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1,500 results on '"Liu, Changjun"'

4. Inversion Image Pairs for Anti-forensics in the Frequency Domain

Author

Pu, Houchen, Yi, Xiaowei, Yang, Bowen, Zhao, Xianfeng, Liu, Changjun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ma, Bin, editor, Li, Jian, editor, and Li, Qi, editor

Published
2024
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21. Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems

Author

Liu, Haitao, Liu, Changjun, Jiang, Xiaomo, Chen, Xudong, Yang, Shuhua, and Wang, Xiaofang

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

The demand of probabilistic time series forecasting has been recently raised in various dynamic system scenarios, for example, system identification and prognostic and health management of machines. To this end, we combine the advances in both deep generative models and state space model (SSM) to come up with a novel, data-driven deep probabilistic sequence model. Specifically, we follow the popular encoder-decoder generative structure to build the recurrent neural networks (RNN) assisted variational sequence model on an augmented recurrent input space, which could induce rich stochastic sequence dependency. Besides, in order to alleviate the inconsistency issue of the posterior between training and predicting as well as improving the mining of dynamic patterns, we (i) propose using a lagged hybrid output as input for the posterior at next time step, which brings training and predicting into alignment; and (ii) further devise a generalized auto-regressive strategy that encodes all the historical dependencies for the posterior. Thereafter, we first investigate the methodological characteristics of the proposed deep probabilistic sequence model on toy cases, and then comprehensively demonstrate the superiority of our model against existing deep probabilistic SSM models through extensive numerical experiments on eight system identification benchmarks from various dynamic systems. Finally, we apply our sequence model to a real-world centrifugal compressor forecasting problem, and again verify its outstanding performance by quantifying the time series predictive distribution., Comment: 30 pages, 8 figures, 4 tables, preprint under review

Published
2021
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32. A Spatiotemporally-Mixed-Runoff-Model-Based Artificial Intelligence Parameter Regionalization Application in Henan Province of China

Author

Ma, Qiang, Fan, Suqi, Liu, Changjun, Guo, Liang, Ding, Liuqian, Sun, Dongya, Kostianoy, Andrey, Series Editor, Carpenter, Angela, Editorial Board Member, Younos, Tamim, Editorial Board Member, Scozzari, Andrea, Editorial Board Member, Vignudelli, Stefano, Editorial Board Member, Kouraev, Alexei, Editorial Board Member, Gourbesville, Philippe, editor, and Caignaert, Guy, editor

Published
2022
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33. Determination and Application of Dynamic Rainfall Threshold for Flash Flood Warning

Author

Zhai, Xiaoyan, Liu, Changjun, Ma, Qiang, Liu, Ronghua, Zhang, Xiaolei, Liu, Qi, Kostianoy, Andrey, Series Editor, Carpenter, Angela, Editorial Board Member, Younos, Tamim, Editorial Board Member, Scozzari, Andrea, Editorial Board Member, Vignudelli, Stefano, Editorial Board Member, Kouraev, Alexei, Editorial Board Member, Gourbesville, Philippe, editor, and Caignaert, Guy, editor

Published
2022
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