Transmission Cost of P2P Multicasting. - Ting Peng; Qinghua Zheng; Weimei Lv; Shan Jiang; Haipeng Du; Chen Chen 022 (CCNC, 2009)

On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. - Chen Chen 022; Jingrui He; Nadya Bliss; Hanghang Tong (ICDM, 2015)

Fast Eigen-Functions Tracking on Dynamic Graphs. - Chen Chen 022; Hanghang Tong (SDM, 2015)

FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. - Chen Chen 022; Hanghang Tong; Lei Xie 006; Lei Ying 001; Qing He 011 (KDD, 2016)

Eigen-Optimization on Large Graphs by Edge Manipulation. - Chen Chen 022; Hanghang Tong; B. Aditya Prakash; Tina Eliassi-Rad; Michalis Faloutsos; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2016)

Node Immunization on Large Graphs: Theory and Algorithms. - Chen Chen 022; Hanghang Tong; B. Aditya Prakash; Charalampos E. Tsourakakis; Tina Eliassi-Rad; Christos Faloutsos; Duen Horng Chau (IEEE Trans. Knowl. Data Eng., 2016)

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 022; Annie Gao; Hanghang Tong; Lei Xie 006 (BIBM, 2017)

On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. - Chen Chen 022; Hanghang Tong (Stat. Anal. Data Min., 2017)

Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. - Chen Chen 022; Hanghang Tong; Lei Xie 006; Lei Ying 001; Qing He 011 (ACM Trans. Knowl. Discov. Data, 2017)

Towards Optimal Connectivity on Multi-Layered Networks. - Chen Chen 022; Jingrui He; Nadya Bliss; Hanghang Tong (IEEE Trans. Knowl. Data Eng., 2017)

Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. - Chen Chen 022; Ruiyue Peng; Lei Ying 001; Hanghang Tong (KDD, 2018)

Multi-Layered Network Embedding. - Jundong Li; Chen Chen 022; Hanghang Tong; Huan Liu 001 (SDM, 2018)

Connectivity in Complex Networks: Measures, Inference and Optimization. - Chen Chen 022 (WSDM, 2018)

Heterogeneous Information Network Hashing for Fast Nearest Neighbor Search. - Zhen Peng 005; Minnan Luo; Jundong Li; Chen Chen 022; Qinghua Zheng (DASFAA (1), 2019)

Connectivity in Complex Networks: Measures, Inference and Optimization. - Chen Chen 022 (2019)

Unsupervised Hierarchical Feature Selection on Networked Data. - Yuzhe Zhang 003; Chen Chen 022; Minnan Luo; Jundong Li; Caixia Yan; Qinghua Zheng (DASFAA (3), 2020)

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

Fairness-Aware Unsupervised Feature Selection. - Xiaoying Xing; Hongfu Liu 001; Chen Chen 022; Jundong Li (CIKM, 2021)

Deconfounding with Networked Observational Data in a Dynamic Environment. - Jing Ma 002; Ruocheng Guo; Chen Chen 022; Aidong Zhang; Jundong Li (WSDM, 2021)

Incremental one-class collaborative filtering with co-evolving side networks. - Chen Chen 022; Yinglong Xia; Hui Zang; Jundong Li; Huan Liu 001; Hanghang Tong (Knowl. Inf. Syst., 2021)

Fast Connectivity Minimization on Large-Scale Networks. - Chen Chen 022; Ruiyue Peng; Lei Ying 001; Hanghang Tong (ACM Trans. Knowl. Discov. Data, 2021)

Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay. - Jack Heavey; Jiaming Cui; Chen Chen 022; B. Aditya Prakash; Anil Vullikanti (AAAI, 2022)

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems: Complexity, Special Case Algorithms and Heuristics. - Zirou Qiu; Chen Chen 022; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard Edwin Stearns; Anil Vullikanti (AAAI, 2022)

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

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

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

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction. - Wanjie Tao; Liangyue Li; Chen Chen 022; Zulong Chen; Hong Wen 002 (SIGIR, 2022)

Fairness in Graph Mining: A Survey. - Yushun Dong; Jing Ma 002; Chen Chen 022; Jundong Li (CoRR, 2022)

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications. - Xingbo Fu; Binchi Zhang; Yushun Dong; Chen Chen 022; Jundong Li (SIGKDD Explor., 2022)

Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence. - Zirou Qiu; Chen Chen 022; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard Edwin Stearns; Anil Vullikanti (AAAI, 2023)

Assigning Agents to Increase Network-Based Neighborhood Diversity. - Zirou Qiu; Andrew Yuan; Chen Chen 022; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard Edwin Stearns; Anil Vullikanti (AAMAS, 2023)

Spatial-Temporal Networks for Antibiogram Pattern Prediction. - Xingbo Fu; Chen Chen 022; Yushun Dong; Anil Vullikanti; Eili Klein; Gregory Madden; Jundong Li (ICHI, 2023)

A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection. - Jing Ma 002; Chen Chen 022; Anil Vullikanti; Ritwick Mishra; Gregory Madden; Daniel Borrajo; Jundong Li (KDD, 2023)

Federated Few-shot Learning. - Song Wang 013; Xingbo Fu; Kaize Ding; Chen Chen 022; Huiyuan Chen; 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)

Finding Nontrivial Minimum Fixed Points in Discrete Dynamical Systems. - Zirou Qiu; Chen Chen 022; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard Edwin Stearns; Anil Vullikanti (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)

Adversarial Attacks on Fairness of Graph Neural Networks. - Binchi Zhang; Yushun Dong; Chen Chen 022; Yada Zhu; Minnan Luo; Jundong Li (ICLR, 2024)

Federated Graph Learning with Structure Proxy Alignment. - Xingbo Fu; Zihan Chen 002; Binchi Zhang; Chen Chen 022; Jundong Li (KDD, 2024)

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. - Linxin Guo; Yaochen Zhu; Min Gao 001; Yinghui Tao; Junliang Yu; Chen Chen 022 (KDD, 2024)

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

SD-Attack: Targeted Spectral Attacks on Graphs. - Xianren Zhang; Jing Ma 002; Yushun Dong; Chen Chen 022; Min Gao 001; Jundong Li (PAKDD (2), 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)

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)

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)

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)

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data. - Zhenyu Lei 004; Yushun Dong; Jundong Li; Chen Chen 022 (AAAI, 2025)

Certified Causal Defense with Generalizable Robustness. - Yiran Qiao 001; Yu Yin 001; Chen Chen 022; Jing Ma 002 (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)

Out-of-Distribution Generalization on Graphs via Progressive Inference. - Yiming Xu 001; Bin Shi; Zhen Peng 005; Huixiang Liu; Bo Dong 001; Chen Chen 022 (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)

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