Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong (GECCO, 2000)

A Self-Organizing Map with Expanding Force for Data Clustering and Visualization. - Wing-Ho Shum; Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong (ICDM, 2002)

Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong (IDEAL, 2002)

An automata network for performing combinatorial optimization. - Zongben Xu; Huidong Jin 001; Kwong-Sak Leung; Yee Leung; Chak-Kuen Wong (Neurocomputing, 2002)

Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. - Huidong Jin 001; Man-Leung Wong (IEEE Congress on Evolutionary Computation, 2003)

Scalable Model-based Clustering by Working on Data Summaries. - Huidong Jin 001; Man Leung Wong; Kwong-Sak Leung (ICDM, 2003)

An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong; Zongben Xu (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Temporal Sequence Associations for Rare Events. - Jie Chen 004; Hongxing He; Graham J. Williams; Huidong Jin 001 (PAKDD, 2004)

An expanding self-organizing neural network for the traveling salesman problem. - Kwong-Sak Leung; Huidong Jin 001; Zongben Xu (Neurocomputing, 2004)

Expanding Self-Organizing Map for data visualization and cluster analysis. - Huidong Jin 001; Wing-Ho Shum; Kwong-Sak Leung; Man Leung Wong (Inf. Sci., 2004)

A Delivery Framework for Health Data Mining and Analytics. - Damien McAullay; Graham J. Williams; Jie Chen 004; Huidong Jin 001 (ACSC, 2005)

Automatic Feature Selection for Classification of Health Data. - Hongxing He; Huidong Jin 001; Jie Chen 004 (Australian Conference on Artificial Intelligence, 2005)

Mining risk patterns in medical data. - Jiuyong Li; Ada Wai-Chee Fu; Hongxing He; Jie Chen 004; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KDD, 2005)

Representing Association Classification Rules Mined from Health Data. - Jie Chen 004; Hongxing He; Jiuyong Li; Huidong Jin 001; Damien McAullay; Graham J. Williams; Ross Sparks; Chris Kelman (KES (3), 2005)

Scalable Model-Based Clustering for Large Databases Based on Data Summarization. - Huidong Jin 001; Man Leung Wong; Kwong-Sak Leung (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Scalable model-based cluster analysis using clustering features. - Huidong Jin 001; Kwong-Sak Leung; Man Leung Wong; Zongben Xu (Pattern Recognit., 2005)

Identifying Risk Groups Associated with Colorectal Cancer. - Jie Chen 004; Hongxing He; Huidong Jin 001; Damien McAullay; Graham J. Williams; Chris Kelman (Selected Papers from AusDM, 2006)

Analysis of Breast Feeding Data Using Data Mining Methods. - Hongxing He; Huidong Jin 001; Jie Chen 004; Damien McAullay; Jiuyong Li; Tony Fallon (AusDM, 2006)

Stock Trend Analysis and Trading Strategy. - Hongxing He; Jie Chen 004; Huidong Jin 001; Shu-Heng Chen (JCIS, 2006)

Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. - Huidong Jin 001; Jie Chen 004; Chris Kelman; Hongxing He; Damien McAullay; Christine M. O'Keefe (PAKDD, 2006)

Optimal Learning High-Order Markov Random Fields Priors of Colour Image. - Ke Zhang; Huidong Jin 001; Zhouyu Fu; Nianjun Liu (ACCV (1), 2007)

A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. - Bin Jiang; Huidong Jin 001; Nianjun Liu; Mike Quirk; Ben Searle (Australian Conference on Artificial Intelligence, 2007)

Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. - Yifan Lu; Henry Gardner; Huidong Jin 001; Nianjun Liu; Rhys Hawkins; Ian Farrington (DICTA, 2007)

Practical Issues on Privacy-Preserving Health Data Mining. - Huidong Jin 001 (PAKDD Workshops, 2007)

Privacy-Preserving Sequential Pattern Release. - Huidong Jin 001; Jie Chen 004; Hongxing He; Christine M. O'Keefe (PAKDD, 2007)

Discovering Prediction Model for Environmental Distribution Maps. - Ke Zhang; Huidong Jin 001; Nianjun Liu; Rob Lesslie; Lei Wang 001; Zhouyu Fu; Terry Caelli (PAKDD Workshops, 2007)

Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. - Huidong Jin 001; Olivier Y. de Vel; Ke Zhang; Nianjun Liu (Australasian Conference on Artificial Intelligence, 2008)

A latent semantic indexing and WordNet based information retrieval model for digital forensics. - Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu (ISI, 2008)

Constrained k-closest pairs query processing based on growing window in crime databases. - Shaojie Qiao; Changjie Tang; Huidong Jin 001; Shucheng Dai; Xingshu Chen (ISI, 2008)

A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. - Phan Thien Son; Lan Du 002; Huidong Jin 001; Olivier Y. de Vel; Nianjun Liu; Terry Caelli (ISI Workshops, 2008)

Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. - Huidong Jin 001; Jie Chen 004; Hongxing He; Graham J. Williams; Chris Kelman; Christine M. O'Keefe (IEEE Trans. Inf. Technol. Biomed., 2008)

A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. - Ke Zhang; Marcus Hutter; Huidong Jin 001 (PAKDD, 2009)

An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data. - Ke Zhang; Huidong Jin 001 (Australasian Conference on Artificial Intelligence, 2010)

Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. - Lan Du 002; Wray Lindsay Buntine; Huidong Jin 001 (ICDM, 2010)

Detecting Network Anomalies in Mixed-Attribute Data Sets. - Khoi-Nguyen Tran; Huidong Jin 001 (WKDD, 2010)

PutMode: prediction of uncertain trajectories in moving objects databases. - Shaojie Qiao; Changjie Tang; Huidong Jin 001; Teng Long; Shucheng Dai; Yungchang Ku; Michael Chau (Appl. Intell., 2010)

KISTCM: knowledge discovery system for traditional Chinese medicine. - Shaojie Qiao; Changjie Tang; Huidong Jin 001; Jing Peng; Darren Davis; Nan Han (Appl. Intell., 2010)

Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms. - Huidong Jin 001; Man-Leung Wong (Expert Syst. Appl., 2010)

Mining consequence events in temporal health data. - Jie Chen 004; Huidong Jin 001; Hongxing He; Damien McAullay; Christine M. O'Keefe; Ross Sparks; Chris Kelman (Intell. Data Anal., 2010)

A segmented topic model based on the two-parameter Poisson-Dirichlet process. - Lan Du 002; Wray L. Buntine; Huidong Jin 001 (Mach. Learn., 2010)

Signaling Potential Adverse Drug Reactions from Administrative Health Databases. - Huidong Jin 001; Jie Chen 004; Hongxing He; Chris Kelman; Damien McAullay; Christine M. O'Keefe (IEEE Trans. Knowl. Data Eng., 2010)

Processing Constrained k-Closest Pairs Queries in Crime Databases. - Shaojie Qiao; Changjie Tang; Huidong Jin 001; Shucheng Dai; Xingshu Chen; Michael Chau; Jian Hu (Security Informatics, 2010)

Modelling Sequential Text with an Adaptive Topic Model. - Lan Du 002; Wray L. Buntine; Huidong Jin 001 (EMNLP-CoNLL, 2012)

Sequential latent Dirichlet allocation. - Lan Du 002; Wray L. Buntine; Huidong Jin 001; Changyou Chen (Knowl. Inf. Syst., 2012)

Semantic Title Evaluation and Recommendation Based on Topic Models. - Huidong Jin 001; Lijiu Zhang; Lan Du 002 (PAKDD (2), 2013)

An effective class-centroid-based dimension reduction method for text classification. - Guansong Pang; Huidong Jin 001; Shengyi Jiang (WWW (Companion Volume), 2013)

CenKNN: a scalable and effective text classifier. - Guansong Pang; Huidong Jin 001; Shengyi Jiang (Data Min. Knowl. Discov., 2015)

Trajectory Data Mining in Distributed Sensor Networks. - Shaojie Qiao; Huidong Jin 001; Yunjun Gao; Lu-An Tang; Huanlai Xing (Int. J. Distributed Sens. Networks, 2015)

ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. - Guansong Pang; Kai Ming Ting; David W. Albrecht; Huidong Jin 001 (J. Artif. Intell. Res., 2016)

A decision support system for detecting serial crimes. - Hong Chi; Zhihong Lin; Huidong Jin 001; Baoguang Xu; Mingliang Qi 001 (Knowl. Based Syst., 2017)

A-optimal convolutional neural network. - Zihong Yin; Dehui Kong; Guoxia Shao; Xinran Ning; Warren Jin 001; Jingyan Wang (Neural Comput. Appl., 2018)

Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning. - Marcus Suresh; Ronnie Taib; Yanchang Zhao; Warren Jin 001 (Australasian Conference on Artificial Intelligence, 2019)

Kernelized Elastic Net Regularization based on Markov selective sampling. - Weijian Chen; Chen Xu 007; Bin Zou 002; Huidong Jin 001; Jie Xu 006 (Knowl. Based Syst., 2019)

Areal prediction of survey data using Bayesian spatial generalised linear models. - K. Shuvo Bakar; Huidong Jin 001 (Commun. Stat. Simul. Comput., 2020)

An algorithm to identify the appropriate size of a neighbourhood when analysing spatially distributed field experiments by local cokriging. - K. Shuvo Bakar; Huidong Jin 001; Brent Henderson; Robert G. V. Bramley; David L. Gobbett; Christina E. M. Ratcliff (Comput. Electron. Agric., 2021)

Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes. - Pengcheng Hu; Scott C. Chapman; Huidong Jin 001; Yan Guo; Bangyou Zheng (Remote. Sens., 2021)

Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation. - Huidong Jin 001; Yaozhong Liu; Quanxi Shao; Ming Li (ICKG, 2023)

Deep Weakly-supervised Anomaly Detection. - Guansong Pang; Chunhua Shen; Huidong Jin 001; Anton van den Hengel (KDD, 2023)

Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. - Amelia Genova; Huidong Jin 001; John A. Taylor; Joel Janek Dabrowski; Peter J. Toscas; Klaus Joehnk (PAKDD (6), 2025)