Chun-Wei Seah

According to our database, Chun-Wei Seah authored at least 13 papers between 2010 and 2023.

Collaborative distances:

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

2023

Online Continual Knowledge Learning for Language Models.

Yuhao Wu, Tongjun Shi, Karthick Sharma, Chun-Wei Seah, Shuhao Zhang

CoRR, 2023

Interpretable Sock Puppet Attribution.

Chun-Wei Seah, Chia-Yu Hung, Yujia Hu, Hai Leong Chieu, Roy Ka-Wei Lee

Proceedings of the IEEE International Conference on Big Data, 2023

2020

Finding Achilles' Heel: Adversarial Attack on Multi-modal Action Recognition.

Deepak Kumar, Chetan Kumar, Chun-Wei Seah, Siyu Xia, Ming Shao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2015

Troll detection by domain-adapting sentiment analysis.

Chun-Wei Seah, Hai Leong Chieu, Kian Ming Adam Chai, Loo-Nin Teow, Lee Wei Yeong

Proceedings of the 18th International Conference on Information Fusion, 2015

2013

Transfer Ordinal Label Learning.

Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong

IEEE Trans. Neural Networks Learn. Syst., 2013

Combating Negative Transfer From Predictive Distribution Differences.

Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang

IEEE Trans. Cybern., 2013

2012

Exploiting auxiliary data for designing reliable classifier in domain adaptation

Chun-Wei Seah

PhD thesis, 2012

Transductive Ordinal Regression.

Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong

IEEE Trans. Neural Networks Learn. Syst., 2012

Learning Target Predictive Function without Target Labels.

Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Pareto Rank Learning in Multi-objective Evolutionary Algorithms.

Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.

Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Healing Sample Selection Bias by Source Classifier Selection.

Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Predictive Distribution Matching SVM for Multi-domain Learning.

Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010