Shanshan Feng
Shanshan Feng
Inception Institute of Artificial Intelligence (IIAI), UAE
Verified email at inceptioniai.org
Title
Cited by
Cited by
Year
Personalized ranking metric embedding for next new poi recommendation
S Feng, X Li, Y Zeng, G Cong, YM Chee, Q Yuan
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
3402015
Poi2vec: Geographical latent representation for predicting future visitors
S Feng, G Cong, B An, YM Chee
Thirty-First AAAI Conference on Artificial Intelligence, 2017
1392017
Influence maximization with novelty decay in social networks
S Feng, X Chen, G Cong, Y Zeng, YM Chee, Y Xiang
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
432014
Inf2vec: Latent representation model for social influence embedding
S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee
2018 IEEE 34th International Conference on Data Engineering (ICDE), 941-952, 2018
262018
Budget-efficient viral video distribution over online social networks: Mining topic-aware influential users
H Hu, Y Wen, S Feng
IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 759-771, 2016
142016
Hme: A hyperbolic metric embedding approach for next-poi recommendation
S Feng, LV Tran, G Cong, L Chen, J Li, F Li
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
122020
Anchor link prediction across attributed networks via network embedding
S Wang, X Li, Y Ye, S Feng, RYK Lau, X Huang, X Du
Entropy 21 (3), 254, 2019
82019
An explorative context-aware machine learning approach to reducing human fatigue risk of traffic control operators
F Li, CH Chen, P Zheng, S Feng, G Xu, LP Khoo
Safety science 125, 104655, 2020
42020
A novel cascade model for learning latent similarity from heterogeneous sequential data of MOOC
Z Jiang, S Feng, G Cong, C Miao, X Li
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
42017
Unsupervised embedding for latent similarity by modeling heterogeneous mooc data
Z Jiang, S Feng, W Chen, G Wang, X Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 683-695, 2017
22017
Few-Shot Named Entity Recognition via Meta-Learning
J Li, B Chiu, S Feng, H Wang
IEEE Transactions on Knowledge and Data Engineering, 2020
12020
Target guided emotion aware chat machine
W Wei, J Liu, X Mao, G Guo, F Zhu, P Zhou, Y Hu, S Feng
arXiv preprint arXiv:2011.07432, 2020
12020
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
Z He, Z Wang, W Wei, S Feng, X Mao, S Jiang
arXiv preprint arXiv:2011.06727, 2020
12020
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage
X Chen, X Song, G Peng, S Feng, L Nie
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
S Yu, Z Jiang, DD Chen, S Feng, D Li, Q Liu, J Yi
arXiv preprint arXiv:2106.03415, 2021
2021
Exploiting Global Contextual Information for Document-level Named Entity Recognition
Z Wang, W Wei, X Mao, S Feng, P Zhou, Z He, S Jiang
arXiv preprint arXiv:2106.00887, 2021
2021
Node2LV: Squared Lorentzian Representations for Node Proximity
S Feng, L Chen, K Zhao, W Wei, F Li, S Shang
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2015-2020, 2021
2021
MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
B Zhang, X Li, Y Ye, S Feng, R Ye
arXiv preprint arXiv:2103.14341, 2021
2021
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
Z Wang, W Wei, G Cong, XL Mao, XL Li, S Feng
arXiv preprint arXiv:2012.05422, 2020
2020
Exploring Global Information for Session-based Recommendation
Z Wang, W Wei, G Cong, XL Li, XL Mao, M Qiu, S Feng
arXiv preprint arXiv:2011.10173, 2020
2020
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