CMLP-Net: A convolution-multilayer perceptron network for EEG-based emotion recognition
K Lu, Z Gu, F Qi, C Sun, H Guo, L Sun - Biomedical Signal Processing and …, 2024 - Elsevier
Deep learning has demonstrated remarkable performance in emotion recognition tasks
based on Electroencephalogram (EEG) signals. The utilization of the spatial and temporal …
based on Electroencephalogram (EEG) signals. The utilization of the spatial and temporal …
Multicenter randomized double-blind phase III trial of donafenib in progressive radioactive iodine-refractory differentiated thyroid cancer
…, Z Chen, Y Cui, J Tan, Z Gao, S Jing, K Lu… - Clinical Cancer …, 2023 - aacrjournals.org
… The patients enrolled in this study met the following key criteria: (i) age 18 years or older, (ii)
locally advanced or metastatic RAIR-DTC (confirmed by histologic type: papillary, follicular, …
locally advanced or metastatic RAIR-DTC (confirmed by histologic type: papillary, follicular, …
Decreased autophagy in rat heart induced by anti-β1-adrenergic receptor autoantibodies contributes to the decline in mitochondrial membrane potential
L Wang, K Lu, H Hao, X Li, J Wang, K Wang, J Wang… - PloS one, 2013 - journals.plos.org
It has been recognized that changes in mitochondrial structure plays a key role in
development of cardiac dysfunction, and autophagy has been shown to exert maintenance of …
development of cardiac dysfunction, and autophagy has been shown to exert maintenance of …
Solid-liquid equilibrium solubility, modeling, Hansen solubility parameter and thermodynamic analysis of 2-Mercaptobenzimidazole in eleven mono-solvents and …
P Zhang, K Lu, H Sun, C Jin, R Feng, J Deng, J Sun… - Fluid Phase …, 2024 - Elsevier
The solubility of drugs is an important physicochemical data for its development and design.
In this work, the solubility of 2-mercaptobenzimidazole (2-MBI) in eleven mono-solvent …
In this work, the solubility of 2-mercaptobenzimidazole (2-MBI) in eleven mono-solvent …
eLIMS: Ensemble Learning-Based Spatial Segmentation of Mass Spectrometry Imaging to Explore Metabolic Heterogeneity
Spatial segmentation is an essential processing method for image analysis aiming to identify
the characteristic suborgans or microregions from mass spectrometry imaging (MSI) data, …
the characteristic suborgans or microregions from mass spectrometry imaging (MSI) data, …
A parallel-hierarchical neural network (PHNN) for motor imagery EEG signal classification
K Lu, H Guo, Z Gu, F Qi, S Kuang, L Sun - Biomedical Signal Processing …, 2024 - Elsevier
Motor imagery brain-computer interfaces (MI-BCIs) play a crucial role in fields such as robot
control and stroke rehabilitation. With the flourishing development of deep learning, there …
control and stroke rehabilitation. With the flourishing development of deep learning, there …
Measuring the privacy leakage via graph reconstruction attacks on simplicial neural networks (student abstract)
In this paper, we measure the privacy leakage via studying whether graph representations
can be inverted to recover the graph used to generate them via graph reconstruction attack (…
can be inverted to recover the graph used to generate them via graph reconstruction attack (…
[HTML][HTML] Carnosic acid ameliorates postinflammatory hyperpigmentation by inhibiting inflammatory reaction and melanin deposition
H Su, F Yang, K Lu, J Ma, G Huo, S Li, J Li - Biomedicine & …, 2024 - Elsevier
The potential therapeutic effects of carnosic acid (CA) on postinflammatory hyperpigmentation
(PIH) were evaluated, including its effects on melanin deposition in zebrafish, …
(PIH) were evaluated, including its effects on melanin deposition in zebrafish, …
Pristimerin ameliorates colitis‑induced intestinal mucosal injury by inhibiting intestinal epithelial necroptosis
S Liu, Y Wang, K Lu, Y Shi… - Molecular Medicine …, 2025 - spandidos-publications.com
Ulcerative colitis (UC) is a non-specific inflammatory bowel disease characterized by
inflammation of the colonic and rectal mucosa and submucosa and has a globally increasing …
inflammation of the colonic and rectal mucosa and submucosa and has a globally increasing …
Channel-distribution hybrid deep learning for sEMG-based gesture recognition
K Lu, H Guo, F Qi, P Gong, Z Gu, L Sun… - … on Robotics and …, 2022 - ieeexplore.ieee.org
In recent years, CNNs (Convolutional Neural Networks) with their powerful feature representation
and feature learning capabilities, have played an important role in gesture recognition …
and feature learning capabilities, have played an important role in gesture recognition …