Books:
Network Connectivity: Concepts, Computation, and Optimization
Chen Chen, Hanghang Tong
Morgan & Claypool Publishers, 2022. [website]
Journal Papers:
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
ACM Transactions on Knowledge Discovery from Data (TKDD), 2025.
Wastewater-based Epidemiology for COVID-19 Surveillance and Beyond: A Survey
Chen Chen, Yunfan Wang, Gursharn Kaur, Aniruddha Adiga, Baltazar Espinoza, Srinivasan Venkatramanan, Andrew Warren, Bryan Lewis, Justin Crow, Rekha Singh, Alexandra Lorentz, Denise Toney, Madhav Marathe
Epidemics, 2024.
Knowledge Editing for Large Language Models: A Survey
Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li
ACM Computing Surveys (CSUR), 2024.
Fairness in Graph Mining: A Survey
Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
Understanding the Coevolution of Mask Wearing and Epidemics: A Network Perspective
Zirou Qiu, Baltazar Espinoza, Vitor V Vasconcelos, Chen Chen, Sara M Constantino, Stefani A Crabtree, Luojun Yang, Anil Vullikanti, Jiangzhuo Chen, Jörgen Weibull, Kaushik Basu, Avinash Dixit, Simon A Levin, Madhav V Marathe
Proceedings of the National Academy of Sciences (PNAS), 2022.
Learning Hierarchical Task Structures for Few-shot Graph Classification
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023.
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu, Binchi Zhang, Yushun Dong, Chen Chen, Jundong Li
SIGKDD Explorations, 2022.
Fast Connectivity Minimization on Large-scale Networks
Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
ACM Transactions on Knowledge Discovery from Data, 2021.
Incremental One-Class Collaborative Filtering with Co-Evolving Side Networks
Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
Knowledge and Information Systems (KAIS), 2021.
Towards Optimal Connectivity on Multi-Layered Networks
Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017
Cross-Dependency Inference in Multi-layered Networks: A Collaborative Filtering Perspective
Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
ACM Transactions on Knowledge Discovery in Data (TKDD), 2017. (KDD2016 Special Issue)
Eigen-Optimization on Large Graphs by Edge Manipulation
Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos and Christos Faloutsos
ACM Transactions on Knowledge Discovery in Data (TKDD), 2016.
Node Immunization on Large Graphs: Theory and Algorithms
Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.
Conference Papers
Uncovering Latent Communication Patterns in Brain Networks via Adaptive Flow Routing
Tianhao Huang, Guanghui Min, Zhenyu Lei, Aiying Zhang, Chen Chen
International Conference on Machine Learning (ICML), 2026.
GIST: Targeted Data Selection for Instruction Tuning via Coupled Optimization Geometry
Guanghui Min, Tianhao Huang, Ke Wan, Chen Chen
International Conference on Machine Learning (ICML), 2026.
Bridging Dynamics and Data: A Unified Diffusion Framework for Mechanistically-Informed Epidemic Forecasting
Guanghui Min, Tianhao Huang, Ke Wan, Qi R. Wang, Chen Chen
International Conference on Machine Learning (ICML), 2026.
Unified Heterogeneous Event Sequence Modeling for Remission-Stage Risk Prediction among Cancer Survivors with Multiple Chronic Conditions
Haochen Liu, Yujie Zhang, Naveen Abedin, Nicholas Kidd, Kathleen Porter, Chen Chen, Wen You, Jundong Li
IEEE International Conference on Healthcare Informatics (ICHI), 2026.
Scaling Epidemic Inference on Contact Networks: Theory and Algorithms
Guanghui Min, Yinhan He, Chen Chen
Neural Information Processing Systems (NeurIPS), 2025.
Exploring Generative Approaches for Predicting Copolymer Sequences from Reaction Conditions
Guanghui Min, Wenxin Xu, Kateri DuBay, Chen Chen
Neural Information Processing Systems (NeurIPS), 2025. (AI for Science Workshop)
iMask: Towards A Smart Mask Network Prototype for Monitoring Respiratory Viruses.
Emma Tong, Cynthia Smyser, Chen Chen
ACM International Conference on Information and Knowledge Management (CIKM), 2025. (Demo Track)
Fairness-Aware Graph Learning: A Benchmark.
Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. (Datasets and Benchmarks Track)
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models.
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025.
Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models.
Yinhan He, Wendy Zheng, Yushun Dong, Yaochen Zhu, Chen Chen, Jundong Li
International Conference on Machine Learning (ICML), 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
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Out-of-Distribution Generalization on Graphs via Progressive Inference.
Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Certified Causal Defense with Generalizable Robustness.
Yiran Qiao, Yu Yin, Chen Chen, Jing Ma
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.
Xinbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li
AAAI Conference on Artificial Intelligence (AAAI), 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
AAAI Conference on Artificial Intelligence (AAAI), 2025.
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.
Zhenyu Lei, Yushun Dong, Jundong Li, Chen Chen
AAAI Conference on Artificial Intelligence (AAAI), 2025.
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms.
Yinhan He, Chen Chen, Song Wang, Guanghui Min, Jundong Li
ACM International Conference on Web Search and Data Mining (WSDM), 2025.
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.
Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
Federated Graph Learning with Structure Proxy Alignment.
Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation.
Haochen Liu, Song Wang, Chen Chen, Jundong Li
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 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
The Web Conference (formerly WWW), 2024. (Demo Paper)
Adversarial Attacks on Fairness of Graph Neural Networks.
Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
International Conference on Learning Representations (ICLR), 2024.
SD-Attack: Targeted Spectral Attacks on Graphs.
Xianren Zhang, Jing Ma, Yushun Dong, Chen Chen, Min Gao, Jundong Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024.
A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection.
Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Federated Few-shot Learning.
Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Spatial-Temporal Networks for Antibiogram Pattern Prediction.
Xingbo Fu, Chen Chen, Yushun Dong, Anil Vullikanti, Eili Klein, Gregory Madden, Jundong Li
IEEE International Conference on Healthcare Informatics (ICHI), 2023.
Assigning Agents to Increase Network-Based Neighborhood Diversity.
Zirou Qiu, Andrew Yuan, Chen Chen, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz, Richard E. Stearns, Anil Vullikanti
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence.
Zirou Qiu, Chen Chen, Madhav Marathe, SS Ravi, Daniel Rosenkrantz, Richard Stearns, Anil Vullikanti
AAAI Conference on Artificial Intelligence (AAAI), 2023.
Few-shot Node Classification with Extremely Weak Supervision.
Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li
ACM International Conference on Web Search and Data Mining (WSDM), 2023.
Graph Few-shot Learning with Task-specific Structures.
Song Wang, Chen Chen, Jundong Li
Neural Information Processing Systems (NeurIPS), 2022.
Task-Adaptive Few-shot Node Classification.
Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.
When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.
Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022.
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.
Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
International Joint Conference on Artificial Intelligence (IJCAI), 2022.
Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics.
Zirou Qiu, Chen Chen, Madhav V Marathe, SS Ravi, Daniel J Rosenkrantz, Richard E Stearns, Anil Vullikanti
AAAI Conference on Artificial Intelligence (AAAI), 2022.
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay.
Jack Heavey, Jiaming Cui, Chen Chen, B Aditya Prakash, Anil Vullikanti
AAAI Conference on Artificial Intelligence (AAAI), 2022.
REFORM: Error-Aware Few-Shot Knowledge Graph Completion.
Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li
ACM International Conference on Information and Knowledge Management (CIKM), 2021.
Fairness-Aware Unsupervised Feature Selection.
Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
ACM International Conference on Information and Knowledge Management (CIKM), 2021.
Deconfounding with Networked Observational Data in a Dynamic Environment.
Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li
ACM International Conference on Web Search and Data Mining (WSDM), 2021.
Unsupervised Hierarchical Feature Selection on Networked Data.
Yuzhe Zhang, Chen Chen, Minnan Luo, Jundong Li, Caixia Yan, Qinghua Zheng
International Conference on Database Systems for Advanced Applications (DASFAA), 2020.
Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search.
Zhen Peng, Minnan Luo, Jundong Li, Chen Chen, Qinghua Zheng
International Conference on Database Systems for Advanced Applications (DASFAA), 2019.
Network Connectivity Optimization: Fundamental Limits and Effective Algorithms.
Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018.
Multi-Layered Network Embedding.
Chen Chen*, Jundong Li*, Hanghang Tong, Huan Liu
SIAM International Conference on Data Mining (SDM), 2018. (*Equal Contribution)
VariFunNet, An Integrated Multiscale Modeling Framework to Study the Effects of Rare Non-coding Variants in Genome-wide Association Studies: Applied to Alzheimer's Disease.
Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017.
FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks.
Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. (Bests of KDD 2016)
On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control.
Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
IEEE International Conference on Data Mining (ICDM), 2015.
|