Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients. - Hongjun Xiang; Jinde Cao (ISNN (1), 2007)

A comparative study of genetic algorithm parameters for the inverse problem-based fault diagnosis of liquid rocket propulsion systems. - Erfu Yang; Hongjun Xiang; Dongbing Gu; Zhenpeng Zhang (Int. J. Autom. Comput., 2007)

Periodic Oscillation of Fuzzy Cohen-Grossberg Neural Networks with Distributed Delay and Variable Coefficients. - Hongjun Xiang; Jinde Cao (J. Appl. Math., 2008)

Effects of spin-orbit coupling on magnetic properties of discrete and extended magnetic systems. - Dadi Dai; Hongjun Xiang; Myung-Hwan Whangbo (J. Comput. Chem., 2008)

Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays. - Hongjun Xiang; Jinde Cao (Neurocomputing, 2009)

Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays. - Hongjun Xiang; Jinhua Wang; Jinde Cao (Neurocomputing, 2009)

Existence of Concave Positive Solutions for Boundary Value Problem of Nonlinear Fractional Differential Equation with p-Laplacian Operator. - Jinhua Wang; Hongjun Xiang; Zhigang Liu (Int. J. Math. Math. Sci., 2010)

Theoretical research on bending deflection of ram in DVT250 numerical control double-column lathe. - Defan Zhou; Xiaodong Yu; Xiuli Meng; Chunli Gao; Zhixin Qiu; Hongjun Xiang; Changqing Yang; Yinfeng Liu; Shuyan Zhao; Yan Ni; Wenwu Guo (EMEIT, 2011)

Upper semicontinuity of random attractors for stochastic three-component reversible Gray-Scott system. - Anhui Gu; Hongjun Xiang (Appl. Math. Comput., 2013)

Reverse Force Suppression Method of Reluctance Coil Launcher Based on Consumption Resistor. - Chunyan Liang; Hongjun Xiang; Xichao Yuan; Zhiming Qiao; Qing-Ao Lv (IEEE Access, 2021)

Complex Spin Hamiltonian Represented by Artificial Neural Network. - Hongyu Yu; Changsong Xu; Feng Lou; L. Bellaiche; Zhenpeng Hu; Xingao Gong; Hongjun Xiang (CoRR, 2021)

Parameters Simulation and Optimization of Flying Net for UAVs Interception. - Hongjun Xiang; Chunyan Liang; Zhiming Qiao; Xichao Yuan; Genrong Cao (IEEE Access, 2022)

Edge-based Tensor prediction via graph neural networks. - Yang Zhong; Hongyu Yu; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Graph Neural Network Potential for Magnetic Materials. - Hongyu Yu; Yang Zhong; Changsong Xu; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids. - Yang Zhong; Hongyu Yu; Mao Su; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Time-reversal equivariant neural network potential and Hamiltonian for magnetic materials. - Hongyu Yu; Yang Zhong; Junyi Jessy Ji; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Capturing long-range interaction with reciprocal space neural network. - Hongyu Yu; Liangliang Hong; Shiyou Chen; Xingao Gong; Hongjun Xiang (CoRR, 2022)

Moiré magnetic exchange interactions in twisted magnets. - Baishun Yang; Yang Li; Hongjun Xiang; Haiqing Lin; Bing Huang (Nat. Comput. Sci., 2023)

Efficient determination of the Hamiltonian and electronic properties using graph neural network with complete local coordinates. - Mao Su; Ji-Hui Yang; Hongjun Xiang; Xingao Gong (Mach. Learn. Sci. Technol., 2023)

Universal Machine Learning Kohn-Sham Hamiltonian for Materials. - Yang Zhong; Jihui Yang; Hongjun Xiang; Xingao Gong (CoRR, 2024)

Accelerating the calculation of electron-phonon coupling strength with machine learning. - Yang Zhong; Shixu Liu; Binhua Zhang; Zhiguo Tao; Yuting Sun; Weibin Chu; Xin-Gao Gong; Ji-Hui Yang; Hongjun Xiang (Nat. Comput. Sci., 2024)

A New Analysis Framework for Solving Multiple Frequencies and Solutions of Nonlinear Piezoelectric Energy Harvesters. - Yi Yang; Hongjun Xiang (Commun. Nonlinear Sci. Numer. Simul., 2025)