Huidong Jin

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 7

Top Topics

Decision Support

Detect Anomalies

Top Venues

Knowl. Based Syst.

Comput. Electron. Agric.

Int. J. Distributed Sens. Networks

Publications

Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel
Deep Weakly-supervised Anomaly Detection. KDD (2023)
K. Shuvo Bakar, Huidong Jin, Brent Henderson, Robert G. V. Bramley, David L. Gobbett, Christina E. M. Ratcliff
An algorithm to identify the appropriate size of a neighbourhood when analysing spatially distributed field experiments by local cokriging. Comput. Electron. Agric. 188 (2021)
Pengcheng Hu, Scott C. Chapman, Huidong Jin, Yan Guo, Bangyou Zheng
Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes. Remote. Sens. 13 (14) (2021)
K. Shuvo Bakar, Huidong Jin
Areal prediction of survey data using Bayesian spatial generalised linear models. Commun. Stat. Simul. Comput. 49 (11) (2020)
Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163 (2019)
Hong Chi, Zhihong Lin, Huidong Jin, Baoguang Xu, Mingliang Qi
A decision support system for detecting serial crimes. Knowl. Based Syst. 123 (2017)
Guansong Pang, Kai Ming Ting, David W. Albrecht, Huidong Jin
ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. J. Artif. Intell. Res. 57 (2016)
Guansong Pang, Huidong Jin, Shengyi Jiang
CenKNN: a scalable and effective text classifier. Data Min. Knowl. Discov. 29 (3) (2015)
Shaojie Qiao, Huidong Jin, Yunjun Gao, Lu-An Tang, Huanlai Xing
Trajectory Data Mining in Distributed Sensor Networks. Int. J. Distributed Sens. Networks 11 (2015)
Huidong Jin, Lijiu Zhang, Lan Du
Semantic Title Evaluation and Recommendation Based on Topic Models. PAKDD (2) (2013)
Guansong Pang, Huidong Jin, Shengyi Jiang
An effective class-centroid-based dimension reduction method for text classification. WWW (Companion Volume) (2013)
Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen
Sequential latent Dirichlet allocation. Knowl. Inf. Syst. 31 (3) (2012)
Lan Du, Wray L. Buntine, Huidong Jin
Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL (2012)
Ke Zhang, Huidong Jin
An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data. Australasian Conference on Artificial Intelligence (2010)
Huidong Jin, Jie Chen, Hongxing He, Chris Kelman, Damien McAullay, Christine M. O'Keefe
Signaling Potential Adverse Drug Reactions from Administrative Health Databases. IEEE Trans. Knowl. Data Eng. 22 (6) (2010)
Shaojie Qiao, Changjie Tang, Huidong Jin, Jing Peng, Darren Davis, Nan Han
KISTCM: knowledge discovery system for traditional Chinese medicine. Appl. Intell. 32 (3) (2010)
Khoi-Nguyen Tran, Huidong Jin
Detecting Network Anomalies in Mixed-Attribute Data Sets. WKDD (2010)
Huidong Jin, Man-Leung Wong
Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms. Expert Syst. Appl. 37 (12) (2010)
Shaojie Qiao, Changjie Tang, Huidong Jin, Teng Long, Shucheng Dai, Yungchang Ku, Michael Chau
PutMode: prediction of uncertain trajectories in moving objects databases. Appl. Intell. 33 (3) (2010)
Jie Chen, Huidong Jin, Hongxing He, Damien McAullay, Christine M. O'Keefe, Ross Sparks, Chris Kelman
Mining consequence events in temporal health data. Intell. Data Anal. 14 (2) (2010)
Lan Du, Wray Lindsay Buntine, Huidong Jin
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. ICDM (2010)
Lan Du, Wray L. Buntine, Huidong Jin
A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. 81 (1) (2010)
Ke Zhang, Marcus Hutter, Huidong Jin
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD (2009)
Ke Zhang, Marcus Hutter, Huidong Jin
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data CoRR (2009)
Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops (2008)
Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI (2008)
Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe
Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Trans. Inf. Technol. Biomed. 12 (4) (2008)
Shaojie Qiao, Changjie Tang, Huidong Jin, Shucheng Dai, Xingshu Chen
Constrained k-closest pairs query processing based on growing window in crime databases. ISI (2008)
Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence (2008)
Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle
A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. Australian Conference on Artificial Intelligence (2007)
Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli
Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops (2007)
Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu
Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) (2007)
Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington
Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA (2007)
Huidong Jin
Practical Issues on Privacy-Preserving Health Data Mining. PAKDD Workshops (2007)
Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe
Privacy-Preserving Sequential Pattern Release. PAKDD (2007)
Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe
Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. PAKDD (2006)
Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen
Stock Trend Analysis and Trading Strategy. JCIS (2006)
Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon
Analysis of Breast Feeding Data Using Data Mining Methods. AusDM (2006)
Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu
Scalable model-based cluster analysis using clustering features. Pattern Recognit. 38 (5) (2005)
Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin
A Delivery Framework for Health Data Mining and Analytics. ACSC (2005)
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
Scalable Model-Based Clustering for Large Databases Based on Data Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 27 (11) (2005)
Hongxing He, Huidong Jin, Jie Chen
Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence (2005)
Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
Representing Association Classification Rules Mined from Health Data. KES (3) (2005)
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
Mining risk patterns in medical data. KDD (2005)
Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin
Temporal Sequence Associations for Rare Events. PAKDD (2004)
Kwong-Sak Leung, Huidong Jin, Zongben Xu
An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62 (2004)
Huidong Jin, Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
Expanding Self-Organizing Map for data visualization and cluster analysis. Inf. Sci. 163 (1-3) (2004)
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
Scalable Model-based Clustering by Working on Data Summaries. ICDM (2003)
Huidong Jin, Man-Leung Wong
Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2003)
Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Trans. Syst. Man Cybern. Part B 33 (6) (2003)
Wing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Leung Wong
A Self-Organizing Map with Expanding Force for Data Clustering and Visualization. ICDM (2002)
Zongben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong
An automata network for performing combinatorial optimization. Neurocomputing 47 (1-4) (2002)
Huidong Jin, Kwong-Sak Leung, Man Leung Wong
Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. IDEAL (2002)
Huidong Jin, Kwong-Sak Leung, Man Leung Wong
Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms. GECCO (2000)