Formal Models for Intelligent Speed Validation and Adaptation. - Maria Spichkova; Milan Simic; Heinrich-Wilhelm Schmidt; Jian Cheng; Xuening Dong; Yuxi Gui; Yin Liang; Peng Ling; Zixiong Yin (KES, 2016)

In-Memory Memristive Transformation Stage of Gaussian Random Number Generator. - Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (COINS, 2022)

Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. - Chenqi Li; Corey Lammie; Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (IEEE Trans. Biomed. Circuits Syst., 2022)

HUXIN: In-Memory Crossbar Core for Integration of Biologically Inspired Stochastic Neuron Models. - Louis Primeau; Xuening Dong; Amirali Amirsoleimani; Roman Genov (ISCAS, 2023)

Efficient Memristive Stochastic Differential Equation Solver. - Xuening Dong; Louis Primeau; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (Adv. Intell. Syst., 2023)

SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training. - Xuening Dong; Brian Chen; Roman Genov; Mostafa Rahimi Azghadi; Amirali Amirsoleimani (Neurocomputing, 2024)

WALLAX: A memristor-based Gaussian random number generator. - Xuening Dong; Amirali Amirsoleimani; Mostafa Rahimi Azghadi; Roman Genov (Neurocomputing, 2024)