| 2025 | INDIN | Multi-Scale Hierarchical Interaction Transformer for Wind Power Forecasting. | Yuanyuan Gu, Bin Wang, Huaiping Jin, Hao Fang |
| 2025 | INDIN | Time-Frequency Feature Fusion and Graph Convolutional Adversarial Network for Cross-Domain Fault Diagnosis. | Haorui Hu, Huaiping Jin, Sicong Liu, Hao Fang |
| 2025 | INDIN | Graph Feature Learning-Based Virtual Sample Generation and Sample-weighted Soft Sensor Method. | Zhiheng Jiang, Bin Wang, Wangyang Yu, Huaiping Jin |
| 2025 | INDIN | A Cross Working Conditions Fault Diagnosis Method Based on Dual-Weighted Adversarial Multi-source Domain Adaptation. | Yinxuan Liu, Hao Fang, Wangyang Yu, Huaiping Jin |
| 2025 | INDIN | A Deep Learning-Based Predictive Anomaly Detection method for Coal Mine Production Safety. | Pengwu Liu, Yufu Hao, Huaiping Jin, Haining Wang, Shuangliang Tian, Hao Fang |
| 2025 | INDIN | Deep Embedded Clustering Based on Stacked Autoencoder with Jointly Improved Loss for Daily Coal Mine Load. | Junyu Luo, Huaiping Jin, Haining Wang, Shuangliang Tian, Nanjun Li |
| 2025 | INDIN | Weakly Labeled Ovarian Cancer Pathological Image Classification Based on Self-Supervised and Multi-Relational Graph Learning. | Shiqiang Zhang, Zongmei Zhang, Bin Wang, Jiashuo Shi, Huaiping Jin |
| 2025 | INDIN | PGDEC-MIL: Prototype-Guided Deep Embedding Clustering for Ovarian Cancer Subtype Classification. | Youfu Zheng, Haibo Tao, Bin Wang, Jiashuo Shi, Huaiping Jin |