Imputation techniques on missing values in breast cancer treatment and fertility data. - Xuetong Wu; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Zobaida Edib; Michelle Peate (Health Inf. Sci. Syst., 2019)

Information-theoretic analysis for transfer learning. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (ISIT, 2020)

Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values. - Xuetong Wu; Hadi Akbarzadeh Khorshidi; Uwe Aickelin; Zobaida Edib; Michelle Peate (CoRR, 2020)

Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (ISIT, 2021)

Fast Rate Generalization Error Bounds: Variations on a Theme. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (ITW, 2022)

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. - Xuetong Wu; Mingming Gong; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (CoRR, 2022)

An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (CoRR, 2022)

On the Value of Stochastic Side Information in Online Learning. - Junzhang Jia; Xuetong Wu; Jamie S. Evans; Jingge Zhu (ICASSP, 2023)

On the tightness of information-theoretic bounds on generalization error of learning algorithms. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (CoRR, 2023)

Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications. - Xuetong Wu (2023)

A Bayesian approach to (online) transfer learning: Theory and algorithms. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (Artif. Intell., 2023)

Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text. - Tianjian Chen; Jiang Huang; Xuetong Wu; Changcheng Shao (IEEE Access, 2024)

CNIMA: A Universal Evaluation Framework and Automated Approach for Assessing Second Language Dialogues. - Rena Gao; Jingxuan Wu; Carsten Roever; Xuetong Wu; Jing Wu; Long Lv; Jey Han Lau (CoRR, 2024)

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue. - Rena Gao; Xuetong Wu; Siwen Luo; Soyeon Caren Han; Feng Liu (CoRR, 2024)

On the Generalization for Transfer Learning: An Information-Theoretic Analysis. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (IEEE Trans. Inf. Theory, 2024)

Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases. - Rena Wei Gao; Xuetong Wu; Tatsuki Kuribayashi; Mingrui Ye; Siya Qi; Carsten Roever; Yuanxing Liu 001; Zheng Yuan; Jey Han Lau (ACL (1), 2025)

'No' Matters: Out-of-Distribution Detection in Multimodality Multi-Turn Interactive Dialogue Download PDF. - Rena Wei Gao; Xuetong Wu; Siwen Luo; Caren Han; Feng Liu (ACL (Findings), 2025)

An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues. - Rena Gao; Xuetong Wu; Carsten Roever; Jing Wu; Long Lv; Jingxuan Wu; Jey Han Lau (NAACL (Long Papers), 2025)

Fast Rate Information-Theoretic Bounds on Generalization Errors. - Xuetong Wu; Jonathan H. Manton; Uwe Aickelin; Jingge Zhu (IEEE Trans. Inf. Theory, 2025)