| SeqST-GAN: Seq2Seq generative adversarial nets for multi-step urban crowd flow prediction S Wang, J Cao, H Chen, H Peng, Z Huang ACM Transactions on Spatial Algorithms and Systems (TSAS) 6 (4), 1-24, 2020 | 57 | 2020 |
| Multi-task adversarial spatial-temporal networks for crowd flow prediction S Wang, H Miao, H Chen, Z Huang Proceedings of the 29th ACM international conference on information …, 2020 | 53 | 2020 |
| Label-aware graph convolutional networks H Chen, Y Xu, F Huang, Z Deng, W Huang, S Wang, P He, Z Li Proceedings of the 29th ACM international conference on information …, 2020 | 41 | 2020 |
| Neighbor enhanced graph convolutional networks for node classification and recommendation H Chen, Z Huang, Y Xu, Z Deng, F Huang, P He, Z Li Knowledge-Based Systems 246, 108594, 2022 | 24 | 2022 |
| Generative adversarial framework for cold-start item recommendation H Chen, Z Wang, F Huang, X Huang, Y Xu, Y Lin, P He, Z Li Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 23 | 2022 |
| Locally balanced inductive matrix completion for demand-supply inference in stationless bike-sharing systems S Wang, H Chen, J Cao, J Zhang, SY Philip IEEE Transactions on Knowledge and Data Engineering 32 (12), 2374-2388, 2019 | 15 | 2019 |
| Unrest news amount prediction with context-aware attention lstm X Wang, H Chen, Z Li, Z Zhao PRICAI 2018: Trends in Artificial Intelligence: 15th Pacific Rim …, 2018 | 11 | 2018 |
| Graph unfolding networks H Chen, W Huang, Y Xu, F Sun, Z Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 7 | 2020 |
| FGST: Fine-grained spatial-temporal based regression for stationless bike traffic prediction H Chen, S Wang, Z Deng, X Zhang, Z Li Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 7 | 2019 |
| Non-recursive graph convolutional networks H Chen, Z Deng, Y Xu, Z Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| Aligning Distillation For Cold-start Item Recommendation F Huang, Z Wang, X Huang, Y Qian, Z Li, H Chen | 4 | 2023 |
| Deep attentive multimodal network representation learning for social media images F Huang, C Li, B Gao, Y Liu, S Alotaibi, H Chen ACM Transactions on Internet Technology (TOIT) 21 (3), 1-17, 2021 | 4 | 2021 |
| Collaborative graph neural networks for attributed network embedding Q Tan, X Zhang, X Huang, H Chen, J Li, X Hu IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
| Multi-factor Sequential Re-ranking with Perception-Aware Diversification Y Xu, H Chen, Z Wang, J Yin, Q Shen, D Wang, F Huang, L Lai, T Zhuang, ... arXiv preprint arXiv:2305.12420, 2023 | 3 | 2023 |
| Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering H Zhou, H Chen, J Dong, D Zha, C Zhou, X Huang | 3 | 2023 |
| Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction Y Bei, H Chen, S Chen, X Huang, S Zhou, F Huang Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Multi-channel Integrated Recommendation with Exposure Constraints Y Xu, Q Shen, J Yin, Z Deng, D Wang, H Chen, L Lai, T Zhuang, J Ge arXiv preprint arXiv:2305.12319, 2023 | | 2023 |
| GPatch: Patching Graph Neural Networks for Cold-Start Recommendations H Chen, Z Wang, Y Xu, X Huang, F Huang arXiv preprint arXiv:2209.12215, 2022 | | 2022 |
Yue XU 徐越Beijing University of Posts and TelecommunicationsE-mailová adresa ověřena na: bupt.edu.cn
