| Multitask representation learning with multiview graph convolutional networks H Huang, Y Song, Y Wu, J Shi, X Xie, H Jin IEEE Transactions on Neural Networks and Learning Systems 33 (3), 983-995, 2020 | 33 | 2020 |
| Matsci-nlp: Evaluating scientific language models on materials science language tasks using text-to-schema modeling Y Song, S Miret, B Liu arXiv preprint arXiv:2305.08264, 2023 | 31 | 2023 |
| Enhancing graph neural networks via auxiliary training for semi-supervised node classification Y Wu, Y Song, H Huang, F Ye, X Xie, H Jin Knowledge-Based Systems 220, 106884, 2021 | 26 | 2021 |
| Honeybee: Progressive instruction finetuning of large language models for materials science Y Song, S Miret, H Zhang, B Liu arXiv preprint arXiv:2310.08511, 2023 | 20 | 2023 |
| Modeling information diffusion with sequential interactive hypergraphs H Jin, Y Wu, H Huang, Y Song, H Wei, X Shi IEEE Transactions on Sustainable Computing 7 (3), 644-655, 2022 | 15 | 2022 |
| Show me the whole world: Towards entire item space exploration for interactive personalized recommendations Y Song, S Sun, J Lian, H Huang, Y Li, H Jin, X Xie Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 13 | 2022 |
| Honeycomb: A flexible llm-based agent system for materials science H Zhang, Y Song, Z Hou, S Miret, B Liu arXiv preprint arXiv:2409.00135, 2024 | 12 | 2024 |
| A framework for multi-stage bonus allocation in meal delivery platform Z Wu, L Wang, F Huang, L Zhou, Y Song, C Ye, P Nie, H Ren, J Hao, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Multi-stage network embedding for exploring heterogeneous edges H Huang, Y Song, F Ye, X Xie, X Shi, H Jin ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (1), 1-27, 2020 | 3 | 2020 |
| Modeling heterogeneous edges to represent networks with graph auto-encoder L Wang, Y Song, H Huang, F Ye, X Shi, H Jin Database Systems for Advanced Applications: 25th International Conference …, 2020 | 2 | 2020 |
| Soft-GNN: towards robust graph neural networks via self-adaptive data utilization Y Wu, H Huang, Y Song, H Jin Frontiers of Computer Science 19 (4), 194311, 2025 | 1 | 2025 |
| Mining World Indicators for Analyzing and Modeling the Development of Countries H Huang, M Chi, Y Song, H Jin ACM/IMS Transactions on Data Science (TDS) 2 (4), 1-27, 2022 | | 2022 |
Hong HuangAssociate Professor, Huazhong University of Science and Technology確認したメール アドレス: hust.edu.cn