Yanchang Zhao

72 papers A* 5A 2B 7C 2Misc 14Journal 18Unranked 24
YearRankTypeTitle / Venue / Authors
2026 Misc ed.
Data Science and Machine Learning - 22nd Australasian Conference, AusDM 2024, Melbourne, VIC, Australia, November 25-27, 2024, Proceedings
AusDM
Thirunavukarasu Balasubramaniam, Kewen Liao, Varvara Vetrova, Diana Benavides-Prado, Yee Ling Boo, Yanchang Zhao
2026 Misc ed.
Data Science and Machine Learning - 23rd Australasian Conference, AusDM 2025, Brisbane, QLD, Australia, November 26-28, 2025, Proceedings
AusDM
Quang Vinh Nguyen, Yuefeng Li, Paul Kwan, Yanchang Zhao, Yee Ling Boo, Richi Nayak
2026 J jnl
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach.
CoRR
Ge Lee, Shixun Huang, Zhifeng Bao, Felix Naumann, Shazia Sadiq, Yanchang Zhao
2025 A* conf
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction.
IJCAI
Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yun Chen, Yanchang Zhao
2025 Misc conf
Effective Missing-Data Imputation for Time Series with Seasonality and Causality.
AusDM
Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Tapas Biswas, Peter J. Toscas, Klaus Joehnk
2025 A conf
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction.
ECAI
Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen
2025 J jnl
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction.
CoRR
Wentao Gao, Jiuyong Li, Lin Liu, Thuc Duy Le, Xiongren Chen, Xiaojing Du, Jixue Liu, Yanchang Zhao, Yun Chen
2024 J jnl
A Deconfounding Approach to Climate Model Bias Correction.
CoRR
Wentao Gao, Jiuyong Li, Debo Cheng, Lin Liu, Jixue Liu, Thuc Duy Le, Xiaojing Du, Xiongren Chen, Yanchang Zhao, Yun Chen
2024 — conf
DBSSM: Deep BERT-Based Semantic Skill Matching from Resumes to a Public Skill Taxonomy.
AI (1)
Haohui Chen, Claire M. Mason, Qinyong Wang, Yanchang Zhao
2024 Misc conf
Effective River Water Temperature Forecasting with Transformer.
AusDM
Richard Reynaldo Wironoto Susilo, Yanchang Zhao, Reena Kapoor, Devesh Bhogal, Peter J. Toscas, Klaus Joehnk
2024 J jnl
Representative Time Series Discovery for Data Exploration.
Proc. VLDB Endow.
Ge Lee, Shixun Huang, Zhifeng Bao, Yanchang Zhao
2024 J jnl
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting.
CoRR
Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2024 — conf
TSI: A Multi-view Representation Learning Approach for Time Series Forecasting.
AI (1)
Wentao Gao, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le, Debo Cheng, Yanchang Zhao, Yun Chen
2023 — conf
A Comparative Study of Water Temperature Forecasting Methods.
WI/IAT
Devesh Bhogal, Yanchang Zhao, Reena Kapoor, Peter J. Toscas
2023 J jnl
A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration.
CoRR
Md. Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong, Md Zahidul Islam, Yanchang Zhao, Jeremy Groves, Rory Judith
2023 J jnl
A semi-automated hybrid schema matching framework for vegetation data integration.
Expert Syst. Appl.
Md. Asif-Ur-Rahman, Bayzid Ashik Hossain, Michael Bewong, Md Zahidul Islam, Yanchang Zhao, Jeremy Groves, Rory Judith
2023 A* conf
Facility Relocation Search For Good: When Facility Exposure Meets User Convenience.
WWW
Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao
2023 J jnl
Personalized Interventions to Increase the Employment Success of People With Disability.
IEEE Trans. Big Data
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2022 — conf
A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models.
ADMA (2)
Ray Lindsay, Yanchang Zhao
2022 Misc ed.
Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, Australia, December 12-15, 2022, Proceedings
AusDM
Laurence A. F. Park, Heitor Murilo Gomes, Maryam Doborjeh, Yee Ling Boo, Yun Sing Koh, Yanchang Zhao, Graham J. Williams, Simeon Simoff
2022 B conf
Decision Support for Disability Employment using Counterfactual Survival Analysis.
IEEE Big Data
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2022 — conf
Recommending Personalized Interventions to Increase Employability of Disabled Jobseekers.
PAKDD (3)
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2022 A* conf
What is the Most Effective Intervention to Increase Job Retention for this Disabled Worker?
KDD
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2021 — conf
A Framework for Duplicate Detection from Online Job Postings.
WI/IAT
Yanchang Zhao, Haohui Chen, Claire M. Mason
2021 Misc ed.
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
AusDM
Yue Xu, X. Rosalind Wang, Anton R. Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham J. Williams
2021 Misc conf
PostMatch: A Framework for Efficient Address Matching.
AusDM
Darren Yates, Md Zahidul Islam, Yanchang Zhao, Richi Nayak, Vladimir Estivill-Castro, Salil S. Kanhere
2021 A* conf
Recommending the Most Effective Intervention to Improve Employment for Job Seekers with Disability.
KDD
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2020 — conf
Intervention Recommendation for Improving Disability Employment.
IEEE BigData
Ha Xuan Tran, Thuc Duy Le, Jiuyong Li, Lin Liu, Jixue Liu, Yanchang Zhao, Tony Waters
2020 A* conf
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
WWW
Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung
2019 Misc ed.
Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, Australia, November 28-30, 2018, Revised Selected Papers
AusDM
Md. Rafiqul Islam, Yun Sing Koh, Yanchang Zhao, Warwick Graco, David Stirling, Chang-Tsun Li, Md Zahidul Islam
2019 Misc ed.
Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2-5, 2019, Proceedings
AusDM
Thuc Duy Le, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Lin Liu, Graham Williams
2019 — conf
Optimising Pump Scheduling for Water Distribution Networks.
Australasian Conference on Artificial Intelligence
Yanchang Zhao, Bin Liang, Yang Wang, Shaobo Dang, Ronnie Taib, Fang Chen, Tin Hua, Dammika Vitanage, Corinna Doolan
2019 — conf
Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning.
Australasian Conference on Artificial Intelligence
Marcus Suresh, Ronnie Taib, Yanchang Zhao, Warren Jin
2017 J jnl
Preface to the Special Section of Selected Papers from the Australasian Conference on Data Mining (AusDM) 2016.
Australas. J. Inf. Syst.
Kok-Leong Ong, Zahid Islam, Yanchang Zhao
2015 J jnl
Coupling Analysis Between Twitter and Call Centre.
CoRR
Fangfang Li, Yanchang Zhao, Klaus Felsche, Guandong Xu, Longbing Cao
2015 Misc ed.
Thirteenth Australasian Data Mining Conference, AusDM 2015, Sydney, Australia, August 2015
AusDM
Kok-Leong Ong, Yanchang Zhao, Md Glenn Stone, Md Zahidul Islam
2014 Misc ed.
Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, Australia, November 2014
AusDM
Xue Li, Lin Liu, Kok-Leong Ong, Yanchang Zhao
2012 Misc ed.
Tenth Australasian Data Mining Conference, AusDM 2012, Sydney, Australia, December 5-7, 2012
AusDM
Yanchang Zhao, Jiuyong Li, Paul J. Kennedy, Peter Christen
2011 — conf
Agent-Based Subspace Clustering.
PAKDD (2)
Chao Luo, Yanchang Zhao, Dan Luo, Chengqi Zhang, Wei Cao
2011 J jnl
Combined Mining: Discovering Informative Knowledge in Complex Data.
IEEE Trans. Syst. Man Cybern. Part B
Longbing Cao, Huaifeng Zhang, Yanchang Zhao, Dan Luo, Chengqi Zhang
2011 J jnl
Enhancing grid-density based clustering for high dimensional data.
J. Syst. Softw.
Yanchang Zhao, Jie Cao, Chengqi Zhang, Shichao Zhang
2011 A conf
e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning.
CIKM
Xiangjun Dong, Zhigang Zheng, Longbing Cao, Yanchang Zhao, Chengqi Zhang, Jinjiu Li, Wei Wei, Yuming Ou
2010 — conf
An Efficient GA-Based Algorithm for Mining Negative Sequential Patterns.
PAKDD (1)
Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
2010 J jnl
Flexible Frameworks for Actionable Knowledge Discovery.
IEEE Trans. Knowl. Data Eng.
Longbing Cao, Yanchang Zhao, Huaifeng Zhang, Dan Luo, Chengqi Zhang, Eun K. Park
2010 — conf
Less Effort, More Outcomes: Optimising Debt Recovery with Decision Trees.
ICDM Workshops
Yanchang Zhao, Hans Bohlscheid, Shanshan Wu, Longbing Cao
2010 — conf
The Discovery of Hierarchical Cluster Structures Assisted by a Visualization Technique.
ICONIP (1)
Ke-Bing Zhang, Mehmet A. Orgun, Yanchang Zhao, Abhaya C. Nayak
2009 J jnl
Customer Activity Sequence Classification for Debt Prevention in Social Security.
J. Comput. Sci. Technol.
Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009 C conf
Debt Detection in Social Security by Adaptive Sequence Classification.
KSEM
Shanshan Wu, Yanchang Zhao, Huaifeng Zhang, Chengqi Zhang, Longbing Cao, Hans Bohlscheid
2009 — conf
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns.
ECML/PKDD (2)
Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009 B conf
Mining Both Positive and Negative Impact-Oriented Sequential Rules from Transactional Data.
PAKDD
Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2009 Misc conf
Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns.
AusDM
Zhigang Zheng, Yanchang Zhao, Ziye Zuo, Longbing Cao
2008 J jnl
Activity Mining: from Activities to Actions.
Int. J. Inf. Technol. Decis. Mak.
Longbing Cao, Yanchang Zhao, Chengqi Zhang, Huaifeng Zhang
2008 B conf
Combined Association Rule Mining.
PAKDD
Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2008 — conf
Combined Pattern Mining: From Learned Rules to Actionable Knowledge.
Australasian Conference on Artificial Intelligence
Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008 — conf
Efficient Mining of Event-Oriented Negative Sequential Rules.
Web Intelligence
Yanchang Zhao, Huaifeng Zhang, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
2008 — conf
Exception Mining on Multiple Time Series in Stock Market.
Web Intelligence/IAT Workshops
Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Chengqi Zhang
2008 J jnl
Mining Impact-Targeted Activity Patterns in Imbalanced Data.
IEEE Trans. Knowl. Data Eng.
Longbing Cao, Yanchang Zhao, Chengqi Zhang
2008 B conf
Outlier Mining on Multiple Time Series Data in Stock Market.
PRICAI
Chao Luo, Yanchang Zhao, Longbing Cao, Yuming Ou, Li Liu
2007 — conf
Class Association Rule Mining with Multiple Imbalanced Attributes.
Australian Conference on Artificial Intelligence
Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang
2007 J jnl
DDDM2007: Domain Driven Data Mining.
SIGKDD Explor.
Longbing Cao, Chengqi Zhang, Yanchang Zhao, Philip S. Yu, Graham Williams
2007 — conf
Mining High Impact Exceptional Behavior Patterns.
PAKDD Workshops
Longbing Cao, Yanchang Zhao, Fernando Figueiredo, Yuming Ou, Dan Luo
2006 C conf
Adapting K-Means Algorithm for Discovering Clusters in Subspaces.
APWeb
Yanchang Zhao, Chengqi Zhang, Shichao Zhang, Lianwei Zhao
2006 Misc conf
Discovering Debtor Patterns of Centrelink Customers.
AusDM
Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang
2006 — conf
Efficient Frequent Itemsets Mining by Sampling.
AMT
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006 — conf
Enhancing DWT for Recent-Biased Dimension Reduction of Time Series Data.
Australian Conference on Artificial Intelligence
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2006 J jnl
Generalized Dimension-Reduction Framework for Recent-Biased Time Series Analysis.
IEEE Trans. Knowl. Data Eng.
Yanchang Zhao, Shichao Zhang
2006 B conf
Regularized Semi-supervised Classification on Manifold.
PAKDD
Lianwei Zhao, Siwei Luo, Yanchang Zhao, Lingzhi Liao, Zhihai Wang
2005 B conf
A Recent-Biased Dimension Reduction Technique for Time Series Data.
PAKDD
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2005 — conf
Construction Algorithm of Principal Curves in the Sense of Limit.
Australian Conference on Artificial Intelligence
Lianwei Zhao, Yanchang Zhao, Siwei Luo, Chao Shao
2004 — conf
Clustering High-Dimensional Data with Low-Order Neighbors.
Web Intelligence
Yanchang Zhao, Chengqi Zhang, Yi-Dong Shen
2004 — conf
Discovering Interesting Association Rules by Clustering.
Australian Conference on Artificial Intelligence
Yanchang Zhao, Chengqi Zhang, Shichao Zhang
2003 B conf
AGRID: An Efficient Algorithm for Clustering Large High-Dimensional Datasets.
PAKDD
Yanchang Zhao, Song Junde