个人主页
点击链接
金宝搏体育官网出任世界杯官方合作伙伴
I am an Associate Professor of Computer Science at Shenyang Aerospace University. Prior to this role, I completed my postdoctoral research under the guidance of Prof. Shaogang Gong at Queen
Mary University of London in 2007. I earned my Ph.D. in Computer Science from the University of York, UK in 2006, where I was supervised by Prof. Edwin Hancock (In Memoriam).
I am the founder and CEO of Shenyang Tymo Technology Co., Ltd. (abbreviated as Tymo Tech). Established in 2007 and I am also the CTO at Shenyang P.T. Security Technology Co., Ltd. (abbreviated as PTS).
Research Interests: Reinforcement Learning, Graph Theory, Computer Vision
邮件：20220071@email.sau.edu.cn
Publications
You can also find my publications on my Google Scholar profile.
1. Cuiwei Liu, Shiting Peng, Shishen Li, Huaijun Qiu, Yuhao Xia, Zhaokui Li, Liang Zhao, “A Novel EAGLe Framework for Robust UAV-View Geo-Localization,” In IEEE Trans. Geosci. Remote. Sens., 63: 1-17 (2025).
2. Cuiwei Liu, Siang Xu, Huaijun Qiu, and Jing Zhang, Zhi Liu, and Liang Zhao, “Few-Shot Class- Incremental Learning with Non-IID Decentralized Data”, IEEE Internet of Things Journal, 2025.
3. Cuiwei Liu, Shengyu Liu, Huaijun Qiu, Zhaokui Li， “Adaptive Part-Level Embedding GCN:
Toward Robust Skeleton-Based One-Shot Action Recognition,” In IEEE Trans. Instrum. Meas., 74: 1-13 (2025).
4. Liang Zhu, Huaijun Qiu, Zhuo Yan, Cuiwei Liu, “Instance-Specific Learning for Skeleton-Based Action Recognition with Varying Data Quality”, The International Joint Conference on Neural Networks (IJCNN), 2025.
5. Siang Xu, Huaijun Qiu, Zhuo Yan, Cuiwei Liu, “Bias Mitigation in Federated Few-Shot Class- Incremental Learning via Multi-Prototype Collaboration”, The International Joint Conference on Neural Networks (IJCNN), 2025.
1. Cuiwei Liu, Shishen Li, Chong Du, Huaijun Qiu, “Adaptive Global Embedding Learning: A Two- Stage Framework for UAV-View Geo-Localization,” In IEEE Signal Process. Lett., 31: 1239-1243 (2024).
2. Zhengchao Wang, Cuiwei Liu, Yue Han, Chen Liang, Huaijun Qiu, “Spatio-Temporal Graph
Learning for Enhanced Agent Collaboration in Multi-Aircraft Combat,” In IJCNN 2024, pp. 1-8.
3. Shengyu Liu, Cuiwei Liu, and Huaijun Qiu, “Enhancing One-Shot Action Recognition from Occluded Skeletons with a Spatial-Temporal Denoising AutoEncoder”, The 39th Youth Academic Annual Conference of Chinese Association of Automation, 2024.
4. Cuiwei Liu, Jiahao Liu, Huaijun Qiu, Zhaokui Li, Xiangbin Shi, “View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization,” International Conference on Knowledge Science, Engineering and Management (2024).
1. Cuiwei Liu, Jiahao Liu, Huaijun Qiu, Zhaokui Li, Xiangbin Shi, “View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization,” In KSEM (2), 2023: 237- 248.
2. Shishen Li, Cuiwei Liu, Huaijun Qiu, Zhaokui Li, “A Transformer-Based Adaptive Semantic Aggregation Method for UAV Visual Geo-Localization,” In PRCV (4), 2023: 465-477.
Honors and Intellectual Properties
Honors
Third Prize for Technological Advancement
“Hundred, Thousand, and Ten Thousand” Talent Program
Excellent Patent Award
Patents
Method for Calculating Geographical Coordinates of Automatic Firefighting Cannon Targets Based on Camera Positioning
Method for Calculating Flow Compensation Angle of Automatic Firefighting Cannon
Motion Prediction Method Based on Multitask Random Forest
Fall Detection Method Based on Elderly Care Robot Platform
Flow Counting System and Method with Personnel Differentiation Functions Based on Wireless Networks
3D Flow Counter
Dual-Band Embedded Flame Detection Device
Fundings
Development of a high-performance AI-based flame detection system
Amount: 100,000 CNY Year: 2025
Research and Implementation of Drone Geolocation Based on Domestic Embedded Platforms
Amount: 30,000 CNY Year: 2023
Teaching
Spring 2026: Principles and Applications of Microcontroller C
Spring 2025: Principles and Applications of Microcontroller C
