Deep Koopman-operator based model predictive control for closed-loop electrical neurostimulation in epilepsy. - Zhichao Liang; Zixiang Luo; Keyin Liu; Jingwei Qiu; Quanying Liu (CoRR, 2021)

UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection. - Wanyi Zhuang; Qi Chu 001; Zhentao Tan; Qiankun Liu 001; Haojie Yuan; Changtao Miao; Zixiang Luo; Nenghai Yu (ECCV (5), 2022)

Enhancing Adversarial Transferability from the Perspective of Input Loss Landscape. - Yinhu Xu; Qi Chu 001; Haojie Yuan; Zixiang Luo; Bin Liu 016; Nenghai Yu (ICIG (1), 2023)

A Simple Masked Autoencoder Paradigm for Point Cloud. - Zixiang Luo; Qi Chu 001; Qiankun Liu 001; Bin Liu 016; Nenghai Yu (ICME Workshops, 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)

Online Learning Koopman Operator for Closed-Loop Electrical Neurostimulation in Epilepsy. - Zhichao Liang; Zixiang Luo; Keyin Liu; Jingwei Qiu; Quanying Liu (IEEE J. Biomed. Health Informatics, 2023)