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Philip L. H. Yu
Person information
- unicode name: 楊良河
- affiliation: Education University of Hong Kong, Departement of Mathematics and Information Technology, Hong Kong
- affiliation: University of Hong Kong, Department of Statistics and Actuarial Science, Hong Kong
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2020 – today
- 2024
- [j36]Ruibin Zhao
, Yipeng Zhuang, Zhiwei Xie
, Philip L. H. Yu
:
Facilitating self-directed language learning in real-life scene description tasks with automated evaluation. Comput. Educ. 219: 105106 (2024) - [j35]Lixing Liang, Yipeng Zhuang, Philip L. H. Yu
:
Variable selection for high-dimensional incomplete data. Comput. Stat. Data Anal. 192: 107877 (2024) - [j34]Xi Chen, Liyue Li, Zhihong Li, Min Liu, Qingli Li, Honggang Qi
, Dongliang Ma, Ying Wen, Guitao Cao, Philip L. H. Yu:
KD loss: Enhancing discriminability of features with kernel trick for object detection in VHR remote sensing images. Eng. Appl. Artif. Intell. 129: 107641 (2024) - [j33]Ruibin Zhao
, Zhiwei Xie
, Yipeng Zhuang
, Philip L. H. Yu
:
Automated Quality Evaluation of Large-Scale Benchmark Datasets for Vision-Language Tasks. Int. J. Neural Syst. 34(3): 2450009:1-2450009:17 (2024) - [i9]Xuan Ma, Jianhua Zhao, Changchun Shang, Fen Jiang, Philip L. H. Yu:
Robust bilinear factor analysis based on the matrix-variate t distribution. CoRR abs/2401.02203 (2024) - 2023
- [j32]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): 7031-7063 (2023) - [j31]Yanjie Song
, Jiaxin Cao, Kaiyi Wu, Philip Leung Ho Yu, John Chi-Kin Lee
:
Developing "Learningverse" - A 3-D Metaverse Platform to Support Teaching, Social, and Cognitive Presences. IEEE Trans. Learn. Technol. 16(6): 1165-1178 (2023) - 2022
- [j30]Xiaohang Wang
, Philip L. H. Yu
, Weidong Yang
, Jun Su
:
Bayesian robust tensor completion via CP decomposition. Pattern Recognit. Lett. 163: 121-128 (2022) - [j29]Jiaqi Gu
, Philip L. H. Yu
:
Joint latent space models for ranking data and social network. Stat. Comput. 32(3): 51 (2022) - [c12]Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq R. Joty, Jiuxiang Gu:
UNISON: Unpaired Cross-Lingual Image Captioning. AAAI 2022: 10654-10662 - [c11]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: 10663-10671 - [i8]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 abs/2204.09086 (2022) - 2021
- [j28]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: 101898 (2021) - [i7]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 abs/2107.07445 (2021) - [i6]Yanwen Fang, Philip L. H. Yu, Yaohua Tang:
CNN-based Realized Covariance Matrix Forecasting. CoRR abs/2107.10602 (2021) - [i5]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:
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation. CoRR abs/2107.11645 (2021) - 2020
- [j27]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: 13 (2020) - [i4]Jiahui Gao, Yi Zhou
, Philip L. H. Yu, Jiuxiang Gu:
Unsupervised Cross-lingual Image Captioning. CoRR abs/2010.01288 (2020)
2010 – 2019
- 2019
- [j26]Philip L. H. Yu
, Hang Xu
:
Rank aggregation using latent-scale distance-based models. Stat. Comput. 29(2): 335-349 (2019) - [i3]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 abs/1905.09049 (2019) - [i2]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 abs/1906.08059 (2019) - 2018
- [j25]Hang Xu
, Mayer Alvo, Philip L. H. Yu
:
Angle-based models for ranking data. Comput. Stat. Data Anal. 121: 113-136 (2018) - 2017
- [j24]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: 12-25 (2017) - 2016
- [j23]F. C. Ng
, Wai Keung Li, Philip L. H. Yu:
Diagnostic checking of the vector multiplicative error model. Comput. Stat. Data Anal. 94: 86-97 (2016) - [j22]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): 799-827 (2016) - [i1]Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu:
Neural Machine Translation with External Phrase Memory. CoRR abs/1606.01792 (2016) - 2015
- [c10]Philip L. H. Yu, Yaohua Tang:
Bayesian Finite Mixture Models for Probabilistic Context-Free Grammars. CICLing (1) 2015: 201-212 - 2014
- [j21]Hwa Kyung Lim, Wai Keung Li, Philip L. H. Yu:
Zero-inflated Poisson regression mixture model. Comput. Stat. Data Anal. 71: 151-158 (2014) - [j20]Fei Wang, Philip L. H. Yu, David W. Cheung:
Combining technical trading rules using particle swarm optimization. Expert Syst. Appl. 41(6): 3016-3026 (2014) - [c9]Fei Wang, Philip L. H. Yu, David W. Cheung:
Combining technical trading rules using parallel particle swarm optimization based on Hadoop. IJCNN 2014: 3987-3994 - 2013
- [j19]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): 1915-1945 (2013) - [j18]Cui-Fang Gao, Xiao-Jun Wu, Philip L. H. Yu:
An Algorithm of Fuzzy Collaborative Clustering based on Kernel Competitive Agglomeration. J. Comput. 8(10): 2623-2631 (2013) - [c8]Ling Xin, Philip L. H. Yu, Kin Lam:
An Application of CUSUM Chart on Financial Trading. CIS 2013: 178-181 - 2012
- [j17]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): 2486-2500 (2012) - [j16]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
:
The Annals of Computational and Financial Econometrics, first issue. Comput. Stat. Data Anal. 56(11): 2991-2992 (2012) - [j15]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): 3006-3019 (2012) - [j14]Jianhua Zhao
, Philip L. H. Yu, Lei Shi, Shulan Li:
Separable linear discriminant analysis. Comput. Stat. Data Anal. 56(12): 4290-4300 (2012) - [j13]Jianhua Zhao
, Philip L. H. Yu, James T. Kwok:
Bilinear Probabilistic Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 23(3): 492-503 (2012) - [c7]Fei Wang, Philip L. H. Yu, David W. Cheung:
Complex stock trading strategy based on Particle Swarm Optimization. CIFEr 2012: 1-6 - 2011
- [j12]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): 2590-2604 (2011) - [j11]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): 3381-3385 (2011) - 2010
- [j10]Paul H. Lee
, Philip L. H. Yu:
Distance-based tree models for ranking data. Comput. Stat. Data Anal. 54(6): 1672-1682 (2010) - [j9]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): 524-530 (2010) - [c6]Paul H. Lee
, Philip L. H. Yu:
Mixtures of Weighted Distance-Based Models for Ranking Data. COMPSTAT 2010: 517-524 - [c5]Jianhua Zhao, Philip L. H. Yu, Shulan Li:
Separable Two-Dimensional Linear Discriminant Analysis. COMPSTAT 2010: 597-604 - [p1]Philip L. H. Yu, Wai Ming Wan, Paul H. Lee
:
Decision Tree Modeling for Ranking Data. Preference Learning 2010: 83-106
2000 – 2009
- 2009
- [j8]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): 2524-2536 (2009) - [j7]Jianhua Zhao
, Philip L. H. Yu:
A note on variational Bayesian factor analysis. Neural Networks 22(7): 988-997 (2009) - [c4]Kin Lam, Philip L. H. Yu, Ling Xin:
Accumulator pricing. CIFEr 2009: 72-79 - 2008
- [j6]Jianhua Zhao
, Philip L. H. Yu, Qibao Jiang:
ML estimation for factor analysis: EM or non-EM? Stat. Comput. 18(2): 109-123 (2008) - [j5]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): 1956-1961 (2008) - 2006
- [j4]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): 371-382 (2006) - [j3]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): 173-188 (2006) - [j2]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): 987-1001 (2006) - [c3]Edmond HaoCun Wu, Philip L. H. Yu, Wai Keung Li:
An Independent Component Ordering and Selection Procedure Based on the MSE Criterion. ICA 2006: 286-294 - 2005
- [c2]Edmond H. C. Wu, Philip L. H. Yu:
Independent Component Analysis for Clustering Multivariate Time Series Data. ADMA 2005: 474-482 - [c1]Edmond H. C. Wu, Philip L. H. Yu:
Volatility Modelling of Multivariate Financial Time Series by Using ICA-GARCH Models. IDEAL 2005: 571-579 - 2003
- [j1]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): 201-212 (2003)
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last updated on 2024-08-03 20:13 CEST by the dblp team
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