Publications
2024
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NeurIPSFedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional NetworksAdvances in Neural Information Processing Systems, 2024
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NeurIPSWyze Rule: Federated Rule Dataset for Rule Recommendation BenchmarkingAdvances in Neural Information Processing Systems, 2024
2023
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FL-NeurIPSFedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning SystemFL-NeurIPS Workshop, 2023
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IoTDIFedRule: Federated Rule Recommendation System with Graph Neural NetworksIn Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation , 2023
2022
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HotMobileA neural-based bandit approach to mobile crowdsourcingIn Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications , 2022
2021
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AAAIInterpretable clustering on dynamic graphs with recurrent graph neural networksIn Proceedings of the AAAI Conference on Artificial Intelligence , 2021
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ICDMGcn-se: Attention as explainability for node classification in dynamic graphsIn 2021 IEEE International Conference on Data Mining (ICDM) , 2021
2018
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TONGLP: A novel framework for group-level location promotion in geo-social networksIEEE/ACM Transactions on Networking, 2018
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Modeling, analysis and validation of evolving networks with hybrid interactionsIEEE/ACM Transactions on Networking, 2018
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TNSECore percolation in interdependent networksIEEE Transactions on Network Science and Engineering, 2018