Wu Qiuxia, is a female Ph.D., associate researcher and master's tutor. She has been engaged in computer vision research, presided over and participated in more than 10 national, provincial and ministerial level projects and published nearly 20 papers in SCI/EI in major international journals and conferences. Her main research areas include video content retrieval, biometric recognition, biomedical image processing, intelligent algorithms and intelligent software.

She is a member of IEEE and secretary of IEEE SMC Guangzhou Chapter. She served as member and secretary general of the second and third sessions of the Complex Systems and Control Symposium in 2015 and 2016 and served as reviewers for IEEE Trans. MM, IEEE Trans. SMC, Neurocomputing, IET IMAGE PROCESSING, IEEE SIGNAL PROCESSING LETTERS and many other international journals.

E-mail:qxwu@scut.edu.cn

Research Direction:Computer vision, biometric recognition, 3D modeling, intelligent perception, embodied intelligence, smart healthcare, etc.

Representative Papers

[1] Qiuxia Wu, Haipeng Deng, Kun Hu, Zhiyong Wang. (2025). Music Source Separation via Hybrid Waveform and Spectrogram Based Generative Adversarial Network. Multim. Tools Appl., 84(31), 37655-37669.

[2] Kunming Su, Qiuxia Wu, Panpan Cai, Xiaogang Zhu, Xuequan Lu, Zhiyong Wang, Kun Hu. (2025). RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning. AAAI, 7015-7023.

[3] Zicheng Wang, Qiuxia Wu. (2025). WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition. AAAI, 8259-8267. 

[4] Qiuxia Wu, Haiyang Huang, Kunming Su, Zhiyong Wang, Kun Hu. (2025). DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization. AAAI, 8441-8449. 

[5] Han Huang, Weiyi Chen, Qiuxia Wu, Huanjun Wang, Qian Cai, Yan Guo. (2025). T2WI-BCMIC: Non-Fat Saturated T2-Weighted Imaging Dataset for Bladder Cancer Muscle Invasion Classification. MICCAI, (13), 573-583.