| Node-feature convolution for graph convolutional networks L Zhang, H Song, N Aletras, H Lu Pattern Recognition 128, 108661, 2022 | 31* | 2022 |
| A feature-importance-aware and robust aggregator for GCN L Zhang, H Lu Proceedings of the 29th ACM International Conference on Information …, 2020 | 19 | 2020 |
| Autoencoder and PCA based RVFLNs modeling for multivariate molten iron quality in blast furnace ironmaking P Zhou, L Zhang, WP Li, P Dai, TY Chai Acta Autom Sin 44 (10), 1799-1811, 2018 | 15 | 2018 |
| Multivariable dynamic modeling for molten iron quality using incremental random vector functional-link networks L Zhang, P Zhou, H Song, M Yuan, T Chai Journal of Iron and Steel Research International 23 (11), 1151-1159, 2016 | 12 | 2016 |
| 集成自编码与 PCA 的高炉多元铁水质量随机权神经网络建模 周平， 张丽， 李温鹏， 戴鹏， 柴天佑 自动化学报 44 (10), 1799-1811, 2018 | 11 | 2018 |
| Hop-hop relation-aware graph neural networks L Zhang, Y Ge, H Lu arXiv preprint arXiv:2012.11147, 2020 | 8 | 2020 |
| Unifying homophily and heterophily network transformation via motifs Y Ge, J Ma, L Zhang, H Lu arXiv preprint arXiv:2012.11400, 2020 | 4 | 2020 |
| Knowledge-aware neural collective matrix factorization for cross-domain recommendation L Zhang, Y Ge, J Ma, J Ni, H Lu In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| A gnn-based multi-task learning framework for personalized video search L Zhang, L Shi, J Zhao, J Yang, T Lyu, D Yin, H Lu Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 2 | 2022 |
| DGDNN: Decoupled graph diffusion neural network for stock movement prediction Z You, Z Shi, H Bo, J Cartlidge, L Zhang, Y Ge arXiv preprint arXiv:2401.01846, 2024 | 1 | 2024 |
| Learnable Aggregator for GCN L Zhang, H Lu 33rd Conference on Neural Information Processing Systems (NeurIPS 2019 …, 0 | 1 | |
| STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network I Lorge, L Zhang, X Dong, JB Pierrehumbert 2024 Joint International Conference on Computational Linguistics, Language …, 2024 | | 2024 |
| RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation X Yu, L Zhang, X Zhao, Y Wang, Z Ma arXiv preprint arXiv:2402.04527, 2024 | | 2024 |
| Trustworthiness-aware knowledge graph representation for recommendation Y Ge, J Ma, L Zhang, X Li, H Lu Knowledge-Based Systems 278, 110865, 2023 | | 2023 |
| Exploring local information for graph representation learning L Zhang University of Sheffield, 2022 | | 2022 |
Haiping LuProfessor of Machine Learning, University of SheffieldVerified email at sheffield.ac.uk
