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Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX


May 04, 2021
Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan


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The Age of Correlated Features in Supervised Learning based Forecasting


Feb 27, 2021
MD Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun


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Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning


Feb 01, 2021
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

* Accepted in AAAI 2021 

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ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition


Nov 30, 2020
Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen


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NASGEM: Neural Architecture Search via Graph Embedding Method


Jul 08, 2020
Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen


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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification


Apr 20, 2020
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

* In proceeding of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). To be presented at EDLCV 2020 workshop co-located with CVPR 2020 

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TiFL: A Tier-based Federated Learning System


Jan 25, 2020
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng


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AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture


Nov 21, 2019
Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen


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EPNAS: Efficient Progressive Neural Architecture Search


Jul 07, 2019
Yanqi Zhou, Peng Wang, Sercan Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos


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SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures


Jun 25, 2019
Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Li, Yiran Chen


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SwiftNet: Using Graph Propagation as Meta-knowledge to Search HighlyvRepresentative Neural Architectures


Jun 19, 2019
Hsin-Pai, Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai, Li, Yiran Chen


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AutoGrow: Automatic Layer Growing in Deep Convolutional Networks


Jun 07, 2019
Wei Wen, Feng Yan, Hai Li


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LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning


Nov 27, 2018
Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen


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Differentiable Fine-grained Quantization for Deep Neural Network Compression


Oct 20, 2018
Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen


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SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning


Sep 01, 2018
Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Chunpeng Wu, Yiran Chen, Hai Li


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TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning


Dec 29, 2017
Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

* NIPS 2017 Oral 

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Sparse matrix-variate Gaussian process blockmodels for network modeling


Feb 14, 2012
Feng Yan, Zenglin Xu, Yuan, Qi


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Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis


Jan 14, 2012
Zenglin Xu, Feng Yan, Yuan, Qi


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EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning


Feb 08, 2011
Yuan Qi, Feng Yan


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Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties


Feb 04, 2011
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan, Yuan Qi

* 25 pages, 2 figures 

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