| QF-RNN: QI-matrix factorization based RNN for time-aware service recommendation X Wu, Y Fan, J Zhang, H Lin, J Zhang 2019 IEEE international conference on services computing (SCC), 202-209, 2019 | 26 | 2019 |
| Service recommendation for composition creation based on collaborative attention convolutional network R Yan, Y Fan, J Zhang, J Zhang, H Lin 2021 IEEE International conference on web services (ICWS), 397-405, 2021 | 12 | 2021 |
| Rest: Reciprocal framework for spatiotemporal-coupled predictions H Lin, Y Fan, J Zhang, B Bai Proceedings of the Web Conference 2021, 3136-3145, 2021 | 12 | 2021 |
| A-HSG: Neural attentive service recommendation based on high-order social graph C Wei, Y Fan, J Zhang, H Lin 2020 IEEE International Conference on Web Services (ICWS), 338-346, 2020 | 11 | 2020 |
| Dartblur: Privacy preservation with detection artifact suppression B Jiang, B Bai, H Lin, Y Wang, Y Guo, L Fang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| Crowd3D: Towards hundreds of people reconstruction from a single image H Wen, J Huang, H Cui, H Lin, YK Lai, L Fang, K Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| MSP-RNN: Multi-step piecewise recurrent neural network for predicting the tendency of services invocation H Lin, Y Fan, J Zhang, B Bai IEEE Transactions on Services Computing 15 (2), 918-930, 2020 | 5 | 2020 |
| PRNN: Piecewise recurrent neural networks for predicting the tendency of services invocation H Lin, Y Fan, J Zhang, B Bai 2018 IEEE International Conference on Web Services (ICWS), 42-49, 2018 | 5 | 2018 |
| Toward knowledge as a service (KaaS): Predicting popularity of knowledge services leveraging graph neural networks H Lin, Y Fan, J Zhang, B Bai, Z Xu, T Lukasiewicz IEEE Transactions on Services Computing 16 (1), 642-655, 2022 | 4 | 2022 |
| The group interaction field for learning and explaining pedestrian anticipation X Wang, X Chen, P Jiang, H Lin, X Yuan, M Ji, Y Guo, R Huang, L Fang Engineering 34, 70-82, 2024 | 2 | 2024 |
| GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes H Lin, C Wei, L He, Y Guo, Y Zhao, S Li, L Fang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach T Ma, B Bai, H Lin, H Wang, Y Wang, L Luo, L Fang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation H Lin, Z Chen, J Zhang, B Bai, Y Wang, R Huang, L Fang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services R Yan, H Lin, Y Fan, J Zhang, B Bai IEEE Transactions on Services Computing 16 (4), 2786-2799, 2022 | | 2022 |
| Supplementary Document for Crowd3D: Towards Hundreds of People Reconstruction from a Single Image H Wen, J Huang, H Cui, H Lin, YK Lai, L Fang, K Li | | |
