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DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation


Sep 21, 2022
Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen


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Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees


Sep 04, 2022
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu

* accepted by CIKM22 

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Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection


Aug 12, 2022
Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang

* 10 pages, 9 figures 

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HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation


May 24, 2022
Fan Wang, Weiming Liu, Chaochao Chen, Mengying Zhu, Xiaolin Zheng


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Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation


May 13, 2022
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen


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Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation


Mar 22, 2022
Yuyuan Li, Xiaolin Zheng, Chaochao Chen, Junlin Liu


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Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation


Feb 15, 2022
Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang


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Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation


Feb 10, 2022
Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen


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Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation


Feb 10, 2022
Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang

* Accepted by TheWebConf'22 (WWW'22) 

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback


Dec 28, 2021
Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou

* 41 pages, 10 figures 

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