|
2025 Conference Publication Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic VideosZhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos. 2025 Conference on Multimedia-MM, Dublin Ireland, Oct 27-31, 2025. New York, NY, USA: ACM. doi: 10.1145/3746027.3758257 |
|
2025 Conference Publication Learning a universal crime predictor with knowledge-guided hypernetworksKarimova, Fidan, Chen, Tong, Yang, Yu and Sadiq, Shazia (2025). Learning a universal crime predictor with knowledge-guided hypernetworks. 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA251027 |
|
2025 Conference Publication Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationWen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305 |
|
2025 Conference Publication ID-free not risk-free: LLM-powered agents unveil risks in ID-free recommender systemsWang, Zongwei, Gao, Min, Yu, Junliang, Gao, Xinyi, Nguyen, Quoc Viet Hung, Sadiq, Shazia and Yin, Hongzhi (2025). ID-free not risk-free: LLM-powered agents unveil risks in ID-free recommender systems. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3730003 |
|
2025 Conference Publication Continual text-to-video retrieval with frame fusion and task-aware routingZhao, Zecheng, Chen, Zhi, Huang, Zi, Sadiq, Shazia and Chen, Tong (2025). Continual text-to-video retrieval with frame fusion and task-aware routing. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3729936 |
|
2025 Conference Publication How do experts make sense of integrated process models?Chen, Tianwa, Weber, Barbara, Shanks, Graeme, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2025). How do experts make sense of integrated process models?. 37th International Conference, CAiSE 2025, Vienna, Austria, 16-20 June 2025. Cham, Switzerland: Springer Switzerland. doi: 10.1007/978-3-031-94571-7_1 |
|
2025 Conference Publication LLM-Based Semantic Augmentation for Harmful Content DetectionMeguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35868 |
|
2025 Conference Publication Are Large Language Models Good Data Preprocessors?Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568 |
|
2025 Conference Publication Let the Augmentation Path SpeakJi, Daomin, Luo, Hui, Bao, Zhifeng, Sadiq, Shazia and Culpepper, J. Shane (2025). Let the Augmentation Path Speak. New York, NY, USA: ACM. doi: 10.1145/3701716.3715183 |
|
2025 Conference Publication BiasNavi: LLM-Empowered Data Bias ManagementYu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. ACM Web Conference 2025 (WWW'25), Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715169 |
|
2025 Conference Publication Towards secure and robust recommender systems: a data-centric perspectiveWang, Zongwei, Yu, Junliang, Chen, Tong, Yin, Hongzhi, Sadiq, Shazia and Gao, Min (2025). Towards secure and robust recommender systems: a data-centric perspective. 18th International Conference on Web Search and Data Mining-WSDM, Hannover, Germany, 10-14 March 2025. New York, NY, United States: ACM. doi: 10.1145/3701551.3703484 |
|
2025 Conference Publication From misunderstandings to learning opportunities: leveraging generative AI in discussion forums to support student learningPozdniakov, Stanislav, Brazil, Jonathan, Poquet, Oleksandra, Krusche, Stephan, Berrezueta-Guzman, Santiago, Sadiq, Shazia and Khosravi, Hassan (2025). From misunderstandings to learning opportunities: leveraging generative AI in discussion forums to support student learning. 26th International Conference on Artificial Intelligence in Education, AIED 2025, Palermo, Italy, 22-26 July 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-98465-5_37 |
|
2025 Conference Publication Enhancing treatment effect estimation via active learning: a counterfactual covering perspectiveWen, Hechuan, Chen, Tong, Gong, Mingming, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Enhancing treatment effect estimation via active learning: a counterfactual covering perspective. 42nd International Conference on Machine Learning, ICML 2025, Vancouver, Canada, 13-19 July 2025. ML Research Press. |
|
2025 Conference Publication Knowledge tracing with a temporal hypergraph memory networkMohammadi, Mehrnoush, Berahmand, Kamal, Sadiq, Shazia and Khosravi, Hassan (2025). Knowledge tracing with a temporal hypergraph memory network. 26th International Conference, AIED 2025, Palermo, Italy, 22–26 July 2025. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-99267-4_10 |
|
2024 Conference Publication EMIT - event-based masked auto encoding for irregular time seriesPatel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - event-based masked auto encoding for irregular time series. 2024 IEEE International Conference on Data Mining (ICDM), Abu Dhabi, United Arab Emirates, 9-12 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm59182.2024.00044 |
|
2024 Conference Publication Influence of metadata on quality evaluation of unstructured information artefactsZhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library. |
|
2024 Conference Publication Unveiling vulnerabilities of contrastive recommender systems to poisoning attacksWang, Zongwei, Yu, Junliang, Gao, Min, Yin, Hongzhi, Cui, Bin and Sadiq, Shazia (2024). Unveiling vulnerabilities of contrastive recommender systems to poisoning attacks. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671795 |
|
2024 Conference Publication Fairness without sensitive attributes via knowledge sharingNi, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014 |
|
2024 Conference Publication On the Role of Large Language Models in Crowdsourcing Misinformation AssessmentXu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417 |
|
2024 Conference Publication How good are LLMs in generating personalized advertisements?Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520 |