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Shengda Luo
Shengda Luo
Southern University of Science and Technology
在 sustech.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
An investigation on the factors affecting machine learning classifications in -ray astronomy
S Luo, AP Leung, CY Hui, KL Li
Monthly Notices of the Royal Astronomical Society 492 (4), 5377–5390, 2020
352020
Imbalance-aware self-supervised learning for 3d radiomic representations
H Li, FF Xue, K Chaitanya, S Luo, I Ezhov, B Wiestler, J Zhang, B Menze
MICCAI'2021, 36-46, 2021
312021
Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing
S Luo, J Xu, Z Jiang, L Liu, Q Wu, ELH Leung, AP Leung
Pharmacological Research 160, 105037, 2020
182020
Searches for pulsar-like candidates from unidentified objects in the Third Catalog of Hard Fermi-LAT Sources with machine learning techniques
CY Hui, J Lee, KL Li, S Kim, K Oh, S Luo, AP Leung, AKH Kong, J Takata, ...
Monthly Notices of the Royal Astronomical Society 495 (1), 1093-1109, 2020
102020
Strip-MLP: Efficient Token Interaction for Vision MLP
G Cao, S Luo, W Huang, X Lan, D Jiang, Y Wang, J Zhang
ICCV'2023, 1494-1504, 2023
72023
Complementary deep and shallow learning with boosting for public transportation safety
S Luo, AP Leung, X Qiu, JYK Chan, H Huang
Sensors 20 (17), 4671, 2020
62020
Gradient-guided Modality Decoupling for Missing-Modality Robustness
H Wang, S Luo, G Hu, J Zhang
AAAI'2024, 2024
32024
A Machine Learning Framework for Road Safety of Smart Public Transportation
S Luo, AP Leung, X Qiu
IJCAI'2019 Workshops (https://aiforgood2019.github.io/accepted), 2019
12019
Improved dictionary learning with enriched information for biomedical images
S Luo, AP Leung
ECCV'2018 Workshops, 375-384, 2018
12018
Bayesian Neural Networks with Covariate Shift Correction For Classification in γ-ray Astrophysics
S Luo, J Luo, Y Chen, S Kim, D Hui, J Zhang, A Leung, R Bugiolacchi
PRCV'2022, 706-719, 2022
2022
Deep Learning Features Through Dictionary Learning with Improved Clustering for Image Classification
S Luo, AP Leung, H Zhang
NeurIPS'2019 Workshops (https://www.sets.parts/accepted-papers), 2019
2019
A novel superpixel approach utilizing depth and temporal cues
S Luo, AP Leung, Y Liang
ICSIPA'2017, 518-523, 2017
2017
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