no code implementations • 21 Jun 2022 • Yan Feng, Tao Xiong, Ruofan Wu, LingJuan Lv, Leilei Shi
In addition, with fixed privacy and communication level, the performance of sqSGD significantly dominates that of various baseline algorithms.
no code implementations • 3 Jul 2021 • Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as computer vision, natural language processing, etc.
no code implementations • 1 Jan 2021 • Tao Xiong, Liang Zhu, Ruofan Wu, Yuan Qi
Specifically, we allow every node in the original graph to interact with a group of memory nodes.
no code implementations • 1 Jan 2021 • Yan Feng, Tao Xiong, Ruofan Wu, Yuan Qi
We also initialize a discussion about the role of quantization and perturbation in FL algorithm design with privacy and communication constraints.
1 code implementation • 18 Mar 2019 • Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue
The task of Language-Based Image Editing (LBIE) aims at generating a target image by editing the source image based on the given language description.
no code implementations • 3 Dec 2018 • Enguerrand Horel, Virgile Mison, Tao Xiong, Kay Giesecke, Lidia Mangu
Although neural networks can achieve very high predictive performance on various different tasks such as image recognition or natural language processing, they are often considered as opaque "black boxes".
no code implementations • 17 May 2017 • Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, S. Kevin Zhou, Zhoubing Xu, Jin-Hyeong Park, Mingqing Chen, Trac. D. Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
In this paper, we propose an automatic and fast algorithm to localize and label the vertebra centroids in 3D CT volumes.
no code implementations • 15 Jun 2014 • Tao Xiong, Yukun Bao, Zhongyi Hu
Highly accurate interval forecasting of electricity demand is fundamental to the success of reducing the risk when making power system planning and operational decisions by providing a range rather than point estimation.
no code implementations • 11 Jan 2014 • Tao Xiong, Yukun Bao, Zhongyi Hu
Following the "decomposition-and-ensemble" principle, the empirical mode decomposition (EMD)-based modeling framework has been widely used as a promising alternative for nonlinear and nonstationary time series modeling and prediction.
no code implementations • 11 Jan 2014 • Yukun Bao, Tao Xiong, Zhongyi Hu
As a well-known intelligent algorithm, the standard formulation of Support Vector Regression (SVR) could be taken for multi-step-ahead time series prediction, only relying either on iterated strategy or direct strategy.
no code implementations • 9 Jan 2014 • Tao Xiong, Yukun Bao, Zhongyi Hu
In terms of statistical criteria, we compare the out-of-sample forecasting using goodness-of-forecast measures and testing approaches.
no code implementations • 9 Jan 2014 • Yukun Bao, Zhongyi Hu, Tao Xiong
Addressing the issue of SVMs parameters optimization, this study proposes an efficient memetic algorithm based on Particle Swarm Optimization algorithm (PSO) and Pattern Search (PS).
no code implementations • 8 Jan 2014 • Tao Xiong, Yukun Bao, Zhongyi Hu
An accurate prediction of crude oil prices over long future horizons is challenging and of great interest to governments, enterprises, and investors.
no code implementations • 31 Dec 2013 • Yukun Bao, Tao Xiong, Zhongyi Hu
Multi-step-ahead time series prediction is one of the most challenging research topics in the field of time series modeling and prediction, and is continually under research.