Song Wang - RankMe

114 papers A* 23A 8B 1Misc 1Journal 69Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation. ACM Trans. Knowl. Discov. Data Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2026	J	`jnl`	BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration. CoRR Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li
2026	J	`jnl`	Explainable Graph Learning for Particle Accelerator Operations. Trans. Mach. Learn. Res. Song Wang, Chris Tennant, Jundong Li
2026	A	`conf`	Explaining the 'Unexplainable' Large Language Models. WSDM Zhen Tan, Song Wang, Tianlong Chen, Jing Ma, Jundong Li, Huan Liu
2026	J	`jnl`	HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology. CoRR Shuang Zhou, Kai Yu, Song Wang, Wenya Xie, Zaifu Zhan, Meng-Han Tsai, Yuen-Hei Chung, Shutong Hou, Huixue Zhou, Min Zeng, Bhavadharini Ramu, Lin Yee Chen, Feng Xie, Rui Zhang
2026	J	`jnl`	How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge. CoRR Junhong Lin, Bing Zhang, Song Wang, Ziyan Liu, Dan Gutfreund, Julian Shun, Yada Zhu
2026	J	`jnl`	Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion. CoRR Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2026	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2025	J	`jnl`	A Survey of Scaling in Large Language Model Reasoning. CoRR Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li
2025	J	`jnl`	A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. Yuxi Liu, Zhen Tan, Zhenhao Zhang, Song Wang, Jingchuan Guo, Huan Liu, Tianlong Chen, Jiang Bian
2025	A*	`conf`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li
2025	J	`jnl`	Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu
2025	J	`jnl`	Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder. CoRR Zhen Xu, Zhen Tan, Song Wang, Kaidi Xu, Tianlong Chen
2025	A*	`conf`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2025	A*	`conf`	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. ICLR Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2025	—	`conf`	CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li
2025	A	`conf`	Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
2025	—	`conf`	Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models. ICDM (Workshops) Song Wang, Jundong Li
2025	J	`jnl`	Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen
2025	J	`jnl`	Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. CoRR Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai
2025	J	`jnl`	Fairness in Multi-modal Medical Diagnosis with Demonstration Selection. CoRR Dawei Li, Zijian Gu, Peng Wang, Chuhan Song, Zhen Tan, Mohan Zhang, Tianlong Chen, Yu Tian, Song Wang
2025	—	`conf`	Fairness-Aware Graph Learning: A Benchmark. KDD (2) Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2025	J	`jnl`	FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen
2025	—	`conf`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. EMNLP (Findings) Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li
2025	J	`jnl`	From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. CoRR Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	J	`jnl`	Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. Trans. Mach. Learn. Res. Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li
2025	A*	`conf`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2025	A	`conf`	GraphRCG: Self-Conditioned Graph Generation. CIKM Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2025	J	`jnl`	Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jundong Li, Javier Rasero, Aiying Zhang, Chirag Agarwal
2025	A*	`conf`	Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). IJCAI Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2025	J	`jnl`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. CoRR Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2025	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2025	A*	`conf`	Learning from Diverse Reasoning Paths with Routing and Collaboration. EMNLP Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	J	`jnl`	Learning from Diverse Reasoning Paths with Routing and Collaboration. CoRR Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li
2025	A*	`conf`	MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. ICML Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025	J	`jnl`	MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. CoRR Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen
2025	J	`jnl`	Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. CoRR Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen
2025	J	`jnl`	Multi-Agent Debate for LLM Judges with Adaptive Stability Detection. CoRR Tianyu Hu, Zhen Tan, Song Wang, Huaizhi Qu, Tianlong Chen
2025	J	`jnl`	Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. CoRR Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou
2025	—	`conf`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. ACL (Findings) Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	J	`jnl`	Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2025	A*	`conf`	Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. ICLR Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025	J	`jnl`	Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. CoRR Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025	A*	`conf`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	J	`jnl`	Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen
2025	A*	`conf`	Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. EMNLP Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025	J	`jnl`	Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. CoRR Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li
2025	J	`jnl`	Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs. CoRR Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu
2025	A	`conf`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong
2025	J	`jnl`	The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. CoRR Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen
2025	A*	`conf`	Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu
2025	J	`jnl`	Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. CoRR 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
2025	J	`jnl`	Uncertainty-aware large language models for explainable disease diagnosis. npj Digit. Medicine 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
2025	A*	`conf`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	A Benchmark for Fairness-Aware Graph Learning. CoRR Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
2024	J	`jnl`	A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. CoRR Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding
2024	J	`jnl`	BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li
2024	J	`jnl`	CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li
2024	A*	`conf`	Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. ICDM Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai
2024	—	`conf`	FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024	J	`jnl`	FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR Zihan Chen, Song Wang, Cong Shen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. CoRR Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	J	`jnl`	Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li
2024	—	`conf`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	J	`jnl`	Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR Haochen Liu, Song Wang, Chen Chen, Jundong Li
2024	A*	`conf`	Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu
2024	J	`jnl`	Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li
2024	J	`jnl`	Graph learning for particle accelerator operations. Frontiers Big Data Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li
2024	J	`jnl`	GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li
2024	—	`conf`	Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2024	B	`conf`	KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. IEEE Big Data Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li
2024	—	`conf`	Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	J	`jnl`	Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li
2024	A*	`conf`	Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024	J	`jnl`	Large Language Models for Data Annotation: A Survey. CoRR Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024	J	`jnl`	Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2024	A*	`conf`	Mixture of Demonstrations for In-Context Learning. NeurIPS Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
2024	—	`conf`	PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li
2024	J	`jnl`	Safety in Graph Machine Learning: Threats and Safeguards. CoRR Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
2024	A	`conf`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CIKM Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024	J	`jnl`	Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li
2024	J	`jnl`	Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
2023	A*	`conf`	Contrastive Meta-Learning for Few-shot Node Classification. KDD Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023	J	`jnl`	Contrastive Meta-Learning for Few-shot Node Classification. CoRR Song Wang, Zhen Tan, Huan Liu, Jundong Li
2023	A	`conf`	Fair Few-Shot Learning with Auxiliary Sets. ECAI Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023	J	`jnl`	Fair Few-shot Learning with Auxiliary Sets. CoRR Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023	J	`jnl`	Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
2023	A*	`conf`	Federated Few-shot Learning. KDD Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	J	`jnl`	Federated Few-shot Learning. CoRR Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
2023	A	`conf`	Few-shot Node Classification with Extremely Weak Supervision. WSDM Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	J	`jnl`	Few-shot Node Classification with Extremely Weak Supervision. CoRR Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
2023	Misc	`conf`	Generative Few-shot Graph Classification: An Adaptive Perspective. ACSSC Song Wang, Jundong Li
2023	J	`jnl`	Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
2023	A*	`conf`	Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2023	J	`jnl`	Knowledge Editing for Large Language Models: A Survey. CoRR Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
2023	—	`conf`	Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023	J	`jnl`	Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li
2023	J	`jnl`	Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR 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
2022	A*	`conf`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	J	`jnl`	FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
2022	A*	`conf`	Graph Few-shot Learning with Task-specific Structures. NeurIPS Song Wang, Chen Chen, Jundong Li
2022	J	`jnl`	Graph Few-shot Learning with Task-specific Structures. CoRR Song Wang, Chen Chen, Jundong Li
2022	J	`jnl`	Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li
2022	A*	`conf`	On Structural Explanation of Bias in Graph Neural Networks. KDD Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022	J	`jnl`	On Structural Explanation of Bias in Graph Neural Networks. CoRR Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li
2022	A*	`conf`	Task-Adaptive Few-shot Node Classification. KDD Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	J	`jnl`	Task-Adaptive Few-shot Node Classification. CoRR Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
2022	—	`conf`	Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2022	J	`jnl`	Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu
2021	A	`conf`	REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li