2017.09-2023.03，上海交通大学，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，上海交通大学，机械与动力工程学院，助理教授

2023.03-2025.02，上海交通大学，机械与动力工程学院，博士后

1、人工智能/大模型在医学中交叉

n  多模态医学信息感知

n  疾病诊断与风险预测

n  动态预警与预后分析

2、机器健康与智能运维

n  智能感知

n  故障诊断

n  健康评估

IEEE Journal of Biomedical and Health Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, IEEE Transactions on Instrumentation and Measurement, Neurocomputing, 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] 上海交通大学“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

[1]. Li Z, Tian Y, Jin Y*, Wang M, Wei X, Liu J, Liu C. EDDM: A Novel ECG Denoising Method Using Dual-path Diffusion Model. IEEE Transactions on Instrumentation and Measurement, pp. 1–1, 2025, doi: 10.1109/TIM.2025.3542875.

[2]. 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.

[3]. Tian Y, Li Z, Jin Y, Wang M, Wei X, Zhao L, Liu Y, Liu J, Liu C. Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG. 2024, Cell Reports Medicine, 5(12): 101875.

[4]. Jin Y, Li Z, Wang M, Liu J, Tian Y, Liu Y, Wei X, Zhao L, Liu C. Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis. 2024, Communications Medicine, 4(1): 31.

[5]. Li Z, Jin Y*, Tian Y, Liu J, Wang M, Wei X, Zhao L, Liu C. 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.

[6]. 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.

[7]. Jin Y, Qin C, Liu J, Liu Y, Li Z, Liu C. A novel deep wavelet convolutional neural network for actual ECG signal denoising. Biomedical Signal Processing and Control, 2024, 87:105480.

[8]. Jin Y, Li Z, Tian Y, Wei X, Liu C. A self-supervised framework for computer-aided arrhythmia diagnosis. Applied Soft Computing, 2024, 164:112024.

[9]. Jin Y, Li Z, Tian Y, Wei X, Liu C. A novel interpretable multilevel wavelet decomposition deep network for actual heartbeat classification. Science China Technological Sciences, 2024, 67:1842-1854.

[10]. Jin Y, Li Z, Qin C, Liu J, Liu Y, Zhao L, Liu C. A novel attentional deep neural network-based assessment method for ECG quality. Biomedical Signal Processing and Control, 2023, 79: 104064.

[11] Qin C, Jin Y*, Zhang Z, Yu H, Tao J, Sun H, Liu C. Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module. CAAI Transactions on Intelligence Technology, 2023.

[12]. Jin Y, Qin C, Zhang Z, Tao J, Liu C. A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions. Science China Technological Sciences, 2022, 65(11): 2551 - 2563.

[13]. Jin Y, Qin C, Tao J, Liu C. 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.

[14]. Jin Y, Li Z, Liu Y, Liu J, Qin C, Zhao L, Liu C. Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network. Science China Technological Sciences, 2022, 65:2617-2630.

[15]. Jin Y, Liu J, Liu Y, Qin C, Li Z, Xiao D, Zhao L, Liu C. 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: 1-11.

[16]. Jin Y, Qin C, Huang Y, Liu C. Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network. Measurement, 2021, 173: 108500.

[17]. Jin Y, Qin C, Liu J, Li Z, Shi H, Lin K, Liu Y, Liu C. A Novel Incremental and Interactive Method for Actual Heartbeat Classification with Limited Additional Labeled Samples. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-12.

[18]. Jin Y, Qin C, Huang Y, Zhao W, Liu C. Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks. Knowledge-Based Systems, 2020, 193: 105460.

[19]. Jin Y, Qin C, Liu J, Lin K, Shi H, Huang Y, Liu C. A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection. Knowledge-Based Systems, 2020, 203: 106122.

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