1. Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He, Aggregated residual transformations for deep neural networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 1492–1500.
2. Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 770–778.
3. Multimodal marketing intent analysis for effective targeted advertising;Zhang;IEEE Trans. Multimed.,2021
4. BBAS: Towards large scale effective ensemble adversarial attacks against deep neural network learning;Shen;Inform. Sci.,2021
5. Multi-criteria selection of rehearsal samples for continual learning;Zhuang;Pattern Recognit.,2022