Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations. - Fukang Zhu; Dehui Wang (Comput. Stat. Data Anal., 2010)

Ruin problems for an autoregressive risk model with dependent rates of interest. - Jianhua Cheng; Dehui Wang (Appl. Math. Comput., 2011)

Generalized RCINAR(p) Process with Signed Thinning Operator. - Dehui Wang; Haixiang Zhang (Commun. Stat. Simul. Comput., 2011)

Limit theory for random coefficient first-order autoregressive process under martingale difference error sequence. - Zhi-Wen Zhao; Dehui Wang; Yong Zhang (J. Comput. Appl. Math., 2011)

The limit theorem for dependent random variables with applications to autoregression models. - Yong Zhang; Xiaoyun Yang; Zhishan Dong; Dehui Wang (J. Syst. Sci. Complex., 2011)

Statistical inference for generalized random coefficient autoregressive model. - Zhi-Wen Zhao; Dehui Wang (Math. Comput. Model., 2012)

Coefficient constancy test in generalized random coefficient autoregressive model. - Zhi-Wen Zhao; Dehui Wang; Cui-Xin Peng (Appl. Math. Comput., 2013)

Regression analysis of multivariate panel count data with an informative observation process. - Haixiang Zhang; Hui Zhao 011; Jianguo Sun; Dehui Wang; KyungMann Kim (J. Multivar. Anal., 2013)

Empirical likelihood inference for partial linear models with ARCH(1) errors. - Zhuoxi Yu; Shishun Zhao; Dehui Wang (Math. Comput. Model., 2013)

Estimation of parameters in the fractional compound Poisson process. - Ying Wang; Dehui Wang; Fukang Zhu (Commun. Nonlinear Sci. Numer. Simul., 2014)

Inference for Random Coefficient INAR(1) Process Based on Frequency Domain Analysis. - Haixiang Zhang; Dehui Wang (Commun. Stat. Simul. Comput., 2015)

An Inference Methodology for Selecting and Clustering Genes Based on Likelihood Ratio Test. - Rui-Yin Liu; Jian Tao; Dehui Wang (Int. J. Pattern Recognit. Artif. Intell., 2016)

Effective Control Charts for Monitoring the NGINAR(1) Process. - Cong Li; Dehui Wang; Fukang Zhu (Qual. Reliab. Eng. Int., 2016)

All-Fiber Configuration Laser Self-Mixing Doppler Velocimeter Based on Distributed Feedback Fiber Laser. - Shuang Wu; Dehui Wang; Rong Xiang; Junfeng Zhou; Yangcheng Ma; Huaqiao Gui; Jianguo Liu 009; Huanqin Wang; Liang Lu; Benli Yu (Sensors, 2016)

Research on two-dimensional traffic flow model based on psychological field theory. - Wenhao Li; Yu Nie; Zhongyao Yang; Shaochun Zheng; Dehui Wang (CoRR, 2017)

Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes. - Han Li; Kai Yang; Dehui Wang (Comput. Stat., 2017)

Detecting mean increases in zero truncated INAR(1) processes. - Cong Li; Dehui Wang; Fukang Zhu (Int. J. Prod. Res., 2019)

A study of RCINAR(1) process with generalized negative binomial marginals. - Jie Zhang 095; Dehui Wang; Kai Yang 013 (Commun. Stat. Simul. Comput., 2020)

Estimation and testing for the integer-valued threshold autoregressive models based on negative binomial thinning. - Xiaohong Wang; Dehui Wang; Kai Yang 013; Da Xu (Commun. Stat. Simul. Comput., 2021)

Monitoring the Zero-Inflated Time Series Model of Counts with Random Coefficient. - Cong Li; Shuai Cui; Dehui Wang (Entropy, 2021)

Statistical Inference for Periodic Self-Exciting Threshold Integer-Valued Autoregressive Processes. - Congmin Liu; Jianhua Cheng; Dehui Wang (Entropy, 2021)

First-Order Random Coefficient Multinomial Autoregressive Model for Finite-Range Time Series of Counts. - Jie Zhang 095; Dehui Wang; Kai Yang 013; Xiaogang Dong (Symmetry, 2021)

A new estimation for INAR(1) process with Poisson distribution. - Feilong Lu; Dehui Wang (Comput. Stat., 2022)

First-order random coefficient mixed-thinning integer-valued autoregressive model. - Leiya Chang; Xiufang Liu; Dehui Wang; Yingchuan Jing; Chenlong Li (J. Comput. Appl. Math., 2022)

Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables. - Wei Xiong; Dehui Wang; Dianliang Deng; Xinyang Wang; Wanying Zhang (J. Multivar. Anal., 2022)

A new binomial autoregressive process with explanatory variables. - Rui Zhang; Dehui Wang (J. Comput. Appl. Math., 2023)

Estimation and testing of multivariate random coefficient autoregressive model based on empirical likelihood. - Jin Chen; Dehui Wang; Cong Li; Jingwen Huang (Commun. Stat. Simul. Comput., 2023)

Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. - Jianhua Cheng; Xu Wang; Dehui Wang (J. Syst. Sci. Complex., 2023)

A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables. - Tongwei Zhang; Lianyan Fu; Dehui Wang; Zhuoxi Yu (Axioms, 2023)

Moderate Deviation Principle for Linear Processes Generated by Dependent Sequences under Sub-Linear Expectation. - Peiyu Sun; Dehui Wang; Xue Ding; Xili Tan; Yong Zhang (Axioms, 2023)

A spatiotemporal chaos based deep learning model watermarking scheme. - Dehui Wang; Shuang Zhou 014; Yingqian Zhang 002 (Appl. Soft Comput., 2024)

A Two-Step Estimation Method for a Time-Varying INAR Model. - Yuxin Pang; Dehui Wang; Mark Goh (Axioms, 2024)

A Time-Varying Mixture Integer-Valued Threshold Autoregressive Process Driven by Explanatory Variables. - Danshu Sheng; Dehui Wang; Jie Zhang 095; Jianxin Wang 001; Yiran Zhai (Entropy, 2024)

A study for the NMBAR(1) processes. - Han Yan; Dehui Wang; Cong Li (Commun. Stat. Simul. Comput., 2024)

Bivariate Random Coefficient Integer-Valued Autoregressive Model Based on a ρ-Thinning Operator. - Chang Liu; Dehui Wang (Axioms, 2024)

BRC-GARCH-X model: the empirical evidence in stock returns. - Zheqi Wang; Dehui Wang (Commun. Stat. Simul. Comput., 2024)

A novel varying-coefficient autoregressive model with explanatory variable. - Yuxin Pang; Dehui Wang (Commun. Nonlinear Sci. Numer. Simul., 2025)

A DLM watermarking method based on a spatiotemporal chaos with DNA computing. - Dehui Wang; Yingqian Zhang 002; Qiang Wei; Yumei Xue; Shuang Zhou 014 (Neurocomputing, 2025)

First-order random coefficient binomial AR process with dependent counting series. - Tengyue Ma; Dehui Wang (Commun. Stat. Simul. Comput., 2025)

CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution. - Kai Liu; Dehui Wang; Zhiteng Li; Zheng Chen 014; Yong Guo; Wenbo Li 001; Linghe Kong; Yulun Zhang 001 (CoRR, 2025)

An algorithm for computing generalized D -optimal allocation with cost consideration in regression models. - Lianyan Fu; Faming Ma; Dehui Wang; Jiujun Zhang (Commun. Stat. Simul. Comput., 2025)

EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligence. - Xinjie Wang; Liu Liu; Yu Cao; Ruiqi Wu; Wenkang Qin; Dehui Wang; Wei Sui; Zhizhong Su (CoRR, 2025)

Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop. - Tianxing Chen; Kaixuan Wang; Zhaohui Yang; Yuhao Zhang; Zanxin Chen; Baijun Chen; Wanxi Dong; Ziyuan Liu; Dong Chen 003; Tianshuo Yang; Haibao Yu; Xiaokang Yang 001; et al. (CoRR, 2025)