Philip L. H. Yu

According to our database, Philip L. H. Yu authored at least 55 papers between 2003 and 2024.

Collaborative distances:

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

2024

Variable selection for high-dimensional incomplete data.

Lixing Liang, Yipeng Zhuang, Philip L. H. Yu

Comput. Stat. Data Anal., April, 2024

Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks.

Ruibin Zhao, Zhiwei Xie, Yipeng Zhuang, Philip L. H. Yu

Int. J. Neural Syst., March, 2024

Robust bilinear factor analysis based on the matrix-variate t distribution.

Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu

CoRR, 2024

2023

Developing "Learningverse" - A 3-D Metaverse Platform to Support Teaching, Social, and Cognitive Presences.

Yanjie Song, Jiaxin Cao, Kaiyi Wu, Philip Leung Ho Yu, John Chi-Kin Lee

IEEE Trans. Learn. Technol., December, 2023

AI-assisted automated scoring of picture-cued writing tasks for language assessment.

Ruibin Zhao, Yipeng Zhuang, Di Zou, Qin Xie, Philip L. H. Yu

Educ. Inf. Technol., June, 2023

2022

Joint latent space models for ranking data and social network.

Jiaqi Gu, Philip L. H. Yu

Stat. Comput., 2022

Bayesian robust tensor completion via CP decomposition.

Xiaohang Wang, Philip L. H. Yu, Weidong Yang, Jun Su

Pattern Recognit. Lett., 2022

Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion.

Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu

CoRR, 2022

UNISON: Unpaired Cross-Lingual Image Captioning.

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation.

Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui, Wan Hang Keith Chiu, Ho-Ming Cheng, Yanwen Fang, Man-Fung Yuen, Wai-Kay Seto

CoRR, 2021

CNN-based Realized Covariance Matrix Forecasting.

Yanwen Fang, Philip L. H. Yu, Yaohua Tang

CoRR, 2021

3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation.

Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Carrie Siu Man Lui, Gilberto K. K. Leung, Neeraj Mahboobani, Chi-yeung Chu, Wing-ho Chong, Wai-lun Poon

Comput. Medical Imaging Graph., 2021

2020

Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke.

Jia You, Anderson C. O. Tsang, Philip L. H. Yu, Eva L. H. Tsui, Pauline P. S. Woo, Carrie Siu Man Lui, Gilberto K. K. Leung

Frontiers Neuroinformatics, 2020

Unsupervised Cross-lingual Image Captioning.

Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu

CoRR, 2020

2019

Rank aggregation using latent-scale distance-based models.

Philip L. H. Yu, Hang Xu

Stat. Comput., 2019

Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion.

Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung

CoRR, 2019

Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images.

Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung

CoRR, 2019

2018

Angle-based models for ranking data.

Hang Xu, Mayer Alvo, Philip L. H. Yu

Comput. Stat. Data Anal., 2018

2017

High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood.

Philip L. H. Yu, Xiaohang Wang, Yuanyuan Zhu

Comput. Stat. Data Anal., 2017

2016

Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians.

Philip L. H. Yu, Paul H. Lee, S. F. Cheung, Esther Y. Y. Lau, Doris S. Y. Mok, Harry C. Hui

Comput. Stat., 2016

Diagnostic checking of the vector multiplicative error model.

F. C. Ng, Wai Keung Li, Philip L. H. Yu

Comput. Stat. Data Anal., 2016

Neural Machine Translation with External Phrase Memory.

Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu

CoRR, 2016

2015

Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars.

Philip L. H. Yu, Yaohua Tang

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014

Combining technical trading rules using particle swarm optimization.

Fei Wang, Philip L. H. Yu, David W. Cheung

Expert Syst. Appl., 2014

Zero-inflated Poisson regression mixture model.

Hwa Kyung Lim, Wai Keung Li, Philip L. H. Yu

Comput. Stat. Data Anal., 2014

Combining technical trading rules using parallel particle swarm optimization based on Hadoop.

Fei Wang, Philip L. H. Yu, David W. Cheung

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

An Algorithm of Fuzzy Collaborative Clustering based on Kernel Competitive Agglomeration.

Cui-Fang Gao, Xiao-Jun Wu, Philip L. H. Yu

J. Comput., 2013

Factor analysis for paired ranked data with application on parent-child value orientation preference data.

Philip L. H. Yu, Paul H. Lee, Wai Ming Wan

Comput. Stat., 2013

An Application of CUSUM Chart on Financial Trading.

Ling Xin, Philip L. H. Yu, Kin Lam

Proceedings of the Ninth International Conference on Computational Intelligence and Security, 2013

2012

Bilinear Probabilistic Principal Component Analysis.

Jianhua Zhao, Philip L. H. Yu, James T. Kwok

IEEE Trans. Neural Networks Learn. Syst., 2012

Separable linear discriminant analysis.

Jianhua Zhao, Philip L. H. Yu, Lei Shi, Shulan Li

Comput. Stat. Data Anal., 2012

Mixtures of weighted distance-based models for ranking data with applications in political studies.

Paul H. Lee, Philip L. H. Yu

Comput. Stat. Data Anal., 2012

A Bayesian conditional autoregressive geometric process model for range data.

Jennifer So-Kuen Chan, Connie P. Y. Lam, Philip L. H. Yu, S. T. Boris Choy, Cathy W. S. Chen

Comput. Stat. Data Anal., 2012

The Annals of Computational and Financial Econometrics, first issue.

David A. Belsley, Erricos John Kontoghiorghes, Herman K. van Dijk, Luc Bauwens, Siem Jan Koopman, Michael McAleer, Alessandra Amendola, Monica Billio, Christophe Croux, Cathy W. S. Chen, Russell Davidson, Pierre Duchesne, Paolo Foschi, Christian Francq, Ana-María Fuertes, Gary Koop, Lynda Khalaf, Marc S. Paolella, D. S. G. Pollock, Esther Ruiz, Richard Paap, Tommaso Proietti, Peter Winker, Philip L. H. Yu, Jean-Michel Zakoian, Achim Zeileis

Comput. Stat. Data Anal., 2012

Complex stock trading strategy based on Particle Swarm Optimization.

Fei Wang, Philip L. H. Yu, David W. Cheung

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

A note on the binomial model with simplex constraints.

Guo-Liang Tian, Kai Wang Ng, Philip L. H. Yu

Comput. Stat. Data Anal., 2011

Modeling threshold conditional heteroscedasticity with regime-dependent skewness and kurtosis.

Xixin Cheng, Wai Keung Li, Philip L. H. Yu, Xuan Zhou, Chao Wang, P. H. Lo

Comput. Stat. Data Anal., 2011

2010

A margin scheme that advises on when to change required margin.

Kin Lam, Philip L. H. Yu, Paul H. Lee

Eur. J. Oper. Res., 2010

Distance-based tree models for ranking data.

Paul H. Lee, Philip L. H. Yu

Comput. Stat. Data Anal., 2010

Separable Two-Dimensional Linear Discriminant Analysis.

Jianhua Zhao, Philip L. H. Yu, Shulan Li

Proceedings of the 19th International Conference on Computational Statistics, 2010

Mixtures of Weighted Distance-Based Models for Ranking Data.

Paul H. Lee, Philip L. H. Yu

Proceedings of the 19th International Conference on Computational Statistics, 2010

Decision Tree Modeling for Ranking Data.

Philip L. H. Yu, Wai Ming Wan, Paul H. Lee

Proceedings of the Preference Learning., 2010

2009

A note on variational Bayesian factor analysis.

Jianhua Zhao, Philip L. H. Yu

Neural Networks, 2009

A smoothed bootstrap test for independence based on mutual information.

Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li

Comput. Stat. Data Anal., 2009

Accumulator pricing.

Kin Lam, Philip L. H. Yu, Ling Xin

Proceedings of the 2009 IEEE Symposium on Computational Intelligence for Financial Engineering, 2009

2008

Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm.

Jianhua Zhao, Philip L. H. Yu

IEEE Trans. Neural Networks, 2008

ML estimation for factor analysis: EM or non-EM?

Jianhua Zhao, Philip L. H. Yu, Qibao Jiang

Stat. Comput., 2008

2006

ICLUS: A robust and scalable clustering model for time series via independent component analysis.

Edmond H. C. Wu, Philip L. H. Yu

Int. J. Syst. Sci., 2006

Pattern recognition of the term structure using independent component analysis.

Edmond HaoCun Wu, Philip L. H. Yu

Int. J. Pattern Recognit. Artif. Intell., 2006

Value at Risk Estimation Using Independent Component Analysis-generalized Autoregressive Conditional Heteroscedasticity (ica-garch) Models.

Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li

Int. J. Neural Syst., 2006

An Independent Component Ordering and Selection Procedure Based on the MSE Criterion.

Edmond HaoCun Wu, Philip L. H. Yu, Wai Keung Li

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models.

Edmond H. C. Wu, Philip L. H. Yu

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Independent Component Analysis for Clustering Multivariate Time Series Data.

Edmond H. C. Wu, Philip L. H. Yu

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

2003

Research Paper: Incentives and Barriers That Influence Clinical Computerization in Hong Kong: A Population-based Physician Survey.

Gabriel M. Leung, Philip L. H. Yu, Irene O. L. Wong, Janice M. Johnston, Keith Y. K. Tin

J. Am. Medical Informatics Assoc., 2003