Xuetong Wu

According to our database, Xuetong Wu authored at least 19 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fast Rate Information-Theoretic Bounds on Generalization Errors.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

IEEE Trans. Inf. Theory, August, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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, Zheng Yuan, Jey Han Lau

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

On the Generalization for Transfer Learning: An Information-Theoretic Analysis.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

IEEE Trans. Inf. Theory, October, 2024

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue.

Rena Gao, Xuetong Wu, Siwen Luo, Soyeon Caren Han, Feng Liu

CoRR, 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

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

2023

A Bayesian approach to (online) transfer learning: Theory and algorithms.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

Artif. Intell., November, 2023

Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications.

Xuetong Wu

PhD thesis, 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

On the Value of Stochastic Side Information in Online Learning.

Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

CoRR, 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

Fast Rate Generalization Error Bounds: Variations on a Theme.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

Proceedings of the IEEE Information Theory Workshop, 2022

2021

Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

Proceedings of the IEEE International Symposium on Information Theory, 2021

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

Information-theoretic analysis for transfer learning.

Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

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