User profiles for Yuxuan Zhao

Yuxuan Zhao - Verified email at tsinghua.edu.cn - Cited by 718
Yuxuan Zhao - Verified email at ia.ac.cn - Cited by 356
Yuxuan Zhao - Verified email at stu.xjtu.edu.cn - Cited by 313

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 …

A model predictive control based generator start-up optimization strategy for restoration with microgrids as black-start resources

Y Zhao, Z Lin, Y Ding, Y Liu, L Sun… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

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 …

Data-driven event detection of power systems based on unequal-interval reduction of PMU data and local outlier factor

S Liu, Y Zhao, Z Lin, Y Liu, Y Ding… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

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 …

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 …

A robust microgrid formation strategy for resilience enhancement of hydrogen penetrated active distribution networks

Y Zhao, J Lin, Y Song, Y Xu - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
With the increasing penetration of hydrogen energy into energy systems, active distribution
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 …

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 …

Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging

R Chen, X Tang, Y Zhao, Z Shen, M Zhang… - Nature …, 2023 - nature.com
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 …