ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. - Qingzhong Ai; Lirong He; Shiyu Liu; Zenglin Xu (NeurIPS, 2021)

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. - Qingzhong Ai; Lirong He; Liangjian Wen; Shiyu Liu; Zenglin Xu (CoRR, 2021)

Kernel Selection for Stein Variational Gradient Descent. - Qingzhong Ai; Shiyu Liu; Zenglin Xu (CoRR, 2021)

A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs. - Yanchen Li; Qingzhong Ai; Fumihiko Ino (IJCNN, 2022)

Generative Oversampling for Imbalanced Data via Majority-Guided VAE. - Qingzhong Ai; Pengyun Wang; Lirong He; Liangjian Wen; Lujia Pan; Zenglin Xu (AISTATS, 2023)

Edge enhancement improves adversarial robustness in image classification. - Lirong He; Qingzhong Ai; Yuqing Lei; Lili Pan 001; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2023)

Stein Variational Gradient Descent with Multiple Kernels. - Qingzhong Ai; Shiyu Liu; Lirong He; Zenglin Xu (Cogn. Comput., 2023)

Boosting adversarial robustness via self-paced adversarial training. - Lirong He; Qingzhong Ai; Xincheng Yang; Yazhou Ren 001; Qifan Wang 001; Zenglin Xu (Neural Networks, 2023)