Publications

Grounding Memory Summarization in Utility Intent

2026

Zhenyu Lei, Mingjia Shi, Xingbo Fu, Haoyu He, Qi R. Wang, Jundong Li

Conference on Empirical Methods in Natural Language Processing (EMNLP)

arXiv

A Survey of Scaling in Large Language Model Reasoning

2026

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

ACM SIGKDD Explorations Newsletter

Safety in Graph Machine Learning: Threats and Safeguards

2026

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

IEEE Transactions on Knowledge and Data Engineering

GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks

2025

Xingbo Fu, Zhenyu Lei, Zihan Chen, Binchi Zhang, Chuxu Zhang, Jundong Li

The 39th Annual Conference on Neural Information Processing Systems (NeurIPS)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions

2025

Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD Tutorial/Survey Track)

Edge Prompt Tuning for Graph Neural Networks

2025

Xingbo Fu, Yinhan He, Jundong Li

International Conference on Learning Representations (ICLR)

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

2025

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

AAAI Conference on Artificial Intelligence (AAAI)

From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning

2025

Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jundong Li

The Conference on Empirical Methods in Natural Language Processing (EMNLP)

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

2025

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

European Conference on Artificial Intelligence (ECAI)

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs

2025

Zihan Chen, Xingbo Fu, Yushun Dong, Jundong Li, Cong Shen

Transactions on Machine Learning Research (TMLR)

Graph Foundation Models: A Comprehensive Survey

2025

Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh Chawla, Chuxu Zhang, Yanfang Ye

Preprint

arXivCode

Federated Graph Learning with Structure Proxy Alignment

2024

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Federated Graph Learning with Graphless Clients

2024

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

Transactions on Machine Learning Research (TMLR)

Federated Few-Shot Learning

2023

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

Spatial-Temporal Networks for Antibiogram Pattern Prediction

2023

Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li

IEEE International Conference on Healthcare Informatics (IEEE ICHI)

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications

2022

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

ACM SIGKDD Explorations Newsletter

A short version has been accepted to International Workshop on Federated Learning with Graph Data in Conjunction with CIKM 2022

Online Clustering based Fault Data Detection Method for Distributed PV Sites

2020

Shujie Wang, Feng Gao, Jiang Wu, Chao Zheng, Xingbo Fu, Fangwei Duan

Chinese Control Conference (CCC)

Paper

When Do Drivers Concentrate? Attention-based Driver Behavior Modeling with Deep Reinforcement Learning

2020

Xingbo Fu, Feng Gao, Jiang Wu

Preprint

arXiv

Spatiotemporal Attention Networks for Wind Power Forecasting

2019

Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan

International Conference on Data Mining Workshops (ICDM Workshops)

A Simulation Approach to Multi-station Solar Irradiance Data Considering Temporal Correlations

2019

Xingbo Fu, Feng Gao, Jiang Wu, Ruanming Huang, Yichao Huang, Fei Fei

International Conference on Innovative Smart Grid Technologies (ISGT Asia)

Wind Power Capacity Planning in Enterprise’s Microgrid based on Approximation Expectation of Operation Cost

2019

Yuzhou Zhou, Qiaozhu Zhai, Xingbo Fu, Xiaohong Guan, Feng Gao, Jiang Wu, Zhanbo Xu

IEEE Power & Energy Society General Meeting (PESGM)

Paper

A Simulation Method of Solar Irradiance Data Based on Feature Clustering and MTPM

2018

Xingbo Fu, Feng Gao, Jiang Wu, Xiaohong Guan, Xuan Li, Pengyuan Liu, Pai Li

World Congress on Intelligent Control and Automation (WCICA)

Paper

Hybrid Features based K-means Clustering Algorithm for use in Electricity Customer Load Pattern Analysis

2018

Pengyuan Liu, Chenye Yang, Jiang Wu, Xingbo Fu, Ruanming Huang, Yichao Huang, Fei Fei

Chinese Control Conference (CCC)

Paper