J
Jianxin Li
Researcher at Tianjin Polytechnic University
Publications - 568
Citations - 16133
Jianxin Li is an academic researcher from Tianjin Polytechnic University. The author has contributed to research in topics: Membrane & Computer science. The author has an hindex of 50, co-authored 446 publications receiving 9715 citations. Previous affiliations of Jianxin Li include Chinese Academy of Sciences & Chinese Ministry of Education.
Papers
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Journal ArticleDOI
A mini-review on membrane fouling
TL;DR: This mini-review paper identifies the major foulants and the principal membrane fouling mechanisms such as pore blocking, cake formation, concentration polarization, organic adsorption, inorganic precipitation and biological fouling.
Posted Content
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
TL;DR: An efficient transformer-based model for LSTF, named Informer, with three distinctive characteristics: a self-attention mechanism, which achieves $O(L \log L)$ in time complexity and memory usage, and has comparable performance on sequences' dependency alignment.
Proceedings Article
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
TL;DR: Informer as discussed by the authors proposes a probSparse self-attention mechanism, which achieves O(L log L) in time complexity and memory usage, and has comparable performance on sequences' dependency alignment.
Journal ArticleDOI
Magnetic field alignment of stable proton-conducting channels in an electrolyte membrane.
Xin Liu,Yi Li,Jiandang Xue,Weikang Zhu,Junfeng Zhang,Yan Yin,Yan Yin,Yanzhou Qin,Kui Jiao,Qing Du,Bowen Cheng,Xupin Zhuang,Jianxin Li,Michael D. Guiver +13 more
TL;DR: Proton conducting channels orthogonal to the plane of composite proton exchange membranes are aligned using a magnetic field for improved fuel cell performance and durability.
Proceedings ArticleDOI
EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments
TL;DR: In EnaCloud, a novel approach is proposed, which enables application live placement dynamically with consideration of energy efficiency in a cloud platform, which uses a Virtual Machine to encapsulate the application, and an energy-aware heuristic algorithm is proposed to get an appropriate solution.