Shengchao Chen

34 papers A* 4B 1Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PCF-LLM: scaling LLMs for multimodal understanding of structured scientific data in photonic crystal fiber sensors. Inf. Fusion Shengchao Chen, Geyao Hu, Sufen Ren, Ting Shu
2026	J	`jnl`	Visual and textual spaces both matter: Taming CLIP for non-IID federated medical image classification. Knowl. Based Syst. Lulu Feng, Shengchao Chen
2025	J	`jnl`	An Efficient Bearing Prognostic Approach through Modeling Multiperiodic and Nonperiodic Temporal Patterns. IEEE Trans. Ind. Informatics Shengchao Chen, Guanghua Xu, Tangfei Tao, Sicong Zhang, Kai Zhang, Jiachen Kuang
2025	J	`jnl`	Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels. CoRR Guanjun Wang, Lu Wang, Ning Niu, Qiaoyi Yao, Yixuan Wang, Sufen Ren, Shengchao Chen
2025	J	`jnl`	FeDaL: Federated Dataset Learning for Time Series Foundation Models. CoRR Shengchao Chen, Guodong Long, Jing Jiang
2025	A*	`conf`	Federated Foundation Models on Heterogeneous Time Series. AAAI Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2025	—	`conf`	Federated Intelligence in Web: A Tutorial. WWW (Companion Volume) Peng Yan, Shengchao Chen, Guodong Long
2025	—	`conf`	Restyled, Tuning, and Alignment: Taming VLMs for Federated Non-IID Medical Image Analysis. MICCAI (5) Shengchao Chen, Ting Shu
2025	B	`conf`	Taming Vision-Language Models for Federated Foundation Models on Heterogeneous Medical Imaging Modalities. ICMR Lulu Feng, Shengchao Chen
2024	J	`jnl`	Ensemble learning for retinal disease recognition under limited resources. Medical Biol. Eng. Comput. Jiahao Wang, Hong Peng, Shengchao Chen, Sufen Ren
2024	J	`jnl`	Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis. CoRR Sufen Ren, Yule Hu, Shengchao Chen, Guanjun Wang
2024	J	`jnl`	Federated Foundation Models on Heterogeneous Time Series. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	A*	`conf`	Federated Prompt Learning for Weather Foundation Models on Devices. IJCAI Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework. CoRR Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang
2024	J	`jnl`	Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework. Knowl. Based Syst. Shengchao Chen, Ting Shu, Huan Zhao, Jiahao Wang, Sufen Ren, Lina Yang
2024	J	`jnl`	Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia From Chest X-Ray Images. IEEE J. Biomed. Health Informatics Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue
2024	J	`jnl`	Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources. CoRR Jiahao Wang, Hong Peng, Shengchao Chen, Sufen Ren
2024	A*	`conf`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. NeurIPS Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2024	J	`jnl`	Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
2023	—	`conf`	Evaluation of the Running Status of Ball Bearings Using Ultrasonic Signals. ICMRE Shengchao Chen, Bo Wang, Guanghua Xu, Jiachen Kuang
2023	J	`jnl`	Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. CoRR Shengchao Chen, Guodong Long, Jing Jiang, Dikai Liu, Chengqi Zhang
2023	J	`jnl`	MASK-CNN-Transformer For Real-Time Multi-Label Weather Recognition. CoRR Shengchao Chen, Ting Shu, Huan Zhao, Yuan Yan Tang
2023	J	`jnl`	MASK-CNN-Transformer for real-time multi-label weather recognition. Knowl. Based Syst. Shengchao Chen, Ting Shu, Huan Zhao, Yuan Yan Tang
2023	A*	`conf`	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. IJCAI Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023	J	`jnl`	Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. CoRR Shengchao Chen, Guodong Long, Tao Shen, Jing Jiang
2023	J	`jnl`	Recognition System for Diagnosing Pneumonia and Bronchitis Using Children's Breathing Sounds Based on Transfer Learning. Intell. Autom. Soft Comput. Jianying Shi, Shengchao Chen, Benguo Yu, Yi Ren, Guanjun Wang, Chenyang Xue
2023	J	`jnl`	Spatial-temporal Prompt Learning for Federated Weather Forecasting. CoRR Shengchao Chen, Guodong Long, Tao Shen, Tianyi Zhou, Jing Jiang
2023	J	`jnl`	TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression. CoRR Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen
2023	J	`jnl`	TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression. IEEE Trans. Geosci. Remote. Sens. Shengchao Chen, Ting Shu, Huan Zhao, Guo Zhong, Xunlai Chen
2022	J	`jnl`	CMT: Interpretable Model for Rapid Recognition Pneumonia from Chest X-Ray Images by Fusing Low Complexity Multilevel Attention Mechanism. CoRR Shengchao Chen, Sufen Ren, Guanjun Wang, Mengxing Huang, Chenyang Xue
2022	J	`jnl`	Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. Sensors Jiachen Kuang, Tangfei Tao, Qingqiang Wu, Chengcheng Han, Fan Wei, Shengchao Chen, Wenjie Zhou, Cong Yan, Guanghua Xu
2022	J	`jnl`	Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation. IEEE Trans. Geosci. Remote. Sens. Shengchao Chen, Ting Shu, Huan Zhao, Qilin Wan, Jincan Huang, Cailing Li
2022	J	`jnl`	Semi-Supervised Deep Learning Model for Efficient Computation of Optical Properties of Suspended-Core Fibers. Sensors Gao Wang, Sufen Ren, Shuna Li, Shengchao Chen, Benguo Yu
2017	J	`jnl`	Object proposal on RGB-D images via elastic edge boxes. Neurocomputing Jing Liu, Tongwei Ren, Yuantian Wang, Sheng-hua Zhong, Jia Bei, Shengchao Chen