Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences. - Weihua He; Yujie Wu 002; Lei Deng 003; Guoqi Li 002; Haoyu Wang; Yang Tian 002; Wei Ding; Wenhui Wang 001; Yuan Xie 001 (Neural Networks, 2020)

KoopmanLab: machine learning for solving complex physics equations. - Wei Xiong 016; Muyuan Ma; Ziyang Zhang; Pei Sun; Yang Tian 002 (CoRR, 2023)

Event-Based Semantic Segmentation With Posterior Attention. - Zexi Jia; Kaichao You; Weihua He; Yang Tian 002; Yongxiang Feng; Yaoyuan Wang; Xu Jia 012; Yihang Lou; Jingyi Zhang; Guoqi Li 002; Ziyang Zhang (IEEE Trans. Image Process., 2023)

Data set for analyzing scaling and criticality in large-scale social systems regulated by global factors. - Yang Tian 002; Pei Sun (Zenodo, 2023)

Koopman neural operator as a mesh-free solver of non-linear partial differential equations. - Wei Xiong 016; Xiaomeng Huang; Ziyang Zhang; Ruixuan Deng; Pei Sun; Yang Tian 002 (J. Comput. Phys., 2024)

Network model with internal complexity bridges artificial intelligence and neuroscience. - Linxuan He; Yunhui Xu; Weihua He; Yihan Lin; Yang Tian 002; Yujie Wu 002; Wenhui Wang 001; Ziyang Zhang; Junwei Han 001; Yonghong Tian 001; Bo Xu 002; Guoqi Li 002 (Nat. Comput. Sci., 2024)