古新宇，女，讲师，硕士生导师
邮件地址：xinyugu at swpu dot edu dot cn

古新宇，图像处理及并行计算研究中心团队成员，英国诺丁汉大学计算机科学博士。主要从事目标检测、弱监督学习及多模态感知等领域研究。近年来作为第一作者发表Expert Systems with Applications、IJCNN等权威期刊及会议3篇，参与多项国家自然科学基金及重点研发计划项目。同时担任Expert Systems with Applications、Symmetry、IJCNN等多个知名期刊和会议审稿人。

团队主页：https:/ippc-lab.github.io/

个人主页：https://gubeyondpixels.github.io/resume/

计算机视觉、目标检测、图像处理、人工智能

[1] Xinyu Gu, Zheng Lu, Jianfeng Ren and Qian Zhang, (2024). Seat Belt Detection Using Gated Bi-LSTM with Part-to-whole Attention on Diagonally Sampled Patches. Expert Systems With Applications. (SCI indexed, JCR Q1, IF=8.5)
[2] Xinyu Gu, Qian Zhang and Zheng Lu, (2022). Weakly Supervised Object Detection with Symmetry Context, Symmetry, 14(9), 1832. (SCI indexed, JCR Q2, IF=2.7)
[3] Xinyu Gu, Chao Gao, Zheng Lu and Tianxiang Cui, (2021). You Get What You Focus on: A Weighting Factor for IoU-based Regression Loss. In 2021 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. (indexed by EI, CCF-C)