Xiuzhen Zhang

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 21

Top Topics

Top Venues

EACL (Findings)

Publications

Lin Tian, Xiuzhen Zhang, Jey Han Lau
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. EACL (Findings) (2024)
An Tang, Xiuzhen Zhang, Minh Dinh
Aspect-based Key Point Analysis for Quantitative Summarization of Reviews. EACL (Findings) (2024)
Lin Tian, Xiuzhen Zhang, Jey Han Lau
CMA-R: Causal Mediation Analysis for Explaining Rumour Detection. CoRR (2024)
Shoujin Wang, Wentao Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Fang Chen
A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation. KDD (2024)
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. CoRR (2024)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
A survey on personalized itinerary recommendation: From optimisation to deep learning. Appl. Soft Comput. 152 (2024)
Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. AAAI (2024)
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR (2024)
An Tang, Xiuzhen Zhang, Minh Dinh, Erik Cambria
Prompted Aspect Key Point Analysis for Quantitative Review Summarization. ACL (1) (2024)
Nannan Huang, Haytham Fayek, Xiuzhen Zhang
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias. EACL (1) (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
FairGT: A Fairness-aware Graph Transformer. CoRR (2024)
Xiaofei Xu, Ke Deng, Michael Dann, Xiuzhen Zhang
Harnessing Network Effect for Fake News Mitigation: Selecting Debunkers via Self-Imitation Learning. CoRR (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. KDD (2024)
Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21. IberLEF@SEPLN (2023)
Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs
Efficient Text-based Propaganda Detection via Language Model Cascades. IberLEF@SEPLN (2023)
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang
Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. Appl. Soft Comput. 147 (2023)
Sishun Liu, Ke Deng, Yan Wang, Xiuzhen Zhang
Explainable History Distillation by Marked Temporal Point Process. CoRR (2023)
Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Shiwei Zhang, Mingfang Wu, Xiuzhen Zhang
Utilising a Large Language Model to Annotate Subject Metadata: A Case Study in an Australian National Research Data Catalogue. CoRR (2023)
Lin Tian, Nannan Huang, Xiuzhen Zhang
Efficient Multilingual Sexism Detection via Large Language Model Cascades. CLEF (Working Notes) (2023)