| Identifying Human Mobility via Trajectory Embeddings. Q Gao, F Zhou, K Zhang, G Trajcevski, X Luo, F Zhang IJCAI 17, 1689-1695, 2017 | 150 | 2017 |
| Deeplink: A deep learning approach for user identity linkage F Zhou, L Liu, K Zhang, G Trajcevski, J Wu, T Zhong IEEE INFOCOM 2018-IEEE conference on computer communications, 1313-1321, 2018 | 141 | 2018 |
| Information diffusion prediction via recurrent cascades convolution X Chen, F Zhou, K Zhang, G Trajcevski, T Zhong, F Zhang 2019 IEEE 35th international conference on data engineering (ICDE), 770-781, 2019 | 101 | 2019 |
| Meta-gnn: On few-shot node classification in graph meta-learning F Zhou, C Cao, K Zhang, G Trajcevski, T Zhong, J Geng Proceedings of the 28th ACM International Conference on Information and …, 2019 | 98 | 2019 |
| Adversarial point-of-interest recommendation F Zhou, R Yin, K Zhang, G Trajcevski, T Zhong, J Wu The world wide web conference, 3462-34618, 2019 | 95 | 2019 |
| Trajectory-User Linking via Variational AutoEncoder. F Zhou, Q Gao, G Trajcevski, K Zhang, T Zhong, F Zhang IJCAI, 3212-3218, 2018 | 85 | 2018 |
| A survey of information cascade analysis: Models, predictions, and recent advances F Zhou, X Xu, G Trajcevski, K Zhang ACM Computing Surveys (CSUR) 54 (2), 1-36, 2021 | 83 | 2021 |
| Predicting human mobility via variational attention Q Gao, F Zhou, G Trajcevski, K Zhang, T Zhong, F Zhang The world wide web conference, 2750-2756, 2019 | 81 | 2019 |
| Trajectory big data: a review of key technologies in data processing 高强， 张凤荔， 王瑞锦， 周帆 Journal of Software 28 (4), 959-992, 2016 | 70 | 2016 |
| Variational graph neural networks for road traffic prediction in intelligent transportation systems F Zhou, Q Yang, T Zhong, D Chen, N Zhang IEEE Transactions on Industrial Informatics 17 (4), 2802-2812, 2020 | 55 | 2020 |
| Reinforced spatiotemporal attentive graph neural networks for traffic forecasting F Zhou, Q Yang, K Zhang, G Trajcevski, T Zhong, A Khokhar IEEE Internet of Things Journal 7 (7), 6414-6428, 2020 | 50 | 2020 |
| Information cascades modeling via deep multi-task learning X Chen, K Zhang, F Zhou, G Trajcevski, T Zhong, F Zhang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 34 | 2019 |
| Hybrid graph convolutional networks with multi-head attention for location recommendation T Zhong, S Zhang, F Zhou, K Zhang, G Trajcevski, J Wu World Wide Web 23, 3125-3151, 2020 | 31 | 2020 |
| Overcoming catastrophic forgetting in graph neural networks with experience replay F Zhou, C Cao Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4714-4722, 2021 | 29 | 2021 |
| Bypassing holes in sensor networks: load-balance vs. latency G Trajcevski, F Zhou, R Tamassia, B Avci, P Scheuermann, A Khokhar 2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-5, 2011 | 29 | 2011 |
| Context-aware variational trajectory encoding and human mobility inference F Zhou, X Yue, G Trajcevski, T Zhong, K Zhang The world wide web conference, 3469-3475, 2019 | 28 | 2019 |
| Variational information diffusion for probabilistic cascades prediction F Zhou, X Xu, K Zhang, G Trajcevski, T Zhong IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1618-1627, 2020 | 27 | 2020 |
| Trajectory-based social circle inference Q Gao, G Trajcevski, F Zhou, K Zhang, T Zhong, F Zhang Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 26 | 2018 |
| Vec2link: Unifying heterogeneous data for social link prediction F Zhou, B Wu, Y Yang, G Trajcevski, K Zhang, T Zhong Proceedings of the 27th ACM International Conference on Information and …, 2018 | 24 | 2018 |
| Deflection-aware tracking-principal selection in active wireless sensor networks F Zhou, G Trajcevski, O Ghica, R Tamassia, P Scheuermann, A Khokhar IEEE transactions on vehicular technology 61 (7), 3240-3254, 2012 | 24 | 2012 |
Goce TrajcevskiDept. of ECpE, Iowa State University在 iastate.edu 的电子邮件经过验证
