| 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 | 468 | 2015 |
| Poi2vec: Geographical latent representation for predicting future visitors S Feng, G Cong, B An, YM Chee Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 206 | 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 | 68 | 2020 |
| 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 | 56 | 2018 |
| 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 | 49 | 2014 |
| Few-shot named entity recognition via meta-learning J Li, B Chiu, S Feng, H Wang IEEE Transactions on Knowledge and Data Engineering 34 (9), 4245-4256, 2020 | 28 | 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 | 18 | 2020 |
| Sgmnet: Scene graph matching network for few-shot remote sensing scene classification B Zhang, S Feng, X Li, Y Ye, R Ye, C Luo, H Jiang IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 16 | 2022 |
| 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 | 16 | 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 | 16 | 2016 |
| 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 | 12 | 2022 |
| 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 | 12 | 2020 |
| Multisensor fusion and explicit semantic preserving-based deep hashing for cross-modal remote sensing image retrieval Y Sun, S Feng, Y Ye, X Li, J Kang, Z Huang, C Luo IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 10 | 2021 |
| 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 | 10 | 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 | 10 | 2021 |
| 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 | 9 | 2022 |
| Enhancing hyperbolic graph embeddings via contrastive learning J Liu, M Yang, M Zhou, S Feng, P Fournier-Viger arXiv preprint arXiv:2201.08554, 2022 | 9 | 2022 |
| Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data. L Chen, S Shang, S Feng, P Kalnis IJCAI, 3613-3619, 2021 | 6 | 2021 |
| 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 | 5 | 2021 |
| MetaDT: meta decision tree for interpretable few-shot learning B Zhang, H Jiang, X Li, S Feng, Y Ye, R Ye arXiv preprint arXiv:2203.01482, 2022 | 4 | 2022 |
Xutao LiHarbin Institute of TechnologyVerified email at hit.edu.cn
