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Ruoming Jin

Kent State University

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning


Jul 26, 2022
Phung Lai, Han Hu, NhatHai Phan, Ruoming Jin, My T. Thai, An M. Chen


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Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning


Dec 31, 2021
Xiang Li, Dong Li, Ruoming Jin, Gagan Agrawal, Rajiv Ramnath


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FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps


Nov 21, 2021
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

* The first two authors contributed equally to this work 

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FLSys: Toward an Open Ecosystem for FederatedLearning Mobile Apps


Nov 17, 2021
Han Hu, Xiaopeng Jiang, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan

* The first two authors contributed equally to this work 

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On Sampling Top-K Recommendation Evaluation


Jun 20, 2021
Dong Li, Ruoming Jin, Jing Gao, Zhi Liu


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Towards a Better Understanding of Linear Models for Recommendation


Jun 16, 2021
Ruoming Jin, Dong Li, Jing Gao, Zhi Liu, Li Chen, Yang Zhou


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On Estimating Recommendation Evaluation Metrics under Sampling


Mar 03, 2021
Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu


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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness


Jun 02, 2019
NhatHai Phan, Minh Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai

* arXiv admin note: text overlap with arXiv:1903.09822 

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A Deep Embedding Model for Co-occurrence Learning


Jun 04, 2015
Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng


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