REFORM: Error-Aware Few-Shot Knowledge Graph Completion. - Song Wang 013; Xiao Huang 001; Chen Chen 022; Liang Wu 006; Jundong Li (CIKM, 2021)

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. - Song Wang 013; Yushun Dong; Xiao Huang 001; Chen Chen 022; Jundong Li (IJCAI, 2022)

On Structural Explanation of Bias in Graph Neural Networks. - Yushun Dong; Song Wang 013; Yu Wang 160; Tyler Derr; Jundong Li (KDD, 2022)

Task-Adaptive Few-shot Node Classification. - Song Wang 013; Kaize Ding; Chuxu Zhang; Chen Chen 022; Jundong Li (KDD, 2022)

Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. - Zhen Tan 001; Song Wang 013; Kaize Ding; Jundong Li; Huan Liu 001 (LoG, 2022)

Graph Few-shot Learning with Task-specific Structures. - Song Wang 013; Chen Chen 022; Jundong Li (NeurIPS, 2022)

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. - Yushun Dong; Song Wang 013; Jing Ma 002; Ninghao Liu; Jundong Li (AAAI, 2023)

Generative Few-shot Graph Classification: An Adaptive Perspective. - Song Wang 013; Jundong Li (ACSSC, 2023)

Fair Few-Shot Learning with Auxiliary Sets. - Song Wang 013; Jing Ma 002; Lu Cheng 001; Jundong Li (ECAI, 2023)

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. - Song Wang 013; Zhen Tan 001; Ruocheng Guo; Jundong Li (EMNLP (Findings), 2023)

Federated Few-shot Learning. - Song Wang 013; Xingbo Fu; Kaize Ding; Chen Chen 022; Huiyuan Chen; Jundong Li (KDD, 2023)

Contrastive Meta-Learning for Few-shot Node Classification. - Song Wang 013; Zhen Tan 001; Huan Liu 001; Jundong Li (KDD, 2023)

Few-shot Node Classification with Extremely Weak Supervision. - Song Wang 013; Yushun Dong; Kaize Ding; Chen Chen 022; Jundong Li (WSDM, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Interpreting Pretrained Language Models via Concept Bottlenecks. - Zhen Tan 001; Lu Cheng 001; Song Wang 013; Yuan Bo; Jundong Li; Huan Liu 001 (CoRR, 2023)

Fairness in Graph Mining: A Survey. - Yushun Dong; Jing Ma 002; Song Wang 013; Chen Chen 022; Jundong Li (IEEE Trans. Knowl. Data Eng., 2023)

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. - Zihan Chen 002; Song Wang 013; Cong Shen 001; Jundong Li (ACL (Findings), 2024)

Knowledge Graph-Enhanced Large Language Models via Path Selection. - Haochen Liu; Song Wang 013; Yaochen Zhu; Yushun Dong; Jundong Li (ACL (Findings), 2024)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. - Zaiyi Zheng; Yushun Dong; Song Wang 013; Haochen Liu; Qi Wang; Jundong Li (IEEE Big Data, 2024)

Understanding and Modeling Job Marketplace with Pretrained Language Models. - Yaochen Zhu; Liang Wu 006; Binchi Zhang; Song Wang 013; Qi Guo; Liangjie Hong; Luke Simon; Jundong Li (CIKM, 2024)

Large Language Models for Data Annotation and Synthesis: A Survey. - Zhen Tan 001; Dawei Li 008; Song Wang 013; Alimohammad Beigi; Bohan Jiang; Amrita Bhattacharjee; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (EMNLP, 2024)

Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. - Zhen Tan 001; Chengshuai Zhao; Raha Moraffah; Yifan Li; Song Wang 013; Jundong Li; Tianlong Chen 001; Huan Liu 001 (EMNLP, 2024)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Minghua Xu 003; Jundong Li; Yiwei Cai (ICDM, 2024)

Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. - Haochen Liu; Song Wang 013; Chen Chen 022; Jundong Li (NAACL-HLT, 2024)

Mixture of Demonstrations for In-Context Learning. - Song Wang 013; Zihan Chen 002; Chengshuai Shi; Cong Shen 001; Jundong Li (NeurIPS, 2024)

Interpreting Pretrained Language Models via Concept Bottlenecks. - Zhen Tan 001; Lu Cheng 001; Song Wang 013; Bo Yuan 017; Jundong Li; Huan Liu 001 (PAKDD (3), 2024)

PyGDebias: A Python Library for Debiasing in Graph Learning. - Yushun Dong; Zhenyu Lei 004; Zaiyi Zheng; Song Wang 013; Jing Ma 002; Alex Jing Huang; Chen Chen 022; Jundong Li (WWW (Companion Volume), 2024)

Large Language Models for Data Annotation: A Survey. - Zhen Tan 001; Alimohammad Beigi; Song Wang 013; Ruocheng Guo; Amrita Bhattacharjee; Bohan Jiang; Mansooreh Karami; Jundong Li; Lu Cheng 001; Huan Liu 001 (CoRR, 2024)

GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. - Song Wang 013; Zhen Tan 001; Xinyu Zhao; Tianlong Chen 001; Huan Liu 001; Jundong Li (CoRR, 2024)

Safety in Graph Machine Learning: Threats and Safeguards. - Song Wang 013; Yushun Dong; Binchi Zhang; Zihan Chen 002; Xingbo Fu; Yinhan He; Cong Shen 001; Chuxu Zhang; Nitesh V. Chawla; Jundong Li (CoRR, 2024)

A Benchmark for Fairness-Aware Graph Learning. - Yushun Dong; Song Wang 013; Zhenyu Lei 004; Zaiyi Zheng; Jing Ma 002; Chen Chen 022; Jundong Li (CoRR, 2024)

A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. - Kexin Zhang 007; Shuhan Liu; Song Wang 013; Weili Shi; Chen Chen 022; Pan Li; Sheng Li 001; Jundong Li; Kaize Ding (CoRR, 2024)

Graph learning for particle accelerator operations. - Song Wang 013; Chris Tennant; Daniel Moser; Theo Larrieu; Jundong Li (Frontiers Big Data, 2024)

Federated Graph Learning with Graphless Clients. - Xingbo Fu; Song Wang 013; Yushun Dong; Binchi Zhang; Chen Chen 022; Jundong Li (Trans. Mach. Learn. Res., 2024)

Learning Hierarchical Task Structures for Few-shot Graph Classification. - Song Wang 013; Yushun Dong; Xiao Huang 001; Chen Chen 022; Jundong Li (ACM Trans. Knowl. Discov. Data, 2024)

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. - Yiming Xu 001; Zhen Peng 005; Bin Shi; Xu Hua; Bo Dong 001; Song Wang 013; Chen Chen 022 (AAAI, 2025)

Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. - Zhen Tan 001; Jie Peng 002; Song Wang 013; Lijie Hu; Tianlong Chen 001; Huan Liu 001 (AAAI, 2025)

Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. - Xingbo Fu; Zihan Chen 002; Yinhan He; Song Wang 013; Binchi Zhang; Chen Chen 022; Jundong Li (AAAI, 2025)

BrainMAP: Learning Multiple Activation Pathways in Brain Networks. - Song Wang 013; Zhenyu Lei 004; Zhen Tan 001; Jiaqi Ding; Xinyu Zhao; Yushun Dong; Guorong Wu 001; Tianlong Chen 001; Chen Chen 022; Aiying Zhang; Jundong Li (AAAI, 2025)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. - Haochen Liu; Song Wang 013; Chen Chen 022; Jundong Li (ACL (Findings), 2025)

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. - Yushun Dong; Patrick Soga; Yinhan He; Song Wang 013; Jundong Li (ICLR, 2025)

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. - Song Wang 013; Junhong Lin; Xiaojie Guo 002; Julian Shun; Jundong Li; Yada Zhu (ICLR, 2025)

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. - Song Wang 013; Peng Wang 105; Tong Zhou; Yushun Dong; Zhen Tan 001; Jundong Li (ICLR, 2025)

Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. - Yinhan He; Chen Chen 022; Song Wang 013; Guanghui Min; Jundong Li (WSDM, 2025)

A natural language processing-based approach for early detection of heart failure onset using electronic health records. - Yuxi Liu; Zhen Tan 001; Zhenhao Zhang; Song Wang 013; Jingchuan Guo; Huan Liu 001; Tianlong Chen 001; Jiang Bian 001 (Knowl. Based Syst., 2025)

Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. - Song Wang 013; Zhen Tan 001; Yaochen Zhu; Chuxu Zhang; Jundong Li (Trans. Mach. Learn. Res., 2025)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. - Song Wang 013; Xiaodong Yang; Rashidul Islam; Huiyuan Chen; Mingliang Xu 001; Jundong Li; Yiwei Cai (CoRR, 2025)

Knowledge Editing for Large Language Models: A Survey. - Song Wang 013; Yaochen Zhu; Haochen Liu; Zaiyi Zheng; Chen Chen 022; Jundong Li (ACM Comput. Surv., 2025)

A Survey of Scaling in Large Language Model Reasoning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Xingbo Fu; Zhen Lei 001; Peng Wang 105; Huan Liu 001; Cong Shen 001; Jundong Li (CoRR, 2025)

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. - Zhen Tan 001; Song Wang 013; Yifan Li; Yu Kong 001; Jundong Li; Tianlong Chen 001; Huan Liu 001 (CoRR, 2025)

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. - Huaizhi Qu; Inyoung Choi; Zhen Tan 001; Song Wang 013; Sukwon Yun; Qi Long; Faizan Siddiqui 001; Kwonjoon Lee; Tian-Long Chen 001 (CoRR, 2025)

Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. - Shuang Zhou 012; Jiashuo Wang; Zidu Xu; Song Wang 013; David Brauer; Lindsay Welton; Jacob Cogan; Yuen-Hei Chung; Lei Tian; Zaifu Zhan; Yu Hou; Mingquan Lin; et al. (CoRR, 2025)

Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. - Junhong Lin; Xinyue Zeng; Jie Zhu; Song Wang 013; Julian Shun; Jun Wu 019; Dawei Zhou 003 (CoRR, 2025)

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. - Zihan Chen 002; Song Wang 013; Zhen Tan 001; Jundong Li; Cong Shen 001 (CoRR, 2025)

The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. - Ruichen Zhang; Rana Muhammad Shahroz Khan; Zhen Tan 001; Dawei Li 008; Song Wang 013; Tianlong Chen 001 (CoRR, 2025)

AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. - Song Wang 013; Zhen Tan 001; Zihan Chen 002; Shuang Zhou 012; Tianlong Chen 001; Jundong Li (CoRR, 2025)

Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. - Yiming Xu 001; Xu Hua; Zhen Peng 005; Bin Shi; Jiarun Chen; Xingbo Fu; Song Wang 013; Bo Dong 001 (CoRR, 2025)