Philip L. H. Yu

65 papers A* 2B 1C 4Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Preference modeling with multi-graph graph attention network. Neurocomputing Yipeng Zhuang, Chenlu Wang, Philip L. H. Yu
2026	J	`jnl`	Robust bilinear factor analysis based on the matrix-variate t distribution. J. Multivar. Anal. Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu
2025	J	`jnl`	Choosing the number of factors in factor analysis with incomplete data via a novel hierarchical Bayesian information criterion. Adv. Data Anal. Classif. Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
2025	J	`jnl`	Dissolved oxygen prediction in the Dianchi River basin with explainable artificial intelligence based on physical prior knowledge. Environ. Model. Softw. Junhao Wu, Xi Chen, Jinghan Dong, Nen Tan, Xiaoping Liu, Antonis Chatzipavlis, Philip L. H. Yu, Adonis Velegrakis, Yining Wang, Yonggui Huang, Heqin Cheng, Diankai Wang
2025	J	`jnl`	Enhancing language learning through generative AI feedback on picture-cued writing tasks. Comput. Educ. Artif. Intell. Yipeng Zhuang, Ruibin Zhao, Zhiwei Xie, Philip L. H. Yu
2025	J	`jnl`	Level-specific feedback generation for scene descriptions via fine-tuning multimodal large language models. Comput. Educ. Artif. Intell. Zhiwei Xie, Tse-Tin Chan, Philip L. H. Yu
2024	J	`jnl`	Adaptive meta-knowledge transfer network for few-shot object detection in very high resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation Xi Chen, Wanyue Jiang, Honggang Qi, Min Liu, Heping Ma, Philip L. H. Yu, Ying Wen, Zhen Han, Shuqi Zhang, Guitao Cao
2024	J	`jnl`	Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks. Int. J. Neural Syst. Ruibin Zhao, Zhiwei Xie, Yipeng Zhuang, Philip L. H. Yu
2024	C	`conf`	Enhancing Language Learning Through Multimodal AI-Driven Feedback on Picture Descriptions: An Eye-Tracking Study. ICCE Ruibin Zhao, Zhiwei Xie, Yipeng Zhuang, Huixian Li, Philip L. H. Yu
2024	J	`jnl`	Facilitating self-directed language learning in real-life scene description tasks with automated evaluation. Comput. Educ. Ruibin Zhao, Yipeng Zhuang, Zhiwei Xie, Philip L. H. Yu
2024	J	`jnl`	KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images. Eng. Appl. Artif. Intell. Xi Chen, Liyue Li, Zhihong Li, Min Liu, Qingli Li, Honggang Qi, Dongliang Ma, Ying Wen, Guitao Cao, Philip L. H. Yu
2024	J	`jnl`	Robust bilinear factor analysis based on the matrix-variate t distribution. CoRR Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu
2024	J	`jnl`	Variable selection for high-dimensional incomplete data. Comput. Stat. Data Anal. Lixing Liang, Yipeng Zhuang, Philip L. H. Yu
2023	J	`jnl`	AI-assisted automated scoring of picture-cued writing tasks for language assessment. Educ. Inf. Technol. Ruibin Zhao, Yipeng Zhuang, Di Zou, Qin Xie, Philip L. H. Yu
2022	A*	`conf`	AutoBERT-Zero: Evolving BERT Backbone from Scratch. AAAI Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
2022	J	`jnl`	Bayesian robust tensor completion via CP decomposition. Pattern Recognit. Lett. Xiaohang Wang, Philip L. H. Yu, Weidong Yang, Jun Su
2022	J	`jnl`	Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion. CoRR Jianhua Zhao, Changchun Shang, Shulan Li, Ling Xin, Philip L. H. Yu
2022	J	`jnl`	Joint latent space models for ranking data and social network. Stat. Comput. Jiaqi Gu, Philip L. H. Yu
2022	A*	`conf`	UNISON: Unpaired Cross-Lingual Image Captioning. AAAI Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu
2021	J	`jnl`	3D dissimilar-siamese-u-net for hyperdense Middle cerebral artery sign segmentation. Comput. Medical Imaging Graph. 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
2021	J	`jnl`	AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li
2021	J	`jnl`	CNN-based Realized Covariance Matrix Forecasting. CoRR Yanwen Fang, Philip L. H. Yu, Yaohua Tang
2021	J	`jnl`	Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. CoRR 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
2020	J	`jnl`	Automated Hierarchy Evaluation System of Large Vessel Occlusion in Acute Ischemia Stroke. Frontiers Neuroinformatics 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
2020	J	`jnl`	Unsupervised Cross-lingual Image Captioning. CoRR Jiahui Gao, Yi Zhou, Philip L. H. Yu, Jiuxiang Gu
2019	J	`jnl`	Automated Computer Evaluation of Acute Ischemic Stroke and Large Vessel Occlusion. CoRR Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
2019	J	`jnl`	Automated Segmentation for Hyperdense Middle Cerebral Artery Sign of Acute Ischemic Stroke on Non-Contrast CT Images. CoRR Jia You, Philip L. H. Yu, Anderson C. O. Tsang, Eva L. H. Tsui, Pauline P. S. Woo, Gilberto K. K. Leung
2019	J	`jnl`	Rank aggregation using latent-scale distance-based models. Stat. Comput. Philip L. H. Yu, Hang Xu
2018	J	`jnl`	Angle-based models for ranking data. Comput. Stat. Data Anal. Hang Xu, Mayer Alvo, Philip L. H. Yu
2017	J	`jnl`	High dimensional covariance matrix estimation by penalizing the matrix-logarithm transformed likelihood. Comput. Stat. Data Anal. Philip L. H. Yu, Xiaohang Wang, Yuanyuan Zhu
2016	J	`jnl`	Diagnostic checking of the vector multiplicative error model. Comput. Stat. Data Anal. Fo Chun Ng, Wai Keung Li, Philip L. H. Yu
2016	J	`jnl`	Logit tree models for discrete choice data with application to advice-seeking preferences among Chinese Christians. Comput. Stat. Philip L. H. Yu, Paul H. Lee, Shu Fai Cheung, Esther Y. Y. Lau, Doris S. Y. Mok, Harry C. Hui
2016	J	`jnl`	Neural Machine Translation with External Phrase Memory. CoRR Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu
2015	—	`conf`	Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars. CICLing (1) Philip L. H. Yu, Yaohua Tang
2014	B	`conf`	Combining technical trading rules using parallel particle swarm optimization based on Hadoop. IJCNN Fei Wang, Philip L. H. Yu, David W. Cheung
2014	J	`jnl`	Combining technical trading rules using particle swarm optimization. Expert Syst. Appl. Fei Wang, Philip L. H. Yu, David W. Cheung
2014	J	`jnl`	Zero-inflated Poisson regression mixture model. Comput. Stat. Data Anal. Hwa Kyung Lim, Wai Keung Li, Philip L. H. Yu
2013	J	`jnl`	An Algorithm of Fuzzy Collaborative Clustering based on Kernel Competitive Agglomeration. J. Comput. Cui-Fang Gao, Xiao-Jun Wu, Philip L. H. Yu
2013	C	`conf`	An Application of CUSUM Chart on Financial Trading. CIS Ling Xin, Philip L. H. Yu, Kin Lam
2013	J	`jnl`	Factor analysis for paired ranked data with application on parent-child value orientation preference data. Comput. Stat. Philip L. H. Yu, Paul H. Lee, Wai Ming Wan
2012	J	`jnl`	A Bayesian conditional autoregressive geometric process model for range data. Comput. Stat. Data Anal. Jennifer So-Kuen Chan, Connie P. Y. Lam, Philip L. H. Yu, S. T. Boris Choy, Cathy W. S. Chen
2012	J	`jnl`	Bilinear Probabilistic Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Jianhua Zhao, Philip L. H. Yu, James T. Kwok
2012	—	`conf`	Complex stock trading strategy based on Particle Swarm Optimization. CIFEr Fei Wang, Philip L. H. Yu, David W. Cheung
2012	J	`jnl`	Mixtures of weighted distance-based models for ranking data with applications in political studies. Comput. Stat. Data Anal. Paul H. Lee, Philip L. H. Yu
2012	J	`jnl`	Separable linear discriminant analysis. Comput. Stat. Data Anal. Jianhua Zhao, Philip L. H. Yu, Lei Shi, Shulan Li
2012	J	`jnl`	The Annals of Computational and Financial Econometrics, first issue. Comput. Stat. Data Anal. 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
2011	J	`jnl`	A note on the binomial model with simplex constraints. Comput. Stat. Data Anal. Guo-Liang Tian, Kai Wang Ng, Philip L. H. Yu
2011	J	`jnl`	Modeling threshold conditional heteroscedasticity with regime-dependent skewness and kurtosis. Comput. Stat. Data Anal. Xixin Cheng, Wai Keung Li, Philip L. H. Yu, Xuan Zhou, Chao Wang, P. H. Lo
2010	J	`jnl`	A margin scheme that advises on when to change required margin. Eur. J. Oper. Res. Kin Lam, Philip L. H. Yu, Paul H. Lee
2010	—	`ch.`	Decision Tree Modeling for Ranking Data. Preference Learning Philip L. H. Yu, Wai Ming Wan, Paul H. Lee
2010	J	`jnl`	Distance-based tree models for ranking data. Comput. Stat. Data Anal. Paul H. Lee, Philip L. H. Yu
2010	—	`conf`	Mixtures of Weighted Distance-Based Models for Ranking Data. COMPSTAT Paul H. Lee, Philip L. H. Yu
2010	—	`conf`	Separable Two-Dimensional Linear Discriminant Analysis. COMPSTAT Jianhua Zhao, Philip L. H. Yu, Shulan Li
2009	J	`jnl`	A note on variational Bayesian factor analysis. Neural Networks Jianhua Zhao, Philip L. H. Yu
2009	J	`jnl`	A smoothed bootstrap test for independence based on mutual information. Comput. Stat. Data Anal. Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li
2009	—	`conf`	Accumulator pricing. CIFEr Kin Lam, Philip L. H. Yu, Ling Xin
2008	J	`jnl`	Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm. IEEE Trans. Neural Networks Jianhua Zhao, Philip L. H. Yu
2008	J	`jnl`	ML estimation for factor analysis: EM or non-EM? Stat. Comput. Jianhua Zhao, Philip L. H. Yu, Qibao Jiang
2006	—	`conf`	An Independent Component Ordering and Selection Procedure Based on the MSE Criterion. ICA Edmond HaoCun Wu, Philip L. H. Yu, Wai Keung Li
2006	J	`jnl`	ICLUS: A robust and scalable clustering model for time series via independent component analysis. Int. J. Syst. Sci. Edmond H. C. Wu, Philip L. H. Yu
2006	J	`jnl`	Pattern recognition of the term structure using independent component analysis. Int. J. Pattern Recognit. Artif. Intell. Edmond HaoCun Wu, Philip L. H. Yu
2006	J	`jnl`	Value at Risk Estimation Using Independent Component Analysis-generalized Autoregressive Conditional Heteroscedasticity (ica-garch) Models. Int. J. Neural Syst. Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li
2005	C	`conf`	Independent Component Analysis for Clustering Multivariate Time Series Data. ADMA Edmond H. C. Wu, Philip L. H. Yu
2005	C	`conf`	Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models. IDEAL Edmond H. C. Wu, Philip L. H. Yu
2003	J	`jnl`	Research Paper: Incentives and Barriers That Influence Clinical Computerization in Hong Kong: A Population-based Physician Survey. J. Am. Medical Informatics Assoc. Gabriel M. Leung, Philip L. H. Yu, Irene O. L. Wong, Janice M. Johnston, Keith Y. K. Tin