no code implementations • 14 Nov 2023 • Pei Zhang, Zhaobo Hua, Jinliang Ding
Designing controllers to achieve natural motor capabilities for multi-joint robots is a significant challenge.
no code implementations • 19 Oct 2023 • huan zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
Although data-driven evolutionary optimization and Bayesian optimization (BO) approaches have shown promise in solving expensive optimization problems in static environments, the attempts to develop such approaches in dynamic environments remain rarely unexplored.
no code implementations • 4 Jun 2023 • Jiancheng Zhao, Jiaqi Yue, Liangjun Feng, Chunhui Zhao, Jinliang Ding
In this article, we propose a knowledge space sharing (KSS) model to address the DSP in the generalized zero-shot industrial fault diagnosis task.
no code implementations • Journal - IEEE Transactions on Neural Networks and Learning Systems 2021 • Cuie Yang, Yiu-ming Cheung, Jinliang Ding, Kay Chen Tan
Then, a domain-wise weighted ensemble is introduced to combine the source and target models to select useful knowledge of each domain.
no code implementations • 14 Dec 2020 • Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai
Existing work on data-driven optimization focuses on problems in static environments, but little attention has been paid to problems in dynamic environments.