Song Wang

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Jundong LiAssistant Professor, University of VirginiaAdresă de e-mail confirmată pe virginia.edu
Yushun DongAssistant Professor, Department of Computer Science, Florida State UniversityAdresă de e-mail confirmată pe fsu.edu
Zhen TanPh.D. at Arizona State UniversityAdresă de e-mail confirmată pe asu.edu
Chen ChenUniversity of VirginiaAdresă de e-mail confirmată pe virginia.edu
Huan LiuRegents Professor, Arizona State UniversityAdresă de e-mail confirmată pe asu.edu
Jing MaCase Western Reserve UniversityAdresă de e-mail confirmată pe case.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityAdresă de e-mail confirmată pe northwestern.edu
Lu ChengAssistant Professor, UIC CSAdresă de e-mail confirmată pe uic.edu
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityAdresă de e-mail confirmată pe comp.polyu.edu.hk
Chuxu ZhangAssociate Professor of CSE, University of Connecticut (UConn)Adresă de e-mail confirmată pe uconn.edu
Tianlong ChenAssistant Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinAdresă de e-mail confirmată pe cs.unc.edu
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameAdresă de e-mail confirmată pe nd.edu

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Song Wang

Alte nume王淞

Ph.D. Student, University of Virginia

Adresă de e-mail confirmată pe virginia.edu - Pagina de pornire

Few-shot Learning In-Context Learning Data Mining


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după 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	131	2023
Knowledge Editing for Large Language Models: A Survey S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li ACM Computing Surveys, 2023	84	2023
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	81	2024
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	57	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	44	2022
Hierarchical heterogeneous graph representation learning for short text classification Y Wang, S Wang, Q Yao, D Dou EMNLP, 2021	44	2021
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	35	2022
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	31	2023
Faith: Few-shot graph classification with hierarchical task graphs S Wang, Y Dong, X Huang, C Chen, J Li IJCAI, 2022	23	2022
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	21	2023
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	19	2022
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	16	2024
Noise-robust fine-tuning of pretrained language models via external guidance S Wang, Z Tan, R Guo, J Li EMNLP Findings, 2023	15	2023
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	15	2023
Graph few-shot learning with task-specific structures S Wang, C Chen, J Li Advances in Neural Information Processing Systems 35, 38925-38936, 2022	15	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	15	2022
Label-guided learning for text classification X Liu, S Wang, X Zhang, X You, J Wu, D Dou arXiv preprint arXiv:2002.10772, 2020	11	2020
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	8	2023
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	6	2024
Knowledge Graph-Enhanced Large Language Models via Path Selection H Liu, S Wang, Y Zhu, Y Dong, J Li ACL Findings, 2024	5	2024

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