Disrupted visual input unveils the computational details of artificial neural networks for face perception. - Yi-Fan Li; Haojiang Ying (Frontiers Comput. Neurosci., 2022)

Using Human-like Mechanism to Weaken Effect of Pre-training Weight Bias in Face-Recognition Convolutional Neural Network. - Haojiang Ying; Yi-Fan Li; Yiyang Chen (CoRR, 2023)

Face processing emerges from object-trained convolutional neural networks. - Zhenhua Zhao; Ji Chen; Zhicheng Lin; Haojiang Ying (CoRR, 2024)

Neural network based cognitive approaches from face perception with human performance benchmark. - Yiyang Chen; Yi-Fan Li; Chuanxin Cheng; Haojiang Ying (Pattern Recognit. Lett., 2024)

Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox. - Xinlin Li; Yiming Wang; Xiaoyu Bi; Yalu Xu; Haojiang Ying; Yiyang Chen (Symmetry, 2024)