| Fairness in graph mining: A survey Y Dong, J Ma, S Wang, C Chen, J Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 51 | 2023 |
| Reform: Error-aware few-shot knowledge graph completion S Wang, X Huang, C Chen, L Wu, J Li Proceedings of the 30th ACM International Conference on Information …, 2021 | 31 | 2021 |
| Hierarchical heterogeneous graph representation learning for short text classification Y Wang, S Wang, Q Yao, D Dou arXiv preprint arXiv:2111.00180, 2021 | 23 | 2021 |
| Task-adaptive few-shot node classification S Wang, K Ding, C Zhang, C Chen, J Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 22 | 2022 |
| On structural explanation of bias in graph neural networks Y Dong, S Wang, Y Wang, T Derr, J Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 19 | 2022 |
| Faith: Few-shot graph classification with hierarchical task graphs S Wang, Y Dong, X Huang, C Chen, J Li arXiv preprint arXiv:2205.02435, 2022 | 13 | 2022 |
| Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Z Tan, S Wang, K Ding, J Li, H Liu Learning on Graphs Conference, 4: 1-4: 21, 2022 | 11 | 2022 |
| Recognizing medical search query intent by few-shot learning Y Wang, S Wang, Y Li, D Dou Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| Graph few-shot learning with task-specific structures S Wang, C Chen, J Li Advances in Neural Information Processing Systems 35, 38925-38936, 2022 | 9 | 2022 |
| Few-shot node classification with extremely weak supervision S Wang, Y Dong, K Ding, C Chen, J Li Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 7 | 2023 |
| Interpreting unfairness in graph neural networks via training node attribution Y Dong, S Wang, J Ma, N Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7441-7449, 2023 | 6 | 2023 |
| Federated Few-shot Learning S Wang, X Fu, K Ding, C Chen, H Chen, J Li arXiv preprint arXiv:2306.10234, 2023 | 6 | 2023 |
| Knowledge Editing for Large Language Models: A Survey S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li arXiv preprint arXiv:2310.16218, 2023 | 1 | 2023 |
| Fair Few-shot Learning with Auxiliary Sets S Wang, J Ma, L Cheng, J Li arXiv preprint arXiv:2308.14338, 2023 | 1 | 2023 |
| Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance S Wang, Z Tan, R Guo, J Li arXiv preprint arXiv:2311.01108, 2023 | | 2023 |
| Contrastive Meta-Learning for Few-shot Node Classification S Wang, Z Tan, H Liu, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Graph Embeddings for CEBAF Operations: Progress and Future Plans C Tennant, D Moser, T Larrieu, J Li, S Wang, Z Xu Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA …, 2022 | | 2022 |
Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
