一、教育经历

2013.9-2020.7 西南交通大学 计算机科学与技术 博士

2015.11-2017.11 美国乔治梅森大学 计算机科学与技术 联合培养博士研究生

2010.9-2013.6 西南交通大学 交通信息工程及控制 硕士

2005.9-2009.6 西南交通大学 计算机科学与技术 学士

二、工作经历

2022.12-今 深圳技术大学 大数据与互联网学院 助理教授

2020.11-2022.12 南方科技大学 计算机信息与工程系 博士后

三、主要研究领域

计算机视觉、图像处理、3D点云

四、主要成果及荣誉

1. Qing Li, Xiaojiang Peng, Yu Qiao, Qi Hao. Unsupervised person re-identification with multi-label learning guided self-paced clustering. Pattern Recognition, 2022, 125: 108521.

2. Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng. Learning Label Correlations for Multi-Label Image Recognition with Graph Networks. Accepted, Pattern Recognition Letters,2020.

3. Qing Li, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao, Qiang Peng. Product Image Recognition with Guidance Learning and Noisy Supervision. Computer Vision and Image Understanding. 2020: 102963.

4. Qing Li, Qiang Peng, and Chuan Yan. Multiple VLAD encoding of CNNs for image classification. Computing in Science & Engineering. 20.2 (2018): 52-63.

5. Kang You, Pan Gao, Qing Li. IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression. Proceedings of the 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis. 2022: 1-10.

6. Xiaojiang Peng, KaiWang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao. Suppressing Mislabeled Data via Grouping and Self-Attention. European Conference on Computer Vision, 2020.

E-mail: liqing@sztu.edu.cn