| Towards universal cross-domain recommendation J Cao, S Li, B Yu, X Guo, T Liu, B Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 38 | 2023 |
| Disentangled representations learning for multi-target cross-domain recommendation X Guo, S Li, N Guo, J Cao, X Liu, Q Ma, R Gan, Y Zhao ACM Transactions on Information Systems 41 (4), 1-27, 2023 | 30 | 2023 |
| Cross-architecture self-supervised video representation learning S Guo, Z Xiong, Y Zhong, L Wang, X Guo, B Han, W Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| DKEN: Deep knowledge-enhanced network for recommender systems X Guo, W Lin, Y Li, Z Liu, L Yang, S Zhao, Z Zhu Information Sciences 540, 263-277, 2020 | 27 | 2020 |
| Learning dynamic user interest sequence in knowledge graphs for click-through rate prediction Y Li, X Guo, W Lin, M Zhong, Q Li, Z Liu, W Zhong, Z Zhu IEEE Transactions on Knowledge and Data Engineering 35 (1), 647-657, 2021 | 19 | 2021 |
| Neural Node Matching for Multi-Target Cross Domain Recommendation W Xu, S Li, M Ha, X Guo, Q Ma, X Liu, L Chen, Z Zhu The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023 | 15 | 2023 |
| Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation N Guo, X Liu, S Li, Q Ma, Y Zhao, B Han, L Zheng, K Gao, X Guo IEEE Transactions on Knowledge and Data Engineering, 2021 | 14 | 2021 |
| Mhscnet: A multimodal hierarchical shot-aware convolutional network for video summarization W Xu, R Wang, X Guo, S Li, Q Ma, Y Zhao, S Guo, Z Zhu, J Yan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| Poincar\'{e} Heterogeneous Graph Neural Networks for Sequential Recommendation N Guo, X Liu, S Li, Q Ma, K Gao, B Han, L Zheng, X Guo ACM Transactions on Information Systems, 2022 | 10 | 2022 |
| A new visualizing mining method of multi-valued attribute association rules for ordinary users X Guo, S Zhao, C Wang, M CHEN Acta electronica sinica 43 (2), 344-352, 2015 | 7 | 2015 |
| Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction Y Li, Z Zhu, X Guo, L Chen, Z Wang, Y Wang, B Han, Y Zhao KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 5 | 2023 |
| Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning X Tao, M Ha, X Guo, Q Ma, H Cheng, W Lin The ACM Conference on Recommender Systems (RecSys 2023), 2023 | 5 | 2023 |
| HGV4risk: Hierarchical global view-guided sequence representation learning for risk prediction Y Li, Z Zhu, X Guo, S Li, Y Yang, Y Zhao ACM Transactions on Knowledge Discovery from Data 18 (1), 1-21, 2023 | 4 | 2023 |
| An Autonomous Cyber‐Physical Anomaly Detection System Based on Unsupervised Disentangled Representation Learning C Li, X Guo, X Wang Security and Communication Networks 2021 (1), 1626025, 2021 | 4 | 2021 |
| A Survey of Deep Causal Models and Their Industrial Applications Z Li, X Guo, S Qiang Artificial Intelligence Review(2024) 57, 2023 | 3 | 2023 |
| Sylvester Equation Induced Collaborative Representation Learning for Recommendation X Li, Z Zhu, S Zheng, Z Liu, Y Li, X Guo, D Kong, Y Zhao IEEE Transactions on Knowledge and Data Engineering 35 (9), 8811-8822, 2022 | 3 | 2022 |
| Metagraph for genealogical relationship visualization J LIU, X GUO Journal of Computer Applications 33 (07), 2037, 2013 | 3 | 2013 |
| Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining Y Li, Z Zhu, L Chen, B Yang, Y Wu, X Guo, B Han, Y Zhao IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
| Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Y Chen, S Qiang, M Ha, X Liu, S Li, L Yuan, X Guo, Z Zhu ACM Transactions on Knowledge Discovery from Data, 2022 | 1 | 2022 |
| A survey of deep causal models and their industrial applications Z Li, X Guo, S Qiang Artificial Intelligence Review 57 (11), 298, 2024 | | 2024 |
