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A FAIR and AI-ready Higgs Boson Decay Dataset


Aug 04, 2021
Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack

* 14 pages, 3 figures. Learn about the FAIR4HEP project at https://fair4hep.github.io 

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NTIRE 2021 Challenge on Perceptual Image Quality Assessment


May 11, 2021
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sungjun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa


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Region-Adaptive Deformable Network for Image Quality Assessment


Apr 23, 2021
Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang

* CVPR NTIRE Workshop 2021. The first two authors contribute equally to this work. Code is available at https://github.com/IIGROUP/RADN 

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Solving and Learning Nonlinear PDEs with Gaussian Processes


Mar 24, 2021
Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart

* 36 pages 

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Fast Statistical Leverage Score Approximation in Kernel Ridge Regression


Mar 09, 2021
Yifan Chen, Yun Yang

* To appear in the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021) 

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Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression


Mar 06, 2021
Yifan Chen, Yun Yang

* To appear in the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021) 

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Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation


May 22, 2020
Yifan Chen, Houman Owhadi, Andrew M. Stuart


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Deep Attention Aware Feature Learning for Person Re-Identification


Mar 01, 2020
Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang


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One-to-one Mapping for Unpaired Image-to-image Translation


Oct 12, 2019
Zengming Shen, S. Kevin Zhou, Yifan Chen, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang

* 10 pages, 7 figures 

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Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation


Sep 16, 2019
Zengming Shen, Yifan Chen, S. Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang

* 10 pages, 9 figures 

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Regularized Ensembles and Transferability in Adversarial Learning


Dec 05, 2018
Yifan Chen, Yevgeniy Vorobeychik

* 9 pages 

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Prostate Segmentation using 2D Bridged U-net


Oct 16, 2018
Wanli Chen, Yue Zhang, Junjun He, Yu Qiao, Yifan Chen, Hongjian Shi, Xiaoying Tang


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A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net


Jul 21, 2018
Yue Zhang, Wanli Chen, Yifan Chen, Xiaoying Tang


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Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers


Jun 29, 2018
Yifan Chen, Yuejiao Sun, Wotao Yin


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Content-Based Top-N Recommendation using Heterogeneous Relations


Jun 27, 2016
Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang

* 13 pages, 8 figures, ADC 2016 

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