Chun-Wei Seah

Orcid: 0000-0003-4548-9236

According to our database1, Chun-Wei Seah authored at least 15 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification.
CoRR, 2024

Contrastive Disentanglement for Authorship Attribution.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Online Continual Knowledge Learning for Language Models.
CoRR, 2023

Interpretable Sock Puppet Attribution.
Proceedings of the IEEE International Conference on Big Data, 2023

2020
Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2015
Troll detection by domain-adapting sentiment analysis.
Proceedings of the 18th International Conference on Information Fusion, 2015

2013
Transfer Ordinal Label Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

Combating Negative Transfer From Predictive Distribution Differences.
IEEE Trans. Cybern., 2013

2012
Exploiting auxiliary data for designing reliable classifier in domain adaptation
PhD thesis, 2012

Transductive Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst., 2012

Learning Target Predictive Function without Target Labels.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Pareto Rank Learning in Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Healing Sample Selection Bias by Source Classifier Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Predictive Distribution Matching SVM for Multi-domain Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010


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