Likang Wu (吴李康)
Cited by
Cited by
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
Exploring large language model for graph data understanding in online job recommendations
L Wu, Z Qiu, Z Zheng, H Zhu, E Chen
AAAI2024, 2023
Learning the compositional visual coherence for complementary recommendations
Z Li, B Wu, Q Liu, L Wu, H Zhao, T Mei
IJCAI, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Long-term Joint Scheduling for Urban Traffic
X Liang, L Wu, J Chen, Y Liu, R Yu, M Hou, H Wu, Y Ye, Q Liu, E Chen
arXiv preprint arXiv:1910.12283, 2019
The system can't perform the operation now. Try again later.
Articles 1–20