| Identifying Human Mobility via Trajectory Embeddings. Q Gao, F Zhou, K Zhang, G Trajcevski, X Luo, F Zhang IJCAI 17, 1689-1695, 2017 | 206 | 2017 |
| 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 | 122 | 2019 |
| Trajectory-User Linking via Variational AutoEncoder. F Zhou, Q Gao, G Trajcevski, K Zhang, T Zhong, F Zhang IJCAI, 3212-3218, 2018 | 112 | 2018 |
| 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 | 80 | 2016 |
| Efficient architecture search for continual learning Q Gao, Z Luo, D Klabjan, F Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8555-8565, 2022 | 42 | 2022 |
| 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 | 39 | 2018 |
| Self-supervised human mobility learning for next location prediction and trajectory classification F Zhou, Y Dai, Q Gao, P Wang, T Zhong Knowledge-Based Systems 228, 107214, 2021 | 37 | 2021 |
| DeepTrip: Adversarially understanding human mobility for trip recommendation Q Gao, G Trajcevski, F Zhou, K Zhang, T Zhong, F Zhang Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019 | 29 | 2019 |
| 轨迹大数据: 数据处理关键技术研究综述 高强， 张凤荔， 王瑞锦， 周帆 软件学报 28 (4), 959-992, 2016 | 29 | 2016 |
| Adversarial human trajectory learning for trip recommendation Q Gao, F Zhou, K Zhang, F Zhang, G Trajcevski IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1764-1776, 2021 | 28 | 2021 |
| Recommendation via collaborative diffusion generative model J Walker, T Zhong, F Zhang, Q Gao, F Zhou International Conference on Knowledge Science, Engineering and Management …, 2022 | 23 | 2022 |
| Contextual spatio-temporal graph representation learning for reinforced human mobility mining Q Gao, F Zhou, T Zhong, G Trajcevski, X Yang, T Li Information Sciences 606, 230-249, 2022 | 19 | 2022 |
| Self-supervised representation learning for trip recommendation Q Gao, W Wang, K Zhang, X Yang, C Miao, T Li Knowledge-Based Systems 247, 108791, 2022 | 19 | 2022 |
| Adversarial mobility learning for human trajectory classification Q Gao, F Zhang, F Yao, A Li, L Mei, F Zhou IEEE Access 8, 20563-20576, 2020 | 17 | 2020 |
| Multi-granularity stock prediction with sequential three-way decisions X Yang, MA Loua, M Wu, L Huang, Q Gao Information Sciences 621, 524-544, 2023 | 14 | 2023 |
| Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion Q Gao, W Wang, L Huang, X Yang, T Li, H Fujita Information Fusion 92, 46-63, 2023 | 11 | 2023 |
| 离群点检测技术综述. 梅林， 张凤荔， 高强 Application Research of Computers/Jisuanji Yingyong Yanjiu 37 (12), 2020 | 7 | 2020 |
| Cl-wstc: Continual learning for weakly supervised text classification on the internet M Li, J Zhu, X Yang, Y Yang, Q Gao, H Wang Proceedings of the ACM Web Conference 2023, 1489-1499, 2023 | 5 | 2023 |
| Mining frequent sets using fuzzy multiple-level association rules Q Gao, FL Zhang, RJ Wang Journal of Electronic Science and Technology 16 (2), 145-152, 2018 | 5 | 2018 |
| Predicting human mobility via self-supervised disentanglement learning Q Gao, J Hong, X Xu, P Kuang, F Zhou, G Trajcevski IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
Fan Zhou (周帆)University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
