薛明龙 ， 工学博士，讲师，硕士生导师，CCF会员

2021年博士毕业于南京大学计算机科学与技术系，现工作于重庆理工大学计算机科学与工程学院，现主要从事计算机视觉及模式识别的相关研究。近期研究聚焦在复杂场景感知与图像恢复。发表学术论文30余篇，多个国际期刊和会议审稿人。2023年获重庆理工大学“士继英才”青年拔尖人才。

研究领域：计算机视觉、图像场景理解、图像增强等

Email：xueml@cqut.edu.cn

课题组正在招收有兴趣从事计算机视觉、人工智能、图像与视频数据处理、模式识别与计算机图形学研究及技术开发的学生，可以为学生提供完整的学术训练，良好的学术研究氛围。 招收要求：具有内驱力、勤奋好学。

更多信息请访问课题组学术主页 https://minglongxue.github.io

在研科研项目情况

[1] 四川省科技厅, 个体化智能精准放疗关键技术攻关与应用, 2024-9 至 2025-08，合作单位负责人，主持

[2] 重庆市教委，基于多模态特征融合的复杂场景增强方法研究，2024-10至2027-09，主持

近三年发表论文

[1]    Aoxiang Ning, Minglong Xue*, Wei Yiting, Mingliang Zhou and Senming Zhong, “ Artistic-style text detector and a new Movie-Poster dataset”. Expert Systems with Applications, 2025, 261: 125544.(SCI一区，通信作者)

[2]    Jinhong He, Palaiahnakote Shivakumara, Aoxiang Ning and Minglong Xue*. Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion. IEEE Signal Processing Letters, 2025(SCI二区, 通信作者)

[3]    Aoxiang Ning, Minglong Xue*, Jinhong He and Chengyun Song. KAN see in the dark. IEEE Signal Processing Letters, 2025(SCI二区，通信作者)

[4]    Shuaibin Fan, Minglong Xue*, Aoxiang Ning and Senming Zhong. Addressing domain discrepancy: A dual-branch collaborative model to unsupervised dehazing. Pattern Recognition Letters, 2025, 189:159-256. (SCI三区，通信作者)

[5]    Yanyi He, Jinhong He, Minglong Xue* et al. Hybrid-Domain Attention Dense Networ For Efficient Image Super-Resolution. International Journal of Pattern Recognition and Artificial Intelligence, 2025. (SCI四区，通信作者)

[6]    Jinhong He, Minglong Xue*, Aoxiang Ning and Chengyun Song. Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement. Asian Conference on Machine Learning. PMLR, 2025: 1160-1175. (EI, CCF-C国际会议, Oral, 通信作者)

[7]    Minglong Xue, Yanyi He, Jinhong He and Senming Zhong*. Dldiff: Image detail-guided latent diffusion model for low-light image enhancement. IEEE Signal Processing Letters, 2024. (SCI二区)

[8]    Peiqi Xie, Jinhong He, Chengyun Song and Minglong Xue*. A Novel Encoder-Decoder Network with Multi-domain Information Fusion for Video Deblurring. International Conference on Pattern Recognition. 2024: 152-166. (EI, CCF-C国际会议, 通信作者)

[9]    Minglong Xue, Yanyi He, Peiqi Xie, et al. LAE-GAN: a novel cloud-based Low-light Attention Enhancement Generative Adversarial Network for unpaired text images. Journal of Cloud Computing, 12(160), 2023 (SCI三区)

[10] Minglong Xue, Zhengyang He et al. UT-GAN: A Novel Unpaired Textual-Attention Generative Adversarial Network for Low-Light Text Image Enhancement, International Conference on Image Processing (ICIP). 2023: 1980-1984. (EI, CCF-C国际会议)