| Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G Jin, Y Liang, Y Fang, J Huang, J Zhang, Y Zheng arXiv preprint arXiv:2303.14483, 2023 | | 2023 |
| Housing rental suggestion based on e-commerce data Z Wang, S Chen, S Ji, Z Pan, C Meng, J Zhang, T Li, Y Zheng Knowledge-Based Systems, 110474, 2023 | | 2023 |
| AutoSTG+: An Automatic Framework to Discover The Optimal Network for Spatio-temporal Graph Prediction S Ke, Z Pan, T He, Y Liang, J Zhang, Y Zheng Artificial Intelligence, 103899, 2023 | 1 | 2023 |
| A survey of graph neural networks for recommender systems: Challenges, methods, and directions C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao, Y Quan, J Chang, D Jin, X He, ... ACM Transactions on Recommender Systems 1 (1), 1-51, 2023 | 6 | 2023 |
| Social Relationship Link Inference Based on Graph Convolutional Networks S Zhang, Y Zheng, T Li Human-Centric Intelligent Systems, 1-9, 2023 | | 2023 |
| Dual-interest Factorization-heads Attention for Sequential Recommendation G Lin, C Gao, Y Zheng, J Chang, Y Niu, Y Song, Z Li, D Jin, Y Li arXiv preprint arXiv:2302.03965, 2023 | | 2023 |
| Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng arXiv preprint arXiv:2212.04475, 2022 | 1 | 2022 |
| Rethinking and scaling up graph contrastive learning: An extremely efficient approach with group discrimination Y Zheng, S Pan, V Lee, Y Zheng, PS Yu Advances in Neural Information Processing Systems 35, 10809-10820, 2022 | 10 | 2022 |
| AirFormer: Predicting Nationwide Air Quality in China with Transformers Y Liang, Y Xia, S Ke, Y Wang, Q Wen, J Zhang, Y Zheng, R Zimmermann arXiv preprint arXiv:2211.15979, 2022 | 2 | 2022 |
| Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting L Song, K Bao, S Ke, C Li, J Zhang, Y Zheng 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022 | | 2022 |
| Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting Y Liang, K Ouyang, Y Wang, Z Pan, Y Yin, H Chen, J Zhang, Y Zheng, ... IEEE Transactions on Knowledge and Data Engineering, 2022 | 1 | 2022 |
| Multivariate time series forecasting with dynamic graph neural ODEs M Jin, Y Zheng, YF Li, S Chen, B Yang, S Pan IEEE Transactions on Knowledge and Data Engineering, 2022 | 10 | 2022 |
| When do contrastive learning signals help spatio-temporal graph forecasting? X Liu, Y Liang, C Huang, Y Zheng, B Hooi, R Zimmermann Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 2 | 2022 |
| Unifying Graph Contrastive Learning with Flexible Contextual Scopes Y Zheng, Y Zheng, X Zhou, C Gong, V Lee, S Pan arXiv preprint arXiv:2210.08792, 2022 | 3 | 2022 |
| TrajFormer: Efficient Trajectory Classification with Transformers Y Liang, K Ouyang, Y Wang, X Liu, H Chen, J Zhang, Y Zheng, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | | 2022 |
| DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias Y Zheng, C Gao, J Ding, L Yi, D Jin, Y Li, M Wang Proceedings of the 30th ACM International Conference on Multimedia, 334-345, 2022 | 1 | 2022 |
| Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives G Lin, C Gao, Y Li, Y Zheng, Z Li, D Jin, Y Li arXiv preprint arXiv:2209.08446, 2022 | | 2022 |
| Causal inference in recommender systems: A survey and future directions C Gao, Y Zheng, W Wang, F Feng, X He, Y Li arXiv preprint arXiv:2208.12397, 2022 | 7 | 2022 |
| Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision H Qu, Y Gong, M Chen, J Zhang, Y Zheng, Y Yin IEEE Transactions on Knowledge and Data Engineering, 2022 | 1 | 2022 |
| Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning J Ji, J Wang, J Wu, B Han, J Zhang, Y Zheng Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 2 | 2022 |
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished Member在 microsoft.com 的电子邮件经过验证
