User profiles for Yuxuan Zhao
Defrcn: Decoupled faster r-cnn for few-shot object detection
L Qiao, Y Zhao, Z Li, X Qiu, J Wu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Few-shot object detection, which aims at detecting novel objects rapidly from extremely few
annotated examples of previously unseen classes, has attracted significant research interest …
annotated examples of previously unseen classes, has attracted significant research interest …
A model predictive control based generator start-up optimization strategy for restoration with microgrids as black-start resources
Microgrids (MGs) can operate in an islanded mode and serve as black-start resources for
power system restoration (PSR). In this work, a model predictive control (MPC) based …
power system restoration (PSR). In this work, a model predictive control (MPC) based …
Isotropic super-resolution light-sheet microscopy of dynamic intracellular structures at subsecond timescales
Y Zhao, M Zhang, W Zhang, Y Zhou, L Chen, Q Liu… - Nature …, 2022 - nature.com
Long-term visualization of the dynamic interactions between intracellular structures throughout
the three-dimensional space of whole live cells is essential to better understand their …
the three-dimensional space of whole live cells is essential to better understand their …
Data-driven event detection of power systems based on unequal-interval reduction of PMU data and local outlier factor
With the deployment of phasor measurement units (PMU) and wide area measurement system
(WAMS), it is feasible to have an insight into the events occurred in power systems based …
(WAMS), it is feasible to have an insight into the events occurred in power systems based …
A 3D convolutional neural network for emotion recognition based on EEG signals
Y Zhao, J Yang, J Lin, D Yu… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
As an important field of research in Human-Machine Interactions, emotion recognition
based on the electroencephalography (EEG) signals has become common research. The …
based on the electroencephalography (EEG) signals has become common research. The …
Transformer for one stop interpretable cell type annotation
J Chen, H Xu, W Tao, Z Chen, Y Zhao… - Nature …, 2023 - nature.com
Consistent annotation transfer from reference dataset to query dataset is fundamental to the
development and reproducibility of single-cell research. Compared with traditional …
development and reproducibility of single-cell research. Compared with traditional …
A robust microgrid formation strategy for resilience enhancement of hydrogen penetrated active distribution networks
With the increasing penetration of hydrogen energy into energy systems, active distribution
networks (ADNs) can operate more flexibly and resiliently. Under extreme events, the …
networks (ADNs) can operate more flexibly and resiliently. Under extreme events, the …
DNA framework signal amplification platform-based high-throughput systemic immune monitoring
…, B Zhang, Y Zhang, S Li, Z Liu, Y Gao, Y Zhao… - … and Targeted Therapy, 2024 - nature.com
Systemic immune monitoring is a crucial clinical tool for disease early diagnosis, prognosis
and treatment planning by quantitative analysis of immune cells. However, conventional …
and treatment planning by quantitative analysis of immune cells. However, conventional …
Effects of puerarin‐loaded tetrahedral framework nucleic acids on osteonecrosis of the femoral head
Y Zhao, S Li, M Feng, M Zhang, Z Liu, Y Yao, T Zhang… - Small, 2023 - Wiley Online Library
Osteonecrosis of the femoral head (ONFH) is recognized as a common refractory orthopedic
disease that causes severe pain and poor quality of life in patients. Puerarin (Pue), a …
disease that causes severe pain and poor quality of life in patients. Puerarin (Pue), a …
Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging
Single-molecule localization microscopy (SMLM) can be used to resolve subcellular structures
and achieve a tenfold improvement in spatial resolution compared to that obtained by …
and achieve a tenfold improvement in spatial resolution compared to that obtained by …