Philip L. H. Yu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 23

Top Topics

Ischemic Stroke

Top Venues

Comput. Stat. Data Anal.

Publications

Lixing Liang, Yipeng Zhuang, Philip L. H. Yu
Variable selection for high-dimensional incomplete data. Comput. Stat. Data Anal. 192 (2024)
Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu
Robust bilinear factor analysis based on the matrix-variate t distribution. CoRR (2024)
Ruibin Zhao, Yipeng Zhuang, Di Zou, Qin Xie, Philip L. H. Yu
AI-assisted automated scoring of picture-cued writing tasks for language assessment. Educ. Inf. Technol. 28 (6) (2023)
Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI (2022)
Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion. CoRR (2022)
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu
UNISON: Unpaired Cross-Lingual Image Captioning. AAAI (2022)
Xiaohang Wang, Philip L. H. Yu, Weidong Yang, Jun Su
Bayesian robust tensor completion via CP decomposition. Pattern Recognit. Lett. 163 (2022)
Jiaqi Gu, Philip L. H. Yu
Joint latent space models for ranking data and social network. Stat. Comput. 32 (3) (2022)
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
3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation. Comput. Medical Imaging Graph. 90 (2021)
Wenming Cao, Philip L. H. Yu, Gilbert C. S. Lui, Keith W. H. Chiu, Ho-Ming Cheng, Yanwen Fang, Man-Fung Yuen, Wai-Kay Seto
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. CoRR (2021)
Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR (2021)
Yanwen Fang, Philip L. H. Yu, Yaohua Tang
CNN-based Realized Covariance Matrix Forecasting. CoRR (2021)
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
Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke. Frontiers Neuroinformatics 14 (2020)
Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu
Unsupervised Cross-lingual Image Captioning. CoRR (2020)
Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images. CoRR (2019)
Philip L. H. Yu, Hang Xu
Rank aggregation using latent-scale distance-based models. Stat. Comput. 29 (2) (2019)
Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion. CoRR (2019)
Hang Xu, Mayer Alvo, Philip L. H. Yu
Angle-based models for ranking data. Comput. Stat. Data Anal. 121 (2018)
Philip L. H. Yu, Xiaohang Wang, Yuanyuan Zhu
High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood. Comput. Stat. Data Anal. 114 (2017)
F. C. Ng, Wai Keung Li, Philip L. H. Yu
Diagnostic checking of the vector multiplicative error model. Comput. Stat. Data Anal. 94 (2016)
Philip L. H. Yu, Paul H. Lee, S. F. Cheung, Esther Y. Y. Lau, Doris S. Y. Mok, Harry C. Hui
Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians. Comput. Stat. 31 (2) (2016)
Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
Neural Machine Translation with External Phrase Memory. CoRR (2016)
Philip L. H. Yu, Yaohua Tang
Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars. CICLing (1) (2015)
Hwa Kyung Lim, Wai Keung Li, Philip L. H. Yu
Zero-inflated Poisson regression mixture model. Comput. Stat. Data Anal. 71 (2014)
Fei Wang, Philip L. H. Yu, David W. Cheung
Combining technical trading rules using parallel particle swarm optimization based on Hadoop. IJCNN (2014)
Fei Wang, Philip L. H. Yu, David W. Cheung
Combining technical trading rules using particle swarm optimization. Expert Syst. Appl. 41 (6) (2014)
Ling Xin, Philip L. H. Yu, Kin Lam
An Application of CUSUM Chart on Financial Trading. CIS (2013)
Philip L. H. Yu, Paul H. Lee, Wai Ming Wan
Factor analysis for paired ranked data with application on parent-child value orientation preference data. Comput. Stat. 28 (5) (2013)
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 Paolella, D. S. G. Pollock, Esther Ruiz, Richard Paap, Tommaso Proietti, Peter Winker, Philip L. H. Yu, Jean-Michel Zakoian, Achim Zeileis
The Annals of Computational and Financial Econometrics, first issue. Comput. Stat. Data Anal. 56 (11) (2012)
Fei Wang, Philip L. H. Yu, David W. Cheung
Complex stock trading strategy based on Particle Swarm Optimization. CIFEr (2012)
Paul H. Lee, Philip L. H. Yu
Mixtures of weighted distance-based models for ranking data with applications in political studies. Comput. Stat. Data Anal. 56 (8) (2012)
Jianhua Zhao, Philip L. H. Yu, James T. Kwok
Bilinear Probabilistic Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 23 (3) (2012)
Jianhua Zhao, Philip L. H. Yu, Lei Shi, Shulan Li
Separable linear discriminant analysis. Comput. Stat. Data Anal. 56 (12) (2012)
Jennifer So-Kuen Chan, Connie P. Y. Lam, Philip L. H. Yu, S. T. Boris Choy, Cathy W. S. Chen
A Bayesian conditional autoregressive geometric process model for range data. Comput. Stat. Data Anal. 56 (11) (2012)
Xixin Cheng, Wai Keung Li, Philip L. H. Yu, Xuan Zhou, Chao Wang, P. H. Lo
Modeling threshold conditional heteroscedasticity with regime-dependent skewness and kurtosis. Comput. Stat. Data Anal. 55 (9) (2011)
Guo-Liang Tian, Kai Wang Ng, Philip L. H. Yu
A note on the binomial model with simplex constraints. Comput. Stat. Data Anal. 55 (12) (2011)
Paul H. Lee, Philip L. H. Yu
Distance-based tree models for ranking data. Comput. Stat. Data Anal. 54 (6) (2010)
Kin Lam, Philip L. H. Yu, Paul H. Lee
A margin scheme that advises on when to change required margin. Eur. J. Oper. Res. 207 (1) (2010)
Jianhua Zhao, Philip L. H. Yu, Shulan Li
Separable Two-Dimensional Linear Discriminant Analysis. COMPSTAT (2010)
Paul H. Lee, Philip L. H. Yu
Mixtures of Weighted Distance-Based Models for Ranking Data. COMPSTAT (2010)
Jianhua Zhao, Philip L. H. Yu
A note on variational Bayesian factor analysis. Neural Networks 22 (7) (2009)
Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li
A smoothed bootstrap test for independence based on mutual information. Comput. Stat. Data Anal. 53 (7) (2009)
Kin Lam, Philip L. H. Yu, Ling Xin
Accumulator pricing. CIFEr (2009)
Jianhua Zhao, Philip L. H. Yu, Qibao Jiang
ML estimation for factor analysis: EM or non-EM? Stat. Comput. 18 (2) (2008)
Jianhua Zhao, Philip L. H. Yu
Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm. IEEE Trans. Neural Networks 19 (11) (2008)
Edmond H. C. Wu, Philip L. H. Yu
ICLUS: A robust and scalable clustering model for time series via independent component analysis. Int. J. Syst. Sci. 37 (13) (2006)
Edmond HaoCun Wu, Philip L. H. Yu, Wai Keung Li
An Independent Component Ordering and Selection Procedure Based on the MSE Criterion. ICA (2006)
Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li
Value at Risk Estimation Using Independent Component Analysis-generalized Autoregressive Conditional Heteroscedasticity (ica-garch) Models. Int. J. Neural Syst. 16 (5) (2006)
Edmond HaoCun Wu, Philip L. H. Yu
Pattern recognition of the term structure using independent component analysis. Int. J. Pattern Recognit. Artif. Intell. 20 (2) (2006)
Edmond H. C. Wu, Philip L. H. Yu
Independent Component Analysis for Clustering Multivariate Time Series Data. ADMA (2005)
Edmond H. C. Wu, Philip L. H. Yu
Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models. IDEAL (2005)
Gabriel M. Leung, Philip L. H. Yu, Irene O. L. Wong, Janice M. Johnston, Keith Y. K. Tin
Research Paper: Incentives and Barriers That Influence Clinical Computerization in Hong Kong: A Population-based Physician Survey. J. Am. Medical Informatics Assoc. 10 (2) (2003)