Fuli Feng
Fuli Feng
Ph.D. of School of Computing, National University of Singapore
Verified email at comp.nus.edu.sg - Homepage
TitleCited byYear
Tem: Tree-enhanced embedding model for explainable recommendation
X Wang, X He, F Feng, L Nie, TS Chua
Proceedings of the 2018 World Wide Web Conference, 1543-1552, 2018
Neurostylist: Neural compatibility modeling for clothing matching
X Song, F Feng, J Liu, Z Li, L Nie, J Ma
Proceedings of the 25th ACM international conference on Multimedia, 753-761, 2017
Neural compatibility modeling with attentive knowledge distillation
X Song, F Feng, X Han, X Yang, W Liu, L Nie
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
Neural Graph Collaborative Filtering
X Wang, X He, M Wang, F Feng, TS Chua
arXiv preprint arXiv:1905.08108, 2019
Learning on partial-order hypergraphs
F Feng, X He, Y Liu, L Nie, TS Chua
Proceedings of the 2018 World Wide Web Conference, 1523-1532, 2018
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution.
G Shen, J Jia, L Nie, F Feng, C Zhang, T Hu, TS Chua, W Zhu
IJCAI, 3838-3844, 2017
An improved sampler for bayesian personalized ranking by leveraging view data
J Ding, F Feng, X He, G Yu, Y Li, D Jin
Companion Proceedings of the The Web Conference 2018, 13-14, 2018
Computational social indicators: a case study of chinese university ranking
F Feng, L Nie, X Wang, R Hong, TS Chua
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
Deep understanding of cooking procedure for cross-modal recipe retrieval
JJ Chen, CW Ngo, FL Feng, TS Chua
2018 ACM Multimedia Conference on Multimedia Conference, 1020-1028, 2018
Temporal relational ranking for stock prediction
F Feng, X He, X Wang, C Luo, Y Liu, TS Chua
ACM Transactions on Information Systems (TOIS) 37 (2), 27, 2019
Discrete factorization machines for fast feature-based recommendation
H Liu, X He, F Feng, L Nie, R Liu, H Zhang
arXiv preprint arXiv:1805.02232, 2018
Understanding inactive yet available assignees in GitHub
J Jiang, D Lo, X Ma, F Feng, L Zhang
Information and Software Technology 91, 44-55, 2017
Neural Multi-Task Recommendation from Multi-Behavior Data
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin
2019 IEEE 35th International Conference on Data Engineering (ICDE), 1554-1557, 2019
Explicit interaction model towards text classification
C Du, Z Chen, F Feng, L Zhu, T Gan, L Nie
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6359-6366, 2019
Cross-Domain Depression Detection via Harvesting Social Media.
T Shen, J Jia, G Shen, F Feng, X He, H Luan, J Tang, T Tiropanis, ...
IJCAI, 1611-1617, 2018
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
F Feng, X He, J Tang, TS Chua
arXiv preprint arXiv:1902.08226, 2019
Enhancing stock movement prediction with adversarial training
F Feng, H Chen, X He, J Ding, M Sun, TS Chua
Proceedings of the 28th International Joint Conference on Artificial …, 2019
Cross-domain Recommendation Without Sharing User-relevant Data
C Gao, X Chen, F Feng, K Zhao, X He, Y Li, D Jin
The World Wide Web Conference, 491-502, 2019
Learning recommender systems from multi-behavior data
C Gao, X He, D Gan, X Chen, F Feng, Y Li, TS Chua, D Jin
arXiv preprint arXiv:1809.08161, 2018
Hierarchical Attention Network for Visually-aware Food Recommendation
X Gao, F Feng, X He, H Huang, X Guan, C Feng, Z Ming, TS Chua
arXiv preprint arXiv:1810.05032, 2018
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