Temporal augmented graph neural networks for session-based recommendations H Zhou, Q Tan, X Huang, K Zhou, X Wang Proceedings of the 44th International ACM SIGIR conference on research and …, 2021 | 47 | 2021 |
Adaptive popularity debiasing aggregator for graph collaborative filtering H Zhou, H Chen, J Dong, D Zha, C Zhou, X Huang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
Low rank communication for federated learning H Zhou, J Cheng, X Wang, B Jin Database Systems for Advanced Applications. DASFAA 2020 International …, 2020 | 9 | 2020 |
Towards Personalized Cold-Start Recommendation with Prompts X Wu, H Zhou, W Yao, X Huang, N Liu arXiv preprint arXiv:2306.17256, 2023 | 7 | 2023 |
Improving generalizability of graph anomaly detection models via data augmentation S Zhou, X Huang, N Liu, H Zhou, FL Chung, LK Huang IEEE Transactions on Knowledge and Data Engineering, 2023 | 3 | 2023 |
Constructing low-redundant and high-accuracy knowledge graphs for education W Li, H Zhou, J Dong, Q Zhang, Q Li, G Baciu, J Cao, X Huang International Conference on Web-Based Learning, 148-160, 2022 | 3 | 2022 |
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering J Dong, Q Zhang, H Zhou, D Zha, P Zheng, X Huang arXiv preprint arXiv:2402.12728, 2024 | 2 | 2024 |
Interest driven graph structure learning for session-based recommendation H Zhou, S Zhou, K Duan, X Huang, Q Tan, Z Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 284-296, 2023 | 2 | 2023 |
Multi-interest refinement by collaborative attributes modeling for click-through rate prediction H Zhou, J Fan, X Huang, KH Li, Z Tang, D Yu Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations X Wu, H Zhou, Y Shi, W Yao, X Huang, N Liu The Web Conference (WWW), 2024 | 1 | 2024 |