Hierarchical reinforcement learning for course recommendation in MOOCs J Zhang, B Hao, B Chen, C Li, H Chen, J Sun Proceedings of the AAAI conference on artificial intelligence 33 (01), 435-442, 2019 | 179 | 2019 |
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation B Hao, J Zhang, H Yin, C Li, H Chen The 14th ACM International WSDM Conference (WSDM'21), 2020 | 98 | 2020 |
A multi-strategy-based pre-training method for cold-start recommendation B Hao, H Yin, J Zhang, C Li, H Chen ACM Transactions on Information Systems 41 (2), 1-24, 2023 | 16 | 2023 |
Few-Shot Representation learning for Cold-Start users and items B Hao, J Zhang, C Li, H Chen Web and Big Data: 4th International Joint Conference, APWeb-WAIM 2020 …, 2020 | 4 | 2020 |
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation B Hao, C Yang, L Guo, J Yu, H Yin The 17th ACM International Conference on Web Search and Data Mining, 2023 | 3 | 2023 |
Recommending courses in MOOCs for jobs: an auto weak supervision approach B Hao, J Zhang, C Li, H Chen, H Yin Machine Learning and Knowledge Discovery in Databases: Applied Data Science …, 2021 | 3 | 2021 |
Self‐supervised graph learning for occasional group recommendation B Hao, H Yin, C Li, H Chen International Journal of Intelligent Systems 37 (12), 10880-10902, 2022 | 1 | 2022 |