Publications
Research publications
Our publications reflect a commitment to advancing the scale, scope and robustness of AI applications in society.
Learning Analytics
| Year | Publication details |
|---|---|
| 2025 | Yan, L., Greiff, S., Lodge, J.M., & Gasevic, D. (2025). Distinguishing performance gains from learning when using generative AI. Nature Reviews Psychology, 4, 435-436. |
| 2025 | Yan,L., Greiff, S., Teuber, Z., & Gasevic, D. (2024). Promises and challenges of generative artificial intelligence for human learning. Nature Human Behaviour, 8(10), 1839-1850. |
| 2025 | Banihashem, S. K., Gašević, D. & Noroozi, O., Jun 2025, A Critical Review of Using Learning Analytics for Formative Assessment: Progress, Pitfalls and Path Forward. In: Journal of Computer Assisted Learning. 41, 3, 9 p., e70056. |
| 2025 | Echeverria, V., Nieto, G. F., Zhao, L., Palominos, E., Srivastava, N., Gašević, D., Pammer-Schindler, V. & Martinez-Maldonado, R., Feb 2025, A learning analytics dashboard to support students' reflection on collaboration. In: Journal of Computer Assisted Learning. 41, 1, 21 p., e13088. |
| 2025 | Shen, Y., Tang, L., Le, H., Tan, S., Zhao, Y., Shen, K., Li, X., Juelich, T., Wang, Q., Gašević, D. & Fan, Y., Jul 2025, Aligning and comparing values of ChatGPT and human as learning facilitators: A value-sensitive design approach. In: British Journal of Educational Technology. 56, 4, p. 1391-1414 24 |
| 2025 | Cheng, Y., Fan, Y., Li, X., Chen, G., Gašević, D. & Swiecki, Z., Jun 2025, Asking generative artificial intelligence the right questions improves writing performance In: Computers and Education: Artificial Intelligence. 8, 18 p., 100374. |
| 2025 | Yan, L., Pammer-Schindler, V., Mills, C., Nguyen, A. & Gašević, D., 10 Jul 2025, Beyond efficiency: Empirical insights on generative AI's impact on cognition, metacognition and epistemic agency in learning。 In: British Journal of Educational Technology. 11. |
| 2025 | Li, Y., Raković, M., Srivastava, N., Li, X., Guan, Q., Gašević, D. & Chen, G., Apr 2025, Can AI support human grading? Examining machine attention and confidence in short answer scoring. In: Computers and Education. 228, 18 p., 105244. |
| 2025 | Dai, W., Tsai, Y. S., Gašević, D. & Chen, G., 2025, Designing relational feedback: a rapid review and qualitative synthesis. In: Assessment and Evaluation in Higher Education. 1, 50, p. 16-30 15 p. |
| 2025 | Yan, L., Martinez-Maldonado, R., Swiecki, Z., Zhao, L., Li, X. & Gašević, D., 2025, Dissecting the Temporal Dynamics of Embodied Collaborative Learning Using Multimodal Learning Analytics. In: Journal of Educational Psychology. 117, 1, p. 106–133 28 p. |
| 2025 | Jin, F. J. Y., Dai, W., Maheshi, B., Martinez-Maldonado, R., Gašević, D. & Tsai, Y. S., Apr 2025, Feedback in K-12 and higher education: Educators’ perspectives. In: Teaching and Teacher Education. 156, 12 p., 104933. |
| 2025 | Jin, Y., Yan, L., Echeverria, V., Gašević, D. & Martinez-Maldonado, R., Jun 2025, Generative AI in higher education: A global perspective of institutional adoption policies and guidelines. In: Computers and Education: Artificial Intelligence. 8, 12 p., 100348. |
AiLECS
| Year | Publication details |
|---|---|
| 2024 | Nguyen, T. T., Wilson, C., & Dalins, J. (2024). Adaptive Knowledge Distillation for Classification of Hand Images Using Explainable Vision Transformers. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML/PKDD2024) (pp. 235-252). |
| 2024 | Humphries, K.A.M., Lewis, A., Rolan, G., Ronken, C., & Wilson, C. (2024) Hear our voices - survivor perspectives on tackling CSAM. Child Sexual Abuse Reduction Research Network Conference, Leiden, The Netherlands, 5-6 December 2024 |
| 2024 | Nguyen, T. T., Wilson, C., & Dalins, J. (2024). Fine-tuning llama 2 large language models for detecting online sexual predatory chats and abusive texts. Proceedings of the 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 613-618. |
| 2024 | Humphries, K.A.M., McGillivray, C. and Christophersen, L., (2024). Proposing trauma-informed practice and response in policing: A social innovation narrative for reforming responses to child sexual abuse and exploitation. Journal of Community Safety & Well-Being, 9(3), pp.164-173. |
| 2024 | He, H., Wilson, C., Nguyen, T. T., & Dalins, J. (2024). Sensitive Image Classification by Vision Transformers. Proceedings of the 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Sarawak, Malaysia. |
| 2024 | Rolan, G. and Lewis, A., (2024). The perpetual twilight of records: consentful recordkeeping as moral defence. Archival Science, pp.1-31. |
| 2024 | Nguyen, T. T., Wilson, C., & Dalins, J. (2024). Object Detection Approaches to Identifying Hand Images with High Forensic Values. Proceedings of the 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Sarawak, Malaysia. |
| 2024 | Ballin, M., Humphries, K., Lewis, A. ., Rolan, G. and Ronken, C. (2024) “Survivor Perspectives on Institutional Use of Child Sexual Abuse Material”, International Journal for Crime, Justice and Social Democracy. doi: 10.5204/ijcjsd.3581 |
Digital Health
| Year | Publication details |
|---|---|
| 2025 | Yan, S., Yu, Z., Primiero, C., Vico-Alonso, C., Wang, Z., Yang, L., ... & Ge, Z. (2025). A General-Purpose Multimodal Foundation Model for Dermatology. Nature Medicine, DOI:10.1038/s41591-025-03747-y |
| 2023 | Gong, S., Zhang, X., Nguyen, X.A., Shi, Q., Lin, F., Chauhan, S., Ge, Z. and Cheng, W., 2023. Hierarchically resistive skins as specific and multimetric on-throat wearable biosensors. Nature Nanotechnology, pp.1-9, DOI: 10.1038/s41565-023-01383-6 |
| 2023 | Hu, M., Wang, L., Yan, S., Ma, D., Ren, Q., Xia, P., ... & Ge, Z. (2023). Nurvid: A large expert-level video database for nursing procedure activity understanding. Advances in Neural Information Processing Systems, 36, 18146-18164, DOI:10.48550/arXiv.2310.13347 |
| 2023 | Yan S, Yu Z, Zhang X, Mahapatra D, Chandra SS, Janda M, Soyer P, Ge Z. Towards trustable skin cancer diagnosis via rewriting model's decision. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 11568-11577), DOI:10.48550/arXiv.2303.00885 |
| 2022 | Hakeem, H., Feng, W., Chen, Z., Choong, J., Brodie, M. J., Fong, S. L., ... & Ge, Z., Kwan, P. (2022). Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy. JAMA neurology, 79(10), 986-996, DOI: 10.1001/jamaneurol.2022.2514 |
| 2022 | Ju, L., Wang, X., Wang, L., Mahapatra, D., Zhao, X., Zhou, Q., Liu, T. and Ge, Z., 2022. Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation. IEEE transactions on medical imaging, DOI: 10.1109/TMI.2022.3141425 |
| 2021 | Yu, Z., Nguyen, J., Nguyen, T.D., Kelly, J., Mclean, C., Bonnington, P., Zhang, L., Mar, V. and Ge, Z., 2021. Early Melanoma Diagnosis with Sequential Dermoscopic Images. IEEE Transactions on Medical Imaging, 41(3), pp.633-646, DOI: 10.1109/TMI.2021.3120091 |
| 2021 | Lin, D., Xiong, J., Liu, C., Zhao, L., Li, Z., Yu, S., Wu, X., Ge, Z., Hu, X., Wang, B. and Fu, M., 2021. Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study. The Lancet Digital Health, 3(8), pp.e486-e495, DOI: 10.1016/S2589-7500(21)00086-8 |
| 2020 | Cheng, X., Zhong, Y., Harandi, M., Dai, Y., Chang, X., Li, H., Drummond, T. and Ge, Z., 2020. Hierarchical neural architecture searches for deep stereo matching. Advances in Neural Information Processing Systems, 33, pp.22158-22169, DOI: 10.48550/arXiv.2010.13501 |
| 2016 | Bewley, A., Ge, Z., Ott, L., Ramos, F. and Upcroft, B., 2016, September. Simple online and realtime tracking. In 2016 IEEE international conference on image processing (ICIP) (pp. 3464-3468). IEEE, DOI: 10.1109/ICIP.2016.7533003 |
Energy
| Year | Publication details |
|---|---|
| 2025 | Jiang, C., Liebman, A., Jie, B. & Wang, H., May 2025, Dynamic rolling horizon optimization for network-constrained V2X value stacking of electric vehicles under uncertainties. In: Renewable Energy. 244, 21 p., 122668. |
| 2025 | Liang, X., de Nijs, F., Say, B. & Wang, H., 2025, Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. Nieße, A. (ed.). New York NY USA: Association for Computing Machinery (ACM), p. 359-370 12 p. |
| 2025 | S Yoon, TWK Mak, R Dargaville, 2025, Techno-economic analysis of G2V and V2G charging systems: A case study based on the Monash microgrid. Electric Power Systems Research 248, 111875 |
| 2025 | Kaviani, F., Selwyn, N., Strengers, Y., Dahlgren, K., Cumbo, B. & Wagner, M., 25 Feb 2025, Future schools and the energy implications of AI in education: A review of scenarios and methods for engaging young people in futures thinking. In: Policy Futures in Education. 19 p. |
| 2025 | Selwyn, N., Kaviani, F., Strengers, Y., Dahlgren, K., Cumbo, B. & Wagner, M., Feb 2025, “We're already experts in school, right?”: Supporting students’ construction of future school scenarios. In: Futures. 166, 12 p., 103541. |
| 2024 | Wang, X., Wang, H., Bhandari, B. & Cheng, L., May 2024, AI-empowered methods for smart energy consumption: A review of load forecasting, anomaly detection and demand response. In: International Journal of Precision Engineering and Manufacturing - Green Technology. 11, 3, p. 963–993 31 p. |
| 2024 | Wang, X., Wang, H., Li, S. & Jin, H., 1 Oct 2024, A reinforcement learning-based online learning strategy for real-time short-term load forecasting. In: Energy. 305, 12 p., 132344. |
| 2024 | Doan, A. D., Nguyen, B. L., Gupta, S., Reid, I., Wagner, M. & Chin, T. J., Jan 2024, Assessing domain gap for continual domain adaptation in object detection. In: Computer Vision and Image Understanding. 238, 10 p., 103885. |
| 2024 | Zanartu, F., Cook, J., Wagner, M. & García, J., Dec 2024, A technocognitive approach to detecting fallacies in climate misinformation. In: Scientific Reports. 14, 1, 12 p., 27647. |
| 2024 | Klamkin, M., Tanneau, M., Mak, T. W. K. & Van Hentenryck, P., Oct 2024, Bucketized Active Sampling for learning ACOPF. In: Electric Power Systems Research. 235, 8 p. 110697. |
| 2024 | Park, S., Chen, W., Mak, T. W. K. & Van Hentenryck, P., Mar 2024, Compact optimization learning for AC Optimal Power Flow. In: IEEE Transactions on Power Systems. 39, 2, p. 4350-4359 10 p. |
Sustainability & Environment
| Year | Publication details |
|---|---|
| 2025 | Harwood, B., Dezfouli, A., Chades, I. & Sanderson, C., 2025, Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. AI 2024" Advances in Artificial Intelligence, 37th Australasian Joint Conference on Artificial Intelligence, AI 2024 Melbourne, VIC, Australia, November 25–29, 2024 Proceedings, Part II. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (eds.). Singapore Singapore: Springer, p. 95-106 12 p. (Lecture Notes in Computer Science; vol. 15443). |
| 2024 | Akinlotan, M. D., Warne, D. J., Helmstedt, K. J., Vollert, S. A., Chadès, I., Heneghan, R. F., Xiao, H. & Adams, M. P., Mar 2024, Beyond expected values: Making environmental decisions using value of information analysis when measurement outcome matters. In: Ecological Indicators. 160, 12 p., 111828. |
| 2024 | Blau, T., Chades, I. & Ong, C. S., 2024, Machine Learning for Biological Design. Methods in Molecular Biology. Carl Braman, J. (ed.). 2nd ed. New York NYC USA: Humana Press, p. 319-344 26 p. (Methods in Molecular Biology; vol. 2760). |
| 2024 | Hudgins, E. J., Hanson, J. O., MacQuarrie, C. J. K., Yemshanov, D., Baker, C. M., Chadès, I., Holden, M. H., McDonald-Madden, E. & Bennett, J. R., Mar 2024, Spread management priorities to limit emerald ash borer (Agrilus planipennis) impacts on United States street trees. In: Conservation Science and Practice. 6, 3, 14 p., e13087. |
| 2024 | Holden, M. H., Akinlotan, M. D., Binley, A. D., Cho, F. H. T., Helmstedt, K. J. & Chadès, I., Sept 2024, Why shouldn't I collect more data? Reconciling disagreements between intuition and value of information analyses. In: Methods in Ecology and Evolution. 15, 9, p. 1580-1592 13 p. |