Statistical Computing and Data Modelling Team

Overview

Our team delivers novel methodologies and computational algorithms for data-driven modelling with a focus on the forecasting, prediction and extreme modeling.  The team has a proven record of achievement with numerous high quality publications including more than 100 journal papers since 2010 to (of which more than 40 are A* ranked and more than 30 are A ranked based on the 2010 ERA rankings and nearly a half in top 10% based on the 2014 SCI impact factors) and 34 full and peer-reviewed conference papers (of which 11 SCI-Indexed and 4 A-ranked in computer science). The total number of SCI citations for these articles is 932. Since 2013, the team has published 50 journal papers, of which 15  A* ranked and 18 A ranked based on the 2010 ERA rankings and 26 in top 10% based on the 2014 SCI impact factors) and 16 full and peer-reviewed conference papers (of which 6 SCI-Indexed and 1 A-ranked in computer science).

Highlights

Due to the deep engagement in the application fields (such as agriculture, environmental and natural resources), the team has developed and deployed many tools that have in many cases become the defacto national ‘standards’. For example:

• The spatial/temporal downscaling/disaggregation and error reduction are integrated into the Bureau of Meteorology’s operational forecasting systems. See, for example, page 6 in http://poama.bom.gov.au/poama_workshop/David_Kent_Downscaling_for_hydrological_applications.pdf;
• The ensemble generation products for precipitation and streamflow are stored on an internal CSIRO system and repeatedly used in many national and international projects (such as FGARA – Flinders and Gilbert Agricultural Resources Assessment; see the first technical report in FGARA webpage http://www.csiro.au/en/Research/LWF/Areas/Water-resources/Assessing-water-resources/Flinders-Gilbert/Technical-reports, and Nepal’s Koshi Project in DFAT’s SDIP – Sustainable Development Investment Portfolio; see https://sustainabledevelopment.un.org/partnership/?p=10001);
• The rainfall intensity-duration-frequency based on newly developed spatial temporal hierarchical model served as revised Australian Rainfall-Runoff tool for Engineering Australia. See http://www.arr.org.au/wp-content/uploads/ARR_Project_1_Stage3_Climate_Change_Research_Plan.pdf;
• The spatio-temporal extreme model for extreme temperature and drought were developed for GRDC to assist agricultural land practice.
• The block bootstrap simulation technique, combined with a quantile prediction and matching method for simulating future daily climate data, is adopted in Queensland Government’s operational SILO climate data web site. See the user guide in https://www.longpaddock.qld.gov.au/climateprojections/index.html;
• The extreme climate projection was developed to guide operational management in mining industry and infrastructure (such as BHP, Optus and Singapore Changi Airport).
• The new Water Quality Guideline was approved by Australia and New Zealand as the national standard and has been adopted by many countries. See the description in the guideline document http://www.environment.gov.au/system/files/resources/e10f8ee3-54b4-4e90-8694-50b6a3194b9d/files/nwqms-guidelines-4-vol2.pdf, updated Software page https://research.csiro.au/software/burrlioz/ and recent revision http://link.springer.com/article/10.1007%2Fs11356-013-1779-6, confirming the continuous use of our model with inclusion of the site-specific assessment and more data types which were suggested in our original technical report.
• The newly proposed event-based extreme modelling framework has demonstrated its practical advantage and attracted strategic funding support by CSIRO under the CAS-CSIRO research program to further its applications in global market.

The team received two CSIRO Divisional Research Innovation Awards and one Team Achievement Award for our application of statistical modelling in Agriculture and water resources. The team members have also delivered a number of invited presentations at international conferences and presented many invited seminars in other research institutes and universities (e.g., Organising the TIES 2014 Conference of The International Environmetrics Society- see http://www.environmetrics.org/tiesmeetings.html. Member of Scientific Program Committee of the 60th World Statistics Congress ISI2015 by The International Statistical Institute; see http://www.isi2015.org/index.php/isi2015/committees/scientific-prog-committee, which is the top conference in the field and ISI is the only statistical society having consultative status with the United Nations Economic and Social Council (ECOSOC) and the United Nations Educational, Scientific and Cultural Organisation (UNESCO). Member of Program Committee of KDD2015, the 21^st ACM SIGKDD Conference on Knowledge Discovery and Data Mining; see http://www.kdd.org/kdd2015/index.html).

Alignments with Data 61 Strategy:

The team conducts data-driven research and its applications through close collaborations with other BUs (Agriculture and Land & Water in particular) on projects of national and international importance, with focuses on

• Extreme modelling – including event based extreme modelling and spatial extreme modelling.
• Statistical forecasting–including time series data analysis, spatial and temporal modelling and analysis, bias and error reduction.
• Data integration and Uncertainty analysis – also including state-space model, Bayesian hierarchical modelling, physical-statistical modelling, spatial and temporal downscaling, data blending.
• Data/text mining for big data – with successful applications in cybersecurity, surveillance, document analysis, drug safety.
• Statistical computing –algorithm development and implementation in different programing languages including C/C++, Fortran, R packaging and Web services on different computational platforms.

The team is innovative and unique in the research community with not only strong disciplinary research capability but also deep knowledge of other disciplines due to its diverse research backgrounds beside statistics (we also have education backgrounds in mathematics, economics and computer science). The team develops not only models but also computational algorithms in data-driven modelling practice, and is active to package its algorithms on high performance computational platforms to handle big data.

The team delivers high quality research outcomes from its deep knowledge in both the domain and application areas. The projects (such as WIRADA, NDIP, NAWRA, GRDC, CAS-CSIRO joint program) are often focused on research to support national challenges and industrial innovation. The proposed methods and tools in many cases become defacto national ‘standards’.

The team develops models and algorithms to deal with different data issues in variety (multiple data sources in different spatial and or temporal scales), quality (uncertainty in data) and volume (such as daily weather data). As our research focuses on the methodology and algorithm development for the data-driven problems, the tools are often in fact generic and can be used in other fields (such as the financial industry and software systems).

The team is currently expanding its research applications in financial risk analysis, cyber risk analysis and assessment, social media big data modelling.

Visions

Developing high quality and practical methods and feasible algorithms are always challenge in applied statistics because of data quality, heterogeneity and multiple scales and data volume. Complicated physical model structures add further challenging in statistical applications. Disconnection between theoretical development in statistics and real world understanding in applications causes frequent misuse and/or abuse of statistics, resulting in improper or incorrect research conclusions. However, to develop proper tools based on existing information in order to best answer practical questions, deep domain knowledge and/or deep engagement with clients are highly needed. We are currently developing a collaboration workbench running on high performance computational platforms that supports our products. The team’s vision is to be the world lead in statistical computing and data modeling research with focus on developing world-class methods and algorithms to help our customers to solve their practical problems and packaging our models and algorithms as products for general uses in Australia and overseas.

Publications:

Journal papers:

2017

Zhang, L; Hickel, K ; Shao, QX, (2017). Predicting afforestation impacts on monthly streamflow using the DWBM model. Ecohydrology, 10(2): e1821.

Yimin Ding, Weiguang Wang∗, Ruiming Song, Quanxi Shao, Xiyun Jiao, Wanqiu Xing (2017). Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China. Agricultural Water Management, 193: 89-101

Yongyong Zhang, Quanxi Shao, Tongtiegang Zhao (2017). Comprehensive assessment of dam impacts on flow regimes with consideration of interannual variations. Journal of Hydrology 552: 447-459.

Dunxian She*, Jun Xia, Quanxi Shao, Liping Zhang, Xiang Zhang, Lei Zou (2017). Advanced investigation on the change in the streamflow into the water source of the middle route of China’s water diversion project. Journal of Geophysical Research – Atmospheres 122: 6950–6961,

Xiaohong Chen, Quanxi Shao, Chong-Yu Xu, Jiaming Zhang, Lijuan Zhang and Changqing Ye (2017). Comparative Study on the Selection Criteria for Fitting Flood Frequency Distribution Models with Emphasis on Upper-Tail Behavior. Water 9 (3): 320. 20p.

Tongtiegang Zhao, Quanxi Shao*, Yongyong Zhang(2017). Deriving Flood-Mediated Connectivity between River Channels and Floodplains: Data-Driven Approaches. Scientific Report 7: 43239. doi: 10.1038/srep43239.

Wanqiu Xing, Weiguang Wang, Quanxi Shao, John Taylor (2017). Statistical Downscaling of reference evapotranspiration in Haihe River Basin: Applicability assessment and application to future projection. Hydrolygical Sciences Journal 62(1): 15-27.

Weiguang Wang, Yimin Ding, Quanxi Shao, Junzeng Xu, Xiyun Jiao, Yufeng Luo, Zhongbo Yu (2017). Bayesian multi-model projection of irrigation requirement and water use efficiency in three typical rice plantation region of China based on CMIP5. Agricultural and Forest Meteorology 232: 89-105.

2016

W Xing, W Wang, Q Shao, Z Yu, T Yang, J Fu (2016). Periodic fluctuation of reference evapotranspiration during the past five decades: Does Evaporation Paradox really exist in China? Scientific Reports (6): 39503. doi:10.1038/srep39503

Yongyong Zhang*, Yujian Zhou, Quanxi Shao*, Hongbin Liu, Qiuliang Lei, Xiaoyan Zhai, Xuelei Wang (2016). Diffuse nutrient losses and the impact factors determining their regional differences in four catchments from North to South China. Journal of Hydrology. 543: 577-594.

Weiguang Wang*, Shan Zou, Quanxi Shao, Wanqiu Xing, Xiyun Jiao, Yufeng Luo, Bin Yong, Zhongbo Yu. The analytical derivation of multiple elasticities of runoff to climate change and catchment characteristics alteration. Journal of Hydrology (541): 1042-4056.

Chengguang Lai, Quanxi Shao, Xiaohong Chen, Zhaoli Wang, Xiaowen Zhou, Bing Yang, Lilan Zhang. Flood risk zoning using a rule mining based on ant colony algorithm. Journal of Hydrology 542: 268-280.

Yongyong Zhang, Quanxi Shao, Shifeng Zhang, Xiaoyan Zhai, Dunxian She. Multi-metric calibration of hydrologic model to capture overall flow regimes. Journal of Hydrology 539: 525-538.

Quanxi Shao, Louie Zhang and QJ Wang (2016). A hybrid stochastic-weather-generation method for temporal disaggregation of precipitation with consideration of seasonality and within-month variations. Stochastic Environmental Research and Risk Assessment 30(6): 1705-1724. Doi: 10.1007/s00477-015-1177-3.

Yongyong Zhang, Quanxi Shao*. John Taylor (2016). A balanced calibration of water quantity and quality by multi-objective optimization for integrated water system model. Journal of Hydrology 538: 802-816.

Wanqiu Xing, Weiguang Wang, Quanxi Shao, John Taylor. Statistical Downscaling of reference evapotranspiration in Haihe River Basin: Applicability assessment and application to future projection. Hydrolygical Sciences Journal (accepted)

Zhongkui Luo, Enli Wang, Quanxi Shao, Mark K. Conyers, Deli Liu (2016). Confidence in soil carbon predictions undermined by uncertainties in observations and model parameterisation. Environmental Modelling & Software 80: 26-32.

Yongyong Zhang*, Quanxi Shao*, Aizhong Ye, Hongtao Xing, Jun Xia (2016). Integrated water system simulation by considering hydrological and biogeochemical processes: model development, with parameter sensitivity and autocalibration. Hydrology and Earth System Sciences 20(1): 529-553.

Dunxian She*, Quanxi Shao*, Jun Xia, John A. Taylor, Yongyong Zhang, Liping Zhang, Xiang Zhang, Lei Zou (2016) Investigating the variation and non-stationarity in precipitation extremes based on the concept of event-based extreme precipitation. Journal of Hydrology 530: 785-798.

KS Bakar, P Kokic, H Jin (2016) Hierarchical spatially varying coefficient and temporal dynamic process models using spTDyn. Journal of Statistical Computation and Simulation 86 (4), 820-840.

Tongtiegang Zhao and Quanxi Shao* (2015). Detecting floodplain inundation based on the upstream-downstream relationship. Journal of Hydrology 530: 195-205.(Accepted).

Lehmann, E. A.; Phatak, A.; Stephenson, A. & Lau, R. Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change Environmetrics,  2016, 27, 239-251

2015

ZC Hao, SC Chen, ZH Li, ZB Yu, QX Shao, F Yuan and FX Shi (2015). Quantitative assessment of the impacts of irrigation on surface water fluxes in the Tarim River, China. Hydrology Research 46(6): 996-1007.

Yongyong Zhang, Xiaoyan Zhai, Quanxi Shao and Ziqi Yan (2015) Assessing temporal and spatial alterations of flow regimes in the regulated Huai River Basin, China. Journal of Hydrology 529: 384-397.

Tongtiegang Zhao, Q. Wang, James C. Bennett, David E. Robertson, Quanxi Shao, and Jianshi Zhao (2015) Quantifying predictive uncertainty of streamflow forecasts based on a Bayesian joint probability model. Journal of Hydrology 528: 329-340.

Zhongkui Luo, Enli Wang, Hongxing Zheng, Jeff A. Baldock, Osbert .J. Sun, Quanxi Shao. Convergent modelling of past soil organic carbon but divergent projections. Biogeosciences, 12: 4373–4383, 2015.

Weiguang Wang, Wanqiu Xing, Quanxi Shao (2015) How large are uncertainties in future projection of reference evapotranspiration through different approaches? Journal of Hydrology 524: 696-700.

Weiguang Wang, Jiande Wei, Quanxi Shao, Wanqiu Xing, Bin Yong, Zhongbo Yu, Xiyun Jiao (2015) Spatial and temporal variations in hydro-climatic variables and runoff in response to climate change in the Luanhe River basin, China. Stochastic Environmental Research and Risk Assessment 29(4): 1117-1133..

Li-Na Wang, Xiao-Hong Chen, Quan-Xi Shao and Yan Li (2015). Flood indicators and their clustering features in Wujiang River, South China. Ecological Engineering 76: 66-74.

Zhensheng Huang, Quanxi Shao, Zhen Pang and Bingqing Lin (2015). Adaptive testing for the Partially Linear Single-Index Model with error-prone linear covariates. Statistical methodology 25: 51–58.

H Jin, P Kokic, G Hopwood, JH Richetts, S Crimp (2015) A New Quantile Projection Method for Producing Representative Future Daily Climate based on Mixed Effect State-Space Model and Observations. 21st International Congress on Modelling and Simulation, 1544-1550.

KS Bakar, P Kokic, H Jin (2015) A spatiodynamic model for assessing frost risk in south‐eastern Australia. Journal of the Royal Statistical Society: Series C (Applied Statistics) 64.

S Crimp, KS Bakar, P Kokic, H Jin, N Nicholls, M Howden(2015) Bayesian space–time model to analyse frost risk for agriculture in Southeast Australia. International Journal of Climatology 35 (8), 2092-2108.

G Pang, H Jin, S Jiang (2015) CenKNN: a scalable and effective text classifier. Data Mining and Knowledge Discovery 29 (3), 593-625.

Li, Ming; Wang, QJ; Bennett, James; Robertson, David. A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts. Hydrology and Earth System Sciences. 2015; 19:p. 1-15.

Zhang, Yongqiang; Vaze, Jai; Chiew, Francis; Li, Ming. Comparing flow duration curve and rainfall–runoff modelling for predicting daily runoff in ungauged catchments. Journal of Hydrology. 2015; 525:72-86.

Wang, C.-H.; Baynes, T.; McFallan, S.; West, J.; Khoo, Y. B.; Wang, X.; Quezada, G.; Mazouz, S.; Herr, A.; Beaty, R. M. & others Rising tides: adaptation policy alternatives for coastal residential buildings in Australia Structure and Infrastructure Engineering, Taylor & Franics, 2015, 12, 463-476

Vera-Ruiz, V. A.; Lau, K. W.; Robinson, J. & Jermiin, L. S. Statistical tests to identify appropriate types of nucleotide sequence recoding in molecular phylogenetics BMC bioinformatics, BioMed Central Ltd, 2014, 15, S8

2014

W Wang, Q Shao, T Yang, Z Yu, W Xing, C Zhao (2014). Multimodel ensemble projections of future climate extreme changes in the Haihe River Basin, China. Theoretical and Applied Climatology 118(3):405-417.

Fangxin Shi, Zhenchun Hao, Quanxi Shao* (2014) The analysis of water vapor transport and its future change in the Yellow-Huai-Hai region of China. Journal of Geophysical Research-Atmospheres 119(18): 10702-10719.

Min LI, Zhao-Hui LIN*, Chuan-Guo YANG, Quan-Xi SHAO (2014) Application of a Coupled Land Surface-Hydrological Model to Flood Simulation in the Huaihe River Basin of China. ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 7(6): 493-498.

Weiguang Wang, Zhongbo Yu,  Wei Zhang, Quanxi Shao, Yiwei Zhang, Yufeng Luo, Xiyun Jiao, Junzeng Xu (2014). Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: Historical simulation and future projections. Agricultural Water Management 146: 249–26.

Dedi Liu, Shenglian Guo, Quanxi Shao, Yunzhong Jiang, Xiaohong Chen (2014) Optimal Allocation of Water Quantity and Waste Load in the Northwest Pearl River Delta, China. Stochastic Environmental Research and Risk Assessment 28(6):1525-1542.

Wanqiu Xing, Weiguang Wang, Quanxi Shao, Shizhang Peng, Zhongbo Yu, Bin Yong, and John Taylor (2014) Changes of reference evapotranspiration in the Haihe River Basin: present observations and future projection from climatic variables through Multi-model ensemble Global and Planetary Change 115:1-15.

2013

Weiguang Wang, Wanqiu Xing, Tao Yang, Quanxi Shao, Shizhang Peng, Zhongbo Yu, Bin Yong (2013). Characterizing the changing behaviors of precipitation concentration in the Yangtze River Basin, China. Hydrological Processes 27(24): 3375-3393.

Tao Yang, Qiang Zhang, Weiguang Wang, Zhongbo Yu, Yongqin David Chen, Guihua Lu, Zhenchun Hao, Alexander Baron, Chenyi Zhao, Xi Chen and Quanxi Shao (2013). Review of advances in hydrologic science in China in the last decades: Impact study of climate change and human activities. ASCE Journal of Hydrologic Engineering 18(11): 1380-1384.

Zhensheng Huang, Zhen Pang, Bingqing Lin and Quanxi Shao (2014). Model Structure Selection in Single-index-coefficient Regression Models. Journal of Multivariate Analysis 125: 159-175.

Weiguang Wang, Quanxi Shao, Wanqiu Xing, Zhongbo Yu and  Shizhang Peng (2014) Discussion to “Estimating the effects of climatic variability and human activities on streamflow in the Hutuo River Basin” by Shizhang Peng; Wanxin Liu; Weiguang Wang; Quanxi Shao; Xiyun Jiao; Zhongbo Yu; Wanqiu Xing; Junzeng Xu; Zengxin Zhang; and Yufeng Luo. ASCE Journal of Hydrologic Engineering 19(4): 836-839.

Quanxi Shao, Julien Lerat, Geoff Podger, Dushmanta Dutta (2014). Uncertainty estimation with bias-correction for flow series based on rating curve. Journal of Hydrology 510: 137-152.

Jin Meng, Li Li, Zhenchun Hao, Jiahu Wang, Quanxi Shao (2014). Suitability of TRMM satellite rainfall in driving a distributed hydrological model in the source region of Yellow River. Journal of Hydrology 509: 320-332.

LJ Renzullo, A Van Dijk, JM Perraud, D Collins, B Henderson, H Jin (2014) Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment.Journal of Hydrology 519, 2747-2762

Zhang, Yongqiang; Vaze, Jai; Chiew, Francis; Teng, Jin; Li, Ming. Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall–runoff modelling. Journal of Hydrology. 2014; 517:936-948.

Chang-qing YE, Xiao-hong  CHEN, Quan-xi SHAO and Jia-ming ZHANG (2013). A comparison study on distribution for flood frequency analysis focus on the observed flow data in the high flow part. Journal of Hydraulic Engineering (水利学报) 44(6): 649-702.

Junfei Chen, Guiyun Liu, Liu Yang, Quanxi Shao &Huimin Wang (2013) Pricing and Simulation for Extreme Flood Catastrophe Bonds. Water Resources Management 27(10): 3713-3725.

Weiguang Wang, Quanxi Shao, Tao Yang, Shizhang Peng, Wanqiu Xing, Fengcao Sun, Yufeng Luo (2013). Quantitative assessment of the impact of climate variability and human activities on runoff changes: a case study in four catchments of the Haihe River Basin, China. Hydrological Processes 27(8): 1158-1174.

Weiguang Wang, Wanqiu Xing, Quanxi Shao, Zhongbo Yu, Shizhang Peng, Tao Yang, Bin Yong, John Taylor, Vijay P. Singh (2013) Changes in reference evapotranspiration across the Tibetan Plateau: Observations and future projections based on statistical downscaling. Journal of Geophysical Research-Atmospheres 118(10): 4049-4068.

Quanxi Shao and Ming Li (2013). An improved statistical analogue downscaling procedure for seasonal precipitation forecast. Stochastic Environmental Research and Risk Assessment 27(4):819-830. Call number.

Shizhang Peng, Wanxin Liu, Weiguang Wang, Quanxi Shao, Xiyun Jiao,Zhongbo Yu, Wanqiu Xing, Junzeng Xu, Zengxin Zhang, Yufeng Luo (2013). Estimating the effects of climatic variability and human activity on streamflow in the Hutuo River Basin, China. ASCE Journal of Hydrologic Engineering 18(4): 422-430.

Zhanling Li, Quanxi Shao, Zongxue Xu and Chong-Yu Xu (2013). Uncertainty issues of a conceptual water balance model for a semi-arid watershed in north-west of China. Hydrological Processes 27(2): 401-421.

Weiguang Wang, Quanxi Shao, Tao Yang, Shizhang Peng, Zhongbo Yu, John Taylor, Wanqiu Xing, Cuiping Zhao and Fengchao Sun (2013). Changes in daily temperature and precipitation extremes in the Yellow River Basin, China. Stochastic Environmental Research and Risk Assessment 27(2): 401-421.

Yongyong Zhang, Jun Xia, Quanxi Shao and Xiaoyan Zhai (2013). Water Quantity and Quality Simulation by improved SWAT model in Highly Regulated Huai River Basin of China. Stochastic Environmental Research and Risk Assessment 27: 11-27.

Heung Wong, Quanxi Shao and Wai-Cheung Ip (2013), Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong. Computational Statistics and Data Analysis 57: 589-599.

P Kokic, H Jin, S Crimp (2013) Improved point scale climate projections using a block bootstrap simulation and quantile matching method. Climate dynamics 41 (3-4), 853-866

Ming Li, Q. J. Wang, and J. Bennett. Accounting for seasonal dependence in hydrological model errors and prediction uncertainty. Water Resources Research, 2013, 49(9), 5913-5929.

Fangfang Zhao, Francis H. S. Chiew, Lu Zhang, Jai Vaze, Jean-Michel Perraud, Ming Li. Application of a macroscale hydrologic model to estimate streamflow across Southeast Australia. Journal of Hydrometeorology, 13, 1233-1250,2012.

2012

Junfei Chen, Shufang Zhao, Quanxi Shao, Huimin Wang (2012). Risk Assessment on Drought Disaster in China Based on Integrative Cloud Model. Research Journal of Applied Sciences, Engineering and Technology 4(9) 1137-1146.

Quanxi Shao, Carmen Chen, Huidong (Warren) Jin and Simon Barry (2012). Statistical justification of hillside farm dam distribution in eastern Australia. Water Resources Management 26: 3139-3151. DOI 10.1007/s11269-012-0063-8.

WANG Li-Na, Quanxi Shao and  CHEN Xiao-Hong, Da-Gang Wang, Yan Li (2012). Flood Changes in Wujiang River, South China, During the Past 50 Years. Hydrological Processes. 26(23): 3561-3569.

Weiguang Wang, Quanxi Shao, Shizhang Peng , Tao Yang, Yufeng, Luo, Bin Yong, Junzeng Xu, Wanqiu Xing (2012). Reference evapotranspiration change and the causes across the Yellow River Basin during 1957-2008 and their spatial and seasonal differences. Water Resources Research 48, W05530, doi: 10.1029/2011WR010724.

Quanxi Shao, Julien Lerat, Heron Brink, Kerrie Tomkins, Ang Yang, Luk Peeters, Ming Li, Lu Zhang, Geoff Podger and Luigi J. Renzullo (2012). Gauge based precipitation estimation and associated model and product uncertainties. Journal of Hydrology 444-445: 100-112.

Dedi Liu, Shenglian Luo, Xiaohong Chen, Quanxi Shao*, Qihua Ran, Zhanghua Lou, Zhaoli Wang (2012). A macro-evolutionary multi-objective immune algorithm for optimal allocation of water resources in river basins with application to Dongjiang, China. Stochastic Environmental Research and Risk Assessment 26:491–507. DOI 10.1007/s00477-011-0505-5.

Yongyong Zhang, Jun Xia, Quanxi Shao, Xiang Zhang, Yanyun Ruan (2012). Experimental and Simulation Study on the Impact of Sluice Regulation on Runoff and Water Quality Processes. ASCE Journal of Hydrologic Engineering 17(4): 467-477. DOI: 10.1061/(ASCE)HE.1943-5584.0000463.

Quanxi Shao, Anthony Traylen and Lu Zhang (2012). Nonparametric method for estimating the effects of climatic and catchment characteristics on mean annual evapotranspiration. Water Resources Research 48, W03517. doi:10.1029/2010WR009610.

Dedi Liu, Shenglian Guo, Xiaohong Chen, Quanxi Shao (2012). Analysis of trends of annual and seasonal precipitation from 1956 to 2000 in Guangdong Province, China. Hydrological Sciences Journal 57(2):358-369.

Xiaoyan Wang, Tao Yang, Quanxi Shao, Kumud Acharya, and Zhongbo Yu (2012) Statistical downscaling of extremes of precipitation and temperature and construction of their future scenarios in an elevated and cold zone. Stochastic Environmental Research and Risk Assessment. 26: 405-418. (SCI) DOI 10.1007/s00477-011-0535-z.

Tao Yang, Xiaobo Hao, Quanxi Shao, Chong-Yu Xu, Chenyi Zhao, Xi Chen (2012) Multi-model ensemble projections in temperature and precipitation extremes of the Tibetan Plateau in the 21st century. Global and Planetary Change  80-81: 1-13. (SCI).

L Du, W Buntine, H Jin, C Chen (2012) Sequential latent Dirichlet allocation. Knowledge and information systems 31 (3), 475-503

NC Sims, AA Chariton, H Jin, MJ Colloff (2012) A classification of floodplains and wetlands of the Murray-Darling Basin based on changes in flows following water resource development. Wetlands 32, 239-248

Junfei Chen, Ming Li, Weiguang Wang. Statistical uncertainty estimation using random forests and its application to drought forecast. Mathematical Problems in Engineering, vol. 2012, Article ID 915053, 12 pages, 2012.

Junfei Chen, Guiyun Liu, Huimin Wang, Ming Li, Gaofeng Liu. Research on flood risk zoning based on information diffusion and entropy theory in the Huaihe River Basin, China. Disaster Advances, 5(4), 1224-1230, 2012.

2011

Tao Yang, Xiaoyan Wang, Chenyi Zhao, Xi Chen, Zhongbo Yu, Quanxi Shao, Chong-Yu Xu, Jun Xia and Weiguang Wang (2011). Changes of climate extremes in a typical arid zone: observations and multi-model ensemble projections. Journal of Geophysical Research-Atmospheres VOL. 116, D19106, doi:10.1029/2010JD015192 (SCI).

Weiguang Wang, Quanxi Shao, Shizhang Peng, Zengxin Zhang, Wanqiu Xing, Guiyang An, Bin Yong (2011). Spatial and temporal characteristics of changes in precipitation during 1957-2007 in the Haihe River basin, China. Stochastic Environmental Research and Risk Assessment 25(7): 881-895. DOI 10.1007/s00477-011-0469-5..

Weiguang Wang, Shizhang Peng, Tao Yang, Quanxi Shao, Junzeng Xu, and Wanqiu Xing (2011). Spatial and temporal characteristics of reference evapotranspiration trends in the Haihe River basin, China. Journal of Hydrologic Engineering 16(3): 239-252. DOI: 10.1061/(ASCE)HE.1943-5584.0000320.

Yongyong Zhang, Quanxi Shao, Jun Xia, Stuart E. Bunn, Qiting Zuo (2011). Changes of flow regimes and precipitation in Huai River Basin in the last half century. Hydrological Processes 25, 246–257. DOI: 10.1002/hyp.7853

Quanxi Shao and Ming Li (2011). A new trend analysis for seasonal time series with consideration of data dependence. Journal of Hydrology 396: 104-112, doi: 10.1016/j.jhydrol.2010.10.040.

FitzGerald, D. & Lau, K. W. On the partition monoid and some related semigroups Bulletin of the Australian Mathematical Society, Cambridge Univ Press, 2011, 83, 273-288

2010

Ming Li, Quanxi Shao, Lu Zhang and Francis H.S. Chiew (2010). Prediction of flow-duration curve by using the index model. Journal of Hydrology 389: 137–145. doi:10.1016/j.jhydrol.2010.05.039.

Zhanling Li, Quanxi Shao*, Zongxue Xu and Xitian Cai (2010). Analysis of parameter uncertainty analysis in semi-distributed hydrological models using Bootstrap method: a case study of SWAT model applied to Yingluoxia watershed in Northwest China. Journal of Hydrology 385 (1-4): 76–83. doi:10.1016/j.jhydrol.2010.01.025.

Ming Li and Quanxi Shao (2010). An improved statistical approach to merge satellite rainfall estimates and raingauge data. Journal of Hydrology 385: 51–64. doi:10.1016/j.jhydrol.2010.01.023.

Yong-Yong Zhang, Jun Xia, Tao Liang and Quanxi Shao (2010). Impact of Water Projects on River Flow Regimes and Water Quality in Huai River Basin. Water Resources Management 24: 889-908. DOI 10.1007/s1269-009-9477-3. Call Number 2625. (China’s top 100 highly influential international scientific papers” in 2010 by Institute of Scientific and Technical Information, Ministry of Science and Technology of China(ISTIC)

Tao Yang, Chong-yu Xu, Xi Chen, Vijay P. Singh, Quanxi Shao, Zhen-chun Hao and Xin Tao (2010). Assessing the impact of human activities on hydrological and sediment changes (1953-2000) in nine major catchments of the Loess plateau, China. River Research and Applications 26: 322-340. DOI: 10.1002/rra.1267.

Shao, H. Wong, W-C. Ip and M. Li (2010). Effect of ambient air pollution on respiratory illness in Hong Kong: A regional study. Environmetrics 21: 173-188, DOI: 10.1002/env.991.

Tao Yang, Chong-yu Xu, Quanxi Shao*, Xi Chen, Gui-Hua Lu and Zhen-Chun Hao (2010). Temporal and spatial patterns of low-flow changes in the Yellow River in the last half century. Stochastic Environmental Research and Risk Assessment. 24(2): 297-309. DOI 10.1007/s00477-009-0318-y.

Quanxi Shao, Zhanling Li and Zongxue Xu (2010), Trend detection in hydrological time series by segment regression with application to Shiyang River basin. Stochastic Environmental Research and Risk Assessment 24(2): 221-233. DOI: 10.1007/s00477-009-0312-4.

Tao Yang, Xu Chong-yu, Shao Quanxi, Chen Xi (2010). Regional flood frequency and spatial patterns analysis in the Pearl River Delta region using L-moments approach. Stochastic Environmental Research and Risk Assessment 24(2): 165-182. DIO: 10.1007/s00477-009-0308-0.

Ming Li, Quanxi Shao and Luigi Renzullo (2010), Estimating rainfall intensity distribution from the effective rate of precipitation. Stochastic Environmental Research and Risk Assessment 24(1): 117-130, DIO: 10.1007/s00477-009-0305-3.

Tao Yang, Quanxi Shao, Zhen-Chun Hao, Xi Chen, Zengxin Zhang, Chong-Yu Xu, Limin Sun (2010). Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes in the Pearl River Basin, China. Journal of Hydrology 380: 386-405. doi:10.1016/j.jhydrol.2009.11.013.

K Zhang, H Jin (2010) An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data AI 2010: Advances in Artificial Intelligence, 122-131

S Qiao, C Tang, H Jin, T Long, S Dai, Y Ku, M Chau (2010) PutMode: prediction of uncertain trajectories in moving objects databases. Applied Intelligence 33 (3), 370-386

L Du, W Buntine, H Jin (2010) A segmented topic model based on the two-parameter Poisson-Dirichlet process. Machine learning 81 (1), 5-19

S Qiao, C Tang, H Jin, J Peng, D Davis, N Han (2010) KISTCM: knowledge discovery system for traditional Chinese medicine. Applied Intelligence 32 (3), 346-363

H Jin, J Chen, H He, C Kelman, D McAullay, CM O’Keefe (2010) Signaling potential adverse drug reactions from administrative health databases. IEEE Transactions on knowledge and data engineering 22 (6), 839-853

J Chen, H Jin, H He, D McAullay, CM O’Keefe, R Sparks, C Kelman (2010) Mining consequence events in temporal health data. Intelligent Data Analysis 14 (2), 245-261

S Qiao, C Tang, H Jin, S Dai, X Chen, M Chau, J Hu (2010) Processing constrained k-Closest pairs queries in crime databases. Security Informatics, 59-75

Zhang, Y.; Chen, M.; Church, W. B.; Lau, K. W.; Larkum, A. W. & Jermiin, L. S. The molecular structure of the IsiA–Photosystem I supercomplex, modelled from high-resolution, crystal structures of Photosystem I and the CP43 protein Biochimica et Biophysica Acta (BBA)-Bioenergetics, Elsevier, 2010, 1797, 457-465

2009

Quanxi Shao and You-Gan Wang (2009), Statistical power calculation and sample size determination for environmental studies with data below detection limits. Water Resources Research 45, W09410. doi:10.1029/2008WR007563.

Zhanling Li, Zongxue Xu, Quanxi Shao and Jin Yang (2009). Parameter estimation and uncertainty analysis of SWAT model for upper reaches of the Heihe River basin. Hydrological Processes. 23: 2744-2753. DOI: 10.1002/hyp.7371.

You-Gan Wang, Quanxi Shao and Min Zhu (2009). Quantile regression without curse of unsmoothness. Computational Statistics and Data Analysis 53: 3696-3705, DOI: 10.1016/j.csda.2009.03.012.

Quanxi Shao, Lu Zhang, Yongqin David Chen & Vijay P. Singh (2009). A new method for modeling flow duration curves and predicting streamflow regimes under altered land use conditions. Hydrological Sciences Journal 54(3): 606-622.

Lu Zhang, Yongqin Chen, Klaus Hickel and Quanxi Shao (2009). Analysis of low flow characteristics for catchments in Dongjiang Basin. Hydrogeology Journal 17(3): 631-640. DOI: 10.1007/s10040-008-0386-y.

Quanxi Shao, Heung Wong, Ming Li and Wai-Cheung Ip (2009). Streamflow forecasting using functional-coefficient time series model with periodic variation. Journal of Hydrology 368: 88-95.

2008

Lu Zhang, Nick Potter, Klaus Hickel, Yongqiang Zhang, Quanxi Shao (2008). Water balance modeling over variable time scales based on the Budyko framework I: Model development and testing. Journal of Hydrology 360: 117– 131.

Wang, S, Q. Shao and X. Zhou (2008). “Knot-optimizing spline networks (KOSNETS) for nonparametric regression”. Journal of Industrial and Management Optimization 4(1): 33-52

Shao, Yonqin D. Chen and L. Zhang (2008). An extension of three-parameter Burr III distribution for low-flow frequency analysis. Computational Statistics and Data Analysis 52: 1304 – 1314. doi: 10.1016/j.csda.2007.06.014.

H Jin, J Chen, H He, GJ Williams, C Kelman, CM O’Keefe (2008) Mining unexpected temporal associations: applications in detecting adverse drug reactions. IEEE Transactions on Information Technology in Biomedicine 12 (4), 488-500

S Qiao, C Tang, H Jin, S Dai, X Chen (2008) Constrained k-closest pairs query processing based on growing window in crime databases. Intelligence and Security Informatics, 2008. ISI 2008. IEEE International .conference 58-63.

2007

Y. Li and Q. Shao (2007). A chaos phenomenon of the number of near-maxima for Burr XII distributions. Metrika 66 (1): 89-104. DOI: 10.1007/s00184-006-0096-1.

Hongxing Zheng, Lu Zhang, Changming Liu, Q. Shao and Yoshihiro Fukushima (2007). Changes in stream-flow regime of headwater catchments of the Yellow River Basin since the 1950s. Hydrological Processes 21, 886–893. DOI: 10.1002/hyp.6280.

H He, J Chen, H Jin, SH Chen (2007) Trading strategies based on k-means clustering and regression models. Computational Intelligence in Economics and Finance, 123-134

2006

Yongqin David Chen, Xi Chen, Chong-yu Xu and Quanxi Shao (2006). Downscaling of daily precipitation with stochastic weather generator for the subtropical region in South China. Hydrology and Earth System Sciences Discussion, 3, 1145-1183.

Shao, H. Wong, J. Xia and W.-C. Ip. (2006). Reply to “On extended Burr XII distribution”. Hydrological Sciences: Journal 51(6): 1204-1207.

Yongqin David Chen, Gouru Huang, Quanxi Shao and Chong-yu Xu (2006), Regional low flow frequency analysis using L-moments for Dongjiang Basin in China. Hydrologic Sciences Journal 51(6): 1051-1964.

J Chen, H Jin, H He, CM O’Keefe, R Sparks, G Williams, D McAullay (2006) Frequency-based Rare Events Mining in Administrative Health Data. electronic Journal of Health Informatics 1 (1), 4

J Chen, H He, H Jin, D McAullay, G Williams, C Kelman (2006) Identifying risk groups associated with colorectal cancer. Data Mining, 260-272

Lau, K. W. & FitzGerald, D. Ideal structure of the Kauffman and related monoids Communications in Algebratextregistered, Taylor & Francis, 2006, 34, 2617-2629

2005

H Jin, ML Wong, KS Leung (2005) Scalable model-based clustering for large databases based on data summarization. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (11), 1710-1719 …

Pre-2005

Shao and X. Zhou (2004), A New Parametric Model for Survival Data with Long-term Survivors. Statistics in Medicine 23:3525-3543.

Shao, H. Wong, J. Xia and W.-C. Ip. (2004). Models for extremes using the extended three-parameter Burr XII system with application to flood frequency analysis. Hydrological Sciences: Journal 49(4): 685-702.

Shao, W.-C. Ip and H. Wong (2004). Determination of Embedded Distributions. Computational Statistics and Data Analysis 46(2): 317-334.

Shao, (2004). Notes on maximum likelihood estimation for the three-parameter Burr XII distribution. Computational Statistics and Data Analysis 45(3): 675-687.

J. Syme, Q. Shao, M. Po, E. Campbell (2004). Predicting and understanding home garden water use. Landscape and Urban Planning 68: 121-128.

KS Leung, HD Jin, ZB Xu (2004) An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62, 267-292

H Jin, WH Shum, KS Leung, ML Wong (2004) Expanding self-organizing map for data visualization and cluster analysis. Information Sciences 163 (1), 157-173

Shao, Y. Li, E. Campbell, E.S. De Boer, E. Laginestra and A. Statzenko, Statistical Visualization for Data exploration: A Case Study on Sydney Olympic Park. Chemosphere 52: 1601-1614. (2003).

SHAO, QX (2003) Critical assessment of current water quality guidelines and potential further development. INSURANCE MATHEMATICS & ECONOMICS Volume: 32 Issue: 3 Pages: 470-470 Published: JUL 21 2003

HD Jin, KS Leung, ML Wong, ZB Xu (2003) An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33: 677-888.

Shao, Maximum likelihood estimation for generalized logistic distribution. Communication in Statistic – Theory and Method, 31(10), 1687-1700. (2002).

Shao, N.A. Campbell (2002), Modeling trends in groundwater levels by segmented regression with constraints. Australian & New Zealand Journal of Statistics, 44,129-141002.

Shao, A reparameterization method for embedded models. Communication in Statistic – Theory and Method, 31(5), 683-697. (2002).

ZB Xu, HD Jin, KS Leung, Y Leung, CK Wong (2002) An automata network for performing combinatorial optimization. Neurocomputing 47 (1), 59-83

H Jin, KS Leung, ML Wong, ZB Xu (2001) An integrated self-organizing map for the traveling salesman problem. Advances in Neural Networks and Applications, 235-240

Q.Shao, Estimation for hazardous concentrations based on NOEC toxicity data: An Alternative approach, Environmetrics. 11:583-595 (2000).

Q.Shao (1999) Some properties of an estimator of the basic reproduction number of the general epidemic model. Mathematical Biosciences. 159(1), 79-96

Patton, J. Carlin, Q. Shao, M. Hibbert, M. Rosier, R. Selzer and G. Bowes (1997) Adolescent dieting: Health weight control or borderline eating disorder, Journal of Child Psychology and Psychiatry, 38, No.3, 299-306,

Patton, M. Hibbert, J. Carlin, Q. Shao, M. Rosier, J. Caust and G. Bowes (1996) Menarche and the onset of depression and anxiety, Journal of Epidemiology and Community Health, 50, No.6, 661-666.

N.G. Becker and Q. Shao (1994)., A transmission model for a disease with some fatalities, Mathematical Biosciences.  124:  107-122.

 

Full Conference papers

Z.K. Luo, E. Wang, Q. Shao, J.A. Baldock (2013)  Uncertainty in modelled soil organic carbon changes under optimal management in Australian cropland. In Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 1673-1879. ISBN: 978-0-9872143-3-1.

Hongxing Zheng, QJ Wang, Kabir Aynul, Quanxi Shao, Daehyok Shin, and Narendra Tuteja (2013) Evaluation of Downscaled POAMA M24 for Monthly and 3-Monthly Streamflow Forecasts. In Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 2799-2805. ISBN: 978-0-9872143-3-1.

Quanxi Shao, QJ Wang and Louie Zhang (2013)  A stochastic weather generation method for temporal precipitation simulation. In Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 2681-2687. ISBN: 978-0-9872143-3-1.

G Pang, H Jin, S Jiang (2013) An effective class-centroid-based dimension reduction method for text classification. Proceedings of the 22nd International Conference on World Wide Web, 223-224

H Jin, L Zhang, L Du (2013) Semantic title evaluation and recommendation based on topic models. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 402-413

LJ Renzullo, D Collins, J Perraud, B Henderson, H Jin, A Smith (2013) Improving soil water representation in the Australian Water Resources Assessment landscape model through the assimilation of remotely-sensed soil moisture products. Proc. 20th MODSIM Congress, Adelaide, Aust, 2883-2889

Lehmann, E.; Phatak, A.; Soltyk, S.; Chia, J.; Lau, R. & Palmer, M. Bayesian hierarchical modelling of rainfall extremes 20th International Congress on Modelling and Simulation (MODSIM), 2013, 2506-2512

Julien Lerat, Luk Peeters and Quanxi Shao (2012). Towards the adoption of uncertainty assessment in water resources models: the eWater Source uncertainty guideline. Hydrology and water resources symposium 2012, Sydney 19-22 November 2012. Engineers Australia. Page 85-92.

L Du, W Buntine, H Jin (2012) Modelling Sequential Text with an Adaptive Topic Model. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning 535-545

Wang EL, Zheng HX, Chiew F, Shao Q, Luo J, Wang QJ (2011). Monthly and seasonal streamflow forecasts using rainfall-runoff modeling and POAMA predictions. In Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011, pp. 3441-3447. ISBN: 978-0-9872143-1-7. http://www.mssanz.org.au/modsim2011/I4/wang.pdf.

Jin H, Barry S, Paydar Z, Shao Q and van Dijk A (2011). Decision Tree Based Uncertainty Framework for Water Accounting. In Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2011, pp. 3861-3867. ISBN: 978-0-9872143-1-7. http://www.mssanz.org.au/modsim2011/I9/jin.pdf.

Julien Lerat, Kerrie Tomkins, Quanxi Shao, Luk Peeters, Ang Yang and David Rassam (2011) How to quantify uncertainty in water allocation models? In IAHS Publication 347 (red book): Risk in Water Resources Management 146-152. . XXV IUGG General Assembly Earth on the Edge: Science for a Sustainable Planet, Melbourne, 28 June-7 July 2011. IAHS.

Enli Wang, Hongxing Zheng, Quanxi Shao and QJ Wang (2011). Skill improvement through conditional model parameterisation and bias correction in seasonal streamflow forecasting. In WIRADA (2012) Water Information Research and Development Alliance: Science Symposium Proceedings, Melbourne, Australia, 1–5 August 2011. CSIRO: Water for a Healthy Country National Research Flagship. Pages: 230-233.

Quanxi Shao, Ming Li, Enli Wang and QJ Wang (2011) Downscaling of dynamic climate model predictions for hydrological application. In WIRADA (2012) Water Information Research and Development Alliance: Science Symposium Proceedings, Melbourne, Australia, 1–5 August 2011. CSIRO: Water for a Healthy Country National Research Flagship. Pages: 223-229.

L.J. Renzullo, A. Chappell, T. Raupach, P. Dyce, L. Ming, Q. Shao (2011). An Assessment of Statistically Blended Satellite-Gauge Precipitation Data for Daily Rainfall Analysis in Australia. 34th International Symposium on Remote Sensing of Environment. The GEOSS Era: Towards Operational Environmental Monitoring. Sydney, 10-15 April 2011 Australia. 4pp. http: //www.isprs.org/proceedings/2011/ ISRSE-34/211104015Final00266.pdf.

Tao Yang, Quanxi Shao, Vijay P. Singh and Limin Sun (2011). Problems of regional water security and possible countermeasures in a rapidly developing region of southern China. Hydrological Cycle and Water Resources Sustainability in Changing Environments (Proceedings of IWRM2010, Nanjing, China, November 2010). IAHS Publ. 350, 2011, 164-170.

H Jin, B Henderson (2011) Towards a Daily Soil Moisture Product based on Incomplete Time Series Observations of Two Satellites. 19th International Congress on Modelling and Simulation. 11, 1959-1965

Zhanling Li, Quanxi Shao, Zongxue Xu and Chong-Yu Xu (2010). Estimating parameter uncertainty in hydrological models using bootstrap method. In Wei-lin Xu, Tian-qi Ao and Xin-hua Zhang (eds) IAHS Publication 335 (red book): Hydrological Modelling and Integrated Water Resources Management in Ungauged Mountainous Watersheds, ISBN 978-1-907161-07-0. pp. 105-110.

H Jin, ML Wong (2010) Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms. Expert Systems With Applications 37 (12), 8462-8470

L Du, WL Buntine, H Jin (2010) Sequential latent dirichlet allocation: Discover underlying topic structures within a document. 2010 IEEE International Conference on Data Mining, 148-157

KN Tran, H Jin (2010) Detecting Network Anomalies in Mixed-Attribute Data Sets. Knowledge Discovery and Data Mining, 2010. WKDD’10. Third International . Conference 383-386

Quanxi Shao, Albert van Dijk, Simon Barry and Graham Turner (2009). Statistical Challenges in Water Use Accounting and Data Interpretation. In Anderssen, R.S., R.D. Braddock and L.T.H. Newham (eds) 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation, July 2009, pp. 3647-3653. ISBN: 978-0-9758400-7-8.

KN Tran, H Jin (2009) Fusion of decision tree and gaussian mixture models for heterogeneous data sets. Information and Multimedia Technology, 2009. ICIMT’09. International conference 160-164

K Zhang, M Hutter, H Jin (2009) A new local distance-based outlier detection approach for scattered real-world data. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 813-822

H Jin, O de Vel, K Zhang, N Liu (2008) Knowledge discovery from honeypot data for monitoring malicious attacks. Australasian Joint Conference on Artificial Intelligence, 470-481

PT Son, L Du, H Jin, O De Vel, N Liu, T Caelli (2008) A simple WordNet-ontology based email retrieval system for digital forensics. International Conference on Intelligence and Security Informatics, 217-228

L Du, H Jin, O De Vel, N Liu (2008) A latent semantic indexing and WordNet based information retrieval model for digital forensics. Intelligence and Security Informatics, 2008. ISI 2008. IEEE International conference 70-75.

Ip W.C., H. Wong, X. Jun, Y. Zhu and Q. Shao (2007). Input-output analysis of virtual water trade volume of Zhangye. In Oxley, L. and Kulasiri, D. (eds) MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, pp1980-1984. ISBN: 978-0-9758400-4-7. http://www.mssanz.org.au/MODSIM07/papers/34_s36/Input-Output_s36_Ip_.pdf. (SCI Indexed)

Y Lu, H Gardner, H Jin, N Liu, R Hawkins, I Farrington (2007) Interactive reconstruction of archaeological fragments in a collaborative environment. Digital Image Computing Techniques and Applications, 9th Biennial Conference .23-29.

B Jiang, H Jin, N Liu, M Quirk, B Searle (2007) A HMM-based hierarchical framework for long-term population projection of small areas. Australasian Joint Conference on Artificial Intelligence, 694-698

K Zhang, H Jin, Z Fu, N Liu (2007) Optimal learning high-order markov random fields priors of colour image. Asian Conference on Computer Vision, 482-491

HW Jin (2007) Practical issues on privacy-preserving health data mining. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 64-75

K Zhang, H Jin, N Liu, R Lesslie, L Wang, Z Fu, T Caelli (2007) Discovering prediction model for environmental distribution maps. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 99-109

H Jin, J Chen, H He, CM O’Keefe (2007) Privacy-preserving sequential pattern release. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 547-554

H He, H Jin, J Chen, D McAullay, J Li, T Fallon (2006) Analysis of breast feeding data using data mining methods. Proceedings of the fifth Australasian conference on Data mining and analystics-Volume 61: 47-52

H Jin, J Chen, C Kelman, H He, D McAullay, CM O’Keefe (2006) Mining unexpected associations for signalling potential adverse drug reactions from administrative health databases. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 867-876

Zhang, L., K. Hickel and Q. Shao (2005). Water balance modelling over variable time scales. In Zerger, A. and Argent, R.M. (eds) MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2005, pp. 2988-2994. ISBN: 0-9758400-2-9.

H He, H Jin, J Chen (2005) Automatic feature selection for classification of health data. Australasian Joint Conference on Artificial Intelligence, 910-913

J Chen, H He, J Li, H Jin, D McAullay, G Williams, R Sparks, C Kelman (2005) Representing association classification rules mined from health data. International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 1225-1231.

J Li, AW Fu, H He, J Chen, H Jin, D McAullay, G Williams, R Sparks (2005) Mining risk patterns in medical data. Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining 770-775

H Jin, KS Leung, ML Wong, ZB Xu (2005) Scalable model-based cluster analysis using clustering features. Pattern Recognition 38 (5), 637-649

D McAullay, G Williams, J Chen, H Jin, H He, R Sparks, C Kelman (2005) A delivery framework for health data mining and analytics. Proceedings of the Twenty-eighth Australasian conference on Computer Science- 38: 381-387

J Chen, H He, G Williams, H Jin (2004) Temporal sequence associations for rare events. Pacific-Asia Conference on Knowledge Discovery and Data Mining, 235-239

Lau, K. & FitzGerald, D. The Kauffman and related monoids 48th annual general meeting of the Australian Mathematical Society, 2004, 36-37

H Jin, ML Wong (2003) Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. Evolutionary Computation, 2003. CEC’03. The 2003 Congress on 4, 2498-2505

H Jin, ML Wong, KS Leung (2003) Scalable model-based clustering by working on data summaries. Data Mining, 2003. ICDM 2003. Third IEEE International Conference on, 91-98

H Jin, KS Leung, ML Wong (2002) Scaling-up model-based clustering algorithm by working on clustering features. International Conference on Intelligent Data Engineering and Automated Learning

569-575

WH Shum, HD Jin, KS Leung, ML Wong (2002) A self-organizing map with expanding force for data clustering and visualization. Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE International conference 434-441.

HD Jin, KS Leung, WM Leung (2001) Genetic-guided model-based clustering algorithms. Proc Int Conf Artif Intell 2, 653-659

 

Book Chapters:

Paul, R.; Jelsema, C. M. & Lau, K. W. A flexible class of reduced rank spatial models for large non-gaussain dataset Current Trends in Bayesian Methodology with Applications, Chapman and Hall/CRC, 2015, 477-502

Quanxi Shao, Wai Cheung Ip, Heung Wong, Jun Xia and Yizhong Zhu (2010). Estimation of virtual water trade volume by input-output analysis – a case study of Zhangye in Heihe Basin. In “Water Shortages: Environmental, Economic and Social Impacts” (ed by Andrew C. Briggs), Nova Science Publishing: New York. ISBN 978-1-61728-309-3 Call number: 2302.

Jermiin, L. S.; Ho, J. W. K.; Lau, K. W. & Jayaswal, V. SeqVis: a tool for detecting compositional heterogeneity among aligned nucleotide sequences Bioinformatics for DNA Sequence Analysis, Humana Press, 2009, 65-91

C.Z. Wu, C.M. Liu, K.L. Teo and Q. Shao (2008). A new two-stage method for nonparametric regression with jump points. In “Control of Chaos in Nonlinear Circuits and Systems” edited by Bingo Wing-Kuen LING, Herbert IU and Hak-Keung LAM, Scientific Series on Nonlinear Science, Series A, Vlo. 64. World Scientific Publishing, 2008. Chapter 4 p79-94. Call Number 2443.