Kang Li is affiliated with the University of Leeds in the United Kingdom and has a research focus primarily within the field of Engineering, with significant contributions to Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Industrial and Manufacturing Engineering, and Mechanical Engineering.
Their published work spans several key topics, including:
Kang Li's frequent coauthors include Zhile Yang, Dajun Du, Yihuan Li, Li Zhang, and Xuan Liu.
Their publications appear repeatedly in leading venues such as:
Selected recent papers illustrate the scope and application of their research:
Kang Li's research contributions include advances in machine learning applications for battery management, energy storage optimization, and signal processing techniques. Their investigations frequently incorporate deep learning methodologies to solve complex engineering challenges related to energy systems and electronic signal interference.
Kailong Liu;Kang Li;Qiao Peng;Cheng Zhang
Zhenghai Liao;Shen Zhang;Kang Li;Guoqiang Zhang
Qun Niu;Letian Zhang;Kang Li
X. Hong;R. J. Mitchell;S. Chen;C. J. Harris
Kang Li;Jian-Xun Peng;G.W. Irwin
Jun Cao;Dan Harrold;Zhong Fan;Thomas Morstyn
Qun Niu;Hongyun Zhang;Kang Li
Haibo He;Sheng Chen;Kang Li;Xin Xu
Zhile Yang;Kang Li;Aoife Foley
Kailong Liu;Changfu Zou;Kang Li;Torsten Wik
Yihuan Li;Kang Li;Xuan Liu;Yanxia Wang
Kang Li;Jian-Xun Peng;Er-Wei Bai
Jair Cervantes;Xiaoou Li;Wen Yu;Kang Li
Cheng Zhang;Kang Li;Jing Deng
Juan Yan;Kang Li;Er-Wei Bai;Jing Deng
De-Shuang Huang;Kang Li;George William Irwin
Xiandong Xu;Xiaolong Jin;Hongjie Jia;Xiaodan Yu
Cheng Zhang;Kang Li;Jing Deng;Shiji Song
Er-Wei Bai;Kang Li
Jian-Xun Peng;Kang Li;De-Shuang Huang
Xiaopeng Tang;Kailong Liu;Kang Li;Widanalage Dhammika Widanage
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