Song Wang

According to our database, Song Wang authored at least 57 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong

CoRR, August, 2025

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction.

Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li

CoRR, June, 2025

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation.

Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen

CoRR, May, 2025

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning.

Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen

CoRR, May, 2025

Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning.

Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou

CoRR, May, 2025

Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis.

Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer, Lindsay Welton, Jacob Cogan, Yuen-Hei Chung, Lei Tian, Zaifu Zhan, Yu Hou, Mingquan Lin, Genevieve B. Melton, Rui Zhang

CoRR, May, 2025

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer.

Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen

CoRR, April, 2025

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations.

Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu

CoRR, April, 2025

A Survey of Scaling in Large Language Model Reasoning.

Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li

CoRR, April, 2025

Knowledge Editing for Large Language Models: A Survey.

Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li

ACM Comput. Surv., March, 2025

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai

CoRR, January, 2025

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs.

Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li

Trans. Mach. Learn. Res., 2025

A natural language processing-based approach for early detection of heart failure onset using electronic health records.

Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian

Knowl. Based Syst., 2025

Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.

Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.

Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations.

Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.

Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models.

Haochen Liu, Song Wang, Chen Chen, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

BrainMAP: Learning Multiple Activation Pathways in Brain Networks.

Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach.

Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective.

Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Learning Hierarchical Task Structures for Few-shot Graph Classification.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

ACM Trans. Knowl. Discov. Data, April, 2024

Federated Graph Learning with Graphless Clients.

Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li

Trans. Mach. Learn. Res., 2024

Graph learning for particle accelerator operations.

Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li

Frontiers Big Data, 2024

A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation.

Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding

CoRR, 2024

A Benchmark for Fairness-Aware Graph Learning.

Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li

CoRR, 2024

Safety in Graph Machine Learning: Threats and Safeguards.

Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li

CoRR, 2024

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations.

Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li

CoRR, 2024

Large Language Models for Data Annotation: A Survey.

Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

CoRR, 2024

PyGDebias: A Python Library for Debiasing in Graph Learning.

Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Interpreting Pretrained Language Models via Concept Bottlenecks.

Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Mixture of Demonstrations for In-Context Learning.

Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.

Haochen Liu, Song Wang, Chen Chen, Jundong Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization.

Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai

Proceedings of the IEEE International Conference on Data Mining, 2024

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.

Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models for Data Annotation and Synthesis: A Survey.

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Understanding and Modeling Job Marketplace with Pretrained Language Models.

Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models.

Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li

Proceedings of the IEEE International Conference on Big Data, 2024

Knowledge Graph-Enhanced Large Language Models via Path Selection.

Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning.

Zihan Chen, Song Wang, Cong Shen, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Fairness in Graph Mining: A Survey.

Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li

IEEE Trans. Knowl. Data Eng., October, 2023

Interpreting Pretrained Language Models via Concept Bottlenecks.

Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu

CoRR, 2023

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.

Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng

CoRR, 2023

Few-shot Node Classification with Extremely Weak Supervision.

Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Contrastive Meta-Learning for Few-shot Node Classification.

Song Wang, Zhen Tan, Huan Liu, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Federated Few-shot Learning.

Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance.

Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fair Few-Shot Learning with Auxiliary Sets.

Song Wang, Jing Ma, Lu Cheng, Jundong Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Generative Few-shot Graph Classification: An Adaptive Perspective.

Song Wang, Jundong Li

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph Few-shot Learning with Task-specific Structures.

Song Wang, Chen Chen, Jundong Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification.

Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu

Proceedings of the Learning on Graphs Conference, 2022

Task-Adaptive Few-shot Node Classification.

Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On Structural Explanation of Bias in Graph Neural Networks.

Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.

Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

REFORM: Error-Aware Few-Shot Knowledge Graph Completion.

Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021