Axon Arbor Trade-off Between Wiring Cost, Delay, and Synchronization in Neuronal Networks. - Quanying Liu; Christian Kurniawan; Chenxi Xu; Siddhant Jagtap; Xiyu Deng; Kexin Lou; Yong Sheng Soh; Yorie Nakahira (CISS, 2021)

Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization. - Chen Wei 006; Kexin Lou; Zhengyang Wang; Mingqi Zhao; Dante Mantini; Quanying Liu (IJCNN, 2021)

Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization. - Chen Wei 006; Kexin Lou; Zhengyang Wang; Mingqi Zhao; Dante Mantini; Quanying Liu (CoRR, 2021)

Embedding Decomposition for Artifacts Removal in EEG Signals. - Junjie Yu; Chenyi Li; Kexin Lou; Chen Wei 006; Quanying Liu (CoRR, 2021)

Pricing Models for a Two-Period Manufacturing and Remanufacturing Process Under Carbon Cap and Trade Mechanism. - Kexin Lou (IEEE Access, 2023)

Perturbing a Neural Network to Infer Effective Connectivity: Evidence from Synthetic EEG Data. - Peizhen Yang; Xinke Shen; Zongsheng Li; Zixiang Luo; Kexin Lou; Quanying Liu (CoRR, 2023)

Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain. - Mo Wang; Kexin Lou; Zeming Liu; Pengfei Wei; Quanying Liu (NeuroImage, 2023)

Advancing EEG/MEG Source Imaging with Geometric-Informed Basis Functions. - Song Wang; Chen Wei 006; Kexin Lou; Dongfeng Gu; Quanying Liu (EMBC, 2024)

A Data-Driven Framework for Whole-Brain Network Modeling with Simultaneous EEG-SEEG Data. - Kexin Lou; Jingzhe Li; Markus Barth; Quanying Liu (IIP (1), 2024)

Controlling network-coupled neural dynamics with nonlinear network control theory. - Zhongye Xia; Weibin Li; Zhichao Liang; Kexin Lou; Quanying Liu (CoRR, 2024)