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Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models


Sep 30, 2022
Ye Tian, Haolei Weng, Yang Feng

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* 149 pages, 7 figures, 2 tables 

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Deep Maxout Network Gaussian Process


Aug 08, 2022
Libin Liang, Ye Tian, Ge Cheng

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* 15 pages, 3 figures 

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Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices


Jul 18, 2022
Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin

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Semi-supervised Ranking for Object Image Blur Assessment


Jul 13, 2022
Qiang Li, Zhaoliang Yao, Jingjing Wang, Ye Tian, Pengju Yang, Di Xie, Shiliang Pu

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* The first two authors contributed equally to this work. Dataset is available at https://github.com/yzliangHIK2022/SSRanking-for-Object-BA. Accepted to ICIP 2022 

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Detecting Schizophrenia with 3D Structural Brain MRI Using Deep Learning


Jul 07, 2022
Junhao Zhang, Vishwanatha M. Rao, Ye Tian, Yanting Yang, Nicolas Acosta, Zihan Wan, Pin-Yu Lee, Chloe Zhang, Lawrence S. Kegeles, Scott A. Small, Jia Guo

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* 13 pages, 6 figures 

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Reciprocal phase transition-enabled electro-optic modulation


Mar 28, 2022
Fang Zou, Lei Zou, Ye Tian, Yiming Zhang, Erwin Bente, Weigang Hou, Yu Liu, Siming Chen, Victoria Cao, Lei Guo, Songsui Li, Lianshan Yan, Wei Pan, Dusan Milosevic, Zizheng Cao, A. M. J. Koonen, Huiyun Liu, Xihua Zou

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* 16 pages, 8 figures 

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Improving Across-Dataset Brain Tissue Segmentation Using Transformer


Jan 21, 2022
Vishwanatha M. Rao, Zihan Wan, David J. Ma, Pin-Yu Lee, Ye Tian, Andrew F. Laine, Jia Guo

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Neyman-Pearson Multi-class Classification via Cost-sensitive Learning


Nov 08, 2021
Ye Tian, Yang Feng

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* 44 pages, 6 figures 

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Acceleration in Distributed Optimization Under Similarity


Oct 24, 2021
Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander Gasnikov

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