Assistant Professor, School of Computing and Information Systems, Singapore Management University
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Cited by
Cited by
Adversarial Learning on Heterogeneous Information Networks
B Hu, Y Fang, C Shi
ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 2019
Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation
Y Lu, Y Fang, C Shi
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Semantic Proximity Search on Graphs with Metagraph-based Learning
Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, X Li
International Conference on Data Engineering (ICDE), 2016
Object Detection Meets Knowledge Graphs
Y Fang, K Kuan, J Lin, C Tan, V Chandrasekhar
International Joint Conference on Artificial Intelligence (IJCAI), 2017
Entity linking on microblogs with spatial and temporal signals
Y Fang, MW Chang
Transactions of ACL (TACL) 2 (Oct), 259-272, 2014
Incremental and accuracy-aware personalized pagerank through scheduled approximation
F Zhu, Y Fang, KCC Chang, J Ying
Proceedings of the VLDB Endowment 6 (6), 481-492, 2013
Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality
Y Fang, KCC Chang
Proceedings of the fourth ACM international conference on Web search and …, 2011
Correlation-sensitive next-basket recommendation
DT Le, HW Lauw, Y Fang
28th International Joint Conference on Artificial Intelligence (IJCAI 2020 …, 2019
Disease gene classification with metagraph representations.
AS Kircali, Y Fang, M Wu, XL Li, X Xiao
Methods 131, 83-92, 2017
Learning to pre-train graph neural networks
Y Lu, X Jiang, Y Fang, C Shi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4276-4284, 2021
Dual-Dropout Graph Convolutional Network for Predicting Synthetic Lethality in Human Cancers
R Cai, X Chen, Y Fang, M Wu, Y Hao
Bioinformatics 36 (16), 4458-4465, 2020
Integrating node embeddings and biological annotations for genes to predict disease-gene associations
SK Ata, L Ou-Yang, Y Fang, CK Kwoh, M Wu, XL Li
BMC systems biology 12 (9), 31-44, 2018
Heterogeneous embedding propagation for large-scale e-commerce user alignment
VW Zheng, M Sha, Y Li, H Yang, Y Fang, Z Zhang, KL Tan, KCC Chang
2018 IEEE International Conference on Data Mining (ICDM), 1434-1439, 2018
RoundTripRank: Graph-based proximity with importance and specificity
Y Fang, KCC Chang, HW Lauw
Data Engineering (ICDE), 2013 IEEE 29th International Conference on, 613-624, 2013
Graph-based semi-supervised learning: Realizing pointwise smoothness probabilistically
Y Fang, KCC Chang, HW Lauw
Proceedings of The 31st International Conference on Machine Learning, 406-414, 2014
Modeling Sequential Preferences with Dynamic User and Context Factors
DT Le, Y Fang, HW Lauw
European Conference on Machine Learning and Principles and Practice of …, 2016
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
Z Wang, K Kuan, M Ravaut, G Manek, S Song, Y Fang, K Seokhwan, ...
arXiv preprint arXiv:1706.05461, 2017
Adaptive Task Sampling for Meta-Learning
C Liu, Z Wang, D Sahoo, Y Fang, K Zhang, SCH Hoi
European Conference on Computer Vision (ECCV) 18, 752-769, 2020
Recent advances in network-based methods for disease gene prediction
SK Ata, M Wu, Y Fang, L Ou-Yang, CK Kwoh, XL Li
Briefings in bioinformatics 22 (4), bbaa303, 2021
Relative and absolute location embedding for few-shot node classification on graph
Z Liu, Y Fang, C Liu, SCH Hoi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4267-4275, 2021
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