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2020 – today
- 2024
[j4]Tianjian Chen
, Jiang Huang, Xuetong Wu, Changcheng Shao:
Predicting Social Media Popularity With Large Language Models: Transforming Metadata Into Semantic-Enriched and Contextualized Text. IEEE Access 12: 192528-192538 (2024)- [j3]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the Generalization for Transfer Learning: An Information-Theoretic Analysis. IEEE Trans. Inf. Theory 70(10): 7089-7124 (2024) - [i12]Rena Gao, Jingxuan Wu, Carsten Roever, Xuetong Wu, Jing Wu, Long Lv, Jey Han Lau:
CNIMA: A Universal Evaluation Framework and Automated Approach for Assessing Second Language Dialogues. CoRR abs/2408.16518 (2024) - [i11]Rena Gao, Xuetong Wu, Siwen Luo, Soyeon Caren Han, Feng Liu:
'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue. CoRR abs/2410.23883 (2024) - 2023
- [b1]Xuetong Wu:
Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications. University of Melbourne, Parkville, Victoria, Australia, 2023 - [j2]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian approach to (online) transfer learning: Theory and algorithms. Artif. Intell. 324: 103991 (2023) - [c4]Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu:
On the Value of Stochastic Side Information in Online Learning. ICASSP 2023: 1-5 - [i10]Junzhang Jia, Xuetong Wu, Jingge Zhu, Jamie S. Evans:
On the Value of Stochastic Side Information in Online Learning. CoRR abs/2303.05914 (2023) - [i9]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On the tightness of information-theoretic bounds on generalization error of learning algorithms. CoRR abs/2303.14658 (2023) - 2022
- [c3]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. ITW 2022: 43-48 - [i8]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Fast Rate Generalization Error Bounds: Variations on a Theme. CoRR abs/2205.03131 (2022) - [i7]Xuetong Wu, Mingming Gong, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis. CoRR abs/2205.04641 (2022) - [i6]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
An Information-Theoretic Analysis for Transfer Learning: Error Bounds and Applications. CoRR abs/2207.05377 (2022) - 2021
- [c2]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. ISIT 2021: 1540-1545 - [i5]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. CoRR abs/2105.01445 (2021) - [i4]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms. CoRR abs/2109.01377 (2021) - 2020
- [c1]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. ISIT 2020: 2819-2824 - [i3]Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu:
Information-theoretic analysis for transfer learning. CoRR abs/2005.08697 (2020) - [i2]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. CoRR abs/2011.09912 (2020) - [i1]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values. CoRR abs/2012.01974 (2020)
2010 – 2019
- 2019
- [j1]Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate:
Imputation techniques on missing values in breast cancer treatment and fertility data. Health Inf. Sci. Syst. 7(1): 19 (2019)
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