Attacks and Defenses towards Machine Learning Based Systems. - Yingchao Yu; Xueyong Liu; Zuoning Chen (CSAE, 2018)

A new image classification model based on brain parallel interaction mechanism. - Yingchao Yu; Kuangrong Hao; Yongsheng Ding (Neurocomputing, 2018)

SGPFuzzer: A State-Driven Smart Graybox Protocol Fuzzer for Network Protocol Implementations. - Yingchao Yu; Zuoning Chen; Shuitao Gan; Xiaofeng Wang (IEEE Access, 2020)

HDBFuzzer-Target-oriented Hybrid Directed Binary Fuzzer. - Yingchao Yu; Xiaojun Qin; Shuitao Gan (CSAE, 2021)

firm VulSeeker: BERT and Siamese based Vulnerability for Embedded Device Firmware Images. - Yingchao Yu; Shuitao Gan; Xiaojun Qin (ISCC, 2021)

Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues. - Peng Qi 005; Juan Cao 001; Xirong Li 001; Huan Liu 001; Qiang Sheng 001; Xiaoyue Mi; Qin He; Yongbiao Lv; Chenyang Guo; Yingchao Yu (ACM Multimedia, 2021)

Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks. - Yingchao Yu; Yuping Yan; Jisong Cai; Yaochu Jin (CoRR, 2024)

Privacy-preserving Quantification of Non-IID Degree in Federated Learning. - Yuping Yan; Yizhi Wang; Yingchao Yu; Yaochu Jin (CoRR, 2024)

A Recurrent Spiking Network with Hierarchical Intrinsic Excitability Modulation for Schema Learning. - Yingchao Yu; Yaochu Jin; Yuchen Xiao; Yuping Yan (CoRR, 2025)

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition. - Zeqi Zheng; Yanchen Huang; Yingchao Yu; Zizheng Zhu; Junfeng Tang; Zhaofei Yu; Yaochu Jin (CoRR, 2025)

TDFormer: A Top-Down Attention-Controlled Spiking Transformer. - Zizheng Zhu; Yingchao Yu; Zeqi Zheng; Zhaofei Yu; Yaochu Jin (CoRR, 2025)

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers. - Zeqi Zheng; Zizheng Zhu; Yingchao Yu; Yanchen Huang; Changze Lv; Junfeng Tang; Zhaofei Yu; Yaochu Jin (CoRR, 2025)

Structural knowledge: from brain to artificial intelligence. - Yingchao Yu; Yuping Yan; Yaochu Jin (Artif. Intell. Rev., 2025)