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DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment

Nov 19, 2020
Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao

* 14 pages; 5 figures 

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Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data

Jun 14, 2020
Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu


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Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy

Nov 21, 2019
Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu


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MLPerf Inference Benchmark

Nov 06, 2019
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou


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On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks

May 24, 2019
Bing Yu, Junzhao Zhang, Zhanxing Zhu


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ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

Mar 13, 2019
Bing Yu, Haoteng Yin, Zhanxing Zhu


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3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting

Mar 03, 2019
Bing Yu, Mengzhang Li, Jiyong Zhang, Zhanxing Zhu


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Tangent-Normal Adversarial Regularization for Semi-supervised Learning

Aug 18, 2018
Bing Yu, Jingfeng Wu, Zhanxing Zhu


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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Jul 12, 2018
Bing Yu, Haoteng Yin, Zhanxing Zhu

* Proceedings of the 27th International Joint Conference on Artificial Intelligence 

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The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Minima and Regularization Effects

May 21, 2018
Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma


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Load Balanced GANs for Multi-view Face Image Synthesis

Mar 04, 2018
Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun


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The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems

Sep 30, 2017
Weinan E, Bing Yu


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