A protein detection POCT device based on microfluidic immunoassay chips. - Lijia Yu; Xiaoqiong Li; Xiaoming Hu; Shiyong Yu; Xuefei Lv; Qin Li; Yulin Deng (BMEI, 2015)

A Robust Classification-autoencoder to Defend Outliers and Adversaries. - Lijia Yu; Xiao-Shan Gao (CoRR, 2021)

Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks. - Lijia Yu; Xiao-Shan Gao (CoRR, 2021)

Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game. - Xiao-Shan Gao; Shuang Liu; Lijia Yu (CoRR, 2022)

Adversarial Parameter Attack on Deep Neural Networks. - Lijia Yu; Yihan Wang; Xiao-Shan Gao (ICML, 2023)

Restore Translation Using Equivariant Neural Networks. - Yihan Wang; Lijia Yu; Xiao-Shan Gao (ICONIP (8), 2023)

Improve Robustness and Accuracy of Deep Neural Network with L2,∞ Normalization. - Lijia Yu; Xiao-Shan Gao (J. Syst. Sci. Complex., 2023)

Detection and Defense of Unlearnable Examples. - Yifan Zhu; Lijia Yu; Xiao-Shan Gao (AAAI, 2024)

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. - Tao Lin; Lijia Yu; Gaojie Jin; Renjue Li; Peng Wu; Lijun Zhang 001 (ECCV (66), 2024)

Optimal robust Memorization with ReLU Neural Networks. - Lijia Yu; Xiao-Shan Gao; Lijun Zhang (ICLR, 2024)

Generalization Bound and New Algorithm for Clean-Label Backdoor Attack. - Lijia Yu; Shuang Liu; Yibo Miao; Xiao-Shan Gao; Lijun Zhang (ICML, 2024)

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective. - Yibo Miao; Yinpeng Dong; Jinlai Zhang; Lijia Yu; Xiao Yang; Xiao-Shan Gao (NeurIPS, 2024)

T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. - Yibo Miao; Yifan Zhu; Lijia Yu; Jun Zhu 001; Xiao-Shan Gao; Yinpeng Dong (NeurIPS, 2024)

Generalizablity of Memorization Neural Network. - Lijia Yu; Xiao-Shan Gao; Lijun Zhang; Yibo Miao (NeurIPS, 2024)

Generalizability of Memorization Neural Networks. - Lijia Yu; Xiao-Shan Gao; Lijun Zhang; Yibo Miao (CoRR, 2024)

PowerMLP: An Efficient Version of KAN. - Ruichen Qiu; Yibo Miao; Shiwen Wang; Yifan Zhu; Lijia Yu; Xiao-Shan Gao (AAAI, 2025)

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power. - Lijia Yu; Yibo Miao; Yifan Zhu; Xiao-Shan Gao; Lijun Zhang (ICLR, 2025)

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability. - Lijia Yu; Yibo Miao; Yifan Zhu; Xiao-Shan Gao; Lijun Zhang (CoRR, 2025)