Xiaoxu Li’s research focuses on thermodynamics and dynamics inherent in solid-liquid interactions. He is currently fascinated by the nonclassical nucleation, growth, and dissolution by using edge-cutting technologies to characterize, understand, and model these behaviors.

"Resolving nanoscale processes during carbon mineralization using identical location transmission electron microscopy." Environmental Science & Technology Letters 11, no. 2:79-88. PNNL-SA-190625. doi:10.1021/acs.estlett.3c00699.

2021年5月17日 · Few-shot image classification is a challenging problem that aims to achieve the human level of recognition based only on a small number of training images. One main solution to few-shot image classification is deep metric learning.

Xiaoxu Li received the Ph.D. degree from the Beijing University of Posts and Telecommunications (BUPT) in 2012. She is currently an Associate Professor with the School of Computer and Communication, Lanzhou University of Technology, and is …

Iron (oxyhydr)oxide minerals are ubiquitous in soils and sediments and play an commanding role in nutrient cycling, microbial metabolism, carbon protection, and contaminant immobilization. Among them…

IEEE Transactions on Circuits and Systems for Video Technology 33 (12), 7530 …

2022 International Conference on Digital Image Computing: Techniques and … International Conference on Medical Image Computing and Computer-Assisted …

We built the methods bridging the observations and mechanism of mineral-aqueous interface reactions. By using nonequilibrium thermodynamic analysis we could derive the thermodynamic properties of...

GPU-Based Deep Convolutional Neural Network for Tomographic Phase Microscopy with ℓ 1 Fitting and Regularization.