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ORCIDHuidong Jin 0001
Person information
- affiliation: CSIRO Data Mining Research, Canberra, ACT, Australia
- affiliation (former): National ICT Australia (NICTA), Canberra Lab, ACT, Australia
- affiliation (PhD 2002): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Warren Jin 0002 — University of California at Santa Barbara, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
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2020 – today
- 2023
[c33]Huidong Jin, Yaozhong Liu, Quanxi Shao, Ming Li:
Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation. ICKG 2023: 152-159- [c32]Guansong Pang
, Chunhua Shen, Huidong Jin, Anton van den Hengel:
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807 - 2021
- [j23]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: 106328 (2021) - [j22]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): 2827 (2021) - 2020
- [j21]K. Shuvo Bakar, Huidong Jin:
Areal prediction of survey data using Bayesian spatial generalised linear models. Commun. Stat. Simul. Comput. 49(11): 2963-2978 (2020)
2010 – 2019
- 2019
- [j20]Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu:
Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. 163: 57-68 (2019) - [c31]Marcus Suresh, Ronnie Taib, Yanchang Zhao, Warren Jin:
Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning. Australasian Conference on Artificial Intelligence 2019: 215-227 - [e1]Thuc Duy Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams:
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings. Communications in Computer and Information Science 1127, Springer 2019, ISBN 978-981-15-1698-6 [contents] - 2018
- [j19]Zihong Yin, Dehui Kong, Guoxia Shao, Xinran Ning, Warren Jin, Jingyan Wang:
A-optimal convolutional neural network. Neural Comput. Appl. 30(7): 2295-2304 (2018) - 2017
- [j18]Hong Chi, Zhihong Lin, Huidong Jin, Baoguang Xu, Mingliang Qi:
A decision support system for detecting serial crimes. Knowl. Based Syst. 123: 88-101 (2017) - 2016
- [j17]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: 593-620 (2016) - 2015
- [j16]Guansong Pang, Huidong Jin, Shengyi Jiang:
CenKNN: a scalable and effective text classifier. Data Min. Knowl. Discov. 29(3): 593-625 (2015) - [j15]Shaojie Qiao, Huidong Jin, Yunjun Gao, Lu-An Tang, Huanlai Xing:
Trajectory Data Mining in Distributed Sensor Networks. Int. J. Distributed Sens. Networks 11: 913165:1-913165:3 (2015) - 2013
- [c30]Huidong Jin, Lijiu Zhang, Lan Du:
Semantic Title Evaluation and Recommendation Based on Topic Models. PAKDD (2) 2013: 402-413 - [c29]Guansong Pang, Huidong Jin, Shengyi Jiang:
An effective class-centroid-based dimension reduction method for text classification. WWW (Companion Volume) 2013: 223-224 - 2012
- [j14]Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen:
Sequential latent Dirichlet allocation. Knowl. Inf. Syst. 31(3): 475-503 (2012) - [c28]Lan Du, Wray L. Buntine, Huidong Jin:
Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL 2012: 535-545 - 2010
- [j13]Shaojie Qiao, Changjie Tang, Huidong Jin, Jing Peng, Darren Davis, Nan Han:
KISTCM: knowledge discovery system for traditional Chinese medicine. Appl. Intell. 32(3): 346-363 (2010) - [j12]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): 370-386 (2010) - [j11]Huidong Jin, Man-Leung Wong:
Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms. Expert Syst. Appl. 37(12): 8462-8470 (2010) - [j10]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): 245-261 (2010) - [j9]Lan Du, Wray L. Buntine, Huidong Jin:
A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. 81(1): 5-19 (2010) - [j8]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): 839-853 (2010) - [c27]Ke Zhang, Huidong Jin:
An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data. Australasian Conference on Artificial Intelligence 2010: 122-131 - [c26]Lan Du, Wray Lindsay Buntine, Huidong Jin:
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. ICDM 2010: 148-157 - [c25]Khoi-Nguyen Tran, Huidong Jin:
Detecting Network Anomalies in Mixed-Attribute Data Sets. WKDD 2010: 383-386 - [p2]Shaojie Qiao, Changjie Tang, Huidong Jin, Shucheng Dai, Xingshu Chen, Michael Chau, Jian Hu:
Processing Constrained k-Closest Pairs Queries in Crime Databases. Security Informatics 2010: 59-75
2000 – 2009
- 2009
- [c24]Ke Zhang, Marcus Hutter, Huidong Jin:
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD 2009: 813-822 - [i1]Ke Zhang, Marcus Hutter, Huidong Jin:
A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. CoRR abs/0903.3257 (2009) - 2008
- [j7]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): 488-500 (2008) - [c23]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: 470-481 - [c22]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: 58-63 - [c21]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: 70-75 - [c20]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: 217-228 - 2007
- [c19]Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu:
Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) 2007: 482-491 - [c18]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 - [c17]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 - [c16]Huidong Jin:
Practical Issues on Privacy-Preserving Health Data Mining. PAKDD Workshops 2007: 64-75 - [c15]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 - [c14]Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe:
Privacy-Preserving Sequential Pattern Release. PAKDD 2007: 547-554 - 2006
- [c13]Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon:
Analysis of Breast Feeding Data Using Data Mining Methods. AusDM 2006: 47-52 - [c12]Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen:
Stock Trend Analysis and Trading Strategy. JCIS 2006 - [c11]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 - [p1]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
- [j6]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) - [j5]Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu:
Scalable model-based cluster analysis using clustering features. Pattern Recognit. 38(5): 637-649 (2005) - [c10]Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin:
A Delivery Framework for Health Data Mining and Analytics. ACSC 2005: 381-390 - [c9]Hongxing He, Huidong Jin, Jie Chen:
Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence 2005: 910-913 - [c8]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 - [c7]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 - 2004
- [j4]Kwong-Sak Leung, Huidong Jin, Zongben Xu:
An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62: 267-292 (2004) - [j3]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) - [c6]Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin:
Temporal Sequence Associations for Rare Events. PAKDD 2004: 235-239 - 2003
- [j2]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): 877-888 (2003) - [c5]Huidong Jin, Man-Leung Wong:
Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2003: 2498-2505 - [c4]Huidong Jin, Man Leung Wong, Kwong-Sak Leung:
Scalable Model-based Clustering by Working on Data Summaries. ICDM 2003: 91-98 - 2002
- [j1]Zongben 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) - [c3]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 - [c2]Huidong Jin, Kwong-Sak Leung, Man Leung Wong:
Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. IDEAL 2002: 569-575 - 2000
- [c1]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
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