# co-first author,  * corresponding author

[11] Yongbo Wang, Zerui Mao, Qing Xiao, Shipeng Wang, Dong Zeng, Jianhua Ma, Lin Xie, A Unified Framework for Sparse-view CT Reconstruction via Back-projection Tensor Interpolation, Pattern Recognition, Accepted, 2026.

[10] Liwei Yang,  Xiang Gu,  Shipeng Wang, Jian Sun, Learning Domain Generalizable Semantic Segmentation Model by Transformation-invariant Feature Subspace Projection, NeuroComuting, Accepted, 2026.

[9] Yi Guo,  Shipeng Wang, Zeying Chen,  Zhaoying Bian,  Dong  Zeng, Jianhua Ma, Yongbo Wang,  Tomo-Net: A Physics-Inspired Dual Regression Network for Nonlinear Tomographic Imaging, IEEE Trans. on Neural Network and Learning System, Accepted, 2026.

[8] Jiayi Wang#, Shipeng Wang#, Ji Wu, Jian Sun, SAME: Safety-Aware Model Editing Guided by Safety Transformation, ACL, 2026 

[7] shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu, Training Networks in Null Space of Feature Covariance with Self-Supervision for Incremental Learning, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2024.

[6] Ji Wu#, Shipeng Wang#, Jian Sun, AMMD: Attentive Maximum Mean Discrepancy for Few-Shot Image Classification, Pattern Recognition, 2024.

[5] Xiaorong Li#, Shipeng Wang#, Jian Sun, Zongben Xu, Memory efficient data-free distillation for continual learning,  Pattern Recognition, 2023.

[4] Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu, Variational Data-Free Knowledge Distillation for Continual Learning, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2023.

[3] Shipeng Wang, Jian Sun, Zongben Xu. Training Networks in Null Space of Feature Covariance for Continual Learning,  IEEE Conf. Computer Vision and Pattern Recognition (oral), 2021. (CCF-A)

[2] Shipeng Wang, Yan Yang, Jian Sun, Zongben Xu. Variational HyperAdam: A Meta-learning Approach to Network Training, IEEE Trans. on Pattern Analysis and Machine Intelligence, Accepted, 2021

[1] Shipeng Wang, Jian Sun, Zongben Xu. HyperAdam: A Learnable Task-Adaptive Adam for Network Training, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.