Yr Athro Ying Liu

BEng & MEng (Chongqing Univ, China), MSc (SMA, NTU), PhD (SMA, NUS)

2025

• Liao, X., Chen, C., Wang, Z., Liu, Y., Wang, T. and Cheng, L. 2025. Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis. Advanced Engineering Informatics 65(Part A), article number: 103134. (10.1016/j.aei.2025.103134)
• Wan, Y., Chen, Z., Liu, Y., Chen, C. and Packianather, M. 2025. Empowering LLMs by hybrid retrieval-augmented generation for domain-centric Q&A in smart manufacturing. Advanced Engineering Informatics 65, article number: 103212. (10.1016/j.aei.2025.103212)
• Zhu, Y., Yan, W., Liang, X., Zhang, X., Jiang, Z., Liu, Y. and Lei, J. 2025. Service-oriented multi-stakeholder collaborative network optimization for EoL batteries recycling. Flexible Services and Manufacturing Journal (10.1007/s10696-025-09609-6)
• Zhao, K., Liu, Y., Zhou, Y., Ming, W. and Wu, J. 2025. Digital twin-supported battery state estimation based on TCN-LSTM neural networks and transfer learning. CSEE Journal of Power and Energy Systems 11(2), pp. 567-579. (10.17775/CSEEJPES.2024.00900)
• Li, S., Zhou, X., Liu, Y., Chen, J., Guo, T., Yang, W. and Hou, L. 2025. Agile conceptual design and validation based on multi-source product data and large language models: a review, framework, and outlook. Journal of Engineering Design 36(4), pp. 473-503. (10.1080/09544828.2025.2476879)
• Lambay, A. J., Liu, Y., Morgan, P. and Ji, Z. 2025. Generating synthetic datasets with deep learning models for human physical fatigue analysis. Machines 13(3), article number: 235. (10.3390/machines13030235)
• You, Y., Cai, B., Pham, D. T., Liu, Y. and Ji, Z. 2025. A human digital twin approach for fatigue-aware task planning in human-robot collaborative assembly. Computers & Industrial Engineering 200, article number: 110774. (10.1016/j.cie.2024.110774)
• Alasmari, L., Packianather, M., Tuthill, P., Liu, Y. and Guo, X. 2025. Assessing the circular transformation of warehouse operations through simulation. Presented at: The International Conference on Industry 4.0 and Smart Manufacturing (ISM), Prague, Czech Republic, 20-22 November 2024, Vol. 253. pp. 1124-1133., (10.1016/j.procs.2025.01.174)
• Zhao, K., Liu, Y., Zhou, Y., Ming, W. and Wu, J. 2025. A Hierarchical and Self-Evolving Digital Twin (HSE-DT) method for multi-faceted battery situation awareness realisation. Machines 13(3), article number: 175. (10.3390/machines13030175)
• Wu, S., Zhou, Y., Xing, W., Liu, Y. and Chen, X. 2025. TVMS calculation model for gear tooth tip chipping failure with EHL. Engineering Failure Analysis 167(PartA), article number: 108971. (10.1016/j.engfailanal.2024.108971)
• Chen, C., Wang, T., Mao, D., Liu, Y. and Cheng, L. 2025. A multi-scale graph pyramid attention network with knowledge distillation towards edge computing robotic fault diagnosis. Expert Systems with Applications 260, article number: 125469. (10.1016/j.eswa.2024.125469)
• Jin, Z., Chen, C., Syntetos, A. and Liu, Y. 2025. Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP. Autonomous Intelligent Systems 5(1), article number: 2. (10.1007/s43684-024-00088-4)
• Jin, J., Yang, M., Hu, H., Guo, X., Luo, J. and Liu, Y. 2025. Empowering design innovation using AI-generated content. Journal of Engineering Design 36(1), pp. 1-18. (10.1080/09544828.2024.2401751)
• Chen, Y., Zhang, H., Yan, W., Zhang, X., Jiang, Z. and Liu, Y. 2025. A multi-dimensional data integration approach for machining system multi-level energy consumption modelling and prediction. International Journal of Computer Integrated Manufacturing (10.1080/0951192X.2025.2478011)

2024

• Chen, C., Wang, T., Lu, K., Liu, Y. and Cheng, L. 2024. Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot. Engineering Applications of Artificial Intelligence 138(PartA), article number: 109315. (10.1016/j.engappai.2024.109315)
• Liu, Q., Wei, X., Wang, Q., Song, J., Lv, J., Liu, Y. and Tang, O. 2024. An investigation of mixed-model assembly line balancing problem with uncertain assembly time in remanufacturing. Computers & Industrial Engineering 198, article number: 110676. (10.1016/j.cie.2024.110676)
• Zhang, X., Wang, S., Gao, F., Wang, H., Wu, H. and Liu, Y. 2024. An intelligent surface roughness prediction method based on automatic feature extraction and adaptive data fusion. Autonomous Intelligent Systems 4(1), article number: 27. (10.1007/s43684-024-00083-9)
• Wan, Y., Liu, Y., Chen, Z., Chen, C., Li, X., Hu, F. and Packianather, M. 2024. Making knowledge graphs work for smart manufacturing: Research topics, applications and prospects. Journal of Manufacturing Systems 76, pp. 103-132. (10.1016/j.jmsy.2024.07.009)
• Wang, T., Huang, Y., Liu, Y. and Chen, C. 2024. Data privacy preserving for centralized robotic fault diagnosis with modified dataset distillation. Journal of Computing and Information Science in Engineering 24(10), article number: 101005. (10.1115/1.4066096)
• Bao, X., Zheng, Y., Chen, L., Wu, D., Chen, X. and Liu, Y. 2024. Abnormal pattern recognition for online inspection in manufacturing process based on multi-scale time series classification. Journal of Manufacturing Systems 76, pp. 457-477. (10.1016/j.jmsy.2024.08.005)
• Yang, J., Liu, Y. and Morgan, P. L. 2024. Human-machine interaction towards Industry 5.0: Human-centric smart manufacturing. Digital Engineering 2, article number: 100013. (10.1016/j.dte.2024.100013)
• Zhou, T., Liu, Y. and Kumar, M. 2024. AI-powered chatbots for improving interactive user experience: state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024.
• Lambay, A., Liu, Y., Morgan, P. L. and Ji, Z. 2024. Machine learning assisted human fatigue detection, monitoring, and recovery: a review. Digital Engineering 1, article number: 100004. (10.1016/j.dte.2024.100004)
• Xiao, A., Yan, W., Zhang, X., Liu, Y., Zhang, H. and Liu, Q. 2024. Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction. Autonomous Intelligent Systems 4(1), article number: 10. (10.1007/s43684-024-00072-y)
• You, Y., Liu, Y. and Ji, Z. 2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: The 25th IEEE International Conference on Industrial Technology, Bristol, UK, 25-27 March 2024Proceedings of the 25th IEEE International Conference on Industrial Technology. IEEE pp. 1-6., (10.1109/ICIT58233.2024.10541029)
• You, Y., Liu, Y. and Ji, Z. 2024. Human digital twin for real-time physical fatigue estimation in human-robot collaboration. Presented at: IEEE International Conference on Industrial Technology (ICIT), Bristol, United Kingdom, 25-27 March 20242024 IEEE International Conference on Industrial Technology (ICIT). IEEE, (10.1109/ICIT58233.2024.10541029)
• Jin, Z., Chen, C., Liu, Q., Syntetos, A. and Liu, Y. 2024. Compact convolutional transformer for bearing remaining useful life prediction. Presented at: IWAR 2023- VII International Workshop on Autonomous Remanufacturing, Caserta, Italy, 18-19 October 2023 Presented at Fera, M. et al. eds.Advances in Remanufacturing. IWAR 2023. Lecture Notes in Mechanical Engineering Cham, Switzerland: Springer pp. 227-238., (10.1007/978-3-031-52649-7_18)
• Yang, J., Liu, Y. and Morgan, P. 2024. Sensor and data: key elements of human-machine interaction for human-centric smart manufacturing. Presented at: 5th International Conference on Industry 4.0 and Smart Manufacturing, Lisbon, Portugal, 22-24 November 2023 Presented at Longo, F., Shen, W. and Padovano, A. eds. Elsevier pp. 191-200., (10.1016/j.procs.2024.01.019)
• Chen, Z., Wan, Y., Liu, Y. and Valera Medina, A. 2024. A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling. Information Fusion 101, article number: 101985. (10.1016/j.inffus.2023.101985)
• Guo, Y., Wang, L., Zhang, Z., Cao, J., Xia, X. and Liu, Y. 2024. Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach. Advanced Engineering Informatics 59, article number: 102254. (10.1016/j.aei.2023.102254)
• Yan, W., Wang, X., Liu, Y., Zhang, X., Jiang, Z. and Huang, L. 2024. A stochastic programming approach for EOL electric vehicle batteries recovery network design under uncertain conditions. Scientific Reports 14(1), article number: 876. (10.1038/s41598-024-51169-6)
• Hejazi, S. Z., Packianather, M. and Liu, Y. 2024. A novel customised load adaptive framework for induction motor fault classification utilising MFPT bearing dataset. Machines 12(1), article number: 44. (10.3390/machines12010044)
• Lambay, A. J., Morgan, P. L., Liu, Y. and Ji, Z. 2024. Model training through synthetic data generation:Investigating the impact on human physical fatigue. Presented at: International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24 - 27 July 2024 Presented at Nunes, I. L. ed.AHFE International: Human Factors and Systems Interaction, Vol. 154. New York: AHFE Open Access pp. 22-31., (10.54941/ahfe1005349)
• Liu, Y., Liu, Y., McCrory, J. and Guo, X. 2024. High-fidelity digital twin modelling for predictive maintenance state-of-the-art. Presented at: The 51st International Conference on Computers and Industrial Engineering (CIE51), Sydney, Australia, 9-11 December 2024.
• Li, Y., Liu, Y., Robson, S. and Ryan, M. 2024. Towards an energy consumption optimisation framework in selective laser sintering system: Leveraging deep learning and FPGA technologies. Presented at: 4th ICPR AEM Poznań 2024, Poznan, Poland, 28 June- 3 July 2024.

2023

• Guo, X., Huang, Z., Liu, Y., Zhao, W. and Yu, Z. 2023. Harnessing multi-domain knowledge for user-centric product conceptual design. Journal of Computing and Information Science in Engineering 23(6), article number: 60807. (10.1115/1.4062456)
• Chen, C., Fu, H., Zheng, Y., Tao, F. and Liu, Y. 2023. The advance of digital twin for predictive maintenance: The role and function of machine learning. Journal of Manufacturing Systems 71, pp. 581-594. (10.1016/j.jmsy.2023.10.010)
• Hejazi, S., Packianather, M. and Liu, Y. 2023. A Novel approach using WGAN-GP and conditional WGAN-GP for generating artificial thermal images of induction motor faults. Presented at: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2023), 06-08 September 2023, Vol. 225. Elsevier pp. 3681-3691., (10.1016/j.procs.2023.10.363)
• Feng, Z., Ding, X., Zhang, H., Liu, Y., Yan, W. and Jiang, X. 2023. An energy consumption estimation method for the tool setting process in CNC milling based on the modular arrangement of predetermined time standards. Energies 16(20), article number: 7064. (10.3390/en16207064)
• Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)
• Li, C., Wu, J., Liu, Y., Ludtke, I. and Ming, W. 2023. Two-port measurement of packaging parasitic inductance in SiC half-bridge power modules considering mutual inductance*. Presented at: 3rd International Conference on Industrial Electronics for Sustainable Energy Systems, Shanghai, China, 26-28 July 2023Proceedings of 3rd International Conference on Industrial Electronics for Sustainable Energy Systems. IEEE pp. 1-6., (10.1109/IESES53571.2023.10253690)
• Hu, F. et al. 2023. Task-driven data fusion for additive manufacturing: framework, approaches, and case studies. Journal of Industrial Information Integration 34, article number: 100484. (10.1016/j.jii.2023.100484)
• Li, X., Zheng, P., Sha, Z., Wu, D. and Liu, Y. 2023. Industrial knowledge graph-enabled cognitive intelligence-driven mass personalization. Advanced Engineering Informatics 57, article number: 102022. (10.1016/j.aei.2023.102022)
• Lian, X., Liu, Y., Bu, X. and Hou, L. 2023. Combined forecasting approach for product quality based on support vector regression and gray forecasting model. Advanced Engineering Informatics 57, article number: 102070. (10.1016/j.aei.2023.102070)
• Li, Y., Hu, F., Liu, Y., Ryan, M. and Wang, R. 2023. A hybrid model compression approach via knowledge distillation for predicting energy consumption in additive manufacturing. International Journal of Production Research 61(13), pp. 4525-4547. (10.1080/00207543.2022.2160501)
• Guo, X., Yang, M., Liu, Y., Zhao, W., Shi, J. and Zhang, K. 2023. Design for product resilience: concept, characteristics and generalization. Journal of Engineering Design 34(5-6), pp. 368-382. (10.1080/09544828.2023.2225844)
• Wang, S., Syntetos, A. A., Liu, Y., Di Cairano-Gilfedder, C. and Naim, M. M. 2023. Improving automotive garage operations by categorical forecasts using a large number of variables. European Journal of Operational Research 306(2), pp. 893-908. (10.1016/j.ejor.2022.06.062)
• Jiang, Y., Guo, X., Liu, Y. and Zhao, W. 2023. Knowledge-based design: a function-knowledge reasoning model for product conceptual design. In: Kyratsis, P., Manavis, A. and Davim, J. P. eds. Computational Design and Digital Manufacturing. Management and Industrial Engineering, pp. 119-139., (10.1007/978-3-031-21167-6_6)
• Huang, Z., Guo, X., Liu, Y., Zhao, W. and Zhang, K. 2023. A smart conflict resolution model using multi-layer knowledge graph for conceptual design. Advanced Engineering Informatics 55, article number: 101887. (10.1016/j.aei.2023.101887)
• Chen, C., Wang, T., Zhen, Y., Liu, Y., Xie, H., Deng, J. and Cheng, L. 2023. Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0. Advanced Engineering Informatics 55, article number: 101900. (10.1016/j.aei.2023.101900)
• Tang, J., Liu, Y., Lin, K. and Li, L. 2023. Process bottlenecks identification and its root cause analysis using fusion-based clustering and knowledge graph. Advanced Engineering Informatics 55, article number: 101862. (10.1016/j.aei.2022.101862)
• Yang, B., Liu, Y. and Chen, W. 2023. A twin data-driven approach for user-experience based design innovation. International Journal of Information Management 68, article number: 102595. (10.1016/j.ijinfomgt.2022.102595)

2022

• Tong, Y., Liang, Y., Spasic, I., Hicks, Y., Hu, H. and Liu, Y. 2022. A data-driven approach for integrating hedonic quality and pragmatic quality in user experience modelling. Journal of Computing and Information Science in Engineering 22(6), article number: 61002. (10.1115/1.4054155)
• Hejazi, S., Packianather, M. and Liu, Y. 2022. Novel preprocessing of multimodal condition monitoring data for classifying induction motor faults using deep learning methods. Presented at: IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), Gunupur, Odisha, India, 15-17 December 2022Proceedings of 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security. IEEE pp. 1-6., (10.1109/iSSSC56467.2022.10051321)
• Lian, X., Hou, L., Zhang, W., Yan, H. and Liu, Y. 2022. Identifying risky components of display products for redesign considering user attention and failure causality. Soft Computing (10.1007/s00500-022-07660-1)
• Tang, M., Zhang, Z., Liu, Y. and Zhang, H. 2022. Regional-based strategies for municipality carbon mitigation: a case study of Chongqing in China. Energy Reports 8, pp. 4672-4694. (10.1016/j.egyr.2022.03.135)
• Chen, C., Wang, T., Liu, Y., Cheng, L. and Qin, J. 2022. Spatial-attention-based convolutional transformer for bearing remaining useful life prediction. Measurement Science and Technology 33(11), article number: 114001. (10.1088/1361-6501/ac7c5b)
• Chen, W., Yang, B. and Liu, Y. 2022. An integrated QFD and FMEA approach to identify risky components of products. Advanced Engineering Informatics 54, article number: 101808. (10.1016/j.aei.2022.101808)
• Tan, X., Zhong, J., Jin, Y., Liang, Y., Zheng, Y. and Liu, Y. 2022. Design and research of intelligent QA system for flight crew operating manual. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2. The American Society of Mechanical Engineers, (10.1115/DETC2022-90768)
• Yang, J., Liu, T., Liu, Y. and Morgan, P. 2022. Review of human-machine interaction towards industry 5.0: human-centric smart manufacturing. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2. The American Society of Mechanical Engineers, (10.1115/DETC2022-89711)
• Li, Z., Tang, Q., Liu, Y. and Li, X. 2022. A material removal state prediction method based on multi-scale attention mechanism. Presented at: 42nd Computers and Information in Engineering Conference (CIE), St. Louis, USA, 14-17 August, 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2. The American Society of Mechanical Engineers, (10.1115/DETC2022-90919)
• Chen, Y., Yan, W., Liu, Y., Zhang, H., Jiang, Z. and Zhang, X. 2022. A data-driven approach design for carbon emission prediction of machining. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2., (10.1115/DETC2022-90465)
• Zheng, Y., Bao, X., Zhao, F., Chen, C., Liu, Y., Sun, B. and Wang, H. 2022. Prediction of remaining useful life using fused deep learning models - a case study of turbofan engines. Journal of Computing and Information Science in Engineering 22(5), article number: 54501. (10.1115/1.4054090)
• Tong, Y., Liang, Y., Liu, Y., Spasic, I. and Hicks, Y. 2022. Understanding context of use from online customer reviews using BERT. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, Mexico, 20-24 August 20222022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, (10.1109/CASE49997.2022.9926649)
• Cheng, M., Wang, J., Zhou, Y., Xu, C., Liu, Y. and Zhang, J. 2022. A convolutional neural network with equal-resolution enhancement and gradual attention of features for tiny target detection. Presented at: IEEE 18th International Conference on Automation Science and Engineering (CASE 2022), Mexico City, Mexico, 20-24 August 20222022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, (10.1109/CASE49997.2022.9926425)
• You, Y., Ji, Z., Yang, X. and Liu, Y. 2022. From human-human collaboration to human-robot collaboration: automated generation of assembly task knowledge model. Presented at: 27th IEEE International Conference on Automation and Computing (ICAC2022), Bristol, UK, 1-3 Sept 20222022 27th International Conference on Automation and Computing (ICAC). IEEE, (10.1109/ICAC55051.2022.9911131)
• Hu, H., Liu, Y., Guo, X. and Fu, C. 2022. A conceptual design specification based on user aesthetic information analysis and product functional reasoning. Machines 10(10), article number: 868. (10.3390/machines10100868)
• Yan, W., Lu, C., Liu, Y., Zhang, X. and Zhang, H. 2022. An energy data-driven approach for operating status recognition of machine tools based on deep learning. Sensors 22(17), article number: 6628. (10.3390/s22176628)
• Hu, H., Liu, Y., Lu, W. F. and Guo, X. 2022. A knowledge-based approach towards representation and archiving of aesthetic information for product conceptual design. Journal of Computing and Information Science in Engineering 22(4), article number: 41011. (10.1115/1.4053674)
• Hu, H., Liu, Y., Lu, W. F. and Guo, X. 2022. A quantitative aesthetic measurement method for product appearance design. Advanced Engineering Informatics 53, article number: 101644. (10.1016/j.aei.2022.101644)
• Chen, C., Wu, D. and Liu, Y. 2022. Recent advances of AI for engineering service and maintenance. Autonomous Intelligent Systems 2(1), article number: 19. (10.1007/s43684-022-00038-y)
• Fu, H. and Liu, Y. 2022. A deep learning-based approach for electrical equipment remaining useful life prediction. Autonomous Intelligent Systems 2, article number: 16. (10.1007/s43684-022-00034-2)
• Ma, S., Tang, Q., Liu, Y. and Feng, Q. 2022. Prediction of mechanical properties of 3d printed lattice structures through machine learning. Journal of Computing and Information Science in Engineering 22(3), article number: 31008. (10.1115/1.4053077)
• Li, Y., Hu, F., Ryan, M., Wang, R. and Liu, Y. 2022. Knowledge distillation for energy consumption prediction in additive manufacturing. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022IFAC-PapersOnLine, Vol. 55(2). Elsevier pp. 390-395., (10.1016/j.ifacol.2022.04.225)
• Lambay, A., Liu, Y., Ji, Z. and Morgan, P. 2022. Effects of demographic factors for fatigue detection in manufacturing. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022IFAC-PapersOnLine, Vol. 55(2). Elsevier pp. 528-533., (10.1016/j.ifacol.2022.04.248)
• Wu, B., Zhao, W., Hu, H., Liu, Y. and Lv, J. 2022. Conceptual design of intelligent manufacturing equipment based on a multi-source heterogeneous requirement mapping method. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022IFAC-PapersOnLine, Vol. 55(2). Elsevier pp. 475-480., (10.1016/j.ifacol.2022.04.239)
• Zhao, Y., Li, L., Liu, Y., Fan, Y. and Lin, K. 2022. Communication-efficient federated learning for digital twin systems of industrial internet of things. Presented at: 14th IFAC Workshop on Intelligent Manufacturing Systems (IMS 2022), Tel-Aviv, Israel, 28-30 March 2022IFAC-PapersOnLine, Vol. 55(2). Elsevier pp. 433-438., (10.1016/j.ifacol.2022.04.232)
• Qin, J. et al. 2022. Research and application of machine learning for additive manufacturing. Additive Manufacturing 52, article number: 102691. (10.1016/j.addma.2022.102691)
• Wang, S., Hui, J., Zhu, B. and Liu, Y. 2022. Adaptive genetic algorithm based on fuzzy reasoning for the multilevel capacitated lot-sizing problem with energy consumption in synchronizer production. Sustainability 14(9), article number: 5072. (10.3390/su14095072)
• Guo, X., Jiang, Y. and Liu, Y. 2022. Conceptual design for innovation: a knowledge-based approach. In: Kyratsis, P., Efkolidis, N. and Davim, J. P. eds. Advances in Product Design Engineering. Springer, pp. 179-198., (10.1007/978-3-030-98124-2_8)
• Hu, H., Liu, Y. and Lu, W. F. 2022. Establishing product appearance specifications with the identification of user aesthetic needs in product conceptual design. In: Kyratsis, P., Efkolidis, N. and Davim, J. P. eds. Advances in Product Design Engineering. Springer, pp. 199-217., (10.1007/978-3-030-98124-2_9)
• Yan, Z. et al. 2022. A new method of predicting the energy consumption of additive manufacturing considering the component working state. Sustainability 14(7), article number: 3757. (10.3390/su14073757)
• You, Y., Chen, C., Hu, F., Liu, Y. and Ji, Z. 2022. Advances of digital twins for predictive maintenance. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200: pp. 1471-1480., (10.1016/j.procs.2022.01.348)
• Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)
• Yu, Z., Zhao, W., Guo, X., Hu, H., Fu, C. and Liu, Y. 2022. Multi-indicators decision for product design solutions: a TOPSIS-MOGA integrated model. Processes 10(2), article number: 303. (10.3390/pr10020303)
• Zhao, K., Liu, Y., Ming, W., Zhou, Y. and Wu, J. 2022. Digital twin-driven estimation of state of charge for Li-ion battery. Presented at: IEEE International Energy Conference (ENERGYCON 2022), Riga, Latvia, 09-12 May 2022Proceedings of 2022 IEEE 7th International Energy Conference (ENERGYCON). IEEE, (10.1109/ENERGYCON53164.2022.9830324)

2021

• Chen, C., Liu, Y., Sun, X., Cairano-Gilfedder, C. D. and Titmus, S. 2021. An integrated deep learning-based approach for automobile maintenance prediction with GIS data. Reliability Engineering and System Safety 216, article number: 107919. (10.1016/j.ress.2021.107919)
• Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2021. Multi-sourced modelling for strip breakage using knowledge graph embeddings. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 202154th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0, Vol. 104. Elsevier pp. 1884-1889., (10.1016/j.procir.2021.11.318)
• Hu, F., Qin, J., Li, Y., Liu, Y. and Sun, X. 2021. Deep fusion for energy consumption prediction in additive manufacturing. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 202154th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0, Vol. 104. Procedia CIRP Elsevier pp. 1878-1883., (10.1016/j.procir.2021.11.317)
• Tong, Y., Liang, Y., Liu, Y., Hicks, Y. and Spasic, I. 2021. Integrating hedonic quality for user experience modelling. Presented at: ASME IDETC/CIE 2021, Virtual, 17-20 August 202141st Computers and Information in Engineering Conference (CIE) Proceedings, Vol. 2. ASME, (10.1115/DETC2021-69781)
• Ma, S., Tang, Q., Liu, Y. and Feng, Q. 2021. Predicting mechanical properties of 3D printed lattice structures. Presented at: ASME IDETC/CIE 2021, Virtual, 17-20 August 2021ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME pp. V002T02A053., (10.1115/DETC2021-70249)
• Guo, X., Zhao, W., Hu, H., Li, L., Liu, Y., Wang, J. and Zhang, K. 2021. A smart knowledge deployment method for the conceptual design of low-carbon products. Journal of Cleaner Production 321, article number: 128994. (10.1016/j.jclepro.2021.128994)
• Yang, J., Chen, Z., Liu, Y. and Ryan, M. 2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 20212021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1461-1466., (10.1109/CASE49439.2021.9551660)
• Lambay, A., Liu, Y., Morgan, P. and Ji, Z. 2021. A data-driven fatigue prediction using recurrent neural networks. Presented at: 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA2021), Ankara, Turkey, 11-13 June 20212021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE pp. 1-6., (10.1109/HORA52670.2021.9461377)
• Zhang, H., Zhang, M., Yan, W., Liu, Y., Jiang, Z. and Li, S. 2021. Analysis the drivers of environmental responsibility of Chinese auto manufacturing industry based on triple bottom line. Processes 9(5), article number: 751. (10.3390/pr9050751)
• Horváth, I., Zeng, Y., Liu, Y. and Summers, J. 2021. Smart designing of smart systems. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 35(2), pp. 129-131. (10.1017/S0890060421000093)
• Kumar, M., Rich, N., Kumar, M. and Liu, Y. 2021. Creating highly reliable health care organisations through reverse exchanges. Supply Chain Management 26(3), pp. 371-384. (10.1108/SCM-03-2020-0123)
• Guo, X., Liu, Y., Wu, Z., Wang, J. and Chen, L. 2021. Supporting resilient conceptual design using functional decomposition and conflict resolution. Advanced Engineering Informatics 48, article number: 101262. (10.1016/j.aei.2021.101262)
• Qin, J., Li, Z., Wang, R., Li, L., Yu, Z., He, X. and Liu, Y. 2021. Industrial Internet of Learning (IIoL): IIoT based Pervasive Knowledge Network for LPWAN – concept, framework and case studies. CCF Transactions on Pervasive Computing and Interaction 3, pp. 25-39. (10.1007/s42486-020-00050-2)
• Wu, S., Xing, W., Liu, Y. and Shao, Y. 2021. Research on dynamic characteristics and identification method of local defect on the roll surface. Engineering Failure Analysis 121, article number: 105063. (10.1016/j.engfailanal.2020.105063)
• Li, Y., Hu, F., Qin, J., Ryan, M., Wang, R. and Liu, Y. 2021. A hybrid machine learning approach for energy consumption prediction in additive manufacturing. Presented at: 25th International Conference on Pattern Recognition (ICPR 2020), Virtual, 15 January 2021Pattern Recognition. ICPR International Workshops and Challenges Virtual Event, January 10–15, 2021, Proceedings, Part IV. Lecture Notes in Computer Science/Image Processing, Computer Vision, Pattern Recognition, and Graphics Vol. 12664. Springer pp. 622-636., (10.1007/978-3-030-68799-1_45)
• Xiao, Y., Yan, W., Wang, R., Jiang, Z. and Liu, Y. 2021. Research on blank optimization design based on low-carbon and low-cost blank process route optimization model. Sustainability 13(4), article number: 1929. (10.3390/su13041929)
• Chen, Z., Liu, Y., Valera-Medina, A., Robinson, F. and Packianather, M. 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59(21), pp. 6347-6360. (10.1080/00207543.2020.1812753)
• Tang, J., Li, L., Liu, Y. and Lin, K. 2021. Automatic identification of bottleneck tasks for business process management using fusion-based text clustering. Presented at: 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2021), Budapest, Hungary, 7-9 June 2021IFAC-PapersOnLine. Elsevier, 54(1) pp. 1200-1205., (10.1016/j.ifacol.2021.08.142)

2020

• Ma, S. et al. 2020. Manufacturability, mechanical properties, mass-transport properties and biocompatibility of Triply Periodic Minimal Surface (TPMS) scaffolds fabricated by selective laser melting. Materials and Design 195, article number: 109034. (10.1016/j.matdes.2020.109034)
• Chen, C., Liu, Y., Sun, X., Di Cairano-Gilfedder, C. and Titmus, S. 2020. Automobile maintenance modelling using gcForest. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 600-605., (10.1109/CASE48305.2020.9216745)
• Dai, C., Tang, M., Liu, Y., He, J., Yang, Z. and Yang, Y. 2020. Designing smart energy network ecosystem for integrated energy services in urban areas. Presented at: IEEE 16th International Conference on Automation Science and Engineering (CASE 2020), Virtual, 20-21 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 305-310., (10.1109/CASE48305.2020.9216903)
• Hu, F., Liu, Y., Qin, J., Sun, X. and Witherell, P. 2020. Feature-level data fusion for energy consumption analytics in additive manufacturing. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 612-617., (10.1109/CASE48305.2020.9216947)
• Zhang, Z., Liu, Y., Hu, Q., Zhang, Z. and Liu, Y. 2020. Competitive voting-based multi-class prediction for ore selection. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 514-519., (10.1109/CASE48305.2020.9217017)
• Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2020. A multi-source feature-level fusion approach for predicting strip breakage in cold rolling. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 482-487., (10.1109/CASE48305.2020.9216854)
• Oliff, H., Liu, Y., Kumar, M. and Williams, M. 2020. The ethical use of human data for smart manufacturing: an analysis and discussion. Procedia CIRP 93, pp. 1364-1369. (10.1016/j.procir.2020.06.001)
• Ma, S., Tang, Q., Feng, Q., Song, J., Liu, Y. and Setchi, R. 2020. An investigation of the porosity effects on the mechanical properties and the failure modes of Ti–6Al–4V Schwarz primitive structures. Presented at: SDM-2020: 7th International Conference on Sustainable Design and Manufacturing, 9-11 September 2020 Presented at Scholz, S. G., Howlett, R. J. and Setchi, R. eds.Sustainable Design and Manufacturing 2020: Proceedings of the 7th International Conference on Sustainable Design and Manufacturing (KES-SDM 2020), Vol. 200. Smart Innovation, Systems and Technologies Springer pp. 173-181., (10.1007/978-981-15-8131-1_16)
• Oliff, H., Liu, Y., Kumar, M. and Williams, M. 2020. Improving human-robot-interaction utilizing learning and intelligence: a human factors-based approach. IEEE Transactions on Automation Science and Engineering 17(3), pp. 1597-1610. (10.1109/TASE.2020.2967093)
• Oliff, H., Liu, Y., Kumar, M., Williams, M. and Ryan, M. 2020. Reinforcement learning for facilitating human-robot-interaction in manufacturing. Journal of Manufacturing Systems 56, pp. 326-340. (10.1016/j.jmsy.2020.06.018)
• Liu, Q., Wang, K., Li, Y. and Liu, Y. 2020. Data-driven concept network for inspiring designers' idea generation. Journal of Computing and Information Science in Engineering 20(3), article number: 31004. (10.1115/1.4046207)
• Liu, Y., Soroka, A., Han, L., Jian, J. and Tang, M. 2020. Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management 51, article number: 102034. (10.1016/j.ijinfomgt.2019.11.002)
• Shao, Y., Zhu, H., Wang, R., Liu, Y. and Liu, Y. 2020. A simulation data-driven design approach for rapid product optimization. Journal of Computing and Information Science in Engineering 20(2), article number: 21008. (10.1115/1.4045527)
• Chen, C., Liu, Y., Wang, S., Di Cairano-Gilfedder, C., Sun, X., Titmus, S. and Syntetos, A. A. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44, article number: 101054. (10.1016/j.aei.2020.101054)
• Jiang, Z., Ding, Z., Liu, Y., Wang, Y., Hu, X. and Yang, Y. 2020. A data-driven based decomposition?integration method for remanufacturing cost prediction of end-of-life products. Robotics and Computer-Integrated Manufacturing 61, pp. 101838. (10.1016/j.rcim.2019.101838)
• Ding, Z., Jiang, Z., Zhang, H., Cai, W. and Liu, Y. 2020. An integrated decision-making method for selecting machine tool guideways considering remanufacturability. International Journal of Computer Integrated Manufacturing 33(7), pp. 686-700. (10.1080/0951192X.2018.1550680)

2019

• Goltsos, T. E., Ponte, B., Wang, S., Liu, Y., Naim, M. M. and Syntetos, A. A. 2019. The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research 57(23), pp. 7361-7394. (10.1080/00207543.2018.1510191)
• Song, J. et al. 2019. Effect of heat treatment on microstructure and mechanical behaviours of 18Ni-300 maraging steel manufactured by selective laser melting. Optics and Laser Technology 120, article number: 105725. (10.1016/j.optlastec.2019.105725)
• Jiang, Z., Ding, Z., Zhang, H., Cai, W. and Liu, Y. 2019. Data-driven ecological performance evaluation for remanufacturing process. Energy Conversion and Management 198, article number: 111844. (10.1016/j.enconman.2019.111844)
• Qin, J., Liu, Y., Grosvenor, R., Lacan, F. and Jiang, Z. 2019. Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation. Journal of Cleaner Production, pp. 118702. (10.1016/j.jclepro.2019.118702)
• Chen, C., Liu, Y., Kumar, M., Qin, J. and Ren, Y. 2019. Energy consumption modelling using deep learning embedded semi-supervised learning. Computers and Industrial Engineering 135, pp. 757-765. (10.1016/j.cie.2019.06.052)
• Yang, B., Liu, Y., Liang, Y. and Tang, M. 2019. Exploiting user experience from online customer reviews for product design. International Journal of Information Management 46, pp. 173-186. (10.1016/j.ijinfomgt.2018.12.006)
• Chen, C., Liu, Y., Sun, X., Cairano-Gilfedder, C. and Titmus, S. 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81, pp. -. (10.1016/j.procir.2019.03.077)
• Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2019. Characterizing strip snap in cold rolling process using advanced data analytics. Procedia CIRP 81, pp. 453-458. (10.1016/j.procir.2019.03.078)
• Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2019. Strip snap analytics in cold rolling process using machine learning. Presented at: 2019 IEEE 15th International Conference on Automation Science and Engineering, Vancouver, BC, Canada, 22-26 August 2019. pp. -.
• Wang, K., Liu, Q., Li, Y. and Liu, Y. 2019. Data and knowledge jointly driving model for design concept generation. Presented at: International Design Engineering Technical and Computers and Information in Engineering Conference, Anaheim, California, USA, 18-21 August 2019. pp. -.

2018

• Qin, J., Liu, Y. and Grosvenor, R. 2018. Multi-source data analytics for AM energy consumption prediction. Advanced Engineering Informatics 38, pp. 840-850. (10.1016/j.aei.2018.10.008)
• Tang, M., Jin, J., Liu, Y., Li, C. and Zhang, W. 2018. Integrating topic, sentiment and syntax for modeling online reviews: a topic model approach. Journal of Computing and Information Science in Engineering 19(1), article number: 11001. (10.1115/1.4041475)
• Jin, J., Liu, Y., Ji, P. and Kwong, C. K. 2018. Review on recent advances in information mining from big consumer opinion data for product design. Journal of Computing and Information Science in Engineering 19(1), article number: 10801. (10.1115/1.4041087)
• Tang, M., Liu, Y., Li, Z. and Liu, Y. 2018. Identifying service gaps from public patient opinions through text mining. Presented at: ICSEE 2018: International Conference on Intelligent Computing for Sustainable Energy and Environment and IMIOT 2018: International Conference on Intelligent Manufacturing and Internet of Things, Chongqing, China, 21-23 September 2018 Presented at Li, K. et al. eds.Intelligent Computing and Internet of Things: First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China,, Vol. 924. Communications in Computer and Information Science Singapore: Springer pp. 99-108., (10.1007/978-981-13-2384-3_10)
• Feng, Q., Tang, Q., Liu, Z., Liu, Y. and Setchi, R. M. 2018. An investigation of the mechanical properties of metallic lattice structures fabricated using selective laser melting. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232(10), pp. 1719-1730. (10.1177/0954405416668924)
• Chen, C., Liu, Y., Kumar, M. and Qin, J. 2018. Energy consumption modelling using deep learning technique — a case study of EAF. Procedia CIRP 72, pp. 1063-1068. (10.1016/j.procir.2018.03.095)
• Ding, Z., Jiang, Z., Liu, Y., Wang, Y. and Li, C. 2018. A big data based cost prediction method for remanufacturing end-of-life products. Procedia CIRP 72, pp. 1362-1367. (10.1016/j.procir.2018.03.129)
• Wang, H., Jiang, Z., Wang, Y., Liu, Y., Li, F., Yan, W. and Zhang, H. 2018. A demands-matching multi-criteria decision-making method for reverse logistics. Procedia CIRP 72, pp. 1398-1403. (10.1016/j.procir.2018.03.135)
• Wang, S., Liu, Y., Cairano-Gilfedder, C. D., Titmus, S., Naim, M. and Syntetos, A. 2018. Reliability analysis for automobile engines: conditional inference trees. Procedia CIRP 72, pp. 1392-1397. (10.1016/j.procir.2018.03.065)
• Oliff, H., Liu, Y., Kumar, M. and Williams, M. 2018. Integrating intelligence and knowledge of human factors to facilitate collaboration in manufacturing. Presented at: IDETC/CIE 2018: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Quebec City, QC, Canada, 26-29 August 2018.
• Liang, Y., Liu, Y., Chen, C. and Jiang, Z. 2018. Extracting topic-sensitive content from textual documents - A hybrid topic model approach. Engineering Applications of Artificial Intelligence 70, pp. 81-91. (10.1016/j.engappai.2017.12.010)
• Lan, L., Liu, Y. and Lu, W. F. 2018. Learning from the past: uncovering design process models using an enriched process mining. Journal of Mechanical Design 140(4), article number: 41403. (10.1115/1.4039200)
• Han, L., Haleem, M. S., Sobeih, T., Liu, Y., Soroka, A. and Han, L. 2018. An automated cloud-based big data analytics platform for customer insights. Presented at: The Second International Symposium on Big Data and Smart Sustainable Society (Bigdata-2017), Exeter, UK, 21-23 June 2017Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017 IEEE International Conference on. IEEE pp. 287-292., (10.1109/iThings-GreenCom-CPSCom-SmartData.2017.48)
• Feng, Q., Tang, Q., Liu, Y., Setchi, R., Soe, S., Ma, S. and Bai, L. 2018. Quasi-static analysis of mechanical properties of Ti6Al4V lattice structures manufactured using selective laser melting. International Journal of Advanced Manufacturing Technology 94(5-8), pp. 2301-2313. (10.1007/s00170-017-0932-7)
• Wang, Y., Sun, A., Han, J., Liu, Y. and Zhu, X. 2018. Sentiment analysis by capsules. Presented at: The Web Conference 2018, Lyon, France, 23-27 April 2018Proceedings of the 2018 World Wide Web Conference. pp. 1165-1174., (10.1145/3178876.3186015)
• Oliff, H., Liu, Y., Kumar, M. and Williams, M. 2018. A framework of integrating knowledge of human factors to facilitate HMI and collaboration in intelligent manufacturing. Procedia CIRP 72, pp. 135-140. (10.1016/j.procir.2018.03.047)
• Chen, C., Liu, Y., Sun, X., Wang, S., Di Cairano-Gilfedder, C., Titmus, S. and Syntetos, A. 2018. Reliability analysis using deep learning. Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Quebec City, Canada, 26-29 August 2018ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. ASME pp. V01BT02A040., (10.1115/DETC2018-86172)
• Qin, F. et al. 2018. Voice of the customer oriented new product synthesis over knowledge graphs. Presented at: ASME 2018 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2018), Quebec City, QC, Canada, 26-29 August 2018ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 1A: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. American Society of Mechanical Engineers pp. V01AT02A032., (10.1115/DETC2018-85909)

2017

• Lan, L., Liu, Y. and Lu, W. F. 2017. Automatic discovery of design task structure using deep belief nets. Journal of Computing and Information Science in Engineering 17(4), article number: 41001. (10.1115/1.4036198)
• Wang, X., Zeng, Y., Arntzen, A. A., Kim, K. and Liu, Y. 2017. Organizational capability: skills related to organizational knowledge. Journal of Integrated Design and Process Science 21(1), pp. 1-3. (10.3233/jid-2017-0010)
• Kim, H. H. M., Liu, Y., Wang, C. C. and Wang, Y. 2017. Special Issue: Data-Driven Design (D3). Journal of Mechanical Design 139(11), article number: 110301. (10.1115/1.4037943)
• Qin, J., Liu, Y. and Grosvenor, R. 2017. A framework of energy consumption modelling for additive manufacturing using Internet of Things. Procedia CIRP Conference on Manufacturing System 63, pp. 307-312. (10.1016/j.procir.2017.02.036)
• Soroka, A., Liu, Y., Han, L. and Haleem, M. S. 2017. Big data driven customer insights for SMEs in redistributed manufacturing. Procedia CIRP 63, pp. 692-697. (10.1016/j.procir.2017.03.319)
• Qin, J., Liu, Y. and Grosvenor, R. 2017. Data analytics for energy consumption of digital manufacturing systems using Internet of Things method. Presented at: IEEE International Conference on Automation Science and Engineering, Xi'an, China, 20-23 August 2017.
• Oliff, H. and Liu, Y. 2017. Towards industry 4.0 utilizing data-mining techniques: a case study on quality improvement. Procedia CIRP 63, pp. 167. (10.1016/j.procir.2017.03.311)
• Chen, R., Liu, Y., Zhang, Z. and Liu, Y. 2017. An automated generation method of system architecture with component's multi-criterion evaluation. Presented at: The 21st International Conference on Engineering Design, Vancouver, Canada, 21-25 Aug 2017.

2016

• Li, L., Gao, S., Liu, Y. and Qin, X. 2016. Enhanced SPARQL-based design rationale retrieval. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30(4), pp. 406-423. (10.1017/S089006041600038X)
• Chen, Y., Zhao, M., Liu, Y. and Xie, Y. 2016. A formal functional representation methodology for conceptual design of material-flow processing devices. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30(4), pp. 353-366. (10.1017/S0890060416000342)
• McMahon, C., Liu, Y. and McAdams, D. 2016. Engineering design informatics. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30(4), pp. 335-336. (10.1017/S0890060416000329)
• Qin, J., Liu, Y. and Grosvenor, R. 2016. A categorical framework of manufacturing for industry 4.0 and beyond. Procedia CIRP 52, pp. 173-178. (10.1016/j.procir.2016.08.005)
• Dixon, A., Liu, Y. and Setchi, R. 2016. Computer-aided ethnography in engineering design. Presented at: 28th International Conference on Design Theory and Methodology, Charlotte, North Carolina, USA, 21-24 August 2016ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 7: 28th International Conference on Design Theory and Methodology Charlotte, North Carolina, USA, August 21–24, 2016, Vol. 7. ASME Proceedings New York, NY: ASME pp. V007T06A007., (10.1115/DETC2016-59832)
• Jin, J., Liu, Y., Ji, P. and Liu, H. 2016. Understanding big consumer opinion data for market-driven product design. International Journal of Production Research 54(10), pp. 3019-3041. (10.1080/00207543.2016.1154208)
• Marsh, J. and Eyers, D. 2016. Increasing production efficiency through electronic batch record systems: a case study. Presented at: SDM 2016, Chania, Crete Greece, 4 - 6 April 2016 Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016. Smart Innovation, Systems and Technologies Vol. 52. Cham: pp. 261-269., (10.1007/978-3-319-32098-4_23)
• Morris, A., Setchi, R. and Prickett, P. W. 2016. Product change management and future information architectures. Presented at: Sustainable Design and Manufacturing 2016, Chania, Crete, Greece, 5 - 8 April 2016. Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016, Vol. 1. Smart Innovation, Systems and Technologies Vol. 52. Switzerland: Springer International Publishing pp. 241-250., (10.1007/978-3-319-32098-4_21)
• Davies, A., Packianather, M., White, J. and Soman, S. 2016. Achieving sustainability in SME manufacturing operations via the use of flexible integrated technology and product symbiosis. Presented at: SDM 2016, Crete, Greece, 4-6 April 2016 Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016, Vol. 52. Smart Innovation, Systems and Technologies Cham: Springer pp. 281-293., (10.1007/978-3-319-32098-4_25)
• Dorrington, P., Lacan, F. A. and Bigot, S. 2016. How are micro enterprises adopting emergent technologies?. Presented at: 3rd International Conference on Sustainable Design and Manufacturing (SDM-2016), Chania, Greece, 4-6 April 2016 Presented at Setchi, R. et al. eds.Sustainable Design and Manufacturing 2016, Vol. 52. Smart Innovation, Systems and Technologies (SIST) Vol. 52. Cham: Springer pp. 215-226., (10.1007/978-3-319-32098-4_19)
• Arastehfar, S., Liu, Y. and Feng Lu, W. 2016. An evaluation methodology for design concept communication using digital prototypes. Journal of Mechanical Design 138(3), article number: 31103. (10.1115/1.4032396)
• Feng, Q., Tang, Q., Soe, S., Liu, Y. and Setchi, R. 2016. An Investigation into the quasi-static response of Ti6Al4V lattice structures manufactured using selective laser melting. In: Setchi, R. et al. eds. Sustainable Design and Manufacturing 2016., Vol. 52. Smart Innovation, Systems and Technologies Springer, pp. 399-409., (10.1007/978-3-319-32098-4_34)
• Setchi, R. et al. eds. 2016. Sustainable design and manufacturing 2016. Smart Innovation, Systems and Technologies. Springer. (10.1007/978-3-319-32098-4)
• Lan, L., Liu, Y. and Lu, W. F. 2016. Discovering a hierarchical design process model using text mining. Presented at: 36th Computers and Information in Engineering Conference, Charlotte, NC, 21-24 August 2016ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 1B. ASME Proceedings New York, NY: ASME, (10.1115/DETC2016-59829)

2015

• Lan, L., Liu, Y., Lu, W. F. and Alghamdi, A. 2015. Automatic discovery of design task structure using deep belief nets. Presented at: 27th International Conference on Design Theory and Methodology, Boston, MA, 2 - 5 August 2015Print Proceedings of the ASME 2015 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (DETC2015), Vol. 7. United States of America: American Society of Mechanical Engineers, (10.1115/DETC2015-47369)
• Jiang, H., Kwong, C. K., Siu, K. W. M. and Liu, Y. 2015. Rough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design. Advanced Engineering Informatics 29(3), pp. 727-738. (10.1016/j.aei.2015.07.005)
• Chan, L. W. C. et al. 2015. PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction. BMC Medical Informatics and Decision Making 15, article number: 43. (10.1186/s12911-015-0166-2)
• Jin, J., Ji, P., Liu, Y. and Johnson Lim, S. 2015. Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Engineering Applications of Artificial Intelligence 41, pp. 115-127. (10.1016/j.engappai.2015.02.006)
• Setchi, R., Liu, Y. and Li, W. 2015. Editorial for the special issue of decision support for sustainable design and manufacturing. Journal of Industrial and Production Engineering 32(1), pp. 1-2. (10.1080/21681015.2014.1000404)
• Jiang, H., Kwong, C. K., Liu, Y. and Ip, W. H. 2015. A methodology of integrating affective design with defining engineering specifications for product design. International Journal of Production Research 53(8), pp. 2472-2488. (10.1080/00207543.2014.975372)
• Lan, L., Wu, X. and Liu, Y. 2015. Designing a fast adaptive clustering approach for traffic wave simulation. Presented at: 35th Computers and Information in Engineering Conference, Boston, MA, 2 - 5 August 2015ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 1B. pp. V01BT02A004., (10.1115/DETC2015-47873)
• Lan, L., Liu, Y. and Lu, W. F. 2015. Discovering hidden tasks and process structure through email logs for DSM. Journal of Modern Project Management 3, pp. 24-31.
• Lim, S. C. J., Liu, Y. and Chen, Y. 2015. Ontology in design engineering: status and challenges. Presented at: International Conference on Engineering Design 2015 (ICED 2015), Milan, Italy, 27-30 July 2015 Presented at Weber, C. et al. eds.DS 80-2 Proceedings of the 20th International Conference on Engineering Design (ICED 15), Vol. 2. ICED The Design Society pp. 267-276.

2014

• Li, L., Qin, F., Gao, S. and Liu, Y. 2014. An approach for design rationale retrieval using ontology-aided indexing. Journal of Engineering Design 25(7-9), pp. 259-279. (10.1080/09544828.2014.969690)
• Arastehfar, S., Liu, Y. and Lu, W. F. 2014. A framework for concept validation in product design using digital prototyping. Journal of Industrial and Production Engineering 31(5), pp. 286-302. (10.1080/21681015.2014.951407)
• Jin, J., Ji, P. and Liu, Y. 2014. Prioritising engineering characteristics based on customer online reviews for quality function deployment. Journal of Engineering Design 25(7-9), pp. 303-324. (10.1080/09544828.2014.984665)
• Lim, S. C. J., Wang, S. and Liu, Y. 2014. Discovering contextual tags from product review using semantic relatedness. Journal of Industrial and Production Engineering 31(2), pp. 108-118. (10.1080/21681015.2014.895966)

2013

• Liu, Y., Lim, S. C. J. and Lee, W. B. 2013. Product family design through ontology-based faceted component analysis, selection, and optimization. Journal of Mechanical Design 135(8), article number: 81007. (10.1115/1.4023632)
• Montecchi, T., Russo, D. and Liu, Y. 2013. Searching in cooperative patent classification: comparison between keyword and concept-based search. Advanced Engineering Informatics 27(3), pp. 335-345. (10.1016/j.aei.2013.02.002)
• Liu, Y., Jin, J., Ji, P., Harding, J. A. and Fung, R. Y. 2013. Identifying helpful online reviews: A product designer's perspective. Computer-Aided Design 45(2), pp. 180-194. (10.1016/j.cad.2012.07.008)
• Liang, Y. and Liu, Y. 2013. Rationale-based patent analysis for corporate product design. Presented at: ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Portland, OR, 4 - 7 August 2013ASME Proceedings 33rd Computers and Information in Engineering Conference, Vol. 2B. ASME pp. V02BT02A013., (10.1115/DETC2013-12792)

2012

• Liang, Y., Liu, Y., Kwong, C. K. and Lee, W. B. 2012. Learning the "Whys": Discovering design rationale using text mining - An algorithm perspective. Computer-Aided Design 44(10), pp. 916-930. (10.1016/j.cad.2011.08.002)
• Jung, J. J., Chang, Y., Liu, Y. and Wu, C. 2012. Advances in intelligent grid and cloud computing. Information Systems Frontiers 14(4), pp. 823-825. (10.1007/s10796-012-9349-x)
• Liu, Y., Setchi, R. M., Tseng, V. S. and Wang, F. C. 2012. Editorial for the special issue of service computing and service oriented enterprise systems in design, manufacturing and supply chain. Journal of Intelligent Manufacturing 23(4), pp. 1327-1329. (10.1007/s10845-012-0638-5)
• Liu, Y., Zhang, H., Li, C. and Jiao, R. J. 2012. Workflow simulation for operational decision support using event graph through process mining. Decision Support Systems 52(3), pp. 685-697. (10.1016/j.dss.2011.11.003)
• Lim, S. C. J., Liu, Y. and Loh, H. T. 2012. An exploratory study of ontology-based platform analysis under user preference uncertainty. Presented at: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, IL, 12–15 August 2012ASME Proceedings 32nd Computers and Information in Engineering Conference, Vol. 2. ASME pp. 519-528., (10.1115/DETC2012-70756)
• Arastehfar, S., Liu, Y. and Lu, W. F. 2012. A new discrete event system model for supervising and controlling robotic arm path tacking tasks based on adaptive masking. Presented at: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, IL, 12–15 August 2012ASME Proceedings 36th Mechanisms and Robotics Conference, Vol. 4. ASME pp. 1217-1226., (10.1115/DETC2012-70588)
• Russo, D., Montecchi, T. and Liu, Y. 2012. Functional-based search for patent technology transfer. Presented at: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Chicago, IL, 12–15 August 2012ASME Proceedings 32nd Computers and Information in Engineering Conference, Vol. 2. ASME pp. 529-539., (10.1115/DETC2012-70833)
• Russo, D., Montecchi, T. and Liu, Y. 2012. Knowledge based approach for identifying TRIZ contradictions. Presented at: 12th Design Engineering Workshop (DEWS), Seoul, Korea, 25 - 27 June 2012Proceedings of 2012 Design Engineering Workshop (DEWS 2012). DEWS pp. 134-140.

2011

• Chan, L. W. C., Liu, Y., Shyu, C. R. and Benzie, I. F. F. 2011. A SNOMED supported ontological vector model for subclinical disorder detection using EHR similarity. Engineering Applications of Artificial Intelligence 24(8), pp. 1398-1409. (10.1016/j.engappai.2011.05.013)
• Sun, A., Liu, Y. and Lim, E. 2011. Web classification of conceptual entities using co-training. Expert Systems with Applications 38(12), pp. 14367-14375. (10.1016/j.eswa.2011.03.010)
• Lim, S. C. J., Liu, Y. and Lee, W. B. 2011. A methodology for building a semantically annotated multi-faceted ontology for product family modelling. Advanced Engineering Informatics 25(2), pp. 147-161. (10.1016/j.aei.2010.07.005)
• Liu, Y., McMahon, C., Ramani, K. and Schaefer, D. 2011. Editorial for the special issue of information mining and retrieval in design. Advanced Engineering Informatics 25(2), pp. 117-118. (10.1016/j.aei.2011.03.003)
• Zhan, J., Liu, Y. and Loh, H. T. 2011. Multidocument summarization of engineering papers based on macro- and microstructure. Journal of Computing and Information Science in Engineering 11(1), article number: 11008. (10.1115/1.3563048)
• Jin, J., Liu, Y., Ji, P. and Fung, R. 2011. Design preference centered review recommendation: A similarity learning approach. Presented at: ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Washington, DC, 28–31 August 2011ASME Proceedings 31st Computers and Information in Engineering Conference, Vol. 2. ASME pp. 1143-1152., (10.1115/DETC2011-48181)
• Johnson Lim, S. C., Liu, Y. and Lee, W. B. 2011. A platform selection approach based on product family ontology modeling. Presented at: ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Washington, DC, 28–31 August 2011ASME Proceedings 37th Design Automation Conference, Vol. 5. Washington, DC pp. 1067-1076., (10.1115/DETC2011-48194)

2010

• Johnson Lim, S. C., Liu, Y. and Lee, W. B. 2010. Multi-facet product information search and retrieval using semantically annotated product family ontology. Information Processing & Management 46(4), pp. 479-493. (10.1016/j.ipm.2009.09.001)
• Liu, Y., Liang, Y., Kwong, C. K. and Lee, W. B. 2010. A new design rationale representation model for rationale mining. Journal of Computing and Information Science in Engineering 10(3), article number: 31009. (10.1115/1.3470018)
• Lim, S. C. J., Loh, H. T. and Liu, Y. 2010. User interface design for interactive product family analysis and variants derivation. Presented at: 36th Design Automation Conference, Montreal, Quebec, Canada, 15–18 August 2010Proceedings of the ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 1. The American Society of Mechanical Engineers pp. 869-878., (10.1115/DETC2010-28390)
• Liang, Y., Lu, W. F., Liu, Y. and Johnson Lim, S. C. 2010. Interactive interface design for design rationale search and retrieval. Presented at: ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Montreal, Quebec, Canada, 15 - 18 August 2010ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Vol. 5. ASME pp. 73-83., (10.1115/DETC2010-28392)
• Liu, Y., Liang, Y. and Lim, S. C. J. 2010. Designing graphical interfaces for design rationale search & retrieval. Presented at: CHI 2010, Atlanta, GA, 14 - 15 April 2010Extended Abstracts on Human Factors in Computing Systems. pp. 4087-4092., (10.1145/1753846.1754107)

2009

• Sun, A., Lim, E. and Liu, Y. 2009. On strategies for imbalanced text classification using SVM: A comparative study. Decision Support Systems 48(1), pp. 191-201. (10.1016/j.dss.2009.07.011)
• Liang, Y., Fang, B., Qian, J., Chen, L., Li, C. and Liu, Y. 2009. False positive reduction in urinary particle recognition. Expert Systems with Applications 36(9), pp. 11429-11438. (10.1016/j.eswa.2009.03.049)
• Liu, Y. and Harding, J. 2009. Editorial for the special issue of knowledge discovery and management in engineering design and manufacturing. Journal of Intelligent Manufacturing 20(5), pp. 499-500. (10.1007/s10845-008-0209-y)
• Liu, Y., Chan, L. W., Shyu, C. and Liu, Y. 2009. Editorial for the special issue of knowledge discovery and management in biomedical information systems. Information Systems Frontiers 11(4), pp. 345-347. (10.1007/s10796-009-9153-4)
• Wong, A. K. S., Chan, L. W. C. and Liu, Y. 2009. Automating object-oriented integration and visualization of multidisciplinary biomedical data in radiology workflow: Compartmental PACS model. Information Systems Frontiers 11(4), pp. 369-379. (10.1007/s10796-009-9150-7)
• Zhan, J., Loh, H. T. and Liu, Y. 2009. Gather customer concerns from online product reviews - A text summarization approach. Expert Systems with Applications 36(2), pp. 2107-2115. (10.1016/j.eswa.2007.12.039)
• Zhan, J., Loh, H. T. and Liu, Y. 2009. On macro- and micro-level information in multiple documents and its influence on summarization. International Journal of Information Management 29(1), pp. 57-66. (10.1016/j.ijinfomgt.2008.04.011)
• Liu, Y., Loh, H. T. and Sun, A. 2009. Imbalanced text classification: A term weighting approach. Expert Systems with Applications 36(1), pp. 690-701. (10.1016/j.eswa.2007.10.042)
• Wu, Z., Jiao, J., Yang, M., Liu, Y. and Wang, Z. 2009. An enhanced adaptive CUSUM control chart. IIE Transactions 41(7), pp. 642-653. (10.1080/07408170802712582)
• Goh, Y. M., Giess, M., McMahon, C. and Liu, Y. 2009. From faceted classification to knowledge discovery of semi-structured text records. In: Abraham, A. et al. eds. Foundations of Computational Intelligence., Vol. 6. Studies in Computational Intelligence Vol. 206. Berlin: Springer, pp. 151-169., (10.1007/978-3-642-01091-0_7)
• Liu, Y. 2009. On document representation and term weights in text classification. In: Song, M. and Wu, Y. B. eds. Handbook of Research on Text and Web Mining Technologies. Hershey, PA, USA: Information Science Reference, pp. 1-22., (10.4018/978-1-59904-990-8.ch001)
• Lim, S. C. J., Liu, Y. and Lee, W. B. 2009. Product analysis and variants derivation based on a semantically annotated product family ontology. Presented at: ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, San Diego, CA, 30 August - 2 September 2009ASME Proceedings 29th Computers and Information in Engineering Conference, Vol. 2. ASME: pp. 817-826., (10.1115/DETC2009-87160)

2008

• Liu, Y., Loh, H. T., Toumi, K. Y. and Tor, S. B. 2008. A hierarchical text classification system for manufacturing knowledge management and retrieval. International Journal of Knowledge Management Studies 2(4), pp. 406-425. (10.1504/IJKMS.2008.019749)
• Liu, Y. et al. eds. 2008. Advances of computational intelligence in industrial systems. Studies in Computational Intelligence Vol. 116. Berlin Heidelberg: Springer.
• Wu, Z., Jiao, J. and Liu, Y. 2008. A binomial CUSUM chart for detecting large shifts in fraction nonconforming. Journal of Applied Statistics 35(11), pp. 1267-1276. (10.1080/02664760802320533)
• Chan, L. W., Chan, P. S., Zheng, Y., Wong, A. K., Liu, Y. and Benzie, I. F. F. 2008. DICOM-based multidisciplinary platform for clinical decision support: Needs and direction. In: Liu, Y. et al. eds. Advances of Computational Intelligence in Industrial Systems. Studies in Computational Intelligence Vol. 116. Berlin: Springer, pp. 191-212., (10.1007/978-3-540-78297-1_9)
• Zhan, J., Loh, H. T. and Liu, Y. 2008. Summarizing online customer reviews automatically based on topical structure. Presented at: Web Information Systems and Technologies 3rd International Conference (WEBIST 2007), Barcelona, Spain, 3-6 March 2007 Presented at Filipe, J. and Cordeiro, J. eds.Web Information Systems and Technologies: Third International Conference, WEBIST 2007, Barcelona, Spain, March 3-6, 2007, Revised Selected Papers. Lecture Notes in Business Information Processing Vol. 8. Berlin: Springer pp. 245-256., (10.1007/978-3-540-68262-2_18)
• Liu, Y., Loh, H. T. and Lu, W. F. 2008. Deriving taxonomy from documents at sentence level. In: Prado, H. A. d. and Ferneda, E. eds. Emerging Technologies of Text Mining: Techniques and Applications. Hershey, PA, USA: Information Science Reference, pp. 99-119., (10.4018/978-1-59904-373-9.ch005)

2007

• Liu, Y., Loh, H. T., Kamal, Y. and Tor, S. B. 2007. Handling of imbalanced data in text classification: category-based term weights. In: Kao, A. and Poteet, S. R. eds. Natural Language Processing and Text Mining. London: Springer, pp. 171-192., (10.1007/978-1-84628-754-1_10)
• Zhan, J., Loh, H. T., Liu, Y. and Sun, A. 2007. Automatic text summarization in engineering information management. Presented at: 10th International Conference on Asian Digital Libraries (ICADL 2007), Hanoi, Vietnam, 10-13 December 2007Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers: 10th International Conference on Asian Digital Libraries, ICADL 2007, Hanoi, Vietnam, December 10-13, 2007. Proceedings. Lecture Notes in Computer Science Vol. 4822. Berlin Heidelberg: Springer pp. 347-350., (10.1007/978-3-540-77094-7_44)
• Liu, Y. and Loh, H. T. 2007. A simple probability based term weighting scheme for automated text classification. Presented at: 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2007), Kyoto, Japan, 26-29 June 2007 Presented at Okuno, H. G. and Ali, M. eds.New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2007, Kyoto, Japan, June 26-29, 2007. Proceedings. Lecture Notes in Computer Science Vol. 4570. Berlin Heidelberg: Springer pp. 33-43., (10.1007/978-3-540-73325-6_4)
• Liu, Y. and Loh, H. T. 2007. Corpus building for corporate knowledge discovery and management: A case study of manufacturing. In: Knowledge-Based Intelligent Information and Engineering Systems., Vol. 4692. Springer, pp. 542-550., (10.1007/978-3-540-74819-9_67)

2006

• Liu, Y., Lu, W. F. and Loh, H. T. 2006. A framework of information and knowledge management for product design and development - A text mini. Presented at: 12th IFAC Symposium on Information Control Problems in Manufacturing, 2006, Saint Etienne, France, 17-19 May 2006 Presented at Morel, G., Dolgui, A. and Pereira, C. eds.12th IFAC Symposium on Information Control Problems in Manufacturing, 2006. Information Control Problems in Manufacturing Vol. 12. International Federation of Automatic Control pp. 667-672., (10.3182/20060517-3-FR-2903.00339)
• Yap, I., Loh, H. T., Shen, L. and Liu, Y. 2006. Topic detection using MFSs. Presented at: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2006), Annecy, France, 27-30 June 2006 Presented at Ali, M. and Dapoigny, R. eds.Advances in Applied Artificial Intelligence: 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2006, Annecy, France, June 27-30, 2006. Proceedings. Lecture Notes in Computer Science Vol. 4031. Berlin Heidelberg: Springer pp. 342-352., (10.1007/11779568_38)

2005

• Liu, Y., Loh, H. T. and Tor, S. B. 2005. Comparison of extreme learning machine with support vector machine for text classification. Presented at: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2005), Bari, Italy, 22-24 June 2005Innovations in Applied Artificial Intelligence: 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005. Proceedings. Lecture Notes in Computer Science Vol. 3533. Berlin: Springer pp. 390-399., (10.1007/11504894_55)