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ORCIDDehui Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j43]Yao Yao
, Zhuoxi Yu, Dehui Wang, Chengzhe Wang, Congting Sun:
Multi-source information fusion through tucker tensor decomposition-based transfer learning for handwriting-Based Alzheimer's disease detection. Inf. Fusion 130: 104112 (2026)- [j42]Yansong Bai, Yinghui Zhao, Chang Liu, Danshu Sheng, Dehui Wang:
Analysis of nonuniform DAR(1) processes with mismatched explanatory variables. Stat. Comput. 36(2): 65 (2026) - 2025
- [j41]Yuxin Pang, Dehui Wang:
A novel varying-coefficient autoregressive model with explanatory variable. Commun. Nonlinear Sci. Numer. Simul. 150: 108962 (2025) - [j40]Tengyue Ma, Dehui Wang:
First-order random coefficient binomial AR process with dependent counting series. Commun. Stat. Simul. Comput. 54(1): 71-90 (2025) - [j39]Lianyan Fu, Faming Ma, Dehui Wang, Jiujun Zhang:
An algorithm for computing generalized D -optimal allocation with cost consideration in regression models. Commun. Stat. Simul. Comput. 54(2): 319-330 (2025) - [j38]Yixuan Fan, Dehui Wang:
Bivariate first-order random coefficient integer-valued autoregressive processes based on modified negative binomial operator. Commun. Stat. Simul. Comput. 54(9): 3702-3728 (2025) - [j37]Dehui Wang, Yingqian Zhang, Qiang Wei, Yumei Xue, Shuang Zhou:
A DLM watermarking method based on a spatiotemporal chaos with DNA computing. Neurocomputing 652: 130981 (2025) - [j36]Xiaoxuan Wu, Jian Chen, Dehui Wang, Ke Xu, Mingding Shao, Yong Wang, Yu Long:
Filter-Based Co-Estimation of State-of-Charge and State-of-Health for Lithium-Ion Batteries. IEEE Trans. Ind. Electron. 72(12): 12942-12951 (2025) - [i6]Kai Liu, Dehui Wang, Zhiteng Li, Zheng Chen, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang:
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution. CoRR abs/2502.15478 (2025) - [i5]Xinjie Wang, Liu Liu, Yu Cao, Ruiqi Wu, Wenkang Qin, Dehui Wang, Wei Sui, Zhizhong Su:
EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence. CoRR abs/2506.10600 (2025) - [i4]Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding:
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning. CoRR abs/2509.09674 (2025) - [i3]Ganlin Yang, Tianyi Zhang, Haoran Hao, Weiyun Wang, Yibin Liu, Dehui Wang, Guanzhou Chen, Zijian Cai, Junting Chen, Weijie Su, Wengang Zhou, Yu Qiao, Jifeng Dai, Jiangmiao Pang, Gen Luo, Wenhai Wang, Yao Mu, Zhi Hou:
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning. CoRR abs/2510.11027 (2025) - [i2]Weijie Shen, Yitian Liu, Yuhao Wu, Zhixuan Liang, Sijia Gu, Dehui Wang, Tian Nian, Lei Xu, Yusen Qin, Jiangmiao Pang, Xinping Guan, Xiaokang Yang, Yao Mu:
Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning. CoRR abs/2510.14300 (2025) - 2024
- [j35]Dehui Wang, Shuang Zhou, Yingqian Zhang:
A spatiotemporal chaos based deep learning model watermarking scheme. Appl. Soft Comput. 164: 112004 (2024) - [j34]Yuxin Pang, Dehui Wang, Mark Goh:
A Two-Step Estimation Method for a Time-Varying INAR Model. Axioms 13(1): 19 (2024) - [j33]Chang Liu, Dehui Wang:
Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator. Axioms 13(6): 367 (2024) - [j32]Han Yan, Dehui Wang, Cong Li:
A study for the NMBAR(1) processes. Commun. Stat. Simul. Comput. 53(3): 1308-1329 (2024) - [j31]Zheqi Wang, Dehui Wang:
BRC-GARCH-X model: the empirical evidence in stock returns. Commun. Stat. Simul. Comput. 53(7): 3327-3351 (2024) - [j30]Danshu Sheng, Dehui Wang, Jie Zhang, Jianxin Wang, Yiran Zhai:
A Time-Varying Mixture Integer-Valued Threshold Autoregressive Process Driven by Explanatory Variables. Entropy 26(2): 140 (2024) - 2023
- [j29]Tongwei Zhang, Lianyan Fu, Dehui Wang, Zhuoxi Yu:
A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables. Axioms 12(5): 476 (2023) - [j28]Peiyu Sun, Dehui Wang, Xue Ding, Xili Tan, Yong Zhang:
Moderate Deviation Principle for Linear Processes Generated by Dependent Sequences under Sub-Linear Expectation. Axioms 12(8): 781 (2023) - [j27]Jin Chen, Dehui Wang, Cong Li, Jingwen Huang:
Estimation and testing of multivariate random coefficient autoregressive model based on empirical likelihood. Commun. Stat. Simul. Comput. 52(2): 291-308 (2023) - [j26]Rui Zhang, Dehui Wang:
A new binomial autoregressive process with explanatory variables. J. Comput. Appl. Math. 420: 114814 (2023) - [j25]Jianhua Cheng, Xu Wang, Dehui Wang:
Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. J. Syst. Sci. Complex. 36(2): 843-865 (2023) - 2022
- [j24]Feilong Lu, Dehui Wang:
A new estimation for INAR(1) process with Poisson distribution. Comput. Stat. 37(3): 1185-1201 (2022) - [j23]Leiya Chang, Xiufang Liu, Dehui Wang, Yingchuan Jing, Chenlong Li:
First-order random coefficient mixed-thinning integer-valued autoregressive model. J. Comput. Appl. Math. 410: 114222 (2022) - [j22]Wei Xiong, Dehui Wang, Dianliang Deng, Xinyang Wang, Wanying Zhang:
Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables. J. Multivar. Anal. 187: 104867 (2022) - 2021
- [j21]Xiaohong Wang, Dehui Wang, Kai Yang, Da Xu:
Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning. Commun. Stat. Simul. Comput. 50(6): 1622-1644 (2021) - [j20]Cong Li, Shuai Cui, Dehui Wang:
Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient. Entropy 23(3): 372 (2021) - [j19]Congmin Liu, Jianhua Cheng, Dehui Wang:
Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes. Entropy 23(6): 765 (2021) - [j18]Jie Zhang, Dehui Wang, Kai Yang, Xiaogang Dong:
First-Order Random Coefficient Multinomial Autoregressive Model for Finite-Range Time Series of Counts. Symmetry 13(12): 2271 (2021) - 2020
- [j17]Jie Zhang, Dehui Wang, Kai Yang:
A study of RCINAR(1) process with generalized negative binomial marginals. Commun. Stat. Simul. Comput. 49(6): 1487-1510 (2020)
2010 – 2019
- 2019
- [j16]Cong Li, Dehui Wang, Fukang Zhu:
Detecting mean increases in zero truncated INAR(1) processes. Int. J. Prod. Res. 57(17): 5589-5603 (2019) - 2017
- [j15]Han Li, Kai Yang, Dehui Wang:
Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes. Comput. Stat. 32(4): 1597-1620 (2017) - [i1]Wenhao Li, Yu Nie, Zhongyao Yang, Shaochun Zheng, Dehui Wang:
Research on two-dimensional traffic flow model based on psychological field theory. CoRR abs/1711.05254 (2017) - 2016
- [j14]Rui-Yin Liu, Jian Tao, Dehui Wang:
An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test. Int. J. Pattern Recognit. Artif. Intell. 30(8): 1650019:1-1650019:15 (2016) - [j13]Cong Li, Dehui Wang, Fukang Zhu:
Effective Control Charts for Monitoring the NGINAR(1) Process. Qual. Reliab. Eng. Int. 32(3): 877-888 (2016) - [j12]Shuang Wu, Dehui Wang, Rong Xiang, Junfeng Zhou, Yangcheng Ma, Huaqiao Gui, Jianguo Liu, Huanqin Wang, Liang Lu, Benli Yu:
All-Fiber Configuration Laser Self-Mixing Doppler Velocimeter Based on Distributed Feedback Fiber Laser. Sensors 16(8): 1179 (2016) - 2015
- [j11]Haixiang Zhang, Dehui Wang:
Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis. Commun. Stat. Simul. Comput. 44(4): 1078-1100 (2015) - 2014
- [j10]Ying Wang, Dehui Wang, Fukang Zhu:
Estimation of parameters in the fractional compound Poisson process. Commun. Nonlinear Sci. Numer. Simul. 19(10): 3425-3430 (2014) - 2013
- [j9]Zhi-Wen Zhao, Dehui Wang, Cui-Xin Peng:
Coefficient constancy test in generalized random coefficient autoregressive model. Appl. Math. Comput. 219(20): 10283-10292 (2013) - [j8]Haixiang Zhang, Hui Zhao, Jianguo Sun, Dehui Wang, KyungMann Kim:
Regression analysis of multivariate panel count data with an informative observation process. J. Multivar. Anal. 119: 71-80 (2013) - [j7]Zhuoxi Yu, Shishun Zhao, Dehui Wang:
Empirical likelihood inference for partial linear models with ARCH(1) errors. Math. Comput. Model. 57(9-10): 2449-2458 (2013) - 2012
- [j6]Zhi-Wen Zhao, Dehui Wang:
Statistical inference for generalized random coefficient autoregressive model. Math. Comput. Model. 56(7-8): 152-166 (2012) - 2011
- [j5]Jianhua Cheng, Dehui Wang:
Ruin problems for an autoregressive risk model with dependent rates of interest. Appl. Math. Comput. 218(7): 3822-3833 (2011) - [j4]Dehui Wang, Haixiang Zhang:
Generalized RCINAR(p) Process with Signed Thinning Operator. Commun. Stat. Simul. Comput. 40(1): 13-44 (2011) - [j3]Zhi-Wen Zhao, Dehui Wang, Yong Zhang:
Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence. J. Comput. Appl. Math. 235(8): 2515-2522 (2011) - [j2]Yong Zhang, Xiaoyun Yang, Zhishan Dong, Dehui Wang:
The limit theorem for dependent random variables with applications to autoregression models. J. Syst. Sci. Complex. 24(3): 565-579 (2011) - 2010
- [j1]Fukang Zhu, Dehui Wang:
Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations. Comput. Stat. Data Anal. 54(2): 496-508 (2010)
Coauthor Index
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