Shanshan Feng
Shanshan Feng
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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
Poi2vec: Geographical latent representation for predicting future visitors
S Feng, G Cong, B An, YM Chee
Thirty-First AAAI Conference on Artificial Intelligence, 2017
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
Influence maximization with novelty decay in social networks
S Feng, X Chen, G Cong, Y Zeng, YM Chee, Y Xiang
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
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
Few-shot named entity recognition via meta-learning
J Li, B Chiu, S Feng, H Wang
IEEE Transactions on Knowledge and Data Engineering, 2020
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
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
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
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
Enhancing hyperbolic graph embeddings via contrastive learning
J Liu, M Yang, M Zhou, S Feng, P Fournier-Viger
arXiv preprint arXiv:2201.08554, 2022
Target-guided emotion-aware chat machine
W Wei, J Liu, X Mao, G Guo, F Zhu, P Zhou, Y Hu, S Feng
ACM Transactions on Information Systems (TOIS) 39 (4), 1-24, 2021
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
Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval
Y Sun, Y Ye, X Li, S Feng, B Zhang, J Kang, K Dai
Knowledge-Based Systems 239, 107807, 2022
Better Visual Interpretation for Remote Sensing Scene Classification
X Huang, Y Sun, S Feng, Y Ye, X Li
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data.
L Chen, S Shang, S Feng, P Kalnis
IJCAI, 3613-3619, 2021
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
MetaNODE: Prototype optimization as a neural ODE for few-shot learning
B Zhang, X Li, S Feng, Y Ye, R Ye
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9014-9021, 2022
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
Experimental Study on Generative Adversarial Network for Precipitation Nowcasting
C Luo, X Li, Y Ye, S Feng, MK Ng
IEEE Transactions on Geoscience and Remote Sensing, 2022
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