Excitation-Inhibition Balanced Neural Networks for Fast Signal Detection. - Gengshuo Tian; Shangyang Li; Tiejun Huang 001; Si Wu 001 (Frontiers Comput. Neurosci., 2020)

Learning Robust Representation Through Graph Adversarial Contrastive Learning. - Jiayan Guo; Shangyang Li; Yue Zhao; Yan Zhang (DASFAA (1), 2022)

An Information Theoretic Perspective for Heterogeneous Subgraph Federated Learning. - Jiayan Guo; Shangyang Li; Yan Zhang (DASFAA (1), 2023)

A differentiable brain simulator bridging brain simulation and brain-inspired computing. - Chaoming Wang; Tianqiu Zhang; Sichao He; Yifeng Gong; Hongyaoxing Gu; Shangyang Li; Si Wu 001 (CoRR, 2023)

DetAC: Approach to Detect Access Control Vulnerability in Web Application Based on Sitemap Model with Global Information Representation. - Jiadong Ren; Mingyou Wu; Bing Zhang 011; Ke Xu; Shangyang Li; Qian Wang 009; Yue Chang; Tao Cheng (Int. J. Softw. Eng. Knowl. Eng., 2023)

A differentiable brain simulator bridging brain simulation and brain-inspired computing. - Chaoming Wang; Tianqiu Zhang; Sichao He; Hongyaoxing Gu; Shangyang Li; Si Wu 001 (ICLR, 2024)

Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning. - Shangyang Li; Jiayan Guo (ACM Trans. Knowl. Discov. Data, 2025)