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Song Wang
Song Wang
Alte nume王淞
Ph.D. Student, University of Virginia
Adresă de e-mail confirmată pe virginia.edu - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Fairness in graph mining: A survey
Y Dong, J Ma, S Wang, C Chen, J Li
IEEE Transactions on Knowledge and Data Engineering 35 (10), 10583-10602, 2023
1312023
Knowledge Editing for Large Language Models: A Survey
S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li
ACM Computing Surveys, 2023
842023
Large language models for data annotation: A survey
Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ...
EMNLP Main, 2024
812024
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
572021
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
442022
Hierarchical heterogeneous graph representation learning for short text classification
Y Wang, S Wang, Q Yao, D Dou
EMNLP, 2021
442021
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
352022
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
312023
Faith: Few-shot graph classification with hierarchical task graphs
S Wang, Y Dong, X Huang, C Chen, J Li
IJCAI, 2022
232022
Federated few-shot learning
S Wang, X Fu, K Ding, C Chen, H Chen, J Li
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
212023
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
192022
Interpreting pretrained language models via concept bottlenecks
Z Tan, L Cheng, S Wang, B Yuan, J Li, H Liu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 56-74, 2024
162024
Noise-robust fine-tuning of pretrained language models via external guidance
S Wang, Z Tan, R Guo, J Li
EMNLP Findings, 2023
152023
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
152023
Graph few-shot learning with task-specific structures
S Wang, C Chen, J Li
Advances in Neural Information Processing Systems 35, 38925-38936, 2022
152022
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
152022
Label-guided learning for text classification
X Liu, S Wang, X Zhang, X You, J Wu, D Dou
arXiv preprint arXiv:2002.10772, 2020
112020
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
82023
Ceb: Compositional evaluation benchmark for fairness in large language models
S Wang, P Wang, T Zhou, Y Dong, Z Tan, J Li
arXiv preprint arXiv:2407.02408, 2024
62024
Knowledge Graph-Enhanced Large Language Models via Path Selection
H Liu, S Wang, Y Zhu, Y Dong, J Li
ACL Findings, 2024
52024
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