no code implementations • 17 Apr 2024 • Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi, Aneesha Bakharia, Shazia Sadiq, Dragan Gasevic, Paul Denny, Hassan Khosravi
Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning.
1 code implementation • 3 Jan 2024 • Zongwei Wang, Min Gao, Junliang Yu, Hao Ma, Hongzhi Yin, Shazia Sadiq
This survey paper provides a systematic and up-to-date review of the research landscape on Poisoning Attacks against Recommendation (PAR).
no code implementations • 2 Jan 2024 • Catherine Sai, Shazia Sadiq, Lei Han, Gianluca Demartini, Stefanie Rinderle-Ma
Organizations face the challenge of ensuring compliance with an increasing amount of requirements from various regulatory documents.
no code implementations • 30 Nov 2023 • Zongwei Wang, Junliang Yu, Min Gao, Hongzhi Yin, Bin Cui, Shazia Sadiq
Contrastive learning (CL) has recently gained significant popularity in the field of recommendation.
no code implementations • 9 Nov 2023 • Hui Yin, Amir Aryani, Gavin Lambert, Marcus White, Luis Salvador-Carulla, Shazia Sadiq, Elvira Sojli, Jennifer Boddy, Greg Murray, Wing Wah Tham
We utilized a similarity measure to map these publications onto Sustainable Development Goals (SDGs).
1 code implementation • 15 Sep 2023 • Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Kai Zheng, Hongzhi Yin
Due to the imbalanced nature of networked observational data, the causal effect predictions for some individuals can severely violate the positivity/overlap assumption, rendering unreliable estimations.
no code implementations • 23 Jun 2023 • Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin
We term the co-occurrence of domain shift and inaccessible variables runtime domain corruption, which seriously impairs the generalizability of a trained counterfactual predictor.