Chieh Wu

According to our database, Chieh Wu authored at least 15 papers between 2009 and 2022.

Collaborative distances:

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

2022

Deep Layer-wise Networks Have Closed-Form Weights.

Chieh Tzu Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Chinese-Language Validation of the Video Game Demand Scale (VGDS-C): Measuring the Cognitive, Emotional, Physical, and Social Demands of Video Games.

Nicholas David Bowman, JihHsuan Tammy Lin, Chieh Wu

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Kernel Dependence Network.

Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

CoRR, 2020

Layer-wise Learning of Kernel Dependence Networks.

Chieh Wu, Aria Masoomi, Arthur Gretton, Jennifer G. Dy

CoRR, 2020

Deep Kernel Learning for Clustering.

Chieh Wu, Zulqarnain Khan, Stratis Ioannidis, Jennifer G. Dy

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Instance-wise Feature Grouping.

Aria Masoomi, Chieh Wu, Tingting Zhao, Zifeng Wang, Peter J. Castaldi, Jennifer G. Dy

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth.

Shi Dong, Zlatan Feric, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh, David R. Kaeli

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion.

Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy

CoRR, 2019

Solving Interpretable Kernel Dimension Reduction.

Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy

CoRR, 2019

Deep Kernel Learning for Clustering.

Chieh Wu, Zulqarnain Khan, Yale Chang, Stratis Ioannidis, Jennifer G. Dy

CoRR, 2019

Solving Interpretable Kernel Dimensionality Reduction.

Chieh Wu, Jared Miller, Yale Chang, Mario Sznaier, Jennifer G. Dy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A Hybrid Approach to Identifying Key Factors in Environmental Health Studies.

Shi Dong, Zlatan Feric, Xiangyu Li, Sheikh Mokhlesur Rahman, Guangyu Li, Chieh Wu, April Z. Gu, Jennifer G. Dy, David R. Kaeli, John Meeker, Ingrid Y. Padilla, José Cordero, Carmen Velez Vega, Zaira Rosario, Akram Alshawabkeh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Interactive Kernel Dimension Alternative Clustering on GPUs.

Xiangyu Li, Chieh Wu, Shi Dong, Jennifer G. Dy, David R. Kaeli

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Iterative Spectral Method for Alternative Clustering.

Chieh Wu, Stratis Ioannidis, Mario Sznaier, Xiangyu Li, David R. Kaeli, Jennifer G. Dy

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2009

A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cue.

Yingzi Lin, Wen-Jun Zhang, Chieh Wu, G. Yang, Jennifer G. Dy

Int. J. Hum. Comput. Stud., 2009