Bifurcation Analysis of a discrete-Time Kaldor Model of Business Cycle. - Xing He 001; Chuandong Li 001; Yonglu Shu (Int. J. Bifurc. Chaos, 2012)

Bogdanov-Takens bifurcation in a single inertial neuron model with delay. - Xing He 001; Chuandong Li 001; Yonglu Shu (Neurocomputing, 2012)

Codimension two bifurcation in a simple delayed neuron model. - Xing He 001; Chuandong Li 001; Tingwen Huang; Mei Peng (Neural Comput. Appl., 2013)

Fold-flip bifurcation analysis on a class of discrete-time neural network. - Xing He 001; Chuandong Li 001; Yonglu Shu (Neural Comput. Appl., 2013)

Bogdanov-Takens Singularity in Tri-Neuron Network With Time Delay. - Xing He 001; Chuandong Li 001; Tingwen Huang; Chaojie Li (IEEE Trans. Neural Networks Learn. Syst., 2013)

STDP learning rule based on memristor with STDP property. - Ling Chen 010; Chuandong Li 001; Tingwen Huang; Xing He 001; Hai Li 001; Yiran Chen 001 (IJCNN, 2014)

Special Issue on ICONIP 2012. - Chuandong Li 001; Tingwen Huang; Zhigang Zeng; He Huang 001; Xing He 001 (Cogn. Comput., 2014)

Finite-time lag synchronization of delayed neural networks. - Junjian Huang; Chuandong Li 001; Tingwen Huang; Xing He 001 (Neurocomputing, 2014)

Neural network for solving convex quadratic bilevel programming problems. - Xing He 001; Chuandong Li 001; Tingwen Huang; Chaojie Li (Neural Networks, 2014)

Neural network for solving Nash equilibrium problem in application of multiuser power control. - Xing He 001; Junzhi Yu; Tingwen Huang; Chuandong Li 001; Chaojie Li (Neural Networks, 2014)

A Recurrent Neural Network for Solving Bilevel Linear Programming Problem. - Xing He 001; Chuandong Li 001; Tingwen Huang; Chaojie Li; Junjian Huang (IEEE Trans. Neural Networks Learn. Syst., 2014)

Stability analysis of complex-valued impulsive systems with time delay. - Xu Zeng; Chuandong Li 001; Tingwen Huang; Xing He 001 (Appl. Math. Comput., 2015)

An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization. - Hangjun Che; Chuandong Li 001; Xing He 001; Tingwen Huang (Neurocomputing, 2015)

A recurrent neural network for optimal real-time price in smart grid. - Xing He 001; Tingwen Huang; Chuandong Li 001; Hangjun Che; Zhaoyang Dong (Neurocomputing, 2015)

Robust coding of encrypted images via structural matrix. - Yushu Zhang 001; Kwok-Wo Wong; Leo Yu Zhang; Wenying Wen; Jiantao Zhou 001; Xing He 001 (Signal Process. Image Commun., 2015)

Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses. - Wei Zhang 102; Chuandong Li 001; Tingwen Huang; Xing He 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Review of Compressive Sensing in Information Security Field. - Yushu Zhang 001; Leo Yu Zhang; Jiantao Zhou 001; Licheng Liu; Fei Chen 003; Xing He 001 (IEEE Access, 2016)

Complex dynamical behavior of neural networks in circuit implementation. - Tiancai Wang; Xing He 001; Tingwen Huang (Neurocomputing, 2016)

Recurrent neural network for solving model predictive control problem in application of four-tank benchmark. - Jing Xu; Chuandong Li 001; Xing He 001; Tingwen Huang (Neurocomputing, 2016)

Embedding cryptographic features in compressive sensing. - Yushu Zhang 001; Jiantao Zhou 001; Fei Chen 003; Leo Yu Zhang; Kwok-Wo Wong; Xing He 001; Di Xiao 001 (Neurocomputing, 2016)

A distributed continuous time consensus algorithm for maximize social welfare in micro grid. - Zao Fu; Xing He 001; Tingwen Huang; Haitham Abu-Rub (J. Frankl. Inst., 2016)

A recurrent neural network for adaptive beamforming and array correction. - Hangjun Che; Chuandong Li 001; Xing He 001; Tingwen Huang (Neural Networks, 2016)

A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach. - Chaojie Li; Xinghuo Yu 001; Tingwen Huang; Guo Chen 002; Xing He 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Distributed consensus based optimization in dynamical economic dispatch. - Chaojie Li; Chen Liu 022; Xinghuo Yu 001; Xing He 001; Huiwei Wang (ICACI, 2017)

A distributed strategy based on ADMM for dynamic economic dispatch problems considering environmental cost function with exponential term. - You Zhao; Xing He 001; Ling Chen 010 (IECON, 2017)

A Discrete-Time Projection Neural Network for Solving Degenerate Convex Quadratic Optimization. - Zican Zhang; Chuandong Li 001; Xing He 001; Tingwen Huang (Circuits Syst. Signal Process., 2017)

A Memristor-Based Lorenz Circuit and Its Stabilization via Variable-Time Impulsive Control. - Po Wu; Chuandong Li 001; Xing He 001; Tingwen Huang (Int. J. Bifurc. Chaos, 2017)

Circuit implementation of digitally programmable transconductance amplifier in analog simulation of reaction-diffusion neural model. - Miao Sun; Xing He 001; Tiancai Wang; Jie Tan; Dawen Xia (Neurocomputing, 2017)

Harnessing the Hybrid Cloud for Secure Big Image Data Service. - Yushu Zhang 001; Hui Huang 008; Yong Xiang 001; Leo Yu Zhang; Xing He 001 (IEEE Internet Things J., 2017)

Deciphering an RGB color image cryptosystem based on Choquet fuzzy integral. - Yushu Zhang 001; Wenying Wen; Yongfei Wu; Rui Zhang 030; Junxin Chen 001; Xing He 001 (Neural Comput. Appl., 2017)

Collective neurodynamic optimization for economic emission dispatch problem considering valve point effect in microgrid. - Tiancai Wang; Xing He 001; Tingwen Huang; Chuandong Li 001; Wei Zhang 158 (Neural Networks, 2017)

Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses. - Wei Zhang 102; Tingwen Huang; Xing He 001; Chuandong Li 001 (Neural Networks, 2017)

An Inertial Projection Neural Network for Solving Variational Inequalities. - Xing He 001; Tingwen Huang; Junzhi Yu; Chuandong Li 001; Chaojie Li (IEEE Trans. Cybern., 2017)

Neural network with added inertia for linear complementarity problem. - Xing He 001; Junjian Huang; Chaojie Li (ICARCV, 2018)

Recurrent neural network for combined economic and emission dispatch. - Ting Deng; Xing He 001; Zhigang Zeng (Appl. Intell., 2018)

Analog circuits for solving a class of variational inequality problems. - You Zhao; Xing He 001; Tingwen Huang; Qi Han 004 (Neurocomputing, 2018)

An inertial projection neural network for sparse signal reconstruction via l1-2 minimization. - Lijuan Zhu; Jianjun Wang 003; Xing He 001; You Zhao (Neurocomputing, 2018)

Input-to-state stability of impulsive inertial memristive neural networks with time-varying delayed. - Wei Zhang 102; Jiangtao Qi; Xing He 001 (J. Frankl. Inst., 2018)

A projection neural network for optimal demand response in smart grid environment. - Yao Yao; Xing He 001; Tingwen Huang; Chaojie Li; Dawen Xia (Neural Comput. Appl., 2018)

Smoothing inertial projection neural network for minimization Lp-q in sparse signal reconstruction. - You Zhao; Xing He 001; Tingwen Huang; Junjian Huang (Neural Networks, 2018)

A compression-diffusion-permutation strategy for securing image. - Hui Huang 008; Xing He 001; Yong Xiang 001; Wenying Wen; Yushu Zhang 001 (Signal Process., 2018)

Distributed Optimal Consensus Over Resource Allocation Network and Its Application to Dynamical Economic Dispatch. - Chaojie Li; Xinghuo Yu 001; Tingwen Huang; Xing He 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids. - Xing He 001; Daniel W. C. Ho; Tingwen Huang; Junzhi Yu; Haitham Abu-Rub; Chaojie Li (IEEE Trans. Syst. Man Cybern. Syst., 2018)

A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid. - Chunliang Gou; Xing He 001; Junjian Huang (ISNN (1), 2019)

Efficient and Secure Outsourcing of DFT, IDFT, and Circular Convolution. - Xiangli Xiao; Junjian Huang; Yushu Zhang 001; Xing He 001 (IEEE Access, 2019)

A strategy to optimize the multi-energy system in microgrid based on neurodynamic algorithm. - Xinxin Fang; Xing He 001; Junjian Huang (Appl. Soft Comput., 2019)

Plug-in electric vehicle charging management via a distributed neurodynamic algorithm. - You Zhao; Xing He 001; Yao Yao; Junjian Huang (Appl. Soft Comput., 2019)

A robust and secure image sharing scheme with personal identity information embedded. - Ping Wang 029; Xing He 001; Yushu Zhang 001; Wenying Wen; Ming Li 029 (Comput. Secur., 2019)

Distributed Neuro-Dynamic Optimization for Multi-Objective Power Management Problem in Micro-Grid. - Xiaowei Liang; Xing He 001; Tingwen Huang (Neurocomputing, 2019)

A survey on distributed optimisation approaches and applications in smart grids. - Huiwei Wang; Chaojie Li; Jueyou Li; Xing He 001; Tingwen Huang (J. Control. Decis., 2019)

Nonnegative matrix factorization algorithms based on the inertial projection neural network. - Xiangguang Dai; Chuandong Li 001; Xing He 001; Chaojie Li (Neural Comput. Appl., 2019)

Neural networks for power management optimal strategy in hybrid microgrid. - Tiancai Wang; Xing He 001; Ting Deng (Neural Comput. Appl., 2019)

Distributed Power Management for Dynamic Economic Dispatch in the Multimicrogrids Environment. - Xing He 001; Junzhi Yu; Tingwen Huang; Chaojie Li (IEEE Trans. Control. Syst. Technol., 2019)

Distributed Energy Management Strategy for Reaching Cost-Driven Optimal Operation Integrated With Wind Forecasting in Multimicrogrids System. - Xing He 001; Xinxin Fang; Junzhi Yu (IEEE Trans. Syst. Man Cybern. Syst., 2019)

A Continuous-Time Algorithm for Distributed Optimization Based on Multiagent Networks. - Xing He 001; Tingwen Huang; Junzhi Yu; Chaojie Li; Yushu Zhang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2019)

Collective Neurodynamic Optimization for Image Segmentation by Binary Model with Constraints. - Shengzhan He; Junjian Huang; Xing He 001 (Cogn. Comput., 2020)

A Neurodynamic Algorithm for Sparse Signal Reconstruction with Finite-Time Convergence. - Hongsong Wen; Hui Wang; Xing He 001 (Circuits Syst. Signal Process., 2020)

Special issue: Theoretical analysis of deep learning editorial. - Tingwen Huang; Chaojie Li; Shiping Wen 001; Xing He 001; Guanghui Wen (Neurocomputing, 2020)

An inertial projection neural network for solving inverse variational inequalities. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neurocomputing, 2020)

A neurodynamic algorithm to optimize residential demand response problem of plug-in electric vehicle. - Xun Zong; Hui Wang; Xing He 001 (Neurocomputing, 2020)

A combined neurodynamic approach to optimize the real-time price-based demand response management problem using mixed zero-one programming. - Chentao Xu; Xing He 001; Tingwen Huang; Junjian Huang (Neural Comput. Appl., 2020)

A smoothing neural network for minimization l1-lp in sparse signal reconstruction with measurement noises. - You Zhao; Xing He 001; Tingwen Huang; Junjian Huang; Peng Li 001 (Neural Networks, 2020)

Distributed Neuro-Dynamic Algorithm for Price-Based Game in Energy Consumption System. - Shifan Wen; Xing He 001; Tingwen Huang (Neural Process. Lett., 2020)

Average Quasi-Consensus Algorithm for Distributed Constrained Optimization: Impulsive Communication Framework. - Xing He 001; Junzhi Yu; Tingwen Huang; Chuandong Li 001; Chaojie Li (IEEE Trans. Cybern., 2020)

Optimizing the Dynamic Economic Dispatch Problem by the Distributed Consensus-Based ADMM Approach. - Xing He 001; You Zhao; Tingwen Huang (IEEE Trans. Ind. Informatics, 2020)

Secure Transmission of Compressed Sampling Data Using Edge Clouds. - Yushu Zhang 001; Ping Wang 029; Liming Fang 001; Xing He 001; Hao Han; Bing Chen 002 (IEEE Trans. Ind. Informatics, 2020)

A Fully Distributed Approach to Optimal Energy Scheduling of Users and Generators Considering a Novel Combined Neurodynamic Algorithm in Smart Grid. - Chentao Xu; Xing He 001 (IEEE CAA J. Autom. Sinica, 2021)

Exponential convergence of a proximal projection neural network for mixed variational inequalities and applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neurocomputing, 2021)

A continuous-time consensus algorithm using neurodynamic system for distributed time-varying optimization with inequality constraints. - Shuang He; Xing He 001; Tingwen Huang (J. Frankl. Inst., 2021)

A proximal neurodynamic model for solving inverse mixed variational inequalities. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (Neural Networks, 2021)

Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization. - You Zhao; Xiaofeng Liao 001; Xing He 001; Rongqiang Tang; Weiwei Deng (Neural Networks, 2021)

A Smoothing Inertial Neural Network for Sparse Signal Reconstruction with Noise Measurements via Lp-L1 minimization. - Lieqin Jiang; Xing He 001 (Circuits Syst. Signal Process., 2022)

A modified projection neural network with fixed-time convergence. - Dengzhou Hu; Xing He 001; Xingxing Ju (Neurocomputing, 2022)

A finite-time projection neural network to solve the joint optimal dispatching problem of CHP and wind power. - Boyu Wei; Xing He 001 (Neural Comput. Appl., 2022)

Fixed-Time Stable Neurodynamic Flow to Sparse Signal Recovery via Nonconvex L1-β2-Norm. - You Zhao; Xiaofeng Liao 001; Xing He 001 (Neural Comput., 2022)

Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function. - Hongsong Wen; Xing He 001; Tingwen Huang (Neural Networks, 2022)

Neurodynamic approaches for sparse recovery problem with linear inequality constraints. - Jiao Yang; Xing He 001; Tingwen Huang (Neural Networks, 2022)

Novel projection neurodynamic approaches for constrained convex optimization. - You Zhao; Xiaofeng Liao 001; Xing He 001 (Neural Networks, 2022)

Solving Mixed Variational Inequalities Via a Proximal Neurodynamic Network with Applications. - Xingxing Ju; Hangjun Che; Chuandong Li 001; Xing He 001 (Neural Process. Lett., 2022)

A Neurodynamic Algorithm for Energy Scheduling Game in Microgrid Distribution Networks. - Shifan Wen; Xing He 001 (Neural Process. Lett., 2022)

Neurodynamic Network for Absolute Value Equations: A Fixed-Time Convergence Technique. - Xingxing Ju; Chuandong Li 001; Xin Han; Xing He 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Two-Layer Distributed Algorithm Using Neurodynamic System for Solving L1-Minimization. - Junpeng Xu; Xing He 001; Xin Han; Hongsong Wen (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

A Novel Fixed-Time Converging Neurodynamic Approach to Mixed Variational Inequalities and Applications. - Xingxing Ju; Dengzhou Hu; Chuandong Li 001; Xing He 001; Gang Feng 001 (IEEE Trans. Cybern., 2022)

Distributed Continuous and Discrete Time Projection Neurodynamic Approaches for Sparse Recovery. - You Zhao; Xiaofeng Liao 001; Xing He 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

A Fixed-Time Projection Neural Network for Solving L₁-Minimization Problem. - Xing He 001; Hongsong Wen; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization. - You Zhao; Xiaofeng Liao 001; Xing He 001; Rongqiang Tang (IEEE Trans. Neural Networks Learn. Syst., 2022)

A distributed neurodynamic algorithm for sparse signal reconstruction via ℓ1-minimization. - Xin Han; Xing He 001; Xingxing Ju (Neurocomputing, 2023)

Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems. - You Zhao; Xiaofeng Liao 001; Xing He 001; Mingliang Zhou 001; Chaojie Li (J. Mach. Learn. Res., 2023)

Distributed Inertial Continuous and Discrete Time Algorithms for Solving Resource Allocation Problem. - You Zhao; Xiaofeng Liao 001; Xing He 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Distributed Smoothing Projection Neurodynamic Approaches for Constrained Nonsmooth Optimization. - You Zhao; Xiaofeng Liao 001; Xing He 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Bipartite Synchronization of Signed Lur'e Network via Quantized Control. - Jinyue Yang; Junjian Huang; Xing He 001; Shiping Wen 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Sparse Recovery Algorithm Using the Neurodynamic System With Predefined Time Convergence. - Yiyue Zhu; Xing He 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

FPGA Implementation for Finite-Time and Fixed-Time Neurodynamic Algorithms in Constrained Optimization Problems. - Jiahao Zhang; Xing He 001; Gui Zhao; Tingwen Huang (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications. - Xingxing Ju; Chuandong Li 001; Hangjun Che; Xing He 001; Gang Feng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Arbitrary-Time Stable Gradient Flows Using Neurodynamic System for Continuous-Time Optimization. - Hongsong Wen; Xing He 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Accelerated Projection Algorithm Based on Smoothing Approximation for Distributed Nonsmooth Optimization. - You Zhao; Xiaofeng Liao 001; Xing He 001 (IEEE Trans. Control. Netw. Syst., 2023)

Fixed-time synchronization of complex-valued neural networks for image protection and 3D point cloud information protection. - Wenqiang Yang; Junjian Huang; Xing He 001; Shiping Wen 001 (Neural Networks, 2024)

Inverse-free distributed neurodynamic optimization algorithms for sparse reconstruction. - Xin Han; Xing He 001; Mingliang Zhou 001; Tingwen Huang (Signal Process., 2024)

FPGA Implementation of Classical Dynamic Neural Networks for Smooth and Nonsmooth Optimization Problems. - Renfeng Xiao; Xing He 001; Tingwen Huang; Junzhi Yu (IEEE Trans. Sustain. Comput., 2024)

A fixed-time converging neurodynamic approach with time-varying coefficients for l1-minimization problem. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen; Xiaoyu Zhang 015 (Inf. Sci., 2024)

Projection neural networks with finite-time and fixed-time convergence for sparse signal reconstruction. - Jing Xu; Chuandong Li 001; Xing He 001; Xiaoyu Zhang 015 (Neural Comput. Appl., 2024)

Neurodynamic Algorithms With Finite/Fixed-Time Convergence for Sparse Optimization via ℓ1 Regularization. - Hongsong Wen; Xing He 001; Tingwen Huang; Junzhi Yu (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Fixed-time neural networks with time-invariant and time-varying coefficients for mixed variational inequalities. - Hongsong Wen; Xing He 001; Jing Xu; Mingliang Zhou 001; Tingwen Huang (Inf. Sci., 2024)

Distributed Computation for Sparse Recovery via Continuous-Time Neurodynamic Approach. - You Zhao; Xiaofeng Liao 001; Mingliang Zhou 001; Xing He 001 (IEEE Trans. Consumer Electron., 2024)

Circuit Implementation of Proximal Projection Neural Networks for Composite Optimization Problems. - Jintao Wu; Xing He 001; Youcheng Niu; Tingwen Huang; Junzhi Yu (IEEE Trans. Ind. Electron., 2024)

A Proximal Dynamic Approach to Equilibrium Problems With Finite-Time Convergence. - Xingxing Ju; Chuandong Li 001; Xing He 001; Gang Feng 001 (IEEE Trans. Autom. Control., 2024)

Unified Single-Layer Inverse-Free Neurodynamic Network for Solving Absolute Value Equations. - Xin Han; Xing He 001; Xingxing Ju; Jiawei Chen (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy. - Lihua Tan; Xin Wang 028; Chuandong Li 001; Xing He 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Impulsive Projection Neural Networks for Variational Inequalities and Sparse Signal Reconstruction Application. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen (Cogn. Comput., 2024)

Accelerated Primal-Dual Projection Neurodynamic Approach With Time Scaling for Linear and Set Constrained Convex Optimization Problems. - You Zhao; Xing He 001; Mingliang Zhou 001; Tingwen Huang (IEEE CAA J. Autom. Sinica, 2024)

Bipartite Synchronization of Signed Networks With Time-Vary Delays Based on T-S Fuzzy System. - Jinyue Yang; Junjian Huang; Xing He 001; Shiping Wen 001; Huamin Wang 002 (IEEE Trans. Fuzzy Syst., 2024)

Finite-Time Synchronization of Neural Networks With Proportional Delays for RGB-D Image Protection. - Wenqiang Yang; Junjian Huang; Xing He 001; Shiping Wen 001; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Novel Projection Neural Network for Sparse Optimization With ${L_ mathrm{{1}}}$-Minimization Problem. - Hongsong Wen; Xing He 001; Tingwen Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Distributed Inertial Proximal Neurodynamic Approach for Sparse Recovery on Directed Networks. - You Zhao; Xing He 001; Mingliang Zhou 001; Junzhi Yu; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations. - Xin Han; Xing He 001; Xingxing Ju; Hangjun Che; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function. - Jing Xu; Chuandong Li 001; Xing He 001; Hongsong Wen; Xingxing Ju (IEEE Trans. Neural Networks Learn. Syst., 2025)

Deep Learning and Projection Neural Network With Finite-Time Convergence for Energy Management of Multi-Energy System. - Xueying Liu; Xing He 001; Chaojie Li; Tingwen Huang (IEEE Trans. Smart Grid, 2025)

Matrix Neurodynamic Approaches for Rank Minimization: Finite/Fixed-Time Convergence Technique. - Meng Zhang; Xing He 001; Tingwen Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

ISRnet: Compressed Image Inpainting Based on Generative Adversarial Network. - Junjian Huang; Mao Zheng; Zhizhang Li; Xing He 001; Shiping Wen 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)