Dr. Xiaohui Tao, PhD

Associate Professor (Computing)
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 an elected Senior Member of IEEE and ACM, an active researcher in AI, and Associate Professor (Computing) in School of Mathematics, Physics and Computing (SoMPC), University of Southern Queensland (USQ), Australia. His research interests include data analytics, machine learning, knowledge engineering, information retrieval, and health informatics. During his research career, Tao gained a wealth of knowledge and experience in dealing with massive data sets and delivering solutions to complex research problems. He developed many innovative models, methods and systems, such as a multi-disease recommender system, a clinic decision support system for personalised and evidence-based medicine, a heterogeneous information graph model for health risk prediction, an algorithm to detect potential mental issues using sentiment analysis and natural language processing techniques, and an ontology learning and mining model for personalised information gathering, and made contributions to the areas such as Knowledge Engineering, Text Mining and Information Retrieval and Health informatics. The research outcomes have been published on many top-tier journals (e.g., TKDE, IPM, KBS, ESWA, and PRL) and conferences (e.g., IJCAI, ICDE, CIKM, PAKDD and WISE). A/Prof. Tao received ARC DP grant (Ref. DP220101360) in 2022-24, Australian Endeavour Research Fellow in 2015-16, and was awarded with "Research Performance Award" and "Discipline Research Performance Improvement Award" by SoMPC, USQ, Research Award by Department of Mathematics and Computing, USQ in 2012 and the Dean's Award for Academic Excellence by Faculty of Science and Technology at QUT in 2009.

A/Prof. Tao has been active in professional services. He has served PC Chair in WI '17, '18, WI-IAT '21 and BESC '18 and '21. He has been an editor or guest editor in many journals including INFFUS and WWWJ, and also been a regular reviewer in many top-ranking journals such as TKDE, TPDS, and KBS.

Dr. Tao has also been actively participating in tertiary education ever since 2005 and taught a variety of IT/IS subjects. Currently, he is the Discipline Team Leader of Computing in SoMPC and Lead of the Intelligent Data Engineering and Analytics Group in School of Mathematics, Physics and Computing, USQ and is the Principal Supervisor of a number of PhD and Research Master students.

NEWS RESEARCH PUBLICATIONS TEACHING GRANTS SERVICES

Selected Publications

Full list: Google Scholar Scopus DBLP Semantic Scholar ResearchGate

2022

Journal articles
  1. 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. Accepted by IEEE Access, 2022 (in press). [Q1][https://doi.org/10.1109/ACCESS.2022.3177752]
  2. Ru Wang, Lin Li, Xiaohui Tao, Peipei Wang, and Peiyu Liu. Contrastive and attentive graph learning for multi-view clustering. Information Processing and Management, 2022 (in press). [Q1][https://doi.org/10.1016/j.ipm.2022.102967]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. 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]
  9. 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. Accepted by the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI), July 23-29, 2022, Messe Wien, Vienna, Austria
  2. 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. [doi: 10.1007/978-3-030-95405-5 26]

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%]