no code implementations • 17 Jan 2025 • Zekun Zhou, Tan Liu, Bing Yu, Yanru Gong, Liu Shi, Qiegen Liu
Specifically, introducing a random mask strategy in the sinogram effectively expands the limited training sample space.
no code implementations • 30 Sep 2024 • Xueyun Fu, Xue Tian, Jing Lin, Qian Wang, Lingwen Gu, Ziyi Wang, Menghui Chi, Bing Yu, Zhuhui Feng, Wenyao Liu, Lina Zhang, Cui Li, Guiqiu Zhao
Purpose: To develop a new method for the treatment of fungal keratitis with improved bioavailability, dispersion, and permeability.
no code implementations • 1 Jul 2024 • Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns, Tina Yen, Bing Yu, Dong Hye Ye
In this paper, we apply the DPM to augment the deep ultraviolet fluorescence (DUV) image dataset with an aim to improve breast cancer classification for intraoperative margin assessment.
no code implementations • 2 Sep 2022 • LianWu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
In recent years, deep neural networks (DNNs) based approaches have achieved the start-of-the-art performance for music source separation (MSS).
no code implementations • 26 Jan 2022 • Xu Zhang, LianWu Chen, Xiguang Zheng, Xinlei Ren, Chen Zhang, Liang Guo, Bing Yu
Speech enhancement methods based on deep learning have surpassed traditional methods.
2 code implementations • INTERSPEECH 2021 2021 • Xinlei Ren, Xu Zhang, LianWu Chen, Xiguang Zheng, Chen Zhang, Liang Guo, Bing Yu
In this work, a new causal U-net based multiple-in-multiple-out structure is proposed for real-time multi-channel speech enhancement.
no code implementations • 26 Jan 2021 • Zhen Xu, Yucen Han, Jianyuan Yin, Bing Yu, Yasumasa Nishiura, Lei Zhang
We investigate the solution landscapes of the confined diblock copolymer and homopolymer in two-dimensional domain by using the extended Ohta--Kawasaki model.
Soft Condensed Matter Computational Physics
no code implementations • 19 Nov 2020 • Bing Yu, Hua Qi, Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jianjun Zhao
In this paper, we propose a style-guided data augmentation for repairing DNN in the operational environment.
no code implementations • 14 Jun 2020 • Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu
The scarcity of class-labeled data is a ubiquitous bottleneck in many machine learning problems.
1 code implementation • NeurIPS 2020 • Qing Guo, Felix Juefei-Xu, Xiaofei Xie, Lei Ma, Jian Wang, Bing Yu, Wei Feng, Yang Liu
Besides, the attack is further enhanced by adaptively tuning the translations of object and background.
no code implementations • 21 Nov 2019 • Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu
Regularization plays a crucial role in machine learning models, especially for deep neural networks.
4 code implementations • 6 Nov 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
Machine-learning (ML) hardware and software system demand is burgeoning.
no code implementations • 24 May 2019 • Bing Yu, Junzhao Zhang, Zhanxing Zhu
Convolutional neural networks (CNNs) have achieved remarkable performance in various fields, particularly in the domain of computer vision.
no code implementations • ICLR 2019 • Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma
Along this line, we theoretically study a general form of gradient based optimization dynamics with unbiased noise, which unifies SGD and standard Langevin dynamics.
no code implementations • 11 Apr 2019 • Bing Yu, Xiaojing Xing, Agus Sudjianto
In this approach, deep learning is used to learn some deterministic functions, which are used in solving the BSDE with terminal conditions.
no code implementations • 13 Mar 2019 • Bing Yu, Haoteng Yin, Zhanxing Zhu
In this U-shaped network, a paired sampling operation is proposed in spacetime domain accordingly: the pooling (ST-Pool) coarsens the input graph in spatial from its deterministic partition while abstracts multi-resolution temporal dependencies through dilated recurrent skip connections; based on previous settings in the downsampling, the unpooling (ST-Unpool) restores the original structure of spatio-temporal graphs and resumes regular intervals within graph sequences.
Ranked #1 on
Traffic Prediction
on PeMS-M
no code implementations • 3 Mar 2019 • Bing Yu, Mengzhang Li, Jiyong Zhang, Zhanxing Zhu
(2) We propose an original 3D graph convolution model to model the spatio-temporal data more accurately.
Ranked #2 on
Traffic Prediction
on PeMS-M
1 code implementation • CVPR 2019 • Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu
The proposed TNAR is composed by two complementary parts, the tangent adversarial regularization (TAR) and the normal adversarial regularization (NAR).
no code implementations • CVPR 2018 • Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun
Face rotation provides an effective and cheap way for data augmentation and representation learning of face recognition.
1 code implementation • ICLR 2019 • Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma
Along this line, we study a general form of gradient based optimization dynamics with unbiased noise, which unifies SGD and standard Langevin dynamics.
no code implementations • 21 Feb 2018 • Jie Cao, Yibo Hu, Bing Yu, Ran He, Zhenan Sun
Multi-view face synthesis from a single image is an ill-posed problem and often suffers from serious appearance distortion.
1 code implementation • 30 Sep 2017 • Weinan E, Bing Yu
We propose a deep learning based method, the Deep Ritz Method, for numerically solving variational problems, particularly the ones that arise from partial differential equations.
5 code implementations • 14 Sep 2017 • Bing Yu, Haoteng Yin, Zhanxing Zhu
Timely accurate traffic forecast is crucial for urban traffic control and guidance.
Ranked #2 on
Time Series Forecasting
on PeMSD7