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

Senior Lecturer - Teaching and Research

: LiuY81@caerdydd.ac.uk
: +44 29208 74696
: Adeiladau'r Frenhines -Adeilad y De, Ystafell S1.04, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA

: Ar gael fel goruchwyliwr ôl-raddedig

Determined to experience different research cultures and pursue his career, Dr. Liu joined Cardiff University as a Senior Lecturer with the Institute of Mechanical and Manufacturing Engineering at the School of Engineering in July 2013. He obtained his Bachelor and Master both in Mechanical Engineering from Chongqing University, China in 1998 and 2001, and then M.Sc. and Ph.D. from the Innovation in Manufacturing Systems and Technology (IMST) program under the Singapore MIT Alliance (SMA) at Nanyang Technological University and National University of Singapore in 2002 and 2006 respectively. In Dec 2006, he went to teach with the Hong Kong Polytechnic University, first as a Lecturer and then an Assistant Professor. From Aug 2010, Dr. Liu joined Mechanical Engineering with the National University of Singapore as an Assistant Professor until his tenure ended in Jun 2013. Dr. Liu’s research interests focus primarily on design informatics, manufacturing informatics, intelligent manufacturing, design methodology and process, product design, ICT in design and manufacturing, intelligent data analytics, information processing and management in conceptual design, engineering design and manufacturing using techniques such as data/text mining, machine learning, information retrieval, computational intelligence, AI and so on for knowledge discovery and management purpose. In Aug 2009, teamed up with academics from University of Bath UK, Purdue University and Georgia Institute of Technology in the US, Dr. Liu had initiated the first special session on Design Informatics (DI) with the ASME International Design Engineering Technical Conferences (IDETC) and Computers and Information in Engineering Conference (CIE) in San Diego. DI studies the representation, perception, processing, computation, communication, storage, retrieval and reuse of information and knowledge in the general context of design. Largely due to the fast growing services offered by WWW, Semantic Web and Web 2.0, and the intrinsic complexity of information processing in design, an undoubted information and knowledge intensive activity, DI has emerged as a multidisciplinary research arena that links up various areas like information and communication technology, cognitive science and social science, computer science and artificial intelligence, design study and so on. In 2011 Washington DC, DI was voted to be one of the four permanent topics under the Technical Committee of Systems Engineering, Information and Knowledge Management (SEIKM) with IDETC/CIE starting in IDETC/CIE 2012, Chicago. In the meantime, Dr. Liu was elected as the ASME CIE/SEIKM Technical Committee Chair for 2012-2013 and served IDETC 2013 Portland, USA. Furthermore, he was nominated as the Associate Theme Chair of Design Information and Knowledge theme with the 19th International Conference on Engineering Design, ICED’13 Seoul Korea, another premier academic conference on engineering design organized by the Design Society. Given his expertise, Dr. Liu’s past research is funded by Hong Kong Research Grants Council (RGC), Ministry of Education Singapore, Singapore A*STAR and Chinese government, spanning industry sectors from automotive manufacturing, aerospace, energy and offshore, to public transportation, healthcare and hospital authority. Such efforts have made his research work appeared in academic journals and conferences from design and manufacturing, expert system and decision support, to engineering informatics and computer science. Dr. Liu is the lead editor for the book “Advances of Computational Intelligence in Industrial Systems” Springer 2008 and has served as guest editors for several special issues with the Journal of Intelligent Manufacturing, Information Systems Frontiers and Advanced Engineering Informatics. He is an Associate Editor of the Journal of Industrial and Production Engineering (Taylor & Francis) and is on the Editorial Board of Advanced Engineering Informatics (ADVEI), the Journal of Integrated Design & Process Science (JIDPS) and the International Journal of Technology Enhanced Learning (IJTEL). He also serves as a reviewer of over 20 international journals and has acted as a Program Committee member for over 30 international conferences since 2007. He is a member with ASME, ACM and the Design Society. Mechanical, Manufacturing and Medical Engineering
Mechanics, Materials and Advanced Manufacturing

Currently, Dr. Liu is looking for China CSC-funded PhD students (to be considered for Cardiff tuition waiver and higher priority is given to students with Master degree or final year Master students) and government-funded PhD students with solid background in: 1) Mechanical, Manufacturing and Industrial Engineering, particularly focusing on Engineering Design (including CAD&CG) or Product Design stream or Design Theory and Study (in Industrial Design); 2) Computer Science, Information System and Human Computer Interaction, with a comfortable sense of information processing and system perspective; 3) Engineering and Technology Management with a focus on Design Thinking, Design Process, Design Methodology, Design Asset Management, etc. If you are interested and like to work out a topic with me, please email me your intent (background and motivation), CV, transcripts and language test results (based on Cardiff requirements and if applicable). Thank you!

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)
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)
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 (10.1080/00207543.2022.2160501)
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)

Contracts

Title	People	Sponsor	Value	Duration

Supervised Students

Title	Student	Status	Degree
Artificial Curiosity	ABDULL SUKOR Abdul Syafiq	Current	PhD
COMPUTER-AIDED ETHNOGRAPHY ANALYSIS IN SUPPORTING COMPLEX INTERDISCIPLINARY PRODUCT DESIGN AND INNOVATION.	DIXON Adam	Current	PhD
RESEARCH ON THE METHODOLOGY OF DESIGN FOR REMANUFACTURING	ALGHAMDI Awn Harbi	Current	PhD
Innovative design for smart products in the cyber-physical era	QIN Jian	Current	PhD

EN2909	Dylunio Cynnyrch ac Integreiddio Systemau (Peirianneg Integredig)
EN3906	Dylunio Cynnyrch (MMM a Pheirianneg Integredig, carfan lawn BEng 3edd flwyddyn)
ENT608	Gwybodeg Gweithgynhyrchu (MSc)

Mae Dr Liu wedi derbyn Gwobr Addysgu'r Flwyddyn (AY2017/18) o'r Ysgol Peirianneg ac fe'i henwebwyd am Wobr Cyfoethogi Bywyd Myfyrwyr deirgwaith gan fyfyrwyr.

Mae rhai yn dylunio fideos terfynol gan ein cyn-fyfyrwyr, cael hwyl a mwynhau!

https://youtu.be/R69qTzRfDAc

https://youtu.be/vEaTgEMDQVU

Yn benderfynol o brofi gwahanol ddiwylliannau ymchwil a dilyn ei yrfa, ymunodd Dr Liu â Phrifysgol Caerdydd fel Uwch-ddarlithydd gyda'r Sefydliad Peirianneg Fecanyddol a Gweithgynhyrchu yn yr Ysgol Peirianneg ym mis Gorffennaf 2013. Enillodd ei Baglor a'i Feistr mewn Peirianneg Fecanyddol o Brifysgol Chongqing, Tsieina ym 1998 a 2001, ac yna M.Sc. a PhD o'r rhaglen Arloesi mewn Systemau Gweithgynhyrchu a Thechnoleg (IMST) o dan Gynghrair MIT Singapore (SMA) ym Mhrifysgol Dechnolegol Nanyang a Phrifysgol Genedlaethol Singapore yn 2002 a 2006 yn y drefn honno. Ym mis Rhagfyr 2006, aeth i ddysgu gyda Phrifysgol Polytechnig Hong Kong, yn gyntaf fel Darlithydd ac yna'n Athro Cynorthwyol. O fis Awst 2010, ymunodd Dr Liu â Pheirianneg Fecanyddol gyda Phrifysgol Genedlaethol Singapore fel Athro Cynorthwyol nes i'w gyfnod ddod i ben ym mis Mehefin 2013.

Mae diddordebau ymchwil Dr Liu yn canolbwyntio'n bennaf ar wybodeg dylunio, gwybodeg gweithgynhyrchu, gweithgynhyrchu deallus, methodoleg a phroses ddylunio, dylunio cynnyrch, TGCh mewn dylunio a gweithgynhyrchu, dadansoddi data deallus, prosesu a rheoli gwybodaeth mewn dylunio cysyniadol, dylunio peirianneg a gweithgynhyrchu gan ddefnyddio technegau megis cloddio data / testun, dysgu peiriannau, adfer gwybodaeth, deallusrwydd cyfrifiadurol, AI ac yn y blaen ar gyfer darganfod a rheoli gwybodaeth diben.

Ym mis Awst 2009, mewn partneriaeth ag academyddion o Brifysgol Caerfaddon UK, Prifysgol Purdue a Sefydliad Technoleg Georgia yn yr Unol Daleithiau, roedd Dr Liu wedi cychwyn y sesiwn arbennig gyntaf ar Wybodeg Dylunio (DI) gyda Chynadleddau Technegol Peirianneg Dylunio Rhyngwladol ASME (IDETC) a Chynhadledd Cyfrifiaduron a Gwybodaeth mewn Peirianneg (CIE) yn San Diego. Mae DI yn astudio cynrychiolaeth, canfyddiad, prosesu, cyfrifiant, cyfathrebu, storio, adfer ac ailddefnyddio gwybodaeth yng nghyd-destun cyffredinol dylunio. Yn bennaf oherwydd y gwasanaethau sy'n tyfu'n gyflym a gynigir gan WWW, Gwe Semantig a Web 2.0, a chymhlethdod cynhenid prosesu gwybodaeth mewn dylunio - gwybodaeth a gweithgaredd dwys o wybodaeth, mae DI wedi dod i'r amlwg fel arena ymchwil amlddisgyblaethol sy'n cysylltu meysydd amrywiol fel technoleg gwybodaeth a chyfathrebu, gwyddor gwybyddol a gwyddorau cymdeithasol, cyfrifiadureg a deallusrwydd artiffisial, astudiaeth ddylunio ac ati. Yn 2011, pleidleisiwyd DI i fod yn un o'r pedwar pwnc parhaol o dan Bwyllgor Technegol Peirianneg Systemau, Gwybodaeth a Rheoli Gwybodaeth (SEIKM) gydag IDETC/CIE yn dechrau yn IDETC / CIE 2012, Chicago. Yn y cyfamser, etholwyd Dr Liu yn Gadeirydd Pwyllgor Technegol ASME CIE / SEIKM AR GYFER 2012-2013 A GWASANAETHODD IDETC 2013 Portland, UDA. Ar ben hynny, fe'i enwebwyd fel Cadeirydd Thema Cysylltiol thema Gwybodaeth a Gwybodaeth Dylunio gyda'r 19eg Gynhadledd Ryngwladol ar Ddylunio Peirianneg, ICED'13 Seoul Korea, prif gynhadledd academaidd arall ar ddylunio peirianneg a drefnwyd gan y Gymdeithas Ddylunio.

O ystyried ei arbenigedd, cyllidir ymchwil blaenorol Dr Liu gan Gyngor Grantiau Ymchwil Hong Kong (RGC), y Weinyddiaeth Addysg Singapore, Singapôr A*STAR a llywodraeth China, sy'n rhychwantu sectorau diwydiant o weithgynhyrchu modurol, awyrofod, ynni ac ar y môr, i drafnidiaeth gyhoeddus, gofal iechyd ac awdurdod ysbyty. Mae ymdrechion o'r fath wedi gwneud i'w waith ymchwil ymddangos mewn cyfnodolion academaidd a chynadleddau o ddylunio a gweithgynhyrchu, system arbenigol a chymorth penderfyniadau, i wybodeg peirianneg a chyfrifiadureg. Dr Liu yw golygydd arweiniol y llyfr "Advances of Computational Intelligence in Industrial Systems" Springer 2008 ac mae wedi gwasanaethu fel golygyddion gwadd ar gyfer nifer o faterion arbennig gyda'r Journal of Intelligent Manufacturing, Information Systems Frontiers a Advanced Engineering Informatics. Mae'n Olygydd Cyswllt ASME JCISE a'r Journal of Industrial and Production Engineering (Taylor & Francis) ac mae ar Fwrdd Golygyddol Gwybodeg Peirianneg Uwch (ADVEI), y Journal of Integrated Design and Process Science (JIDPS) a'r International Journal of Technology Enhanced Learning (IJTEL). Mae hefyd yn adolygydd dros 30 o gyfnodolion rhyngwladol ac mae wedi gweithredu fel aelod Pwyllgor Rhaglen ar gyfer dros 40 o gynadleddau rhyngwladol ers 2012.

Aelodaethau proffesiynol

Mae'n aelod proffesiynol gydag ASME, ACM, IEEE a'r Gymdeithas Ddylunio.

Mae fy myfyrwyr PhD yn gefndir peirianneg fecanyddol/gweithgynhyrchu / diwydiannol, cyfrifiadureg, awtomeiddio a rheolaeth, dylunio diwydiannol, EEE, ac yn ddiweddar, gwyddor deunyddiau a pheirianneg a rheoli menter.

Mae bron i 50% o fy myfyrwyr PhD yn cael eu noddi gan y diwydiant. Mae gan bron pob un astudiaeth ymchwil PhD o dan fy noruchwyliaeth uniongyrchol gydweithredwr diwydiannol pwrpasol felly mae'n helpu'r myfyriwr i ddilysu ei waith gwreiddiol a dangos ei effeithiolrwydd a'i werth.

Diolch!