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)

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)

Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. - Jiachen Kuang; Tangfei Tao; Qingqiang Wu 002; Chengcheng Han 001; Fan Wei; Shengchao Chen; Wenjie Zhou; Cong Yan; Guanghua Xu (Sensors, 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)

Dynamic Multiscale Fusion Generative Adversarial Network for Radar Image Extrapolation. - Shengchao Chen; Ting Shu; Huan Zhao 004; Qilin Wan; Jincan Huang; Cailing Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Evaluation of the Running Status of Ball Bearings Using Ultrasonic Signals. - Shengchao Chen; Bo Wang; Guanghua Xu; Jiachen Kuang (ICMRE, 2023)

Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data. - Shengchao Chen; Guodong Long; Tao Shen 001; Jing Jiang 002 (IJCAI, 2023)

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regression. - Shengchao Chen; Ting Shu; Huan Zhao 004; Guo Zhong; Xunlai Chen (CoRR, 2023)

Spatial-temporal Prompt Learning for Federated Weather Forecasting. - Shengchao Chen; Guodong Long; Tao Shen 001; Tianyi Zhou 001; Jing Jiang 002 (CoRR, 2023)

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey. - Shengchao Chen; Guodong Long; Jing Jiang 002; Dikai Liu; Chengqi Zhang (CoRR, 2023)

Recognition System for Diagnosing Pneumonia and Bronchitis Using Children's Breathing Sounds Based on Transfer Learning. - Jianying Shi; Shengchao Chen; Benguo Yu; Yi Ren; Guanjun Wang; Chenyang Xue (Intell. Autom. Soft Comput., 2023)

TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Autoregression. - Shengchao Chen; Ting Shu; Huan Zhao 004; Guo Zhong; Xunlai Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

MASK-CNN-Transformer for real-time multi-label weather recognition. - Shengchao Chen; Ting Shu; Huan Zhao 004; Yuan Yan Tang (Knowl. Based Syst., 2023)

Federated Prompt Learning for Weather Foundation Models on Devices. - Shengchao Chen; Guodong Long; Tao Shen 001; Jing Jiang 002; Chengqi Zhang (IJCAI, 2024)

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models. - Shengchao Chen; Guodong Long; Jing Jiang 002; Chengqi Zhang (NeurIPS, 2024)

Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources. - Jiahao Wang; Hong Peng; Shengchao Chen; Sufen Ren (CoRR, 2024)

Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis. - Sufen Ren; Yule Hu; Shengchao Chen; Guanjun Wang (CoRR, 2024)

Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework. - Shengchao Chen; Ting Shu; Huan Zhao 004; Jiahao Wang; Sufen Ren; Lina Yang (Knowl. Based Syst., 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, 2024)

Ensemble learning for retinal disease recognition under limited resources. - Jiahao Wang; Hong Peng; Shengchao Chen; Sufen Ren (Medical Biol. Eng. Comput., 2024)

Federated Foundation Models on Heterogeneous Time Series. - Shengchao Chen; Guodong Long; Jing Jiang 002; Chengqi Zhang (AAAI, 2025)

Taming Vision-Language Models for Federated Foundation Models on Heterogeneous Medical Imaging Modalities. - Lulu Feng; Shengchao Chen (ICMR, 2025)

Federated Intelligence in Web: A Tutorial. - Peng Yan 002; Shengchao Chen; Guodong Long (WWW (Companion Volume), 2025)

Boosting Sclera Segmentation through Semi-supervised Learning with Fewer Labels. - Guanjun Wang; Lu Wang; Ning Niu; Qiaoyi Yao; Yixuan Wang; Sufen Ren; Shengchao Chen (CoRR, 2025)

FeDaL: Federated Dataset Learning for Time Series Foundation Models. - Shengchao Chen; Guodong Long; Jing Jiang 002 (CoRR, 2025)