论文成果

Content

[2025] [2024] [2023] [Early]

2025

2024

  1. Liu, Yunan, Chunpeng Wang, Mingyu Lu, Jian Yang, Jie Gui, and Shanshan Zhang From Simple to Complex Scenes: Learning Robust Feature Representations for Accurate Human Parsing IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).
  2. Zhang, Kaiyu, Guoming Sang, Junkai Cheng, Zhi Liu, and Yijia Zhang. Negative sampling strategy based on multi-hop neighbors for graph representation learning Expert Systems with Applications 263 (2025): 125688.
  3. Li, Zeqian, Yijia Zhang, and Peixuan Zhou. Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning IEEE/ACM Transactions on Computational Biology and Bioinformatics
  4. Jin, Sichen, Yijia Zhang, Huimin Yu, and Mingyu Lu. SADR: self-supervised graph learning with adaptive denoising for drug repositioning IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024).
  5. Wang, Simiao, Chunpeng Wang, Chaoyi Shi, Yunan Liu, and Mingyu Lu. Mask-Guided Mamba Fusion for Drone-based Visible-Infrared Vehicle Detection IEEE Transactions on Geoscience and Remote Sensing (2024).
  6. Wang, Simiao, Yu Sang, Yunan Liu, Chunpeng Wang, Mingyu Lu, and Jinguang Sun. Prior based Pyramid Residual Clique Network for human body image super-resolution Pattern Recognition 150 (2024): 110352.
  7. Pang, Kuo, Chao Fu, Luis Martínez, Jun Liu, Li Zou, and Mingyu Lu. An extended multi-expert concept lattice-based heterogeneous multi-attribute group decision-making approach Information Sciences 665 (2024): 120345.
  8. Wang, Xingang, Mengyi Wang, Hai Cui, and Yijia Zhang. A dual-channel multimodal sentiment analysis framework based on three-way decision Engineering Applications of Artificial Intelligence 137 (2024): 109174.
  9. Cheng, Junkai, Yijia Zhang, Hengyi Zhang, Shaoxiong Ji, and Mingyu Lu. TransFOL: A Logical Query Model for Complex Relational Reasoning in Drug-Drug Interaction IEEE Journal of Biomedical and Health Informatics
  10. Li, Zeqian, Shilong Wang, Hai Cui, Xiaoxia Liu, and Yijia Zhang. Spatiotemporal constrained RNA–protein heterogeneous network for protein complex identification Briefings in Bioinformatics 25, no. 4 (2024).
  11. Zhang, Fuxi, Guoming Sang, Zhi Liu, Hongfei Lin, and Yijia Zhang. A doctor’s diagnosis experience enhanced transformer model for automatic diagnosis Engineering Applications of Artificial Intelligence 134 (2024): 108675.
  12. Liu, Guan-Tong, Yi-Jia Zhang, Chun-Ling Wang, Ming-Yu Lu, and Huan-Ling Tang. Comparative learning based stance agreement detection framework for multi-target stance detection Engineering Applications of Artificial Intelligence 133 (2024): 108515.
  13. Wang, Chunling, Yijia Zhang, and Shilong Wang. A meta-contrastive learning with data augmentation framework for zero-shot stance detection Expert Systems with Applications 250 (2024): 123956.
  14. Ping, Zhichao, Guoming Sang, Zhi Liu, and Yijia Zhang. Aspect category sentiment analysis based on prompt-based learning with attention mechanism Neurocomputing 565 (2024): 126994.
  15. Zhang, Jing, Zhi Liu, Yaohua Pan, Hongfei Lin, and Yijia Zhang. IMAEN: An interpretable molecular augmentation model for drug–target interaction prediction Expert Systems with Applications 238 (2024): 121882.
  16. Lang, Wangyu, Zhi Liu, and Yijia Zhang. DACG: Dual Attention and Context Guidance model for radiology report generation Medical Image Analysis 99 (2025): 103377.
  17. Liu, Yunan, Simiao Wang, Chunpeng Wang, Mingyu Lu, and Yu Sang. Latent domain knowledge distillation for nighttime semantic segmentatio Engineering Applications of Artificial Intelligence 132 (2024): 107940.
  18. Pang, Kuo, Luis Martínez, Nan Li, Jun Liu, Li Zou, and Mingyu Lu. A concept lattice-based expert opinion aggregation method for multi-attribute group decision-making with linguistic information Expert Systems with Applications 237 (2024): 121485.
  19. Pan, Xianwei, Simiao Wang, Yunan Liu, Lijie Wen, and Mingyu Lu. iPCa-Former: A Multi-Task Transformer Framework for Perceiving Incidental Prostate Cancer IEEE Signal Processing Letters (2024).

2023

  1. Pan, Yaohua, Yijia Zhang, Jing Zhang, and Mingyu Lu. CSDTI: an interpretable cross-attention network with GNN-based drug molecule aggregation for drug-target interaction prediction Applied Intelligence 53, no. 22 (2023): 27177-27190.
  2. Hou, Xiaodi, Guoming Sang, Zhi Liu, Xiaobo Li, and Yijia Zhang. Radiology Report Generation via Visual Recalibration and Context Gating-Aware International Symposium on Bioinformatics Research and Applications, pp. 107-119. Singapore: Springer Nature Singapore, 2023.
  3. Di, Yide, Yun Liao, Hao Zhou, Kaijun Zhu, Yijia Zhang, Qing Duan, Junhui Liu, and Mingyu Lu. FeMIP: detector-free feature matching for multimodal images with policy gradient Applied Intelligence 53, no. 20 (2023): 24068-24088.
  4. Tian, Yankai, Yijia Zhang, Xingwang Li, and Mingyu Lu. DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 192-203. Cham: Springer Nature Switzerland, 2023.

Early

  1. Zhou, Peixuan, Yijia Zhang, Fei Chen, Mingyu Lu, Wen Qu, Hongfei Lin, and Xiaoxia Liu. Contrastive Self-Supervised Representation Learning for Protein Complexes Identification IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023, 39(8): btd496.
  2. Li, Xingwang, Yijia Zhang, Jian Wang, Mingyu Lu, and Hongfei Lin. Gaussian-Enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations International Symposium on Bioinformatics Research and Applications, pp. 477-482. IEEE, 2022.
  3. Liu, Da, Yijia Zhang, Ming Yang, Fei Chen, and Mingyu Lu. Gaussian-Enhanced Representation Model for Extracting Protein-Protein Interactions Affected by Mutations International Symposium on Bioinformatics Research and Applications, pp. 303-314. Cham: Springer Nature Switzerland, 2022.
  4. Li, Xiaobo, Yijia Zhang, Xingwang Li, Jian Wang, and Mingyu Lu. Nidn: Medical code assignment via note-code interaction denoising network International Symposium on Bioinformatics Research and Applications, pp. 62-74. Cham: Springer Nature Switzerland, 2022.
  5. Zhou, Peixuan, Yijia Zhang, Fei Chen, Kuo Pang, and Mingyu Lu. Heterogeneous PPI network representation learning for protein complex identification. International Symposium on Bioinformatics Research and Applications, pp. 217-228. Cham: Springer Nature Switzerland, 2022.