About me
Hi, I am an algorithm engineer (2024.06-) in CRRC. Previously, I was an algorithm engineer (2022.09-2024.03) in JD.Com. Prior to JD.Com, I received my D.Phil degree (2017.09-2022.09) in National Laboratotry of Pattern Recognition(NLPR), Institute of Automation, Chinese Academy of Sciences(CASIA), under the supervision of Qiulei Dong. Prior to CASIA, I obtained my B.Eng degree (2013.09-2017.06) in communication engineering from Huazhong University of Science and Technolog. Here is my CV.
My current research interests generally focus on:
- Point Cloud Perception;
- Multi-View Perception;
- Multi-View Geometry;
- Image Perception;
- Cutting and Packing Problems.
News
- [2025/09/01] One paper is accepted in IEEE Transactions on Multimedia (TMM).
- [2024/06/11] One paper is accepted in IEEE Transactions on Image Processing (TIP).
- [2022/02/01] One paper is accepted in IEEE International Conference on Robotics and Automation (ICRA).
- [2021/05/16] One paper is accepted in IEEE Signal Processing Letters (SPL).
- [2021/05/11] One patent is accepted.
- [2021/03/06] One paper is accepted in IEEE International Conference on Multimedia and Expo (ICME).
- [2020/12/25] One chinese paper is accepted in Aerospace Control and Application (空间控制技术与应用, ACA).
Recent research

Towards Semi-supervised Dual-modal Semantic Segmentation
Qiulei Dong, Jianan Li, Shuang Deng
Accepted by IEEE Transactions on Multimedia (TMM), 2025. (中科院-I)
[PDF]

Cayley Rotation Averaging: Multiple Camera Averaging Under the Cayley Framework
Qiulei Dong, Shuang Deng, Yuzhen Liu
Accepted by IEEE Transactions on Image Processing (TIP), 2024. (中科院-I)
[PDF]

Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds
Shuang Deng, Qiulei Dong, Bo Liu, Zhanyi Hu
Accepted by IEEE International Conference on Robotics and Automation (ICRA), 2022. (CCF-B, AR=43%)
[PDF] [Code]

GA-NET: Global Attention Network for Point Cloud Semantic Segmentation
Shuang Deng, Qiulei Dong
Accepted by IEEE Signal Processing Letters (SPL), 2021. (中科院-II)
[PDF] [Code]

Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu
Accepted by IEEE International Conference on Multimedia and Expo (ICME), 2021. (CCF-B, AR=30%)
[PDF] [Code]

一种基于双目视觉的卫星相对位姿测量方法
邓爽, 王波, 董秋雷
Accepted by Aerospace Control and Application (空间控制技术与应用, ACA), 2020. (中文核心)
[PDF]