Shengchao Chen

Orcid: 0000-0001-9992-2264

According to our database1, Shengchao Chen authored at least 33 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Design Skills as Memory Policies for Agentic Photonic Inverse Design.
CoRR, May, 2026

Federated Weather Modeling on Sensor Data.
CoRR, May, 2026

Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach.
CoRR, April, 2026

Discrete Prototypical Memories for Federated Time Series Foundation Models.
CoRR, April, 2026

Visual and textual spaces both matter: Taming CLIP for non-IID federated medical image classification.
Knowl. Based Syst., 2026

PCF-LLM: scaling LLMs for multimodal understanding of structured scientific data in photonic crystal fiber sensors.
Inf. Fusion, 2026

2025
An Efficient Bearing Prognostic Approach through Modeling Multiperiodic and Nonperiodic Temporal Patterns.
IEEE Trans. Ind. Informatics, September, 2025

FeDaL: Federated Dataset Learning for Time Series Foundation Models.
CoRR, August, 2025

Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels.
CoRR, January, 2025

Federated Intelligence in Web: A Tutorial.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Taming Vision-Language Models for Federated Foundation Models on Heterogeneous Medical Imaging Modalities.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Federated Foundation Models on Heterogeneous Time Series.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Ensemble learning for retinal disease recognition under limited resources.
Medical Biol. Eng. Comput., September, 2024

Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, February, 2024

Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework.
Knowl. Based Syst., 2024

Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis.
CoRR, 2024

Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources.
CoRR, 2024

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Federated Prompt Learning for Weather Foundation Models on Devices.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
MASK-CNN-Transformer for real-time multi-label weather recognition.
Knowl. Based Syst., October, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression.
IEEE Trans. Geosci. Remote. Sens., 2023

Recognition System for Diagnosing Pneumonia and Bronchitis Using Children's Breathing Sounds Based on Transfer Learning.
Intell. Autom. Soft Comput., 2023

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey.
CoRR, 2023

Spatial-temporal Prompt Learning for Federated Weather Forecasting.
CoRR, 2023

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression.
CoRR, 2023

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Evaluation of the Running Status of Ball Bearings Using Ultrasonic Signals.
Proceedings of the 9th International Conference on Mechatronics and Robotics Engineering, 2023

2022
Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation.
IEEE Trans. Geosci. Remote. Sens., 2022

Semi-Supervised Deep Learning Model for Efficient Computation of Optical Properties of Suspended-Core Fibers.
Sensors, 2022

Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions.
Sensors, 2022

CMT: Interpretable Model for Rapid Recognition Pneumonia from Chest X-Ray Images by Fusing Low Complexity Multilevel Attention Mechanism.
CoRR, 2022

2017
Object proposal on RGB-D images via elastic edge boxes.
Neurocomputing, 2017


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