| Hallucination detection: Robustly discerning reliable answers in large language models Y Chen, Q Fu, Y Yuan, Z Wen, G Fan, D Liu, D Zhang, Z Li, Y Xiao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 108 | 2023 |
| Trend: Temporal event and node dynamics for graph representation learning Z Wen, Y Fang Proceedings of the ACM web conference 2022, 1159-1169, 2022 | 84 | 2022 |
| Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting Z Wen, Y Fang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 45 | 2023 |
| Meta-inductive node classification across graphs Z Wen, Y Fang, Z Liu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 39 | 2021 |
| Mapo: Boosting large language model performance with model-adaptive prompt optimization Y Chen, Z Wen, G Fan, Z Chen, W Wu, D Liu, Z Li, B Liu, Y Xiao EMNLP 2023, 2024 | 26 | 2024 |
| Temporalmed: Advancing medical dialogues with time-aware responses in large language models Y Chen, J Zhao, Z Wen, Z Li, Y Xiao Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 21 | 2024 |
| Few-shot learning on graphs: from meta-learning to pre-training and prompting X Yu, Y Fang, Z Liu, Y Wu, Z Wen, J Bo, X Zhang, SCH Hoi arXiv e-prints, arXiv: 2402.01440, 2024 | 16 | 2024 |
| Prompt tuning on graph-augmented low-resource text classification Z Wen, Y Fang IEEE Transactions on Knowledge and Data Engineering, 2023 | 13 | 2023 |
| Temporal and heterogeneous graph neural network for remaining useful life prediction Z Wen, Y Fang, P Wei, F Liu, Z Chen, M Wu arXiv preprint arXiv:2405.04336, 2024 | 5 | 2024 |
| Voucher abuse detection with prompt-based fine-tuning on graph neural networks Z Wen, Y Fang, Y Liu, Y Guo, S Hao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Generalizing graph neural network across graphs and time Z Wen Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 5 | 2023 |
| SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning Z Wen, J Zhang, Y Fang ACL 2024, 2024 | 1 | 2024 |
| Few-shot LLM Synthetic Data with Distribution Matching J Ren, Z Du, Z Wen, Q Jia, S Dai, C Wu, Z Dong Proceedings of the ACM Web Conference, 2025 | | 2025 |
| An end-to-end bi-objective approach to deep graph partitioning P Wei, Y Fang, Z Wen, Z Xiao, B Chen Neural Networks 181, 106823, 2025 | | 2025 |
| A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning X Yu, Y Fang, Z Liu, Y Wu, Z Wen, J Bo, X Zhang, SCH Hoi arXiv preprint arXiv:2402.01440, 2024 | | 2024 |
| Generalizing graph neural networks across graphs, time, and tasks Z Wen Singapore Management University, 2023 | | 2023 |
Yuan FANGSingapore Management UniversityGeverifieerd e-mailadres voor smu.edu.sg