Shengchao Chen

According to our database, Shengchao Chen authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ensemble learning for retinal disease recognition under limited resources.

Jiahao Wang, Hong Peng, Shengchao Chen, Sufen Ren

Medical Biol. Eng. Comput., September, 2024

Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images.

Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue

IEEE J. Biomed. Health Informatics, February, 2024

Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework.

Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang

Knowl. Based Syst., 2024

Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis.

Sufen Ren, Yule Hu, Shengchao Chen, Guanjun Wang

CoRR, 2024

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models.

Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

CoRR, 2024

Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources.

Jiahao Wang, Hong Peng, Shengchao Chen, Sufen Ren

CoRR, 2024

Federated Prompt Learning for Weather Foundation Models on Devices.

Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

MASK-CNN-Transformer for real-time multi-label weather recognition.

Shengchao Chen, Ting Shu, Huan Zhao, Yuan Yan Tang

Knowl. Based Syst., October, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression.

Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey.

Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang

CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.

Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang

CoRR, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression.

Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen

CoRR, 2023

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.

Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Evaluation of the Running Status of Ball Bearings Using Ultrasonic Signals.

Shengchao Chen, Bo Wang, Guanghua Xu, Jiachen Kuang

Proceedings of the 9th International Conference on Mechatronics and Robotics Engineering, 2023

2022

Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation.

Shengchao Chen, Ting Shu, Huan Zhao, Qilin Wan, Jincan Huang, Cailing Li

IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Deep Learning Model for Efficient Computation of Optical Properties of Suspended-Core Fibers.

Gao Wang, Sufen Ren, Shuna Li, Shengchao Chen, Benguo Yu

Sensors, 2022

Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions.

Jiachen Kuang, Tangfei Tao, Qingqiang Wu, Chengcheng Han, Fan Wei, Shengchao Chen, Wenjie Zhou, Cong Yan, Guanghua Xu

Sensors, 2022

CMT: Interpretable Model for Rapid Recognition Pneumonia from Chest X-Ray Images by Fusing Low Complexity Multilevel Attention Mechanism.

Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue

CoRR, 2022

2017

Object proposal on RGB-D images via elastic edge boxes.

Jing Liu, Tongwei Ren, Yuantian Wang, Sheng-hua Zhong, Jia Bei, Shengchao Chen

Neurocomputing, 2017