A survey on large language models for recommendation L Wu, Z Zheng, Z Qiu, H Wang, H Gu, T Shen, C Qin, C Zhu, H Zhu, Q Liu, ... arXiv preprint arXiv:2305.19860, 2023 | 129 | 2023 |
Exploring large language model for graph data understanding in online job recommendations L Wu, Z Qiu, Z Zheng, H Zhu, E Chen AAAI2024, 2023 | 32 | 2023 |
Learning the compositional visual coherence for complementary recommendations Z Li, B Wu, Q Liu, L Wu, H Zhao, T Mei IJCAI, 2020 | 32 | 2020 |
Generative job recommendations with large language model Z Zheng, Z Qiu, X Hu, L Wu, H Zhu, H Xiong arXiv preprint arXiv:2307.02157, 2023 | 22 | 2023 |
Untargeted attack against federated recommendation systems via poisonous item embeddings and the defense Y Yu, Q Liu, L Wu, R Yu, SL Yu, Z Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4854-4863, 2023 | 22 | 2023 |
Predicting the dynamics in Internet finance based on deep neural network structure H Zhao, L Wu, Z Li, X Zhang, Q Liu, E Chen J. Comput. Res. Develop. 56 (8), 1621-1631, 2019 | 22* | 2019 |
Estimating early fundraising performance of innovations via graph-based market environment model L Wu, Z Li, H Zhao, Z Pan, Q Liu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6396-6403, 2020 | 21 | 2020 |
Learning the implicit semantic representation on graph-structured data L Wu, Z Li, H Zhao, Q Liu, J Wang, M Zhang, E Chen Database Systems for Advanced Applications: 26th International Conference …, 2021 | 19 | 2021 |
Estimating fund-raising performance for start-up projects from a market graph perspective L Wu, Z Li, H Zhao, Q Liu, E Chen Pattern Recognition 121, 108204, 2022 | 18 | 2022 |
Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training H Cai, W Liao, Z Liu, Y Zhang, X Huang, S Ding, H Ren, Z Wu, H Dai, S Li, ... arXiv preprint arXiv:2211.02849, 2022 | 17 | 2022 |
Forecasting movements of stock time series based on hidden state guided deep learning approach J Jiang, L Wu, H Zhao, H Zhu, W Zhang Information Processing & Management 60 (3), 103328, 2023 | 16 | 2023 |
Guesr: A global unsupervised data-enhancement with bucket-cluster sampling for sequential recommendation Y Han, L Wu, H Wang, G Wang, M Zhang, Z Li, D Lian, E Chen International Conference on Database Systems for Advanced Applications, 286-296, 2023 | 11 | 2023 |
Learning the explainable semantic relations via unified graph topic-disentangled neural networks L Wu, H Zhao, Z Li, Z Huang, Q Liu, E Chen ACM Transactions on Knowledge Discovery from Data 17 (8), 1-23, 2023 | 7 | 2023 |
Preference enhanced social influence modeling for network-aware cascade prediction L Wu, H Wang, E Chen, Z Li, H Zhao, J Ma Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 6 | 2022 |
REZCR: a zero-shot character recognition method via radical extraction X Diao, D Shi, H Tang, L Wu, Y Li, H Xu CoRR abs/2207.05842 2 (3), 2022 | 6 | 2022 |
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation M Yin, H Wang, X Xu, L Wu, S Zhao, W Guo, Y Liu, R Tang, D Lian, ... Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
SHGCN: Socially enhanced heterogeneous graph convolutional network for multi-behavior prediction L Zhang, W Zhang, L Wu, M He, H Zhao ACM Transactions on the Web 18 (1), 1-27, 2023 | 4 | 2023 |
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation L Wu, Z Li, H Zhao, Z Wang, Q Liu, B Huai, NJ Yuan, E Chen ACM SIGKDD, 2023 | 3 | 2023 |
Enhanced representation learning for examination papers with hierarchical document structure Y Ma, S Tong, Y Liu, L Wu, Q Liu, E Chen, W Tong, Z Yan Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 3 | 2021 |
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation Y Han, H Wang, K Wang, L Wu, Z Li, W Guo, Y Liu, D Lian, E Chen arXiv preprint arXiv:2403.17603, 2024 | 2 | 2024 |