Общедоступные статьи - Philip S. YuПодробнее...
118 статей недоступны нигде
Domain invariant transfer kernel learning
M Long, J Wang, J Sun, SY Philip
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1519-1532, 2014
Финансирование: National Natural Science Foundation of China
Deep learning of transferable representation for scalable domain adaptation
M Long, J Wang, Y Cao, J Sun, SY Philip
IEEE Transactions on Knowledge and Data Engineering 28 (8), 2027-2040, 2016
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Multi-view clustering based on belief propagation
CD Wang, JH Lai, SY Philip
IEEE Transactions on Knowledge and Data Engineering 28 (4), 1007-1021, 2015
Финансирование: National Natural Science Foundation of China
An unsupervised parameter learning model for RVFL neural network
Y Zhang, J Wu, Z Cai, B Du, SY Philip
Neural Networks 112, 85-97, 2019
Финансирование: National Natural Science Foundation of China
EHR coding with multi-scale feature attention and structured knowledge graph propagation
X Xie, Y Xiong, PS Yu, Y Zhu
Proceedings of the 28th ACM international conference on information and …, 2019
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Heterogeneous graph propagation network
H Ji, X Wang, C Shi, B Wang, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (1), 521-532, 2021
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Mining invisible tasks in non-free-choice constructs
Q Guo, L Wen, J Wang, Z Yan, PS Yu
International Conference on Business Process Management, 109-125, 2015
Финансирование: National Natural Science Foundation of China
Top-k similarity join in heterogeneous information networks
Y Xiong, Y Zhu, SY Philip
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1710-1723, 2014
Финансирование: National Natural Science Foundation of China
Graph stream classification using labeled and unlabeled graphs
S Pan, X Zhu, C Zhang, SY Philip
2013 IEEE 29th International Conference on Data Engineering (ICDE), 398-409, 2013
Финансирование: Australian Research Council
A robust game-theoretical federated learning framework with joint differential privacy
L Zhang, T Zhu, P Xiong, W Zhou, SY Philip
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3333-3346, 2022
Финансирование: US National Science Foundation, Australian Research Council
Joint stance and rumor detection in hierarchical heterogeneous graph
C Li, H Peng, J Li, L Sun, L Lyu, L Wang, SY Philip, L He
IEEE transactions on neural networks and learning systems 33 (6), 2530-2542, 2021
Финансирование: US National Science Foundation, US Department of Defense, National Natural …
Cognitive structure learning model for hierarchical multi-label text classification
B Wang, X Hu, P Li, SY Philip
Knowledge-Based Systems 218, 106876, 2021
Финансирование: National Natural Science Foundation of China
Social image sentiment analysis by exploiting multimodal content and heterogeneous relations
J Xu, Z Li, F Huang, C Li, SY Philip
IEEE Transactions on Industrial Informatics 17 (4), 2974-2982, 2020
Финансирование: National Natural Science Foundation of China
Extracting diverse-shapelets for early classification on time series
W Yan, G Li, Z Wu, S Wang, PS Yu
World Wide Web 23, 3055-3081, 2020
Финансирование: National Natural Science Foundation of China
Balancing learning model privacy, fairness, and accuracy with early stopping criteria
T Zhang, T Zhu, K Gao, W Zhou, SY Philip
IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5557-5569, 2021
Финансирование: US National Science Foundation, Australian Research Council
Estimating urban traffic congestions with multi-sourced data
S Wang, L He, L Stenneth, SY Philip, Z Li, Z Huang
2016 17th IEEE International conference on mobile data management (MDM) 1, 82-91, 2016
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Based cross-domain recommendation through joint tensor factorization
T Song, Z Peng, S Wang, W Fu, X Hong, PS Yu
Database Systems for Advanced Applications: 22nd International Conference …, 2017
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Heterogeneous neural attentive factorization machine for rating prediction
L Chen, Y Liu, Z Zheng, P Yu
Proceedings of the 27th ACM international conference on information and …, 2018
Финансирование: National Natural Science Foundation of China
Differentially private model publishing in cyber physical systems
T Zhu, P Xiong, G Li, W Zhou, SY Philip
Future generation computer systems 108, 1297-1306, 2020
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Recommendation for repeat consumption from user implicit feedback
J Chen, C Wang, J Wang, SY Philip
IEEE transactions on knowledge and data engineering 28 (11), 3083-3097, 2016
Финансирование: National Natural Science Foundation of China
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