| 2025 | ACL | AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions. | Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang, Jordan Bannister, Mirko Bronzi, Arsne Fansi Tchango, Md. Abul Bashar, Richi Nayak, Kerrie L. Mengersen |
| 2025 | AusDM | Unveiling Reliability in Multi-omics Classification: Fusion, Calibration, and Dynamic Scaling. | Dang Khoa Nguyen, Duoyi Zhang, Md. Abul Bashar, Richi Nayak |
| 2025 | AusDM | Precision to Costing: Budgeted Modelling for Customer Contact Prediction. | Ho Sing Tin, Richi Nayak, Darren Wraith |
| 2025 | AusDM | Evaluating Cross-Lingual Classification Approaches Enabling Topic Discovery for Multilingual Social Media Data. | Deepak Uniyal, Md. Abul Bashar, Richi Nayak |
| 2025 | AusDM | Temporal Fusion of Biophysical and Climate Data: A Data-Driven Hybrid Learning Approach for Short-Term Aboveground Biomass Forecasting. | Han Xu, Thirunavukarasu Balasubramaniam, Richi Nayak |
| 2024 | AusDM | Generative Agents as Reliable Proxies for Human Evaluation of AI-Generated Content. | Thanh Vu, Richi Nayak, Thiru Balasubramaniam |
| 2024 | AusDM | Enhancing AI Safety in the Public Sector: A Field Experiment on Guardrails Leveraging LLMs for State Government Employees. | Yue Wang, Duoyi Zhang, Xiangrui Kong, Marco Fahmi, Richi Nayak |
| 2024 | AusDM | Topic Models Meet LLMs: Generating Insightful Questions from User Feedback. | Duoyi Zhang, Yue Wang, Richi Nayak, Md. Abul Bashar |
| 2023 | PAKDD | Enhanced Topic Modeling with Multi-modal Representation Learning. | Duoyi Zhang, Yue Wang, Md. Abul Bashar, Richi Nayak |
| 2023 | WISE | GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. | Ahmed Shoeb Talukder, Richi Nayak, Md. Abul Bashar |
| 2022 | AusDM | A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. | Sharon Torao-Pingi, Md. Abul Bashar, Richi Nayak |
| 2021 | AusDM | Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. | Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak |
| 2021 | AusDM | Deep Learning for Bias Detection: From Inception to Deployment. | Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai |
| 2021 | AusDM | A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. | Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson |
| 2021 | AusDM | Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. | Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak |
| 2021 | AusDM | PostMatch: A Framework for Efficient Address Matching. | Darren Yates, Md Zahidul Islam, Yanchang Zhao, Richi Nayak, Vladimir Estivill-Castro, Salil S. Kanhere |
| 2021 | AusDM | Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. | Duoyi Zhang, Richi Nayak, Md. Abul Bashar |
| 2021 | WISE | NOCOL - Nonnegative Orthogonal Constraint Outlier Learning. | Thirunavukarasu Balasubramaniam, Wathsala Anupama Mohotti, Richi Nayak, Chau Yuen |
| 2020 | ICDE | A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. | Khanh Luong, Richi Nayak |
| 2020 | ICONIP | Unsupervised Visual Time-Series Representation Learning and Clustering. | Gaurangi Anand, Richi Nayak |
| 2020 | ICONIP | Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text. | Wathsala Anupama Mohotti, Richi Nayak |
| 2019 | AusDM | Data Replication Optimization Using Simulated Annealing. | Chee Keong Wee, Richi Nayak |
| 2019 | PKAW | Adaptive Database's Performance Tuning Based on Reinforcement Learning. | Chee Keong Wee, Richi Nayak |
| 2019 | PRICAI | Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering. | Wathsala Anupama Mohotti, Darren Christopher Lukas, Richi Nayak |
| 2019 | PRICAI | Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. | Tennakoon Mudiyanselage Gayani Tennakoon, Khanh Luong, Wathsala Anupama Mohotti, Sharma Chakravarthy, Richi Nayak |
| 2019 | PRICAI | Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining. | Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen |
| 2019 | WWW | Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. | A. B. M. Moniruzzaman, Richi Nayak, Maolin Tang, Balasubramaniam Thirunavukarasu |
| 2019 | WISE | Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization. | Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen |
| 2018 | ACIIDS | A Novel Load Forecasting System Leveraging Database Technology. | Chee Keong Wee, Richi Nayak |
| 2018 | ACIIDS | A Novel Database Exploitation Detection and Privilege Control System Using Data Mining. | Chee Keong Wee, Richi Nayak |
| 2018 | AusDM | Misogynistic Tweet Detection: Modelling CNN with Small Datasets. | Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir |
| 2018 | AusDM | A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating. | Hendi Lie, Darren Lukas, Jonathan Liebig, Richi Nayak |
| 2018 | AusDM | An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities. | Chee Keong Wee, Richi Nayak |
| 2018 | ICDE | Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data. | Khanh Luong, Richi Nayak |
| 2018 | ICDM | Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization. | Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen |
| 2018 | ICIS | Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement. | Malmi Amadoru, Erwin Fielt, Marek Kowalkiewicz, Richi Nayak |
| 2018 | ICTAI | Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions. | Gaurangi Anand, Richi Nayak |
| 2018 | ICTAI | Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection. | Wathsala Anupama Mohotti, Richi Nayak |
| 2018 | ICTAI | A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions. | T. M. G. Tennakoon, Richi Nayak |
| 2018 | PAKDD | An Efficient Ranking-Centered Density-Based Document Clustering Method. | Wathsala Anupama Mohotti, Richi Nayak |
| 2018 | WISE | A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation. | Khanh Luong, Balasubramaniam Thirunavukarasu, Richi Nayak |
| 2017 | PERCOM | Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data. | Billy Pik Lik Lau, Marakkalage Sumudu Hasala, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Richi Nayak |
| 2017 | WISE | Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method. | Hendi Lie, Richi Nayak, Gordon F. Wyeth |
| 2016 | DICTA | Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification. | Alan Woodley, Timothy Chappell, Shlomo Geva, Richi Nayak |
| 2016 | WSDM | How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model. | Noor Ifada, Richi Nayak |
| 2015 | ICDE | Robust clustering of multi-type relational data via a heterogeneous manifold ensemble. | Jun Hou, Richi Nayak |
| 2015 | PAKDD | Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems. | Noor Ifada, Richi Nayak |
| 2015 | WWW | Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. | Christopher Michael De Vries, Lance De Vine, Shlomo Geva, Richi Nayak |
| 2015 | WISE | FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form. | Israt Jahan Chowdhury, Richi Nayak |
| 2015 | WISE | Semi-supervised Document Clustering via Loci. | Taufik Sutanto, Richi Nayak |
| 2014 | AusDM | Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm. | Israt Jahan Chowdhury, Richi Nayak |
| 2014 | AusDM | An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation. | Noor Ifada, Richi Nayak |
| 2014 | AusDM | Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors. | Yeshey Peden, Richi Nayak |
| 2014 | AusDM | A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection. | Gavin Shaw, Richi Nayak |
| 2014 | CIKM | Injury Narrative Text Classification: A Preliminary Study. | Lin Chen, Kirsten Vallmuur, Richi Nayak |
| 2014 | CIKM | Two-way Recommendation Methods for Social Networks. | Richi Nayak |
| 2014 | CIKM | Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters. | Richi Nayak, Rachel Mills, Christopher M. De Vries, Shlomo Geva |
| 2014 | DASFAA | The Ranking Based Constrained Document Clustering Method and Its Application to Social Event Detection. | Taufik Sutanto, Richi Nayak |
| 2014 | PRICAI | BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees. | Israt Jahan Chowdhury, Richi Nayak |
| 2014 | WWW | Tensor-based item recommendation using probabilistic ranking in social tagging systems. | Noor Ifada, Richi Nayak |
| 2014 | WISE | BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees. | Israt Jahan Chowdhury, Richi Nayak |
| 2014 | WISE | Mining Discriminative Itemsets in Data Streams. | Majid Seyfi, Shlomo Geva, Richi Nayak |
| 2013 | ICTAI | A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs. | Reza Hassanzadeh, Richi Nayak |
| 2013 | KDD | A data mining driven risk profiling method for road asset management. | Daniel Emerson, Justin Weligamage, Richi Nayak |
| 2013 | SAC | Users segmentations for recommendation. | Lin Chen, Richi Nayak, Sangeetha Kutty, Yue Xu |
| 2013 | SAC | A semi-supervised graph-based algorithm for detecting outliers in online-social-networks. | Reza Hassanzadeh, Richi Nayak |
| 2013 | WISE | A Novel Method for Finding Similarities between Unordered Trees Using Matrix Data Model. | Israt Jahan Chowdhury, Richi Nayak |
| 2013 | WISE | The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documents. | Jun Hou, Richi Nayak |
| 2012 | ADCS | Finding additional semantic entity information for search engines. | Jun Hou, Richi Nayak, Jinglan Zhang |
| 2012 | IIWAS | A data analytics application assessing pavement deflection factors for a road network. | Richi Nayak, Rakesh Rawat, Justin Weligamage |
| 2012 | SAC | A common neighbour based two-way collaborative recommendation method. | Lin Chen, Richi Nayak, Yue Xu |
| 2012 | SAC | A people-to-people recommendation system using tensor space models. | Sangeetha Kutty, Lin Chen, Richi Nayak |
| 2012 | WISE | Analyzing the Effectiveness of Graph Metrics for Anomaly Detection in Online Social Networks. | Reza Hassanzadeh, Richi Nayak, Douglas Stebila |
| 2011 | APWEB | Improving Matching Process in Social Network Using Implicit and Explicit User Information. | Slah Alsaleh, Richi Nayak, Yue Xu, Lin Chen |
| 2011 | APWEB | Effective Hybrid Recommendation Combining Users-Searches Correlations Using Tensors. | Rakesh Rawat, Richi Nayak, Yuefeng Li |
| 2011 | APWEB | Aggregate Distance Based Clustering Using Fibonacci Series-FIBCLUS. | Rakesh Rawat, Richi Nayak, Yuefeng Li, Slah Alsaleh |
| 2011 | DASFAA | Assessment of Cardiovascular Disease Risk Prediction Models: Evaluation Methods. | Richi Nayak, Ellen Pitt |
| 2011 | EDBT | Road crash proneness prediction using data mining. | Richi Nayak, Daniel Emerson, Justin Weligamage, Noppadol Piyatrapoomi |
| 2011 | EDBT | The hidden web, XML and the Semantic Web: scientific data management perspectives. | Fabian M. Suchanek, Aparna S. Varde, Richi Nayak, Pierre Senellart |
| 2011 | PAKDD | XML Documents Clustering Using a Tensor Space Model. | Sangeetha Kutty, Richi Nayak, Yuefeng Li |
| 2011 | PAKDD | Utilizing Past Relations and User Similarities in a Social Matching System. | Richi Nayak |
| 2010 | CIKM | Personalized recommender system based on item taxonomy and folksonomy. | Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak |
| 2010 | ICDM | Improving Matching Process in Social Network. | Lin Chen, Richi Nayak, Yue Xu |
| 2010 | ICDM | XML Documents Clustering Using Tensor Space Model -- A Preliminary Study. | Sangeetha Kutty, Richi Nayak, Yuefeng Li |
| 2010 | ICDM | A Social Matching System for an Online Dating Network: A Preliminary Study. | Richi Nayak, Meng Zhang, Lin Chen |
| 2010 | ICWE | Combining Schema and Level-Based Matching for Web Service Discovery. | Alsayed Algergawy, Richi Nayak, Norbert Siegmund, Veit Kppen, Gunter Saake |
| 2009 | CIKM | XCFS: an XML documents clustering approach using both the structure and the content. | Sangeetha Kutty, Richi Nayak, Yuefeng Li |
| 2009 | DASFAA | Knowledge Discovery over the Deep Web, Semantic Web and XML. | Aparna S. Varde, Fabian M. Suchanek, Richi Nayak, Pierre Senellart |
| 2009 | DocEng | HCX: an efficient hybrid clustering approach for XML documents. | Sangeetha Kutty, Richi Nayak, Yuefeng Li |
| 2009 | PAKDD | Thai Word Segmentation with Hidden Markov Model and Decision Tree. | Poramin Bheganan, Richi Nayak, Yue Xu |
| 2008 | AusDM | Clustering and Classification of Maintenance Logs using Text Data Mining. | Brett Edwards, Michael Zatorsky, Richi Nayak |
| 2008 | AusDM | Combining Structure and Content Similarities for XML Document Clustering. | Tien Tran, Richi Nayak, Peter Bruza |
| 2008 | DASFAA | An Interactive Predictive Data Mining System for Informed Decision. | Esther Ge, Richi Nayak |
| 2008 | DASFAA | A User Driven Data Mining Process Model and Learning System. | Esther Ge, Richi Nayak, Yue Xu, Yuefeng Li |
| 2008 | ICTAI | Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making. | Li-Tung Weng, Yue Xu, Yuefeng Li, Richi Nayak |
| 2008 | WISE | Improving Web Service Discovery by Using Semantic Models. | Aishwarya Bose, Richi Nayak, Peter Bruza |
| 2007 | AusDM | A Case Study of Failure Mode Analysis with Text Mining Methods. | Lin Chen, Richi Nayak |
| 2007 | AusDM | PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees. | Sangeetha Kutty, Richi Nayak, Yuefeng Li |
| 2007 | AusDM | Temporal Pattern Matching for the Prediction of Stock Prices. | Richi Nayak, Paul te Braak |
| 2007 | AusDM | The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset. | Ellen Pitt, Richi Nayak |
| 2007 | KSEM | Ontology Mining for Semantic Interpretation of Information Needs. | Xiaohui Tao, Yuefeng Li, Richi Nayak |
| 2006 | APWEB | XMine: A Methodology for Mining XML Structure. | Richi Nayak, Wina Iryadi |
| 2006 | AusDM | Data Mining For Lifetime Prediction of Metallic Components. | Esther Ge, Richi Nayak, Yue Xu, Yuefeng Li |
| 2006 | AusDM | Data Mining in Conceptualising Active Ageing. | Richi Nayak, Laurie Buys, Jan Lovie-Kitchin |
| 2006 | ICDM | Influencing Factors in Achieving Active Ageing. | Richi Nayak, Laurie Buys, Jan Lovie-Kitchin |
| 2006 | PAKDD | XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents. | Richi Nayak, Sumei Xu |
| 2005 | IDEAL | Generating Predicate Rules from Neural Networks. | Richi Nayak |
| 2004 | IIWAS | Automatic integration of Heterogenous XML-schemas. | Richi Nayak, Fu Bo Xia |
| 2004 | WISE | Applications of Data Mining in Web Services. | Richi Nayak, Cindy Tong |