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DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics


Nov 20, 2022
Renjie Pi, Weizhong Zhang, Yueqi Xie, Jiahui Gao, Xiaoyu Wang, Sunghun Kim, Qifeng Chen

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Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization


Nov 20, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Equivariant Contrastive Learning for Sequential Recommendation


Nov 18, 2022
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim

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* 12 pages, 6 figures 

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Optimizing Server-side Aggregation For Robust Federated Learning via Subspace Training


Nov 10, 2022
Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim

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Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting


Aug 05, 2022
Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim

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* 14 pages, 12 figures 

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Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network


Jun 26, 2022
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim

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Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation


Jun 26, 2022
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim

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* Under Review 

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AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation


May 19, 2022
Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim

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Decoupled Side Information Fusion for Sequential Recommendation


Apr 23, 2022
Yueqi Xie, Peilin Zhou, Sunghun Kim

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* Accepted to SIGIR 2022 

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