2017.09-2023.03，威尼斯9499登录入口，机械工程，博士

2013.09-2017.06，四川大学，机械设计制造及其自动化，学士

2025.03 至今，威尼斯9499登录入口，威尼斯9499登录入口，助理教授

2023.03-2025.02，威尼斯9499登录入口，威尼斯9499登录入口，博士后

1、人工智能/大模型在医学中交叉

2、机器健康与智能运维

团队致力于探索端-边-云联动的多模态信息智能感知及基于大模型的智能分析方法，实现各类机器人在非受控环境下（医疗、工业等应用场景）的智能决策。

团队欢迎有兴趣的本科、硕士及博士同学加入课题组，一起解决人工智能交叉领域的前沿挑战。

Editorial board：
[1] Scientific Reports, Youth Editorial board member 青年编委

[2] iMeta (IF=33.2), Youth Editorial board member 青年编委

[3] Science合作期刊Biomedical Engineering Frontiers, Youth Editorial board member 青年编委

Reviewers：

IEEE Journal of Biomedical and Health Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Neurocomputing, Biomedical Signal Processing and Control, Applied Intelligence等期刊审稿人

[1] 国家自然科学基金青年项目:面向多源场景的致死性心律失常异构特征建模及早期预测研究，项目负责人，2025-2027

[2] 全国博士后创新人才支持计划:心律失常增量自更新智能诊断及恶性事件早期预警机理研究，项目负责人，2023-2025

[3] 中国博士后科学基金面上项目:融合专家知识的心电信号质量建模及智能诊断方法研究，项目负责人，2023-2025

[4] 国家自然科学基金面上项目: 高压高速微型柱塞泵服役性能退化机理与健康评估预测方法，项目参与人，2025-2028

[5] 威尼斯9499登录入口“交大之星”计划医工交叉研究基金项目:基于消化内镜下共聚焦图像的AI辅助早期胃癌实时诊断系统研发，项目参与人，2024-2026

[6] 国家重点研发计划:基于云平台的便携式老人健康监测系统与应用示范，项目参与人，2019-2022

[7] 上海市卫健委智慧医疗专项研究项目:基于人工智能的心律失常监测与大数据分析，项目参与人，2018-2021

在npj digital medicine (Nature子刊, IF=15.1) , Cell Reports Medicine (Cell子刊, IF=10.6), information fusion (中科院一区Top, IF=15.5)等国内外权威期刊上发表SCI论文46篇

[1] Wei X., Li Z., Tian Y., Wang M., Jin Y.*, Ding W., Liu C. Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram. Expert Systems with Applications, 2026, 298: 129603. (中科院1区Top)

[2] Jin Y., Wang M., Li Z., et al. Unsupervised artificial intelligence model of arrhythmia diagnosis: Improving model performance on different ECG datasets. Biomedical Signal Processing and Control, 2026, 112: 108693. (中科院2区)

[3] Chen T., Wen J., Shen X., Shen J., Deng J., Zhao M., Xu L., Wu C., Yu B., Yang M., Ma M., Wu J., She Y., Zhong Y., Hou L., Jin Y.*, Chen C. Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma. npj Digital Medicine, 2025, 8(1): 69. (Nature子刊)

[4] Wang M., Li Z., Tian Y., Wei X., Jin Y.*, Liu C. BioCross: A cross-modal framework for unified representation of multi-modal biosignals with heterogeneous metadata fusion. Information Fusion, 2025, 123: 103302. (中科院1区Top)

[5] Li Z., Tian Y., Jin Y.*, et al. An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM. Knowledge-Based Systems, 2025, 327(9): 114137. (中科院1区Top)

[6] Wang M., Tian Y., Li Z., Wei X., Jin Y.*, Liu C., Zhao L. Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion. Engineering Applications of Artificial Intelligence, 2025, 160: 111894. (中科院1区Top)

[7] Li Z., Tian Y., Jin Y.*, et al. EDDM: A Novel ECG Denoising Method Using Dual-path Diffusion Model. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 2509815. (中科院2区)

[8] Jin Y., Li Z., Wang M., et al. Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis, Communications Medicine, 2024, 4: 31. (Nature系列期刊)

[9] Jin Y., Li Z., Tian Y., et al. A self-supervised framework for computer-aided arrhythmia diagnosis, Applied Soft Computing, 2024, 164: 112024. (中科院2区Top)

[10] Jin Y., Li Z., Tian Y., et al. A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification, Science China Technological Sciences, 2024, 67(6): 1842-1854. (中科院1区Top)

[11] Jin Y., Qin C., Liu J., et al. A novel deep wavelet convolutional neural network for actual ECG signal denoising, Communications Medicine, Biomedical Signal Processing and Control, 2024, 87: 105480. (中科院2区)

[12] Wei X., Li Z., Tian Y., Wang M., Liu J., Jin Y.*, Ding W. *, Liu C*. Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models. Engineering Applications of Artificial Intelligence, 2024, 136: 108880. (中科院1区Top)

[13] Li Z., Jin Y.*, Tian Y., et al M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion. Engineering Applications of Artificial Intelligence, 2024, 136: 108890. (中科院1区Top)

[14] Qin C.*, Jin Y.*, Zhang Z., et al. Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module. CAAI Transactions on Intelligence Technology, 2023. (中科院1区Top, ESI高被引论文)

[15] Jin Y., Li Z., Qin C., et al. A novel attentional deep neural network-based assessment method for ECG quality. Biomedical Signal Processing and Control, 2023, 79: 104064. (中科院2区, ESI高被引论文)

[16] Jin Y., Qin C., Tao J., et al. An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network. Mechanical Systems and Signal Processing, 2022, 165: 108312. (中科院1区Top)

[17] Jin Y., Liu J., Liu Y., et al. A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2500311. (中科院2区)

[18] Jin Y., Li Z., Liu Y., et al. Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network. Science China Technological Sciences, 2022, 65(11): 2617–2630. (中科院1区Top)

[19] Jin Y., Qin C., Zhang Z., et al. A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions. Science China Technological Sciences, 2022, 65. (中科院1区Top, 中国科学2023年度优秀论文)

[20] Jin Y., Qin C., Liu J., et al. A Novel Incremental and Interactive Method for Actual Heartbeat Classification with Limited Additional Labeled Samples. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 9387357. (中科院2区)

[21] Jin Y., Qin C., Huang Y., et al. Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network. Measurement, 2021, 173: 108500. (中科院2区Top, ESI高被引论文)

[22] Jin Y., Feng Q., Zhang X., et al. Deep domain adversarial residual neural network for sustainable wind turbine cyber-physical system fault diagnosis. Software - Practice and Experience, 2021, 51 (11): 2128-2142.

[23] Jin Y., Qin C., Huang Y., et al. Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. Knowledge-Based Systems, 2020, 193: 105460. (中科院1区Top)

[24] Jin Y., Qin C., Liu J., et al. A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. Knowledge-Based Systems, 2020, 203: 106122. (中科院1区Top)

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