Int. J. Autom. Comput.

Publications

volume 20, number 1, 2023

Feilong Chen, Duzhen Zhang, Minglun Han, Xiu-Yi Chen, Jing Shi, Shuang Xu, Bo Xu
VLP: A Survey on Vision-language Pre-training. Int. J. Autom. Comput. 20 (1) (2023)
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20 (1) (2023)
Mei-Ling Wang, Wei Shao, Xiaoke Hao, Daoqiang Zhang
Machine Learning for Brain Imaging Genomics Methods: A Review. Int. J. Autom. Comput. 20 (1) (2023)
Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20 (1) (2023)
Qi Zheng, Chaoyue Wang, Dadong Wang, Dacheng Tao
Visual Superordinate Abstraction for Robust Concept Learning. Int. J. Autom. Comput. 20 (1) (2023)
Nanfei Jiang, Xu Zhao, Chaoyang Zhao, Yongqi An, Ming Tang, Jinqiao Wang
Pruning-aware Sparse Regularization for Network Pruning. Int. J. Autom. Comput. 20 (1) (2023)
Guoyin Wang, Dongdong Cheng, Deyou Xia, Hai Jiang
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence. Int. J. Autom. Comput. 20 (1) (2023)
Hong Qiao, Ya-Xiong Wu, Shanlin Zhong, Peijie Yin, Jiahao Chen
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application. Int. J. Autom. Comput. 20 (1) (2023)

volume 20, number 3, 2023

volume 19, number 1, 2022

volume 19, number 2, 2022

volume 19, number 3, 2022

volume 19, number 4, 2022

volume 19, number 5, 2022

volume 19, number 6, 2022