SNUNet-CD: A densely connected Siamese network for change detection of VHR images

S Fang, K Li, J Shao, Z Li - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Change detection is an important task in remote sensing (RS) image analysis. It is widely
used in natural disaster monitoring and assessment, land resource planning, and other fields. …

Plastic film mulching for water-efficient agricultural applications and degradable films materials development research

…, DC Chi, WZ Meng, ZY Hou, W Bai, KY Li - Materials and …, 2015 - Taylor & Francis
The dramatic increase in plastic film mulching in water-efficient agriculture is primarily due
to its versatile nature that has proven to be very beneficial over the last decade in the arid …

[PDF][PDF] Spatiotemporal coordination of transcription preinitiation complex assembly in live cells

…, X Tang, YH Ling, J Wisniewski, G Mizuguchi, KY Li… - Molecular Cell, 2021 - cell.com
Transcription initiation by RNA polymerase II (RNA Pol II) requires preinitiation complex (PIC)
assembly at gene promoters. In the dynamic nucleus, where thousands of promoters are …

Changer: Feature interaction is what you need for change detection

S Fang, K Li, Z Li - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
Change detection is an important tool for long-term Earth observation missions. It takes bi-temporal
images as input and predicts “where” the change has occurred. Different from other …

Preparation of a ternary g-C3N4-CdS/Bi4O5I2 composite photocatalysts with two charge transfer pathways for efficient degradation of acetaminophen under visible …

K Li, J Chen, Y Ao, P Wang - Separation and Purification Technology, 2021 - Elsevier
It is a challenge to explore highly efficient photocatalysts for the degradation of pharmaceutical
contaminant under visible light. In this work, a series of gC 3 N 4 -CdS/Bi 4 O 5 I 2 …

Identification method of vegetable diseases based on transfer learning and attention mechanism

X Zhao, K Li, Y Li, J Ma, L Zhang - Computers and Electronics in Agriculture, 2022 - Elsevier
Artificial Intelligence for disease identification is currently the focus of great research interest.
Nonetheless, the approach has some problems, for example, identification takes a long time…

[HTML][HTML] Fecal microbiota in pouchitis and ulcerative colitis

KY Li, JL Wang, JP Wei, SY Gao… - World Journal of …, 2016 - ncbi.nlm.nih.gov
AIM To investigate the changes in microbiota in feces of patients with ulcerative colitis (UC)
and pouchitis using genomic technology. METHODS Fecal samples were obtained from UC …

Advances in hydrogels based on dynamic covalent bonding and prospects for its biomedical application

J Ye, S Fu, S Zhou, M Li, K Li, W Sun, Y Zhai - European Polymer Journal, 2020 - Elsevier
In the past few decades, hydrogels based on dynamic covalent bonding (DCB) have attracted
extensive attention and exploration with the rapid development of polymer science and life …

Spatial slip rate distribution along the SE Xianshuihe fault, eastern Tibet, and earthquake hazard assessment

…, PH Leloup, H Li, J Pan, A Replumaz, S Wang, K Li… - …, 2021 - Wiley Online Library
The Xianshuihe (XSH) fault in eastern Tibet is one of the most active faults in China, with the
next large earthquake most likely to occur along its SE part, where the fault splits into three …

S²ENet: Spatial–spectral cross-modal enhancement network for classification of hyperspectral and LiDAR data

S Fang, K Li, Z Li - IEEE Geoscience and Remote Sensing …, 2021 - ieeexplore.ieee.org
The effective utilization of multimodal data (eg, hyperspectral and light detection and ranging
(LiDAR) data) has profound implications for further development of the remote sensing (RS…