Publications

Publications

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  • Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, and Mark Sanderson. 2025. A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 4014–4023. https://doi.org/10.1145/3746252.3761382
  • Theresia Veronika Rampisela, Maria Maistro, Tuukka Ruotsalo, Falk Scholer, and Christina Lioma. 2025. Stairway to Fairness: Connecting Group and Individual Fairness. In Proceedings of the Nineteenth ACM Conference on Recommender Systems (RecSys '25). Association for Computing Machinery, New York, NY, USA, 677–683. https://doi.org/10.1145/3705328.3748031
  • Julian A. Schnabel, Johanne R. Trippas, Falk Scholer, and Danula Hettiachchi. 2025. Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment. In Companion Proceedings of the ACM on Web Conference 2025 (WWW '25). Association for Computing Machinery, New York, NY, USA, 1288–1292. https://doi.org/10.1145/3701716.3715488
  • Marwah Alaofi, Paul Thomas, Falk Scholer, and Mark Sanderson. 2024. LLMs can be Fooled into Labelling a Document as Relevant: best café near me; this paper is perfectly relevant. In Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP 2024). Association for Computing Machinery, New York, NY, USA, 32–41. https://doi.org/10.1145/3673791.3698431
  • Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas, Danula Hettiachchi, Flora D. Salim, Falk Scholer, and Damiano Spina. 2024. Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search. In Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction (MobileHCI '24 Adjunct). Association for Computing Machinery, New York, NY, USA, Article 10, 1–10. https://doi.org/10.1145/3640471.3680245

  • Burke, Liam; McIntyre, Joanna; Balanzategui, Jess; Baker, Djoymi (2022). Parents’ Perspectives on Australian Children’s Television in the Streaming Era. Swinburne. Report. https://doi.org/10.26185/xxt0-d294
  • Nansen, B., & Balanzategui, J. (2022). Visual tactility: ‘Oddly satisfying’ videos, sensory genres and ambiguities in children’s YouTube. Convergence: The International Journal of Research into New Media Technologies, 28(6), 1555-1576. https://doi.org/10.1177/13548565221105196 (Original work published 2022)
  • Balanzategui, J. (2021). ‘Disturbing’ children’s YouTube genres and the algorithmic uncanny. New Media & Society, 25(12), 3521-3542. https://doi.org/10.1177/14614448211049264 (Original work published 2023)
  • Baker, D. (2025) ‘Producers’ Perspectives on Australian Children’s Television in the Streaming
    Era’. RMIT University. doi: 10.25916/sut.28467497
  • Balanzategui J, Burke L, McIntyre J. ‘What would Bandit do?’: reaffirming the educational role of Australian children’s television during the COVID-19 pandemic and beyond. Media International Australia. 2021 Feb;178(1):54–62. doi: 10.1177/1329878X20948272. PMCID: PMC8280553.

  • Nannan Huang, Haytham M. Fayek, and Xiuzhen Zhang. 2025. Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 18005–18029, Suzhou, China. Association for Computational Linguistics. DOI 10.18653/v1/2025.emnlp-main.909
  • H. M. Fayek and J. Johnson, "Temporal Reasoning via Audio Question Answering," in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28, pp. 2283-2294, 2020, doi: 10.1109/TASLP.2020.3010650.
  • Large scale audiovisual learning of sounds with weakly labeled data.
    In 29th International Joint Conference on Artificial Intelligence (IJCAI), Yokohama, Japan, Jul 2020. https://doi.org/10.24963/ijcai.2020/78
  • Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu, Progressive learning: A deep learning framework for continual learning, Neural Networks, Volume 128, 2020, Pages 345-357, https://doi.org/10.1016/j.neunet.2020.05.011.

  • Buchanan, G., McKay, D. (2026). Blowin’ in the Wind: The Challenges of Archiving Social Media for Digital Humanities Research. In: Balke, WT., Golub, K., Manolopoulos, Y., Stefanidis, K., Zhang, Z. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2025. Lecture Notes in Computer Science, vol 16097. Springer, Cham. https://doi.org/10.1007/978-3-032-05409-8_20
  • Rashika Bahl, Shanton Chang, George Buchanan, Dana McKay, Marc Cheong, Everyone, everyday, everywhere: Designing a quantitative measure of information behaviors, Telematics and Informatics Reports, Volume 19, 2025,100238, ISSN 2772-5030, https://doi.org/10.1016/j.teler.2025.100238.
  • Jiaman He, Zikang Leng, Dana McKay, Johanne R. Trippas, and Damiano Spina. 2025. Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data. In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25). Association for Computing Machinery, New York, NY, USA, 2602–2606. https://doi.org/10.1145/3726302.3730174
  • Yimin Chen, Dana McKay, Kate Anderson, and Ronny Andrade. 2025. Inclusive and Accessible Bystander Interventions for Technology Facilitated Sexual Violence. In Companion Proceedings of the ACM on Web Conference 2025 (WWW '25). Association for Computing Machinery, New York, NY, USA, 2772–2775. https://doi.org/10.1145/3701716.3716879
  • McKay, D., Twidale, M., & Buchanan, G. (2025). Not all who wander are lost: an argument for searching to browse as a separate information behaviour. Information Research an International Electronic Journal, 30(CoLIS), 525–539. https://doi.org/10.47989/ir30CoLIS52351

  • Damiano Spina, Mark Sanderson, Daniel Angus, Gianluca Demartini, Dana Mckay, Lauren L. Saling, and Ryen W. White. 2023. Human-AI Cooperation to Tackle Misinformation and Polarization. Commun. ACM 66, 7 (July 2023), 40–45. https://doi.org/10.1145/3588431
  • Damiano Spina, Mark Sanderson, Daniel Angus, Gianluca Demartini, Dana Mckay, Lauren L. Saling, and Ryen W. White. 2023. Human-AI Cooperation to Tackle Misinformation and Polarization. Commun. ACM 66, 7 (July 2023), 40–45. https://doi.org/10.1145/3588431
  • Damiano Spina, Danula Hettiachchi, Anthony McCosker (2024). Quantifying and Measuring Bias and Engagement in Automated Decision-Making. ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). https://doi.org/10.60836/k8xh-en92
  • Weronika Łajewska, Damiano Spina, Johanne Trippas, and Krisztian Balog. 2024. Explainability for Transparent Conversational Information-Seeking. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24). Association for Computing Machinery, New York, NY, USA, 1040–1050. https://doi.org/10.1145/3626772.3657768
  • Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, and Damiano Spina. 2024. Characterizing Information Seeking Processes with Multiple Physiological Signals. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24). Association for Computing Machinery, New York, NY, USA, 1006–1017. https://doi.org/10.1145/3626772.3657793

  • Adapting Generative Information Retrieval Systems to Users, Tasks, and Scenarios. In Ryen W. White and Chirag Shah, editors, Information Access in the Era of Generative AI. Springer Nature, 2025. (https://doi.org/10.1007/978-3-031-73147-1_4
  • Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). In SIGIR Forum, 59(1), 2025. (doi.org/10.1145/3769733.3769739)
  • Conversational Search. In Omar Alonso and Ricardo Baeza-Yates, editors, Information Retrieval: Advanced Topics and Techniques. ACM, 2024. (https://doi.org/10.1145/3674127.3674135)
  • What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24), 2024. (https://doi.org/10.1145/3626772.3657914)
  • Re-evaluating the Command-and-Control Paradigm in Conversational Search Interactions. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24), 2024. (https://doi.org/10.1145/3627673.3679588)

  • Adapting Generative Information Retrieval Systems to Users, Tasks, and Scenarios. In Ryen W. White and Chirag Shah, editors, Information Access in the Era of Generative AI. Springer Nature, 2025. (https://doi.org/10.1007/978-3-031-73147-1_4
  • Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). In SIGIR Forum, 59(1), 2025. (doi.org/10.1145/3769733.3769739)
  • Conversational Search. In Omar Alonso and Ricardo Baeza-Yates, editors, Information Retrieval: Advanced Topics and Techniques. ACM, 2024. (https://doi.org/10.1145/3674127.3674135)
  • What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the Wild. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24), 2024. (https://doi.org/10.1145/3626772.3657914)
  • Re-evaluating the Command-and-Control Paradigm in Conversational Search Interactions. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24), 2024. (https://doi.org/10.1145/3627673.3679588)

  • Huang N, Fayek H, Zhang XJ. Bias in opinion summarisation from pre-training to adaptation: A case study in political bias. InProceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) 2024 Mar (pp. 1041-1055).
    https://aclanthology.org/2024.eacl-long.63.pdf
  • Tang A, Zhang XJ, Dinh M. Aspect-based key point analysis for quantitative summarization of reviews. InFindings of the Association for Computational Linguistics: EACL 2024 2024 Mar (pp. 1419-1433). https://aclanthology.org/anthology-files/anthology-files/pdf/findings/2024.findings-eacl.96.pdf
  • Tian L, Zhang X, Lau JH. Metatroll: Few-shot detection of state-sponsored trolls with transformer adapters. InProceedings of the ACM Web Conference 2023 2023 Apr 30 (pp. 1743-1753).
  • https://dl.acm.org/doi/pdf/10.1145/3543507.3583417
  • Xu X, Deng K, Dann M, Zhang X. Harnessing network effect for fake news mitigation: Selecting debunkers via self-imitation learning. InProceedings of the AAAI Conference on Artificial Intelligence 2024 Mar 24 (Vol. 38, No. 20, pp. 22447-22456).
    https://ojs.aaai.org/index.php/AAAI/article/view/30252
  • Tay W, Zhang X, Karimi S. Beyond mean rating: Probabilistic aggregation of star ratings based on helpfulness. Journal of the Association for Information Science and Technology. 2020 Jul;71(7):784-99.
  • https://asistdl.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/asi.24297

  • Jongebloed, H., Anderson, K., Winter, N. et al. The digital divide in rural and regional communities: a survey on the use of digital health technology and implications for supporting technology use. BMC Res Notes 17, 90 (2024). https://doi.org/10.1186/s13104-024-06687-x
  • Practical Strategies to Improve your Digital Accessibility
    Dr Kate Anderson, Institute for Health Transformation | Deakin University
    Prepared for COAT-NSW 2021 https://coat.asn.au/wp-content/uploads/2021/12/Practical-Strategies-to-Improve-your-digital-accessibility_Dr-Kate-Anderson.pdf

  • Enriched knowledge representation in biological fields: a case study of literature-based discovery in Alzheimer’s disease
    https://doi.org/10.1186/s13326-025-00328-3
  • Large Language Models for Predicting Empathic Accuracy Between a Designer and a User
    https://doi.org/10.1115/1.4067227
  • Disease progression modelling of Alzheimer’s disease using probabilistic principal components analysis
    https://doi.org/10.1016/j.neuroimage.2023.120279
  • Autonomous AI: what does autonomy mean in relation to persons or machines?
    https://doi.org/10.1080/17579961.2023.2245679
  • Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression
    https://doi.org/10.1162/tacl_a_00483

  • Elsy Garcia, Wei Zhao, Ryan M. Kelly, George Buchanan, and Jenny Waycott. 2025. Beyond Monitoring: Older Adults Using Wearable Activity Trackers for Active Health Management and Behaviour Change. In Proceedings of the 37th Australian Conference on Human-Computer Interaction (OzCHI '25). Association for Computing Machinery, New York, NY, USA, 239–252. https://doi.org/10.1145/3764687.3764695
  • Bingyi Han, Simon Coghlan, George Buchanan, and Dana McKay. 2025. Who is Helping Whom? Student Concerns about AI-Teacher Collaboration in Higher Education Classrooms. Proc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW206 (May 2025), 32 pages. https://doi.org/10.1145/3711104
  • Cataldo F, Chang S, Mendoza A, Buchanan G, Van Dam N. Exploring Technical Features to Enhance Control in Videoconferencing Psychotherapy: Quantitative Study on Clinicians’ Perspectives J Med Internet Res 2025;27:e66904 URL: https://www.jmir.org/2025/1/e66904 DOI: 10.2196/66904
  • Han, B., Nawaz, S., Buchanan, G. et al. Students’ Perceptions: Exploring the Interplay of Ethical and Pedagogical Impacts for Adopting AI in Higher Education. Int J Artif Intell Educ (2025). https://doi.org/10.1007/s40593-024-00456-4
  • Garcia Reyes E, Kelly R, Buchanan G, Waycott J
  • Understanding Older Adults’ Experiences With Technologies for Health Self-management: Interview Study, JMIR Aging 2023;6:e43197 URL:https://aging.jmir.org/2023/1/e43197 DOI: 10.2196/43197

  • Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, and Jeffrey Chan. 2025. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 5335–5339. https://doi.org/10.1145/3746252.3760878
  • Yueqing Xuan, Kacper Sokol, Mark Sanderson, and Jeffrey Chan. 2025. Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 3720–3729. https://doi.org/10.1145/3746252.3761263
  • Hiruni Nuwanthika Kegalle, Danula Hettiachchi, Jeffrey Chan, Mark Sanderson, and Flora D. Salim. 2025. Watch Out! E-scooter Coming Through!: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders' Ego-centric Views. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9, 1, Article 8 (March 2025), 23 pages. https://doi.org/10.1145/3712284
  • Kacper Sokol, Meelis Kull, Jeffrey Chan, and Flora Salim. 2024. Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity. ACM J. Responsib. Comput. 1, 3, Article 19 (September 2024), 27 pages. https://doi.org/10.1145/3677173
  • Francis Zac Dela Cruz, Flora D. Salim, Yonchanok Khaokaew, and Jeffrey Chan. 2024. CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. In Proceedings of the 18th ACM Conference on Recommender Systems (RecSys '24). Association for Computing Machinery, New York, NY, USA, 924–928. https://doi.org/10.1145/3640457.3688170

  • Yimin Chen, Dana McKay, Kate Anderson, and Ronny Andrade. 2025. Inclusive and Accessible Bystander Interventions for Technology Facilitated Sexual Violence. In Companion Proceedings of the ACM on Web Conference 2025 (WWW '25). Association for Computing Machinery, New York, NY, USA, 2772–2775. https://doi.org/10.1145/3701716.3716879 
  • Nevin, A., Chen, Y., Yang, S., & Quan-Haase, A. (2022). Key considerations in the interpretation of digital trace data. In A. Quan-Haase, L. Sloan (Eds.) Key considerations in the interpretation of digital trace data (Vol. 0, pp. 54-66). SAGE Publications Ltd, https://doi.org/10.4135/9781529782943.n6 
  • Rubin et al., (2019). A News Verification Browser for the Detection of Clickbait, Satire, and Falsified News. Journal of Open Source Software, 4(35), 1208, https://doi.org/10.21105/joss.01208 
  • Cornwell, Sarah & Delellis, Nicole & Kelly, Dominique & Liu, Yifan & Mayhew, Alexander & Chen, Yimin & Rubin, Victoria. (2025). Theorizing Improved NLP Features for Promoting Behavior that Supports CMC Users’ Subjective Well-Being. Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI. 10.29173/cais1937. 
  • Rubin, Victoria & Conroy, Nadia & Chen, Yimin & Cornwell, Sarah. (2016). Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News. 10.18653/v1/W16-0802. 

  • Henry, N., Flynn, A., & Powell, A. (2020). Technology-Facilitated Domestic and Sexual Violence: A Review. Violence Against Women, 26(15-16), 1828-1854. https://doi.org/10.1177/1077801219875821 (Original work published 2020)
  • Henry N, Gavey N, Johnson K. Image-Based Sexual Abuse as a Means of Coercive Control: Victim-Survivor Experiences. Violence Against Women. 2023 May;29(6-7):1206-1226. doi: 10.1177/10778012221114918. Epub 2022 Aug 22. PMID: 35989679.
  • Taibat Hussain, Image-Based Sexual Abuse: A Study on the Causes and Consequences of Non-Consensual Nude or Sexual Imagery, Nicola Henry, Clare McGlynn, Asher Flynn, Kelly Johnson, Anastasia Powell, Adrian J. Scott, The British Journal of Social Work, Volume 54, Issue 4, June 2024, Pages 1777–1779, https://doi.org/10.1093/bjsw/bcae003
  • Henry, N., Witt, A., & Vasil, S. (2025). A ‘design justice’ approach to developing digital tools for addressing gender-based violence: exploring the possibilities and limits of feminist chatbots. Information, Communication & Society, 28(11), 1884–1907. https://doi.org/10.1080/1369118X.2024.2363900
  • Ray, A., & Henry, N. (2024). Sextortion: A Scoping Review. Trauma, Violence, & Abuse, 26(1), 138-155. https://doi.org/10.1177/15248380241277271 (Original work published 2025)

 

  • A. Jing et al., "Superpowering Emotion Through Multimodal Cues in Collaborative VR," 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bellevue, WA, USA, 2024, pp. 160-169, doi: 10.1109/ISMAR62088.2024.00030.
  • Theophilus Teo, Allison Jing, Xuan Tien Pham, and Gun A. Lee. 2024. ExpressiveWorld: Detachable Expressions for VR Collaboration. In SIGGRAPH Asia 2024 XR (SA '24). Association for Computing Machinery, New York, NY, USA, Article 5, 1–2. https://doi.org/10.1145/3681759.3688913
  • A. Jing, M. Frederick, M. Sewell, A. Karlson, B. Simpson and M. Smith, "How Visualising Emotions Affects Interpersonal Trust and Task Collaboration in a Shared Virtual Space," 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Sydney, Australia, 2023, pp. 849-858, doi: 10.1109/ISMAR59233.2023.00100.
  • Allison Jing, Kieran May, Brandon Matthews, Gun Lee, and Mark Billinghurst. 2022. The Impact of Sharing Gaze Behaviours in Collaborative Mixed Reality. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 463 (November 2022), 27 pages. https://doi.org/10.1145/3555564
  • Kaining Zhang, Theophilus Teo, Eunhee Chang, Xianglin Zheng, Allison Jing, and Mark Billinghurst. 2025. The Brain Knows What You Prefer: Using EEG to Decode AR Input Preferences. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 116, 1–20. https://doi.org/10.1145/3706598.3713896

  • Wei Zhao, Ryan M. Kelly, Melissa J. Rogerson, Jenny Waycott, Older adults co-creating and experiencing VR garden tours: Developing a participatory VR storytelling framework. International Journal of Human-Computer Studies, Volume 205, 2025, https://doi.org/10.1016/j.ijhcs.2025.103656 
  • Cherie Sew, Saumya Pareek, Jarod Govers, Sarah Schömbs, Ryan M. Kelly, and Jorge Goncalves. 2025. The Impact of Human-Likeness and Self-Disclosure on Message Acceptance in Virtual AI Influencers. In Proceedings of the 2025 ACM Designing Interactive Systems Conference (DIS '25). Association for Computing Machinery, New York, NY, USA, 1165–1178. https://doi.org/10.1145/3715336.3735756 
  • Blackmore R, Giles C, Tremain H, Kelly R, Foley F, Fletcher K, Nedeljkovic M, Wadley G, Seabrook E, Thomas N Examining the Use of Virtual Reality to Support Mindfulness Skills Practice in Mood and Anxiety Disorders: Mixed Methods Study J Med Internet Res 2024;26:e45640   doi: 10.2196/45640 
  • Samangi Wadinambiarachchi, Ryan M. Kelly, Saumya Pareek, Qiushi Zhou, and Eduardo Velloso. 2024. The Effects of Generative AI on Design Fixation and Divergent Thinking. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 380, 1–18. https://doi.org/10.1145/3613904.3642919 

  • Responding to Human Rights Abuses in the Digital Era: New Tools, Old Challenges
    https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3859873
  • Storm in an Ice Cream Cone: Was Ben & Jerry's Decision to End Ice Cream Sales in Israeli Settlements a Responsible Corporate Exit from Occupied Territories?
    DOI: 10.1017/S0021223724000116 
  • Security, Conflict and Sustainability: Strengthening the GRI Sustainability Standards for Corporate Reporting on Conflict-Affected and High-Risk Areas - DCAF-Geneva Centre for Security Sector Governance, International Committee of Red Cross, RMIT University (https://www.securityhumanrightshub.org/resources/security-conflict-sustainability-gri-standards.html)

  • Responding to Human Rights Abuses in the Digital Era: New Tools, Old Challenges
    https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3859873
  • Storm in an Ice Cream Cone: Was Ben & Jerry's Decision to End Ice Cream Sales in Israeli Settlements a Responsible Corporate Exit from Occupied Territories?
    DOI: 10.1017/S0021223724000116 
  • Security, Conflict and Sustainability: Strengthening the GRI Sustainability Standards for Corporate Reporting on Conflict-Affected and High-Risk Areas - DCAF-Geneva Centre for Security Sector Governance, International Committee of Red Cross, RMIT University (https://www.securityhumanrightshub.org/resources/security-conflict-sustainability-gri-standards.html)

  • Jiayang Niu, Qihan Zou, Jie Li, Ke Deng, Mark Sanderson, Yongli Ren: Estimating Quantum Execution Requirements for Feature Selection in Recommender Systems Using Extreme Value Theory. RecSys 2025: 587-592.
    Https://dl.acm.org/doi/10.1145/3705328.3748029" 
  • Jie Li, Yongli Ren, Mark Sanderson, Ke Deng: Explaining Recommendation Fairness from a User/Item Perspective. ACM Trans. Inf. Syst. 43(1): 17:1-17:30 (2025).
    Https://dl.acm.org/doi/10.1145/3698877" 
  • Jinze Wang, Yongli Ren, Jie Li, Ke Deng: The Footprint of Factorization Models and Their Applications in Collaborative Filtering. ACM Trans. Inf. Syst. 40(4): 71:1-71:32 (2022).
    Https://dl.acm.org/doi/10.1145/3490475"
  • Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson: NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. CIKM 2022: 1430-1440.
    Https://dl.acm.org/doi/10.1145/3511808.3557407" 
  • Jie Li, Yongli Ren, Ke Deng: FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. WWW 2022: 297-307.
    https://dl.acm.org/doi/10.1145/3485447.3511958"

  • Regulating tech-sex and managing image-based sexual abuse: an Australian perspective
    1 Jan 2023Information and Communications Technology Law32(2):189-206Routledge
    Co-authors:Farrell A-M, Shackleton N, Agnew E...2 more
    DOI: 10.1080/13600834.2022.2119208
  • The risks and benefits of technologised sexual practice scale: a quantitative measure of technology facilitated sex and intimacy
    1 Jan 2023 Sexual Health1-11 (11 pages) CSIRO Publishing
    Co-authors:Moor L, Anderson J, Power J...3 more
    DOI: 10.1071/SH23034
  • Traversing TechSex: Benefits and risks in digitally mediated sex and relationships
    1 Jan 2022 Sexual Health19(1):55-69 (15 pages)C S I R O Publishing
    Co-authors:Power J, Moor L, Anderson J...6 more
    DOI: 10.1071/SH21220
  • Harming Women with Words: The Failure of Australian Law to Prohibit Gendered Hate Speech
    1 Jan 2018 University of New South Wales Law Journal41(3):939-976 (38 pages) University of New South Wales
    Co-authors:D'Souza T, Griffin L, Shackleton N...1 more
    DOI: 10.53637/YMDB7876

  • Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, and Mark Sanderson. 2025. A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 4014–4023. https://doi.org/10.1145/3746252.3761382 
  • Laura Dietz, Oleg Zendel, Peter Bailey, Charles L. A. Clarke, Ellese Cotterill, Jeff Dalton, Faegheh Hasibi, Mark Sanderson, and Nick Craswell. 2025. Principles and Guidelines for the Use of LLM Judges. In Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) (ICTIR '25). Association for Computing Machinery, New York, NY, USA, 218–229. https://doi.org/10.1145/3731120.3744588 
  • Oleg Zendel, J. Shane Culpepper, Falk Scholer, and Paul Thomas. 2024. Enhancing Human Annotation: Leveraging Large Language Models and Efficient Batch Processing. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval (CHIIR '24). Association for Computing Machinery, New York, NY, USA, 340–345. https://doi.org/10.1145/3627508.3638322 
  • Oleg Zendel, Melika P. Ebrahim, J. Shane Culpepper, Alistair Moffat, and Falk Scholer. 2022. Can Users Predict Relative Query Effectiveness? In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22). Association for Computing Machinery, New York, NY, USA, 2545–2549. https://doi.org/10.1145/3477495.3531893 
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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