Huidong Jin - RankMe

60 papers A* 6A 1B 5C 3Misc 2Journal 24Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs. AAAI Xinyang Chen, Huidong Jin, Yu Huang, Zaiwen Feng
2026	J	`jnl`	XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs. CoRR Xinyang Chen, Huidong Jin, Yu Huang, Zaiwen Feng
2025	—	`conf`	Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. PAKDD (6) Amelia Genova, Huidong Jin, John A. Taylor, Joel Janek Dabrowski, Peter J. Toscas, Klaus Joehnk
2023	A*	`conf`	Deep Weakly-supervised Anomaly Detection. KDD Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel
2023	—	`conf`	Postprocessing Ensemble Forecasts with Generative Adversarial Networks for Daily Precipitation. ICKG Huidong Jin, Yaozhong Liu, Quanxi Shao, Ming Li
2021	J	`jnl`	An algorithm to identify the appropriate size of a neighbourhood when analysing spatially distributed field experiments by local cokriging. Comput. Electron. Agric. K. Shuvo Bakar, Huidong Jin, Brent Henderson, Robert G. V. Bramley, David L. Gobbett, Christina E. M. Ratcliff
2021	J	`jnl`	Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes. Remote. Sens. Pengcheng Hu, Scott C. Chapman, Huidong Jin, Yan Guo, Bangyou Zheng
2020	J	`jnl`	Areal prediction of survey data using Bayesian spatial generalised linear models. Commun. Stat. Simul. Comput. K. Shuvo Bakar, Huidong Jin
2019	J	`jnl`	Kernelized Elastic Net Regularization based on Markov selective sampling. Knowl. Based Syst. Weijian Chen, Chen Xu, Bin Zou, Huidong Jin, Jie Xu
2017	J	`jnl`	A decision support system for detecting serial crimes. Knowl. Based Syst. Hong Chi, Zhihong Lin, Huidong Jin, Baoguang Xu, Mingliang Qi
2016	J	`jnl`	ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. J. Artif. Intell. Res. Guansong Pang, Kai Ming Ting, David W. Albrecht, Huidong Jin
2015	J	`jnl`	CenKNN: a scalable and effective text classifier. Data Min. Knowl. Discov. Guansong Pang, Huidong Jin, Shengyi Jiang
2015	J	`jnl`	Trajectory Data Mining in Distributed Sensor Networks. Int. J. Distributed Sens. Networks Shaojie Qiao, Huidong Jin, Yunjun Gao, Lu-An Tang, Huanlai Xing
2013	—	`conf`	An effective class-centroid-based dimension reduction method for text classification. WWW (Companion Volume) Guansong Pang, Huidong Jin, Shengyi Jiang
2013	—	`conf`	Semantic Title Evaluation and Recommendation Based on Topic Models. PAKDD (2) Huidong Jin, Lijiu Zhang, Lan Du
2012	—	`conf`	Modelling Sequential Text with an Adaptive Topic Model. EMNLP-CoNLL Lan Du, Wray L. Buntine, Huidong Jin
2012	J	`jnl`	Sequential latent Dirichlet allocation. Knowl. Inf. Syst. Lan Du, Wray L. Buntine, Huidong Jin, Changyou Chen
2010	J	`jnl`	A segmented topic model based on the two-parameter Poisson-Dirichlet process. Mach. Learn. Lan Du, Wray L. Buntine, Huidong Jin
2010	J	`jnl`	Adaptive, convergent, and diversified archiving strategy for multiobjective evolutionary algorithms. Expert Syst. Appl. Huidong Jin, Man-Leung Wong
2010	—	`conf`	An Effective Pattern Based Outlier Detection Approach for Mixed Attribute Data. Australasian Conference on Artificial Intelligence Ke Zhang, Huidong Jin
2010	—	`conf`	Detecting Network Anomalies in Mixed-Attribute Data Sets. WKDD Khoi-Nguyen Tran, Huidong Jin
2010	J	`jnl`	KISTCM: knowledge discovery system for traditional Chinese medicine. Appl. Intell. Shaojie Qiao, Changjie Tang, Huidong Jin, Jing Peng, Darren Davis, Nan Han
2010	J	`jnl`	Mining consequence events in temporal health data. Intell. Data Anal. Jie Chen, Huidong Jin, Hongxing He, Damien McAullay, Christine M. O'Keefe, Ross Sparks, Chris Kelman
2010	—	`ch.`	Processing Constrained Security Informatics Shaojie Qiao, Changjie Tang, Huidong Jin, Shucheng Dai, Xingshu Chen, Michael Chau, Jian Hu
2010	J	`jnl`	PutMode: prediction of uncertain trajectories in moving objects databases. Appl. Intell. Shaojie Qiao, Changjie Tang, Huidong Jin, Teng Long, Shucheng Dai, Yungchang Ku, Michael Chau
2010	A*	`conf`	Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document. ICDM Lan Du, Wray Lindsay Buntine, Huidong Jin
2010	J	`jnl`	Signaling Potential Adverse Drug Reactions from Administrative Health Databases. IEEE Trans. Knowl. Data Eng. Huidong Jin, Jie Chen, Hongxing He, Chris Kelman, Damien McAullay, Christine M. O'Keefe
2009	J	`jnl`	A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data CoRR Ke Zhang, Marcus Hutter, Huidong Jin
2009	B	`conf`	A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data. PAKDD Ke Zhang, Marcus Hutter, Huidong Jin
2008	—	`conf`	A Simple WordNet-Ontology Based Email Retrieval System for Digital Forensics. ISI Workshops Phan Thien Son, Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu, Terry Caelli
2008	C	`conf`	A latent semantic indexing and WordNet based information retrieval model for digital forensics. ISI Lan Du, Huidong Jin, Olivier Y. de Vel, Nianjun Liu
2008	C	`conf`	Constrained k-closest pairs query processing based on growing window in crime databases. ISI Shaojie Qiao, Changjie Tang, Huidong Jin, Shucheng Dai, Xingshu Chen
2008	—	`conf`	Knowledge Discovery from Honeypot Data for Monitoring Malicious Attacks. Australasian Conference on Artificial Intelligence Huidong Jin, Olivier Y. de Vel, Ke Zhang, Nianjun Liu
2008	J	`jnl`	Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions. IEEE Trans. Inf. Technol. Biomed. Huidong Jin, Jie Chen, Hongxing He, Graham J. Williams, Chris Kelman, Christine M. O'Keefe
2007	—	`conf`	A HMM-Based Hierarchical Framework for Long-Term Population Projection of Small Areas. Australian Conference on Artificial Intelligence Bin Jiang, Huidong Jin, Nianjun Liu, Mike Quirk, Ben Searle
2007	—	`conf`	Discovering Prediction Model for Environmental Distribution Maps. PAKDD Workshops Ke Zhang, Huidong Jin, Nianjun Liu, Rob Lesslie, Lei Wang, Zhouyu Fu, Terry Caelli
2007	Misc	`conf`	Interactive Reconstruction of Archaeological Fragments in a Collaborative Environment. DICTA Yifan Lu, Henry Gardner, Huidong Jin, Nianjun Liu, Rhys Hawkins, Ian Farrington
2007	—	`conf`	Optimal Learning High-Order Markov Random Fields Priors of Colour Image. ACCV (1) Ke Zhang, Huidong Jin, Zhouyu Fu, Nianjun Liu
2007	—	`conf`	Practical Issues on Privacy-Preserving Health Data Mining. PAKDD Workshops Huidong Jin
2007	B	`conf`	Privacy-Preserving Sequential Pattern Release. PAKDD Huidong Jin, Jie Chen, Hongxing He, Christine M. O'Keefe
2006	Misc	`conf`	Analysis of Breast Feeding Data Using Data Mining Methods. AusDM Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon
2006	—	`ch.`	Identifying Risk Groups Associated with Colorectal Cancer. Selected Papers from AusDM Jie Chen, Hongxing He, Huidong Jin, Damien McAullay, Graham J. Williams, Chris Kelman
2006	B	`conf`	Mining Unexpected Associations for Signalling Potential Adverse Drug Reactions from Administrative Health Databases. PAKDD Huidong Jin, Jie Chen, Chris Kelman, Hongxing He, Damien McAullay, Christine M. O'Keefe
2006	—	`conf`	Stock Trend Analysis and Trading Strategy. JCIS Hongxing He, Jie Chen, Huidong Jin, Shu-Heng Chen
2005	—	`conf`	A Delivery Framework for Health Data Mining and Analytics. ACSC Damien McAullay, Graham J. Williams, Jie Chen, Huidong Jin
2005	—	`conf`	Automatic Feature Selection for Classification of Health Data. Australian Conference on Artificial Intelligence Hongxing He, Huidong Jin, Jie Chen
2005	A*	`conf`	Mining risk patterns in medical data. KDD Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
2005	—	`conf`	Representing Association Classification Rules Mined from Health Data. KES (3) Jie Chen, Hongxing He, Jiuyong Li, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman
2005	J	`jnl`	Scalable Model-Based Clustering for Large Databases Based on Data Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Huidong Jin, Man Leung Wong, Kwong-Sak Leung
2005	J	`jnl`	Scalable model-based cluster analysis using clustering features. Pattern Recognit. Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu
2004	J	`jnl`	An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing Kwong-Sak Leung, Huidong Jin, Zongben Xu
2004	J	`jnl`	Expanding Self-Organizing Map for data visualization and cluster analysis. Inf. Sci. Huidong Jin, Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
2004	B	`conf`	Temporal Sequence Associations for Rare Events. PAKDD Jie Chen, Hongxing He, Graham J. Williams, Huidong Jin
2003	B	`conf`	Adaptive diversity maintenance and convergence guarantee in multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation Huidong Jin, Man-Leung Wong
2003	J	`jnl`	An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Trans. Syst. Man Cybern. Part B Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu
2003	A*	`conf`	Scalable Model-based Clustering by Working on Data Summaries. ICDM Huidong Jin, Man Leung Wong, Kwong-Sak Leung
2002	A*	`conf`	A Self-Organizing Map with Expanding Force for Data Clustering and Visualization. ICDM Wing-Ho Shum, Huidong Jin, Kwong-Sak Leung, Man Leung Wong
2002	J	`jnl`	An automata network for performing combinatorial optimization. Neurocomputing Zongben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong
2002	C	`conf`	Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features. IDEAL Huidong Jin, Kwong-Sak Leung, Man Leung Wong
2000	A	`conf`	Designing an Expanded SOM for the Traveling Salesman Problem by Genetic Algorithms. GECCO Huidong Jin, Kwong-Sak Leung, Man Leung Wong