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)

Independent Component Analysis for Clustering Multivariate Time Series Data. - Edmond H. C. Wu; Philip L. H. Yu (ADMA, 2005)

Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models. - Edmond H. C. Wu; Philip L. H. Yu (IDEAL, 2005)

An Independent Component Ordering and Selection Procedure Based on the MSE Criterion. - Edmond HaoCun Wu; Philip L. H. Yu; Wai Keung Li (ICA, 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)

Pattern recognition of the term structure using independent component analysis. - Edmond HaoCun Wu; Philip L. H. Yu (Int. J. Pattern Recognit. Artif. Intell., 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)

ML estimation for factor analysis: EM or non-EM? - Jianhua Zhao; Philip L. H. Yu; Qibao Jiang (Stat. Comput., 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)

Accumulator pricing. - Kin Lam; Philip L. H. Yu; Ling Xin (CIFEr, 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)

A note on variational Bayesian factor analysis. - Jianhua Zhao; Philip L. H. Yu (Neural Networks, 2009)

Decision Tree Modeling for Ranking Data. - Philip L. H. Yu; Wai Ming Wan; Paul H. Lee (Preference Learning, 2010)

Mixtures of Weighted Distance-Based Models for Ranking Data. - Paul H. Lee; Philip L. H. Yu (COMPSTAT, 2010)

Separable Two-Dimensional Linear Discriminant Analysis. - Jianhua Zhao; Philip L. H. Yu; Shulan Li (COMPSTAT, 2010)

Distance-based tree models for ranking data. - Paul H. Lee; Philip L. H. Yu (Comput. Stat. Data Anal., 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)

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)

A note on the binomial model with simplex constraints. - Guo-Liang Tian; Kai Wang Ng; Philip L. H. Yu (Comput. Stat. Data Anal., 2011)

Complex stock trading strategy based on Particle Swarm Optimization. - Fei Wang 034; Philip L. H. Yu; David W. Cheung (CIFEr, 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; et al. (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)

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)

Separable linear discriminant analysis. - Jianhua Zhao; Philip L. H. Yu; Lei Shi 004; Shulan Li (Comput. Stat. Data Anal., 2012)

Bilinear Probabilistic Principal Component Analysis. - Jianhua Zhao; Philip L. H. Yu; James T. Kwok (IEEE Trans. Neural Networks Learn. Syst., 2012)

An Application of CUSUM Chart on Financial Trading. - Ling Xin; Philip L. H. Yu; Kin Lam (CIS, 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 Algorithm of Fuzzy Collaborative Clustering based on Kernel Competitive Agglomeration. - Cui-Fang Gao; Xiao-Jun Wu 001; Philip L. H. Yu (J. Comput., 2013)

Combining technical trading rules using parallel particle swarm optimization based on Hadoop. - Fei Wang 034; Philip L. H. Yu; David W. Cheung (IJCNN, 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 particle swarm optimization. - Fei Wang 034; Philip L. H. Yu; David W. Cheung (Expert Syst. Appl., 2014)

Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars. - Philip L. H. Yu; Yaohua Tang (CICLing (1), 2015)

Neural Machine Translation with External Phrase Memory. - Yaohua Tang; Fandong Meng; Zhengdong Lu; Hang Li 001; Philip L. H. Yu (CoRR, 2016)

Diagnostic checking of the vector multiplicative error model. - F. C. Ng; Wai Keung Li; Philip L. H. Yu (Comput. Stat. Data Anal., 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)

High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood. - Philip L. H. Yu; Xiaohang Wang 006; Yuanyuan Zhu (Comput. Stat. Data Anal., 2017)

Angle-based models for ranking data. - Hang Xu 004; Mayer Alvo; Philip L. H. Yu (Comput. Stat. Data Anal., 2018)

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)

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)

Rank aggregation using latent-scale distance-based models. - Philip L. H. Yu; Hang Xu 004 (Stat. Comput., 2019)

Unsupervised Cross-lingual Image Captioning. - Jiahui Gao; Yi Zhou; Philip L. H. Yu; Jiuxiang Gu (CoRR, 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)

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)

CNN-based Realized Covariance Matrix Forecasting. - Yanwen Fang; Philip L. H. Yu; Yaohua Tang (CoRR, 2021)

Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. - Wenming Cao 004; 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)

AutoBERT-Zero: Evolving BERT Backbone from Scratch. - Jiahui Gao; Hang Xu 004; Han Shi; Xiaozhe Ren; Philip L. H. Yu; Xiaodan Liang; Xin Jiang 002; Zhenguo Li (AAAI, 2022)

UNISON: Unpaired Cross-Lingual Image Captioning. - Jiahui Gao; Yi Zhou; Philip L. H. Yu; Shafiq R. Joty; Jiuxiang Gu (AAAI, 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)

Bayesian robust tensor completion via CP decomposition. - Xiaohang Wang 009; Philip L. H. Yu; Weidong Yang 001; Jun Su (Pattern Recognit. Lett., 2022)

Joint latent space models for ranking data and social network. - Jiaqi Gu 005; Philip L. H. Yu (Stat. Comput., 2022)

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., 2023)

Developing "Learningverse" - A 3-D Metaverse Platform to Support Teaching, Social, and Cognitive Presences. - Yanjie Song 002; Jiaxin Cao; Kaiyi Wu; Philip Leung Ho Yu; John Chi-Kin Lee (IEEE Trans. Learn. Technol., 2023)

Enhancing Language Learning Through Multimodal AI-Driven Feedback on Picture Descriptions: An Eye-Tracking Study. - Ruibin Zhao; Zhiwei Xie 006; Yipeng Zhuang; Huixian Li; Philip L. H. Yu (ICCE, 2024)

Adaptive meta-knowledge transfer network for few-shot object detection in very high resolution remote sensing images. - Xi Chen 004; Wanyue Jiang; Honggang Qi; Min Liu; Heping Ma; Philip L. H. Yu; Ying Wen 003; Zhen Han 007; Shuqi Zhang; Guitao Cao (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Facilitating self-directed language learning in real-life scene description tasks with automated evaluation. - Ruibin Zhao; Yipeng Zhuang; Zhiwei Xie 006; Philip L. H. Yu (Comput. Educ., 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)

KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images. - Xi Chen 004; Liyue Li; Zhihong Li; Min Liu; Qingli Li; Honggang Qi; Dongliang Ma; Ying Wen 003; Guitao Cao; Philip L. H. Yu (Eng. Appl. Artif. Intell., 2024)

Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks. - Ruibin Zhao; Zhiwei Xie 006; Yipeng Zhuang; Philip L. H. Yu (Int. J. Neural Syst., 2024)

Variable selection for high-dimensional incomplete data. - Lixing Liang; Yipeng Zhuang; Philip L. H. Yu (Comput. Stat. Data Anal., 2024)

Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies. - Chung Kwan Lo; Philip Leung Ho Yu; Simin Xu; Davy Tsz Kit Ng; Morris Siu-yung Jong (Smart Learn. Environ., 2024)

Dissolved oxygen prediction in the Dianchi River basin with explainable artificial intelligence based on physical prior knowledge. - Junhao Wu; Xi Chen 004; Jinghan Dong; Nen Tan; Xiaoping Liu; Antonis Chatzipavlis; Philip L. H. Yu; Adonis Velegrakis; Yining Wang; Yonggui Huang; Heqin Cheng; Diankai Wang (Environ. Model. Softw., 2025)

Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion. - Jianhua Zhao; Changchun Shang; Shulan Li; Ling Xin; Philip L. H. Yu (Adv. Data Anal. Classif., 2025)

Personalized stem education empowered by artificial intelligence: a comprehensive review and content analysis. - Daner Sun; Gary Cheng 001; Philip Leung Ho Yu; Jiyou Jia; Zhizi Zheng; Angxuan Chen (Interact. Learn. Environ., 2025)