| 2026 | EACL | Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System. | Necva Blc, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan |
| 2026 | EACL | MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments. | Roelien C. Timmer, Necva Blc, Stephen Wan |
| 2026 | ICTIR | To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity. | Jessica Irons, Patrick S. Cooper, Necva Blc, Andreas Duenser, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Stephen Wan |
| 2025 | CIKM | PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature. | Maciej Rybinski, Necva Blc, Huichen Yang, Stephen Wan |
| 2025 | EMNLP | A Position Paper on the Automatic Generation of Machine Learning Leaderboards. | Roelien C. Timmer, Yufang Hou, Stephen Wan |
| 2024 | EMNLP | Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter. | Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns |
| 2024 | NAACL | What Causes the Failure of Explicit to Implicit Discourse Relation Recognition? | Wei Liu, Stephen Wan, Michael Strube |
| 2023 | EMNLP | impact of sample selection on in-context learning for entity extraction from scientific writing. | Necva Blc, Maciej Rybinski, Stephen Wan |
| 2023 | IJCNLP | Rethinking the Role of Entity Type in Relation Classification. | Xiang Dai, Sarvnaz Karimi, Stephen Wan |
| 2023 | SIGIR | SciHarvester: Searching Scientific Documents for Numerical Values. | Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Ccile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth |
| 2022 | COLING | Investigating Metric Diversity for Evaluating Long Document Summarisation. | Cai Yang, Stephen Wan |
| 2021 | ACL | Mention Flags (MF): Constraining Transformer-based Text Generators. | Yufei Wang, Ian D. Wood, Stephen Wan, Mark Dras, Mark Johnson |
| 2021 | EACL | ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning. | Yufei Wang, Ian D. Wood, Stephen Wan, Mark Johnson |
| 2021 | NAACL | Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction. | Ian D. Wood, Mark Johnson, Stephen Wan |
| 2020 | AAAI | 'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. | Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Ccile Paris, C. Raina MacIntyre |
| 2020 | ICWSM | Social Media Relevance Filtering Using Perplexity-Based Positive-Unlabelled Learning. | Sunghwan Mac Kim, Stephen Wan, Ccile Paris, Andreas Duenser |
| 2019 | ACL | How to Best Use Syntax in Semantic Role Labelling. | Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang |
| 2019 | PRICAI | Towards Generating Stylized Image Captions via Adversarial Training. | Omid Mohamad Nezami, Mark Dras, Stephen Wan, Ccile Paris, Len Hamey |
| 2017 | ACL | Demographic Inference on Twitter using Recursive Neural Networks. | Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Ccile Paris |
| 2017 | WWW | Twitter Content Eliciting User Engagement: A Case Study on Australian Organisations. | Sunghwan Mac Kim, Kyo Kageura, James McHugh, Surya Nepal, Ccile Paris, Bella Robinson, Ross Sparks, Stephen Wan |
| 2017 | WWW | Distinguishing Individuals from Organisations on Twitter. | Sunghwan Mac Kim, Ccile Paris, Robert Power, Stephen Wan |
| 2016 | ADCS | Occupational Representativeness in Twitter. | Sunghwan Mac Kim, Stephen Wan, Ccile Paris |
| 2016 | NAACL | Data61-CSIRO systems at the CLPsych 2016 Shared Task. | Sunghwan Mac Kim, Yufei Wang, Stephen Wan, Ccile Paris |
| 2015 | IRI | Social Media Data Aggregation and Mining for Internet-Scale Customer Relationship Management. | Stephen Wan, Ccile Paris, Dimitrios Georgakopoulos |
| 2015 | ICWSM | Understanding Public Emotional Reactions on Twitter. | Stephen Wan, Ccile Paris |
| 2014 | IUI | Improving government services with social media feedback. | Stephen Wan, Ccile Paris |
| 2012 | ICWSM | Differences in Language and Style Between Two Social Media Communities. | Ccile Paris, Paul Thomas, Stephen Wan |
| 2011 | CHI | Listening to the community: social media monitoring tasks for improving government services. | Ccile Paris, Stephen Wan |
| 2010 | EACL | Spanning Tree Approaches for Statistical Sentence Generation. | Stephen Wan, Mark Dras, Robert Dale, Ccile Paris |
| 2009 | EACL | Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument Satisfaction Model. | Stephen Wan, Mark Dras, Robert Dale, Ccile Paris |
| 2008 | ACL | In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context. | Stephen Wan, Ccile Paris |
| 2008 | EMNLP | Seed and Grow: Augmenting Statistically Generated Summary Sentences using Schematic Word Patterns. | Stephen Wan, Robert Dale, Mark Dras, Ccile Paris |
| 2007 | ACL | GLEU: Automatic Evaluation of Sentence-Level Fluency. | Andrew Mutton, Mark Dras, Stephen Wan, Robert Dale |
| 2004 | COLING | Generating Overview Summaries of Ongoing Email Thread Discussions. | Stephen Wan, Kathy McKeown |
| 2002 | ISCC | Executions of "home applications" and service customisations in Integrated Personal Mobility Architecture. | Binh Thai, Stephen Wan, Aruna Seneviratne |
| 1998 | ACL | Automatic English-Chinese Name Transliteration for Development of Multilingual Resources. | Stephen Wan, Cornelia Verspoor |