任建四

个人简历

        任建四，博士，硕士生导师。研究方向聚焦机器学习在图像处理中的应用，涵盖监督/无监督/半监督分类、少样本学习、目标检测、超分辨率重建及多模态融合，同时涉及深度学习与自然语言处理领域；以第一/通讯作者在TOP期刊发表高水平SCI论文10多篇，累计发表SCI期刊论文20多篇；指导的研究生均取得学术成果，并在各项国内外大赛中获奖，多人获得国家奖学金，毕业生全部实现高质量就业。

近年代表性论文

[1] M. Hu, J. Ren*, M. Hu and Z. Li. Cross-Domain Aggregation Frequency Fusion Transformer for Lightweight Image Super-Resolution [J]. PATTERN RECOGNITION, 2025, 171.

[2] M. Shi, J. Ren*. Multi-branch feature transformation cross-domain few-shot learning for hyperspectral image classification [J]. PATTERN RECOGNITION, 2025, 160.

[3] Y. Peng, W. Wu, J. Ren*, X. Yu. Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification [J]. Neural Processing Letters, 2024, 56(2).

[4] M. Shi, J. Ren*. A lightweight denserelation network with attention for hyperspectral image few-shot classification [J]. Engineering Applications of Artificial Intelligence, 2023, 126(C).

[5] J. Wang, J. Ren*, Y. Peng and M. Shi. Spectral Segmentation Multi-scale Feature Extraction Residual Networks for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(17).

[6] Y. Peng, J. Ren*, J. Wang and M. Shi. Spectral-Swin Transformer with Spatial Feature Extraction Enhancement for Hyperspectral Image Classification[J]. Remote Sensing, 2023, 15(10).

[7] J. Wang, W. Wu and J. Ren*. BERT-PG: a two-branch associative feature gated filtering network for aspect sentiment classification[J]. Journal of Intelligent Information Systems, 2023.

[8] J. Ren*, M. Shi, J. Chen, R. Wang and X. Wang. Hyperspectral image classification using multi-level features fusion capsule network with a dense structure[J]. Applied Intelligence, 2023, 53(11).

[9] X. Wang, J. Ren*, R. Wang, W. Wu and J. Chen. Spatial-spectral hyperspectral image classification based on primary and secondary capsule network[J]. J. Appl. Remote Sens, 2021, 15(3).

[10] J. Ren, W. Wu, G. Liu, Z. Chen and R. Wang. Bidirectional Gated Temporal Convolution with Attention for text classification[J]. Neurocomputing, 2021, 455: 265-273.

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