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ORCIDPhilip 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
Other persons with a similar name
- Philip Yu-Jen Su — National Taiwan University of Science and Technology, Department of Information Management, Taipei, Taiwan
- Philip Yu — disambiguation page
- Philip S. Yu
![[0000-0002-3491-5968]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3491-5968")
— University of Illinois at Chicago, Department of Computer Science, Chicago, IL, USA (and 1 more)
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2020 – today
- 2024
[j38]Xi Chen, Wanyue Jiang, Honggang Qi, Min Liu, Heping Ma, Philip L. H. Yu, Ying Wen, Zhen Han, Shuqi Zhang, Guitao Cao:
Adaptive meta-knowledge transfer network for few-shot object detection in very high resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 127: 103675 (2024)- [j37]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) - [j36]Lixing Liang, Yipeng Zhuang, Philip L. H. Yu:
Variable selection for high-dimensional incomplete data. Comput. Stat. Data Anal. 192: 107877 (2024) - [j35]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) - [j34]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) - [j33]Chung Kwan Lo, Philip Leung Ho Yu, Simin Xu, Davy Tsz Kit Ng, Morris Siu-yung Jong:
Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies. Smart Learn. Environ. 11(1): 50 (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)
Coauthor Index
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