuhua

2021. Feature importance analysis for customer management of insurance products. Presented at: 2021 International Joint Conference on Neural Networks (IJCNN), Virtual, 18-22 July 2021.

Zhao, Huihuang, Zheng, Jinghua, Wang, Yaonan, Yuan, Xiaofang and Li, Yuhua

2020. Portrait style transfer using deep convolutional neural networks and facial segmentation. Computers and Electrical Engineering 85 , 106655. 10.1016/j.compeleceng.2020.106655

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua

, Cosma, Georgina, Maguire, Liam P. and McGinnity, T.M. 2020. A review of learning in biologically plausible spiking neural networks. Neural Networks 122 , pp. 253-272. 10.1016/j.neunet.2019.09.036

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua

and Maguire, Liam P. 2018. A supervised learning algorithm for learning precise timing of multiple spikes in multilayer spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems 29 (11) , pp. 5394-5407. 10.1109/TNNLS.2018.2797801

Liu, Shuo, Zeng, Jinshu, Gong, Huizhou, Yang, Hongqin, Zhai, Jia, Cao, Yi, Liu, Junxiu, Luo, Yuling, Li, Yuhua

, Maguire, Liam and Ding, Xuemei 2018. Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Computers in Biology and Medicine 92 , pp. 168-175. 10.1016/j.compbiomed.2017.11.014

Shynkevich, Yauheniya, McGinnity, T.M., Coleman, Sonya A., Belatreche, Ammar and Li, Yuhua

2017. Forecasting price movements using technical indicators: Investigating the impact of varying input window length. Neurocomputing 264 , 71--88. 10.1016/j.neucom.2016.11.095

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

2017. Coarse and fine identification of collusive clique in financial market. Expert Systems with Applications 69 , pp. 225-238. 10.1016/j.eswa.2016.10.051

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

2017. Computational intelligent hybrid model for detecting disruptive trading activity. Decision Support Systems 93 , 26--41. 10.1016/j.dss.2016.09.003

Cao, Yi, Li, Yuhua

, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2016. Detecting wash trade in financial market using digraphs and dynamic programming. IEEE Transactions on Neural Networks and Learning Systems 27 (11) , pp. 2351-2363. 10.1109/TNNLS.2015.2480959

Raza, Haider, Cecotti, Hubert, Li, Yuhua

and Prasad, Girijesh 2016. Adaptive learning with covariate shift-detection for motor imagery-based brain–computer interface. Soft Computing 20 (8) , 3085--3096. 10.1007/s00500-015-1937-5

Liu, Junxiu, Harkin, Jim, Li, Yuhua

and Maguire, Liam P. 2016. Fault-tolerant networks-on-chip routing with coarse and fine-grained look-ahead. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 35 (2) , pp. 260-273. 10.1109/TCAD.2015.2459050

Liu, Junxiu, Harkin, Jim, Li, Yuhua

and Maguire, Liam 2015. Low cost fault-tolerant routing algorithm for Networks-on-Chip. Microprocessors and Microsystems 39 (6) , pp. 358-372. 10.1016/j.micpro.2015.06.002

Raza, Haider, Prasad, Girijesh and Li, Yuhua

2015. EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition 48 (3) , pp. 659-669. 10.1016/j.patcog.2014.07.028

Ding, Xuemei, Li, Yuhua

, Belatreche, Ammar and Maguire, Liam P. 2015. Novelty detection using level set methods. IEEE Transactions on Neural Networks and Learning Systems 26 (3) , pp. 576-588. 10.1109/TNNLS.2014.2320293

Cao, Yi, Li, Yuhua

, Coleman, Sonya, Belatreche, Ammar and McGinnity, Thomas Martin 2015. Adaptive hidden Markov model with anomaly states for price manipulation detection. IEEE Transactions on Neural Networks and Learning Systems 26 (2) , pp. 318-330. 10.1109/TNNLS.2014.2315042

Taherkhani, Aboozar, Belatreche, Ammar, Li, Yuhua

and Maguire, Liam P. 2015. DL-ReSuMe: A delay learning-based remote supervised method for spiking neurons. IEEE Transactions on Neural Networks and Learning Systems 26 (12) , pp. 3137-3149. 10.1109/TNNLS.2015.2404938

Liu, Junxiu, Harkin, Jim, Li, Yuhua

, Maguire, Liam and Linares-Barranco, Alejandro 2014. Low overhead monitor mechanism for fault-tolerant analysis of NoC. Presented at: 8th International Symposium On Embedded Multicore/manycore Socs, Aizu-Wakamatsu, Japan, 23-25 Sep 2014. 8th International Symposium on Embedded Multicore/manycore Socs. IEEE, pp. 189-196. 10.1109/MCSoC.2014.35

Liu, Junxiu, Harkin, Jim, Li, Yuhua

and Maguire, Liam 2014. Online fault detection for Networks-on-Chip interconnect. Presented at: 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS), Leicester, UK, 14-17 Jul 2014. 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2014). Piscataway, NJ: IEEE, pp. 31-38. 10.1109/AHS.2014.6880155

Ding, Xuemei, Li, Yuhua

, Belatreche, Ammar and Maguire, Liam P. 2014. An experimental evaluation of novelty detection methods. Neurocomputing 135 , pp. 313-327. 10.1016/j.neucom.2013.12.002

Raza, Haider, Prasad, Girijesh and Li, Yuhua

2014. Dataset shift detection in non-stationary environments using EWMA charts. Presented at: 2013 IEEE International Conference on Systems, Man, and Cybernetics, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man, and Cybernetics. Piscataway, New Jersey: IEEE, pp. 3151-3156. 10.1109/SMC.2013.537

Ding, Xuemei, Li, Yuhua

, Belatreche, Ammar and Maguire, Liam P. 2014. Novelty detection using level set methods with adaptive boundaries. Presented at: SMC 2013, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Piscataway, NJ: IEEE, pp. 3020-3025. 10.1109/SMC.2013.515

Cao, Yi, Li, Yuhua

, Coleman, Sonya, Belatreche, Ammar and McGinnity, T. M. 2014. A hidden Markov model with abnormal states for detecting stock price manipulation. Presented at: SMC 2013, Manchester, UK, 13-16 Oct 2013. 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics Piscataway, NJ: IEEE, pp. 3014-3019. 10.1109/SMC.2013.514

Liu, Junxiu, Harkin, Jim, Li, Yuhua

and Maguire, Liam 2014. Online traffic-aware fault detection for networks-on-chip. Journal of Parallel and Distributed Computing 74 (1) , pp. 1984-1993. 10.1016/j.jpdc.2013.09.001

McDonald, Scott, Coleman, Sonya, McGinnity, T. M. and Li, Yuhua

2014. A hybrid forecasting approach using ARIMA models and self-organising fuzzy neural networks for capital markets. Presented at: 2013 International Joint Conference on Neural Networks (IJCNN), Dallas, TX. USA, 4-9 August 2013. The 2013 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-7. 10.1109/IJCNN.2013.6706965

Raza, Haider, Prasad, Girijesh and Li, Yuhua

2013. EWMA based two-stage dataset shift-detection in non-stationary environments. Presented at: AIAI 2013, Paphos, Cyprus, 30 Sep - 2 Oct 2013. Published in: Papadopoulos, Harris, Andreou, Andreas S., Iliadis, Lazaros and Maglogiannis, Ilias eds. Artificial Intelligence Applications and Innovations. IFIP Advances in Information and Communication Technology , vol.412 Berlin, Heidelberg: Springer, pp. 625-635. 10.1007/978-3-642-41142-7_63

Goel, Garima, Maguire, Liam, Li, Yuhua

and McLoone, Sean 2013. Evaluation of sampling methods for learning from imbalanced data. Presented at: ICIC 2013, Nanning, China, 28-31 Jul 2013. Published in: Huang, De-Shuang, Bevilacqua, Vitoantonio, Figueroa, Juan Carlos and Premaratne, Prashan eds. Intelligent Computing Theories. Lecture Notes in Computer Science. Information Systems and Applications, incl. Internet/Web, and HCI , vol.7995 Berlin, Heidelberg: Springer, pp. 392-401. 10.1007/978-3-642-39479-9_47

Ding, Xuemei, Li, Yuhua

, Belatreche, Ammar and Maguire, Liam 2012. Constructing minimum volume surfaces using level set methods for novelty detection. Presented at: IJCNN 2012 International Join Conference on Neural Networks, Brisbane, QLD, Australia, 10-15 June 2012. The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN) IEEE, pp. 1-6. 10.1109/IJCNN.2012.6252804

Zhang, Kui, Li, Yuhua

, Scarf, Philip and Ball, Andrew 2011. Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks. Neurocomputing 74 (17) , pp. 2941-2952. 10.1016/j.neucom.2011.03.043

Zhang, Kui, Ball, A D, Li, Yuhua

and Gu, Fengshou 2011. A novel feature selection algorithm for high-dimensional condition monitoring data. International Journal of Condition Monitoring 1 (1) , pp. 33-43. 10.1784/204764211798089075

Li, Yuhua

and Maguire, Liam 2011. Selecting critical patterns based on local geometrical and statistical information. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (6) , pp. 1189-1201. 10.1109/TPAMI.2010.188

Li, Yuhua

2011. Selecting training points for one-class support vector machines. Pattern recognition letters 32 (11) , pp. 1517-1522. 10.1016/j.patrec.2011.04.013

Li, Yuhua

2009. A surface representation approach for novelty detection. Presented at: International Conference on Information and Automation 2008, Changsha, China, 20-23 June 2008. 2008 International Conference on Information and Automation. IEEE, pp. 1464-1468. 10.1109/ICINFA.2008.4608233

Zhang, Kui, Ball, Andrew, Gu, Fengshou and Li, Yuhua

2007. A hybrid model with a weighted voting scheme for feature selection in machinery condition monitoring. Presented at: IEEE International Conference on Automation Science and Engineering 2007, Scottsdale, AZ, United States, 22-25 September 2007. 2007 IEEE International Conference on Automation Science and Engineering. IEEE, pp. 174-179. 10.1109/COASE.2007.4341697

Ben Sasi, Ahmed Y., Gu, Fengshou, Li, Yuhua

and Ball, Andrew D. 2006. A validated model for the prediction of rotor bar failure in squirrel-cage motors using instantaneous angular speed. Mechanical Systems and Signal Processing 20 (7) , pp. 1572-1589. 10.1016/j.ymssp.2005.09.010

Li, Yuhua

, McLean, D., Bandar, Z.A., O'Shea, J.D. and Crockett, K. 2006. Sentence similarity based on semantic nets and corpus statistics. IEEE Transactions on Knowledge and Data Engineering 18 (8) , pp. 1138-1150. 10.1109/TKDE.2006.130

Li, Yuhua

, Gu, Fengshou, Harris, Georgina, Ball, Andrew, Bennett, Nick and Travis, Ken 2005. The measurement of instantaneous angular speed. Mechanical Systems and Signal Processing 19 (4) , pp. 786-805. 10.1016/j.ymssp.2004.04.003

Gu, Fengshou, Yesilyurt, Iisa, Li, Yuhua

, Harris, Georgina and Ball, Andrew 2005. An investigation of the effects of measurement noise in the use of instantaneous angular speed for machine diagnosis. Mechanical Systems and Signal Processing 20 (6) , pp. 1444-1460. 10.1016/j.ymssp.2005.02.001

Li, Yuhua

, Bandar, Z.A. and McLean, D. 2003. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering 15 (4) , pp. 871-882. 10.1109/TKDE.2003.1209005

Li, Yuhua

, Bandar, Zuhair and Mclean, David 2002. Measuring semantic similarity between words using lexical knowledge and neural networks. Presented at: 3rd International Conference on Intelligent Data Engineering and Automated Learning — IDEAL 2002, Manchester, England, UK, 12-14 August 2002. Intelligent Data Engineering and Automated Learning — IDEAL 2002. Lecture Notes in Computer Science , vol.2412 Berlin and Heidelberg: Springer, pp. 111-116. 10.1007/3-540-45675-9_19

Li, Yuhua

, Pont, Michael J. and Jones, N. Barrie 2002. Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur. Pattern Recognition Letters 23 (5) , pp. 569-577. 10.1016/S0167-8655(01)00133-7

Li, Yuhua

, Pont, Michael J. and Barrie Jones, N. 2002. Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where `unknown' faults may occur. Pattern recognition letters 23 (5) , pp. 569-577. 10.1016/S0167-8655(01)00133-7

Li, Yuhua

, Pont, Michael J., Jones, N. Barrie and Twiddle, JA 2001. Applying MLP and RBF classifiers in embedded condition monitoring and fault diagnosis systems. Transactions of the Institute of Measurement and Control 23 (5) , pp. 315-343. 10.1177/014233120102300504

Li, Yuhua

, Pont, M. J., Parikh, C. R. and Jones, N. B. 2000. Comparing the performance of three neural classifiers for use in embedded applications. Presented at: Workshop 99 on Recent Advances in Soft Computing, Leicester, England, 01-02 July 1999. Published in: John, Robert and Birkenhead, Ralph eds. Soft Computing Techniques and Applications. Advances in Soft Computing Physica, pp. 34-29.

This list was generated on Mon Jul 14 05:54:50 2025 BST.