Dehui Wang - RankMe

52 papers Journal 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An extension of ℤ-valued time series with Poisson difference innovation via logistic regression. Commun. Stat. Simul. Comput. Ye Liu, Yinong Wu, Dehui Wang
2026	J	`jnl`	Analysis of nonuniform DAR(1) processes with mismatched explanatory variables. Stat. Comput. Yansong Bai, Yinghui Zhao, Chang Liu, Danshu Sheng, Dehui Wang
2026	J	`jnl`	Modeling and Monitoring of INARCH( Qual. Reliab. Eng. Int. Xiaoxue Yang, Cong Li, Dehui Wang
2026	J	`jnl`	Multi-source information fusion through tucker tensor decomposition-based transfer learning for handwriting-Based Alzheimer's disease detection. Inf. Fusion Yao Yao, Zhuoxi Yu, Dehui Wang, Chengzhe Wang, Congting Sun
2025	J	`jnl`	A DLM watermarking method based on a spatiotemporal chaos with DNA computing. Neurocomputing Dehui Wang, Yingqian Zhang, Qiang Wei, Yumei Xue, Shuang Zhou
2025	J	`jnl`	A novel varying-coefficient autoregressive model with explanatory variable. Commun. Nonlinear Sci. Numer. Simul. Yuxin Pang, Dehui Wang
2025	J	`jnl`	An algorithm for computing generalized Commun. Stat. Simul. Comput. Lianyan Fu, Faming Ma, Dehui Wang, Jiujun Zhang
2025	J	`jnl`	Bivariate first-order random coefficient integer-valued autoregressive processes based on modified negative binomial operator. Commun. Stat. Simul. Comput. Yixuan Fan, Dehui Wang
2025	J	`jnl`	CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution. CoRR Kai Liu, Dehui Wang, Zhiteng Li, Zheng Chen, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang
2025	J	`jnl`	EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence. CoRR Xinjie Wang, Liu Liu, Yu Cao, Ruiqi Wu, Wenkang Qin, Dehui Wang, Wei Sui, Zhizhong Su
2025	J	`jnl`	Expertise need not monopolize: Action-Specialized Mixture of Experts for Vision-Language-Action Learning. CoRR 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
2025	J	`jnl`	Filter-Based Co-Estimation of State-of-Charge and State-of-Health for Lithium-Ion Batteries. IEEE Trans. Ind. Electron. Xiaoxuan Wu, Jian Chen, Dehui Wang, Ke Xu, Mingding Shao, Yong Wang, Yu Long
2025	J	`jnl`	First-order random coefficient binomial AR process with dependent counting series. Commun. Stat. Simul. Comput. Tengyue Ma, Dehui Wang
2025	J	`jnl`	Inference and Monitoring for the Poisson-Geometric INAR(1) Model. Qual. Reliab. Eng. Int. Shuhui Wang, Danshu Sheng, Dehui Wang, Zhiwen Zhao
2025	J	`jnl`	SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning. CoRR 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
2025	J	`jnl`	Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning. CoRR 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
2024	J	`jnl`	A Time-Varying Mixture Integer-Valued Threshold Autoregressive Process Driven by Explanatory Variables. Entropy Danshu Sheng, Dehui Wang, Jie Zhang, Jianxin Wang, Yiran Zhai
2024	J	`jnl`	A Two-Step Estimation Method for a Time-Varying INAR Model. Axioms Yuxin Pang, Dehui Wang, Mark Goh
2024	J	`jnl`	A spatiotemporal chaos based deep learning model watermarking scheme. Appl. Soft Comput. Dehui Wang, Shuang Zhou, Yingqian Zhang
2024	J	`jnl`	A study for the NMBAR(1) processes. Commun. Stat. Simul. Comput. Han Yan, Dehui Wang, Cong Li
2024	J	`jnl`	BRC-GARCH-X model: the empirical evidence in stock returns. Commun. Stat. Simul. Comput. Zheqi Wang, Dehui Wang
2024	J	`jnl`	Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator. Axioms Chang Liu, Dehui Wang
2023	J	`jnl`	A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables. Axioms Tongwei Zhang, Lianyan Fu, Dehui Wang, Zhuoxi Yu
2023	J	`jnl`	A new binomial autoregressive process with explanatory variables. J. Comput. Appl. Math. Rui Zhang, Dehui Wang
2023	J	`jnl`	Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. J. Syst. Sci. Complex. Jianhua Cheng, Xu Wang, Dehui Wang
2023	J	`jnl`	Estimation and testing of multivariate random coefficient autoregressive model based on empirical likelihood. Commun. Stat. Simul. Comput. Jin Chen, Dehui Wang, Cong Li, Jingwen Huang
2023	J	`jnl`	Moderate Deviation Principle for Linear Processes Generated by Dependent Sequences under Sub-Linear Expectation. Axioms Peiyu Sun, Dehui Wang, Xue Ding, Xili Tan, Yong Zhang
2022	J	`jnl`	A new estimation for INAR(1) process with Poisson distribution. Comput. Stat. Feilong Lu, Dehui Wang
2022	J	`jnl`	First-order random coefficient mixed-thinning integer-valued autoregressive model. J. Comput. Appl. Math. Leiya Chang, Xiufang Liu, Dehui Wang, Yingchuan Jing, Chenlong Li
2022	J	`jnl`	Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables. J. Multivar. Anal. Wei Xiong, Dehui Wang, Dianliang Deng, Xinyang Wang, Wanying Zhang
2021	J	`jnl`	Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning. Commun. Stat. Simul. Comput. Xiaohong Wang, Dehui Wang, Kai Yang, Da Xu
2021	J	`jnl`	First-Order Random Coefficient Multinomial Autoregressive Model for Finite-Range Time Series of Counts. Symmetry Jie Zhang, Dehui Wang, Kai Yang, Xiaogang Dong
2021	J	`jnl`	Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient. Entropy Cong Li, Shuai Cui, Dehui Wang
2021	J	`jnl`	Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes. Entropy Congmin Liu, Jianhua Cheng, Dehui Wang
2020	J	`jnl`	A study of RCINAR(1) process with generalized negative binomial marginals. Commun. Stat. Simul. Comput. Jie Zhang, Dehui Wang, Kai Yang
2019	J	`jnl`	Detecting mean increases in zero truncated INAR(1) processes. Int. J. Prod. Res. Cong Li, Dehui Wang, Fukang Zhu
2017	J	`jnl`	Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes. Comput. Stat. Han Li, Kai Yang, Dehui Wang
2017	J	`jnl`	Research on two-dimensional traffic flow model based on psychological field theory. CoRR Wenhao Li, Yu Nie, Zhongyao Yang, Shaochun Zheng, Dehui Wang
2016	J	`jnl`	All-Fiber Configuration Laser Self-Mixing Doppler Velocimeter Based on Distributed Feedback Fiber Laser. Sensors Shuang Wu, Dehui Wang, Rong Xiang, Junfeng Zhou, Yangcheng Ma, Huaqiao Gui, Jianguo Liu, Huanqin Wang, Liang Lu, Benli Yu
2016	J	`jnl`	An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test. Int. J. Pattern Recognit. Artif. Intell. Rui-Yin Liu, Jian Tao, Dehui Wang
2016	J	`jnl`	Effective Control Charts for Monitoring the NGINAR(1) Process. Qual. Reliab. Eng. Int. Cong Li, Dehui Wang, Fukang Zhu
2015	J	`jnl`	Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis. Commun. Stat. Simul. Comput. Haixiang Zhang, Dehui Wang
2014	J	`jnl`	Estimation of parameters in the fractional compound Poisson process. Commun. Nonlinear Sci. Numer. Simul. Ying Wang, Dehui Wang, Fukang Zhu
2013	J	`jnl`	Coefficient constancy test in generalized random coefficient autoregressive model. Appl. Math. Comput. Zhi-Wen Zhao, Dehui Wang, Cui-Xin Peng
2013	J	`jnl`	Empirical likelihood inference for partial linear models with ARCH(1) errors. Math. Comput. Model. Zhuoxi Yu, Shishun Zhao, Dehui Wang
2013	J	`jnl`	Regression analysis of multivariate panel count data with an informative observation process. J. Multivar. Anal. Haixiang Zhang, Hui Zhao, Jianguo Sun, Dehui Wang, KyungMann Kim
2012	J	`jnl`	Statistical inference for generalized random coefficient autoregressive model. Math. Comput. Model. Zhi-Wen Zhao, Dehui Wang
2011	J	`jnl`	Generalized RCINAR( Commun. Stat. Simul. Comput. Dehui Wang, Haixiang Zhang
2011	J	`jnl`	Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence. J. Comput. Appl. Math. Zhi-Wen Zhao, Dehui Wang, Yong Zhang
2011	J	`jnl`	Ruin problems for an autoregressive risk model with dependent rates of interest. Appl. Math. Comput. Jianhua Cheng, Dehui Wang
2011	J	`jnl`	The limit theorem for dependent random variables with applications to autoregression models. J. Syst. Sci. Complex. Yong Zhang, Xiaoyun Yang, Zhishan Dong, Dehui Wang
2010	J	`jnl`	Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations. Comput. Stat. Data Anal. Fukang Zhu, Dehui Wang