Huidong Jin

2007
24	EE	Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu: Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) 2007: 482-491
23	EE	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: 694-698
22	EE	Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington: Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA 2007: 23-29
21	EE	Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe: Privacy-Preserving Sequential Pattern Release. PAKDD 2007: 547-554
20	EE	Huidong Jin: Practical Issues on Privacy-Preserving Health Data Mining. PAKDD Workshops 2007: 64-75
19	EE	Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli: Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops 2007: 99-109
2006
18	EE	Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen: Stock Trend Analysis and Trading Strategy. JCIS 2006
17	EE	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: 867-876
16	EE	Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman: Identifying Risk Groups Associated with Colorectal Cancer. Selected Papers from AusDM 2006: 260-272
2005
15	EE	Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin: A Delivery Framework for Health Data Mining and Analytics. ACSC 2005: 381-390
14	EE	Hongxing He, Huidong Jin, Jie Chen: Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence 2005: 910-913
13	EE	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: 770-775
12	EE	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: 1225-1231
11	EE	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): 1710-1719 (2005)
10	EE	Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zong-Ben Xu: Scalable model-based cluster analysis using clustering features. Pattern Recognition 38(5): 637-649 (2005)
2004
9	EE	Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin: Temporal Sequence Associations for Rare Events. PAKDD 2004: 235-239
8	EE	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): 157-173 (2004)
7	EE	Kwong-Sak Leung, Huidong Jin, Zong-Ben Xu: An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62: 267-292 (2004)
2003
6	EE	Huidong Jin, Man Leung Wong, Kwong-Sak Leung: Scalable Model-based Clustering by Working on Data Summaries. ICDM 2003: 91-98
5		Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zong-Ben Xu: An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(6): 877-888 (2003)
2002
4	EE	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: 434-441
3	EE	Huidong Jin, Kwong-Sak Leung, Man Leung Wong: Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. IDEAL 2002: 569-575
2	EE	Zong-Ben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong: An automata network for performing combinatorial optimization. Neurocomputing 47(1-4): 59-83 (2002)
2000
1		Huidong Jin, Kwong-Sak Leung, Man Leung Wong: Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms. GECCO 2000: 1079

Coauthor Index

1	Terry Caelli (Terry M. Caelli)	[19]
2	Jie Chen	[9] [12] [13] [14] [15] [16] [17] [18] [21]
3	Shu-Heng Chen	[18]
4	Ian Farrington	[22]
5	Ada Wai-Chee Fu	[13]
6	Zhouyu Fu	[19] [24]
7	Henry Gardner	[22]
8	Rhys Hawkins	[22]
9	Hongxing He	[9] [12] [13] [14] [16] [17] [18] [21]
10	Bin Jiang	[23]
11	Chris Kelman	[12] [13] [16] [17]
12	Rob Lesslie	[19]
13	Kwong-Sak Leung	[1] [2] [3] [4] [5] [6] [7] [8] [10] [11]
14	Yee Leung	[2]
15	Jiuyong Li	[12] [13]
16	Nianjun Liu	[19] [22] [23] [24]
17	Yifan Lu	[22]
18	Damien McAullay	[12] [13] [15] [16] [17]
19	Christine M. O'Keefe	[17] [21]
20	Mike Quirk	[23]
21	Ben Searle	[23]
22	Wing-Ho Shum	[4] [8]
23	Ross Sparks	[12] [13]
24	Lei Wang	[19]
25	Graham J. Williams	[9] [12] [13] [15] [16]
26	Chak-Kuen Wong (C. K. Wong)	[2]
27	Man Leung Wong	[1] [3] [4] [5] [6] [8] [10] [11]
28	Zong-Ben Xu	[2] [5] [7] [10]
29	Ke Zhang	[19] [24]

Colors in the list of coauthors