Dr. Xiaohui Tao, PhD
Professor (Computer Science)
Computing Discipline Team Leader
School of Mathematics, Physics, and Computing
University of Southern Queensland, Australia
Tel: +61 7 4631 1576
Email: xiaohui DOT tao AT usq DOT edu DOT au
http://www.tao-xiaohui.info
https://staffprofile.usq.edu.au/Profile/Xiaohui-Tao

Dr. Xiaohui Tao is Full Professor and Lead of Computing Discipline in the School of Mathematics, Physics and Computing at the University of Southern Queensland (UniSQ), Australia. He is a Senior Member of IEEE and ACM, and an active researcher in AI. Dr. Tao received his Ph.D. in Information Technology from Queensland University of Technology, Australia, which has led to research in data analytics, machine learning, knowledge engineering, natural language processing, and health informatics. During his research career, Tao has attained a wealth of knowledge and experience with massive data sets and delivering solutions to complex research and development problems. His research outcomes have been published in 150+ papers across many top-tier journals (e.g., TKDE, INFFUS, IPM, etc.) and conferences (e.g., AAAI, IJCAI, ICDE, CIKM, etc). Tao is the recipient of an Australia Research Council Grant, an Australian Endeavour Research Fellowship, along with several other awards from respected professional bodies and organisations.

Tao has been a very active volunteer and leader in the intelligent informatics fields. He has held leadership positions within many IEEE sponsored conferences, including Chair (or Co-chair) of program committees in WI '17, '18, WI-IAT '21 and BESC '18 and '21. He is Editor-in-Chief of Natural Language Processing Journal, Elsevier and IEEE Intelligence Informatics Bulletin (the flagship communication forum for the IEEE Technical Committee of Intelligent Informatics), and Managing Editor of Web Intelligence Journal, IOS Press. He has also been an editor or guest editor in many top-tier journals such as INFFUS and WWWJ, and a regular reviewer of TKDE, TPDS, TII, TCC, TSC, INFFUS, IPM, and TDSC, etc. Currently, Tao is leading a research group on intelligent data engineering and analytics that develops algorithms and systems with real-world impact.
NEWS RESEARCH GRANTS PUBLICATIONS INVITED TALKS TEACHING SERVICES

Selected Publications
Full list: Google Scholar Scopus DBLP Semantic Scholar ResearchGate

2023

Journal articles
  1. Matthew Squires, Xiaohui Tao, Soman, Raj Gururajan, Xujuan Zhou, Rajendra U Acharya, and Yuefeng Li, Deep Learning and Machine Learning in Psychiatry: A Survey of Current Progress in Depression Detection, Diagnosis and Treatment, Brain Informatics, 2012 (in press)
  2. Simi Job, Xiaohui Tao, Yuefeng Li, Lin Li, and Jianming Yong. Topic Integrated Opinion-based Drug Recommendation with Transformers. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 (in press)
  3. Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, and Xujuan Zhou. Remote Patient Monitoring using Artificial Intelligence: Current State, Applications, and Challenges. WIREs Data Mining and Knowledge Discovery, 2023 (in press). [Q1]
  4. Zongxi Li, Xianming Li, Haoran Xie, Fu Lee Wang, Mingming Leng, Qing Li, and Xiaohui Tao. A novel dropout mechanism with label extension schema toward text emotion classification. Information Processing and Management, Volume 60, Issue 2, March 2023, 103173. https://doi.org/10.1016/j.ipm.2022.103173 [Q1]
  5. Lin Li, Turghun Tayir, Yifeng Han, Xiaohui Tao, and Juan D. Velasquez. Multimodality Information Fusion for Automated Machine Translation. Information Fusion, Volume 91, March 2023, Pages 352–363. [Q1, IF 17.564] https://doi.org/10.1016/j.inffus.2022.10.018
  6. Xiaohui Tao, Aaron Shannon-Honson, Patrick Delaney, Christopher Dann, Haoran Xie, Yan Li and Shirley O’Neill. Towards an Understanding of the Engagement and Emotional Behaviour of MOOC Students using Sentiment and Semantic Features. Computers & Education: Artificial Intelligence, 2023 (in press).
  7. Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, and Linda Galligan. Sentiment Analysis and Opinion Mining on Educational Data: A Survey. Natural Language Processing Journal, volume 2, 2023, 100003. https://doi.org/10.1016/j.nlp.2022.100003
Conference papers
  1. Shugui Xie, Lin Li, Jingling Yuan, Qing Xie and Xiaohui Tao, Long Legal Article Question Answering via Cascaded Key Segment Learning, poster presentation in the 37th AAAI Conference on Artificial Intelligence (AAAI'23), Washington DC, USA, 7–14 Feb 2023
  2. Jian Cui, Lin Li, and Xiaohui Tao. Be-or-Not Prompt Enhanced Hard Negatives Generating for Memes Category Detection. In Proceedings of The IEEE International Conference on Multimedia & Expo (ICME), 2023.
  3. Haole Ke, Lin Li, PeiPei Wang, Jingling Yuan, and Xiaohui Tao. Tree-like Interaction Learning for Bundle Recommendation, in Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, 4-10 June, Rhodes Island, Greece.
  4. Shugui Xie, Lin Li, Jingling Yuan, Qing Xie and Xiaohui Tao. L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning, in Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 17-20, 2023, Tianjin, China.
  5. Haole Ke, Lin Li, PeiPei Wang, Jingling Yuan and Xiaohui Tao. Hyperbolic Mutual Learning for Bundle Recommendation, in Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 17-20, 2023, Tianjin, China.
  6. PeiPei Wang, Lin Li, Ru Wang, and Xiaohui Tao. Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation, in Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023), April 17-20, 2023, Tianjin, China.

2022

Journal articles
  1. Thanveer Shaik, Xiaohui Tao, Niall Huggins, Raj Gururajan, Yuefeng Li, Xujuan Zhou and U R. Acharya. FedStack: Personalized Activity Monitoring using Stacked Federated Learning. Knowledge-Based Systems, Volume 257, 5 December 2022, 10992. [Q1] https://doi.org/10.1016/j.knosys.2022.109929
  2. Xiaohui Tao, Aaron Shannon-Honson, Patrick Delaney, Lin Li, Christopher Dann, Yan Li, and Haoran Xie. Data Analytics on Online Student Engagement Data for Academic Performance Modelling. IEEE Access vol. 10, pp. 103176-103186, 2022. [Q1] https://doi.org/10.1109/ACCESS.2022.3208953.
  3. Thanveer Shaik, Xiaohui Tao, Yan Li, Christopher Dann, Jaquie McDonald, Petrea Redmond and L. Galligan. A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis. IEEE Access, 2022. [Q1][https://doi.org/10.1109/ACCESS.2022.3177752]
  4. Ru Wang, Lin Li, Xiaohui Tao, Peipei Wang, and Peiyu Liu. Contrastive and attentive graph learning for multi-view clustering. Information Processing and Management, Volume 59, Issue 4, July 2022, 102967. [Q1][https://doi.org/10.1016/j.ipm.2022.102967]
  5. Chee Keong Wee, Xujuan Zhou, Raj Gururanjan, Xiaohui Tao, Nathen Wee, and Prabal Barua. Automated Triaging Medical Referral for Otorhinolaryngology using Data Mining and Machine Learning Techniques. IEEE Access, 2022. [Q1][https://doi.org/10.1109/ACCESS.2022.3168980]
  6. Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, and U Rajendra Acharya. A Novel Genetic Algorithm Based System for the Scheduling of Medical Treatments, Expert Systems With Applications. Expert Systems with Applications, Volume 195, 1 June 2022, 116464. [Q1][https://doi.org/10.1016/j.eswa.2021.116464]
  7. Thuan Pham, Xiaohui Tao, Ji Zhang, Jianming Yong, Yuefeng Li, and Haoran Xie. Graph-based Multi-label Disease Prediction Model Learning from Medical Data and Domain Knowledge. Knowledge-Based Systems, Volume 235, 10 January 2022, 107662. [Q1] [https://doi.org/10.1016/j.knosys.2021.107662]
  8. Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie and Lingling Xu. Machine and cognitive intelligence for human health: systematic review. Brain Informatics, volume 9, Article number: 5 (2022) [Q1][https://doi.org/10.1186/s40708-022-00153-9]
  9. Wang Gao, Lin Li, Xiaohui Tao, Jing Zhou, Jun Tao. Identifying informative tweets during a pandemic via a topic-aware neural language model. World Wide Web, 1–16, 16 Mar 2022. [https://doi.org/10.1007/s11280-022-01034-1]
  10. Hongzhi Kuai, Xiaohui Tao, and Ning Zhong. Web Intelligence meets Brain Informatics: towards the Future of Artificial Intelligence in the Connected World, World Wide Web, Springer, 2022. [https://doi.org/10.1007/s11280-022-01030-5]
  11. Ru Wang, Lin Li, Peipei Wang, Xiaohui Tao and Peiyu Liu. Deep boundary-aware clustering by jointly optimizing unsupervised representation learning. Multimedia Tools and Applications, 2022. [Q1][https://doi.org/10.1007/s11042-021-11597-2]
Conference papers
  1. Xiaohua Wu, Lin Li, and Xiaohui Tao, Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI), AI for Good, July 23-29, 2022, Messe Wien, Vienna, Austria, Pages 5094-5100. https://doi.org/10.24963/ijcai.2022/707
  2. Tamara Abdulmunim Abduljabbar, Xiaohui Tao, Ji Zhang, Jianming Yong, and Xujuan Zhou A Secured Movie Recommendation System using Decentralized Blockchain Network. In Proceedings of The 9th International Conference on Behavioral and Social Computing (BESC’22), Matsuyama University, Japan, 29–31 October 2022. [Best Student Research Paper Runner-up Award]
  3. Chee Keong Wee, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Nathan Wee. Adaptive Fault Resolution for Database Replication Systems. In: Li B. et al. (eds) Advanced Data Mining and Applications. ADMA 2022. Lecture Notes in Computer Science, vol 13087. Springer, Cham. https://doi.org/10.1007/978-3-030-95405-5_26
  4. Raid Lafta, Hisham Alshaheen, Biao Wang, Xiaohui Tao, Lingling Li, Kexin Zhang, and Ji Zhang. Fast Fourier Transform and Ensemble Model to Classify Epileptic EEG Signals. Accepted by 2022 IEEE International Conference on Big Data (IEEE BigData 2022).
  5. Chee Keong Wee, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Nathan Wee. Adaptive Fault Resolution for Database Replication Systems. In: Li B. et al. (eds) Advanced Data Mining and Applications. ADMA 2022. Lecture Notes in Computer Science, vol 13087. Springer, Cham. https://doi.org/10.1007/978-3-030-95405-5_26
  6. Josh Jia-Ching Ying, Wan-Ju Yang, Ji Zhang, Yu-Ching Ni, Chia-Yu Lin, Fan-Pin Tseng and Xiaohui Tao. A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography. In Proceeding of the 18th International Conference on Advanced Data Mining and Applications (ADMA’22), Brisbane, Australia, 28th Nov - 30th Nov, 2022. https://doi.org/10.1007/978-3-031-22064-7_21

2021

Journal articles
  1. Thomas Body, Xiaohui Tao, Yuefeng Li, Lin Li, and Ning Zhong, Using Back-and-Forth Translation to Create Artificial Augmented Textual Data for Sentiment Analysis Models. Expert Systems With Applications, Volume 178, 15 September 2021, 115033 [Q1] [https://doi.org/10.1016/j.eswa.2021.115033]
  2. Ru Wang, Lin Li, Xiaohui Tao, Xiao Dong, Peipei Wang and Peiyu Liu. Trio-based collaborative multi-view graph clustering with multiple constraints, Information Processing and Management, Elsevier, Volume 58, Issue 3, May 2021, 102466, 2021 [Q1, SNIP 3.199] [https://doi.org/10.1016/j.ipm.2020.102466]
  3. Xiaohui Tao, Wee Pheng Goh, Ji Zhang, Jianming Yong, Elizabeth Z. Goh, Xueling Oh, Mobile- based Learning of Drug Prescription for Medical Education using Artificial Intelligence Techniques, International Journal of Mobile Learning and Organisation, InderScience, 25 Oct 2021 [Q1] [https://doi.org/10.1504/IJMLO.2021.118436]
  4. Sujan Ghimire, Zaher Mundher Yaseen, Aitazaz A. Farooque, Ravinesh C. Deo, Ji Zhang, Xiaohui Tao. Stream ow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks. Scientific Reports, volume 11, Article number: 17497 (2021). [Q1] [https://doi.org/10.1038/s41598-021-96751-4]
  5. Xiaohui Tao, Thanveer Basha Shaik, Niall Higgins, Raj Gururajan, Xujuan Zhou, Remote Patient Monitoring using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities, Sensors, MDPI, 21(3), 776, 2021. [Q1] [https://doi.org/10.3390/s21030776]
  6. Xieling Chen, Xiaohui Tao, Fu Lee Wang and Haoran Xie, Global research on artificial intelligence-enhanced human electroencephalogram analysis, Neural Computing and Applications, Springer, 2021 [Q1] [https://doi.org/10.1007/s00521-020-05588-x]
  7. Faisal Nabi, Xiaohui Tao, Jianming Yong, Security Aspects in Modern Service Component Oriented Application Logic for Social Media Systems, Social Network Analysis and Mining, Springer, 11, 22, 2021 [Q1] [https://doi.org/10.1007/s13278-020-00717-9]
  8. Xiaohui Tao, Oliver Chi, Patrick J. Delaney, Lin Li and Jiajin Huang. Detecting Depression using an Ensemble Classifier Based on Quality of Life Scales. Brain Informatics, Springer, 8, 2, 2021. [Q1, SNIP: 2.333] [https://doi.org/10.1186/s40708-021-00125-5]
Conference papers
  1. Kaixi Hu, Lin Li, Qing Xie, Jianquan Liu and Xiaohui Tao, What is Next when Sequential Prediction Meets Implicitly Hard Interaction? In Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM) 2021, 1-5 November 2021, Online and Gold Coast, Queensland, Australia [https://doi.org/10.1145/3459637.3482492]
  2. Wang Gao, Yuan Fang, Lin Li, and Xiaohui Tao. Event Detection in Social Media via Graph Neural Network. In: Zhang W., Zou L., Maamar Z., Chen L. (eds) Web Information Systems Engineering, WISE 2021. WISE 2021. Lecture Notes in Computer Science, vol 13080. Springer, Cham. https://doi.org/10.1007/978-3-030-90888-1_28
  3. Hongzhi Kuai, Jianhui Chen, Xiaohui Tao, Kazuyuki Imamura, Peipeng Liang, and Ning Zhong, Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications, In Proceedings of the 14th International Conference on Brain Informatics, 2021, 17–19 September 2021, online. [Best Student Paper]
  4. Yuquan Peng, Lin Li, Qing Xie, and Xiaohui Tao, Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Trafic Signal Control, accepted by The 5th APWeb-WAIM International Joint Conference on Web and Big Data (APWEb-WAIM), August 23-25, 2021, Guangzhou, China. [https://doi.org/10.1007/978-3-030-85899-5_29]

2020

Journal articles
  1. Raid Luaibi Lafta, Ji Zhang and Xiaohui Tao, A General Extensible Learning Approach for Multi-Disease Recommendations in a Telehealth Environment, Pattern Recognition Letters, Elsevier, Volume 132, page 106-114, April 2020 [Q1] [https://doi.org/10.1016/j.patrec.2018.11.006]
  2. Xieling Chen, Xinxin Zhang, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Nengfu Xie and Tianyong Hao, A bibliometric and visual analysis of artificial intelligence technologies-enhanced brain MRI research, Multimedia Tools and Applications, 11 June 2020 [Q1] [https://doi.org/10.1007/s11042-020-09062-7]
  3. Ji Zhang, Leonard Tan, Xiaohui Tao, Thuan Pham and Bing Chan, Rational Intelligence Recognition in Online Social Networks - A Survey, Computer Science Review, volume 35, Feb 2020 [Q1] [https://doi.org/10.1016/j.cosrev.2019.100221]
  4. Moloud Abdar, Mariam Zomorodi-Moghadam, Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Prabal D Barua and Rashmi Gururajan, A new nested ensemble technique for automated diagnosis of breast cancer, Pattern Recognition Letters, Elsevier, Volume 132, page 123-131, April 2020 [Q1] [https://doi.org/10.1016/j.patrec.2018.11.004]
  5. Thuan Pham, Xiaohui Tao, Ji Zhang and Jianming Yong, Constructing a Knowledge-based Hetero- geneous Information Graph for Medical Health Status Classification, Health Information Science and Systems, Springer, volume 8, Article number: 10, 2020. [Q1] [https://doi.org/10.1007/s13755-020-0100-6]
  6. Da Ren, Pengfei Zhang, Qing Li, Xiaohui Tao, Junying Chen and Yi Cai, A Hybrid Representation Based Similar Component Extraction, Neural Computing and Applications, 2020. [Q1] [https://doi.org/10.1007/s00521-020-04818-6]
  7. Christopher Kok, V Jahmunah, Shu Lih Oh , Xujuan Zhou, Raj Gururajan, Xiaohui Tao, Kang Hao Cheong, Rashmi Gururajan, and U Rajendra Acharya, Automated Prediction of Sepsis Using Temporal Convolutional Network, Computers in Biology and Medicine, Volume 127, December 2020, 103957, 2020 [Q1] [https://doi.org/10.1016/j.compbiomed.2020.103957]
  8. Faisal Nabi, Jianming Yong and Xiaohui Tao, A Security Review of Event-Based Application Function and Service Component Architecture, International Journal of Systems and Software Security and Protection, v11(2), 2020, IGI. [Q1] [https://doi.org/10.4018/IJSSSP]
Conference papers
  1. Zongxi Li, Xinhong Chen, Haoran Xie, Qing Li, and Xiaohui Tao, EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification, accepted by the 2020 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020), Melbourne, Australia, 2020 [Best Research Paper, CORE B, acceptance rate: 25%]
  2. Peiran Nai, Lin Li and Xiaohui Tao, A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension, accepted by International Conference on Web Information Systems Engineering (WISE), 2020. [Best Student Paper Award]
  3. Ru Wang, Lin Li, Peipei Wang, Xiaohui Tao, Peiyu Liu, Feature-aware unsupervised learning with joint variational attention and automatic clustering, accepted by the 25th International Conference on Pattern Recognition (ICPR), 2020.
  4. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Regulatory Challenges and Mitigation for Account Services Offered by FinTech. Accepted for the 2020 24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2020), Dalian, China
  5. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Challenges and Mitigation for Application Deployment over SaaS Platform in Banking and Financial Services Industry. Accepted for the 2020 24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2020), Dalian, China

2019 backward

Journal articles
  1. Ji Zhang, Leonard Tan, and Xiaohui Tao. On Relational Learning and Discovery in Social Networks: A Survey, International Journal of Machine Learning and Cybernetics, 10(8): 2085-2102, 2019. [Q1] [https://doi.org/10.1007/s13042-018-0823-8]
  2. Ji Zhang, Raid Luaibi Lafta, Xiaohui Tao, Yan Li, Fulong Chen, Yonglong Luo, and Xiaodong Zhu. Coupling a Fast Fourier Transformation with a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment, In IEEE Access, vol. 5, pp. 10674-10685, (2017). [Q1, SNIP: 3.601] [https://doi.org/10.1109/ACCESS.2017.2706318]
  3. Wee Phong Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong. Decision Support Systems for Adoption in Dental Clinics: A Survey. Knowledge-Based Systems, Elsevier, 104, 195-206 (2016). [Q1; SNIP: 2.757; SJR: 2.190; IF: 2.947; 5-yr IF: 3.011] [https://doi.org/10.1016/j.knosys.2016.04.022]
  4. Xiaohui Tao, Yuefeng Li, and Ning Zhong. A Personalised Ontology Model for Web Information Gathering. IEEE Transactions on Knowledge and Data Engineering, 23(4):496-511 (2011). [Q1, SNIP: 4.341] [https://doi.org/10.1109/TKDE.2010.145]
  5. Xiaohui Tao, Yuefeng Li, and Richi Nayak. A Knowledge Retrieval Model Using Ontology Mining and User Profiling, Integrated Computer-Aided Engineering, 15(4), pp313-329, (2008). [Q1, Impact Factor: 3.37, SNIP: 1.471][https://doi.org/10.3233/ICA-2008-15404 ]
Conference papers
  1. Ji Zhang, Leonard Tan, Xiaohui Tao, Dianwei Wang, Josh Jia-Ching Ying and Xin Wang, Learning Relational Fractals For Deep Knowledge Graph Embedding In Online Social Networks, Web Information Systems Engineering (WISE) 2019, Springer International Publishing, pp. 660-674, 2019 [Best Runner-up Paper Award]
  2. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong, Personalised Drug Prescription for Dental Clinics Using Word Embedding, In: U L., Yang J., Cai Y., Karlapalem K., Liu A., Huang X. (eds) Web Information Systems Engineering. WISE 2019. Communications in Computer and Information Science, vol 1155. Springer, Singapore https://doi.org/10.1007/978-981-15-3281-8_5
  3. Ji Zhang, Leonard Tan, Xiaohui Tao, Hongzhou Li, Fulong ChenYonglong Luo, SLIND+: Stable LINk Detection, In: U L., Yang J., Cai Y., Karlapalem K., Liu A., Huang X. (eds) Web Information Systems Engineering. WISE 2019. Communications in Computer and Information Science, vol 1155. Springer, Singapore https://doi.org/10.1007/978-981-15-3281-8_8
  4. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Ethics of IT Security Team for Cloud Architecture Infrastructure in Banking and Financial Services Industry. 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, 2019, pp. 506-511.https://doi.org/10.1109/CSCWD.2019.8791928
  5. Abhishek Mahalle, Jianming Yong, and Xiaohui Tao. Insider Threat and Mitigation for Cloud Architecture Infrastructure in Banking and Financial Services Industry. 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), Porto, Portugal, 2019, pp. 16-21.https://doi.org/10.1109/CSCWD.2019.8791906
  6. Ji Zhang, Leonard Tan, Xiaohui Tao, Jerry Chun-Wei Lin, Hongzhou Li and Liang Chang. On Link stability Detection for Online Social Networks. In Proceedings of 28th International Conference on Database and Expert Systems Applications (DEXA 2018), pp 320-335. September 3-6, 2018, Germany.
  7. Raid Lafta, Ji Zhan, Xiaohui Tao, Jerry Chun-Wei Lin, Fulong Chen, Yonglong Luo and Xiaoyao Zheng. A Recommender System with Advanced Time Series Medical Data Analysis for Diabetes Patients in a Telehealth Environment. In Proceedings of 28th International Conference on Database and Expert Systems Applications (DEXA 2018), pp 185-192, September 3-6, 2018, Germany.
  8. Ji Zhang, Leonard Tan, Xiaohui Tao, Xiaoyao Zheng, Yonglong Luo, and Jerry Chun-Wei Lin. SLIND: Identifying Stable Links in Online Social Networks. The 23rd International Conference on Database Systems for Advanced Applications (DASFFA 2018), pp 813-816, May 21-24, 2018, Gold Coast, Australia.
  9. Abhishek Mahalle, Jianming Yong and Xiaohui Tao. Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure. Accepted by the 2018 22nd IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD 2018), May 9-11, 2018, Nanjing, China
  10. Xujuan Zhou, Xiaohui Tao, Mostafa Rahman, and Ji Zhang. Coupling Topic Modelling in Opinion Mining for Social Media Analysis. In Proceeding of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence, Leipzig, Germany, 2017.
  11. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong. Mining Drug Properties for Decision Support in Dental Clinics. In Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 375-387, 2017, Jeju, South Korea.
  12. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen and Vincent S. Tseng. A fast Fourier transform-coupled machine learning-based ensemble model for disease risk prediction using a real-life dataset. In Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp 654-670, 2017.
  13. Xiaohui Tao, Xujuan Zhou, Ji Zhang, and Jianming Yong. Sentiment Analysis for Depression Detection on Social Networks. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA '16), pp. 807-810, 2016.
  14. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, and Vincent S. Tseng. IRS-HD: an Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-health Environment. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA '16), pp. 803-806, 2016.
  15. Ali A. Al-kharaz, Xiaohui Tao, Ji Zhang, and Raid Lafta. Adopting Hybrid Descriptors to Recognise Leaf Images for Automatic Plant Specie Identification. In Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA '16), pp. 219-233, 2016. (Acceptance Rate 17%)
  16. Mehdi Gheisari, Mojtaba Fazli, Yongrui Qin, Jianming Yong, Xiaohui Tao, Ji Zhang, and Haifeng Shen. NSSSD:A New Semantic hierarchical Storage for Sensor Data. In Proceedings of the 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 174-179, 2016.
  17. Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, and Vincent S. Tseng. An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients. In Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI '15), WI-IAT (3) 2015:102-105, 2015.
  18. Wee Pheng Goh, Xiaohui Tao, Ji Zhang, and Jianming Yong. Adverse Drug Detection in Prescription for Personalised Decision Support in Dental Clinics. In Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI '15), WI-IAT (3) 2015:88-91 2015.
  19. Guangyuan Wang, Hua Wang, Xiaohui Tao and Ji Zhang. Positive Influence Dominating Set Games. In Proceedings of the 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp 469-473, 2014.
  20. GuangyuanWang, HuaWang, Xiaohui Tao and Ji Zhang. Minimising K-Dominating Set in Arbitrary Network Graphs. In proceedings of the 9th International Conference on Advanced Data Mining and Applications (ADMA), pp 120-132, 2013.
  21. GuangyuanWang, HuaWang, Xiaohui Tao, Ji Zhang and Jianming Yong. A Self-Stabilising Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks. In Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013, pp. 496-501.
  22. Xujuan Zhou, Xiaohui Tao, Jianming Yong, and Zhenyu Yang. Sentiment Analysis on Tweets for Social Events. In Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 557-562, 2013.
  23. Ji Zhang, HuaWang, Xiaohui Tao, and Lili Sun. SODIT: An Innovative System for Outlier Detection using Multiple Localised Thresholding and Interactive Feedback. In Proceedings of the 29th IEEE International Conference on Data Engineering (ICDE 2013), Brisbane, Australia, 8-12, April, 2013, pp. 1364-1367. [ERA A, Acceptance Rate: 19%]