Song Wang

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

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Song Wang

Otros nombres王淞

Ph.D. Student, University of Virginia

Dirección de correo verificada de virginia.edu - Página principal

Few-shot Learning In-Context Learning Data Mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	138	2023
Large Language Models for Data Annotation and Synthesis: A Survey Z Tan, D Li, S Wang*, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024	121*	2024
Knowledge Editing for Large Language Models: A Survey S Wang, Y Zhu, H Liu, Z Zheng, C Chen, J Li ACM Computing Surveys, 2023	103	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	58	2021
Hierarchical heterogeneous graph representation learning for short text classification Y Wang, S Wang, Q Yao, D Dou EMNLP, 2021	53	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	51	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	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	32	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	27	2022
Faith: Few-shot graph classification with hierarchical task graphs S Wang, Y Dong, X Huang, C Chen, J Li IJCAI, 2022	25	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	24	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	20	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	19	2023
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	18	2024
Noise-robust fine-tuning of pretrained language models via external guidance S Wang, Z Tan, R Guo, J Li EMNLP Findings, 2023	18	2023
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	18	2022
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	13	2023
Knowledge Graph-Enhanced Large Language Models via Path Selection H Liu, S Wang, Y Zhu, Y Dong, J Li ACL Findings, 2024	12	2024
Safety in Graph Machine Learning: Threats and Safeguards S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ... arXiv preprint arXiv:2405.11034, 2024	12	2024
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

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