Curriculum Vitae

Weifeng Ou

Associate Professor
School of Computer Science & Technology
Dongguan University of Technology

📍 Office: 9A-204-11
📧 Email: ouwf@dgut.edu.cn
🌐 Homepage: https://ouwf.github.io/

Research Interests

• Biometrics
• Computer Vision
• Deep Learning

Education

• Ph.D. in Electrical Engineering, City University of Hong Kong, 2018/09 – 2021/10
  Supervisor: Prof. Lai-Man Po
• M.Eng. in Signal & Information Processing, South China University of Technology, 2013/09 – 2016/06
  Supervisor: Prof. Chun-Ling Yang
• B.Eng. in Information Engineering, Guangdong University of Technology, 2009/09 – 2013/06

Academic & Professional Experience

• Associate Professor, Dongguan University of Technology, 2026/03 – present
• Lecturer, Dongguan University of Technology, 2023/03 – 2026/03
• Algorithm Researcher, SenseTime, Hong Kong, 2021/11 – 2023/03

Previous Positions

• Senior Research Assistant, City University of Hong Kong, 2018/06 – 2018/08
• Research Assistant, City University of Hong Kong, 2018/04 – 2018/05
• Software Engineer, Huawei Technologies, Shenzhen, 2016/07 – 2018/03

Teaching

• Deep Learning Frameworks and Applications (Undergraduate), 2026 Spring
• Software Design Patterns (Undergraduate), 2025 Fall
• Introduction to Artificial Intelligence (Undergraduate), 2024 Spring, 2025 Spring
• Data Analysis and Application with Python (Undergraduate), 2024 Fall
• Software Design Methods (Postgraduate), 2023 Fall

Publications

Journal & Conference Papers

1. WF Ou, LM Po, XF Huang, WY Yu, YZ Zhao, “GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification,” IEEE Transactions on Biometrics, Behavior, and Identity Science, 6(2): 230–244, 2024.
2. WF Ou, LM Po, XF Huang, “Joint Learning of Identity and Vein Features for Enhanced Representations in Vascular Biometrics,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
3. XF Huang, LM Po, WF Ou, “Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition,” Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
4. JJ Xiong, LM Po, WY Yu, C Zhou, PF Xian, WF Ou, “CSRNet: Cascaded Selective Resolution Network for Real-Time Semantic Segmentation,” Expert Systems with Applications, 211: 118537, 2023.
5. WF Ou, LM Po, C Zhou, PF Xian, JJ Xiong, “GAN-based Inter-class Sample Generation for Contrastive Learning of Vein Image Representations,” IEEE Transactions on Biometrics, Behavior, and Identity Science, 4(2): 249–262, 2022.
6. YJ Zhang, LM Po, XY Xu, MY Liu, YX Wang, WF Ou, YZ Zhao, WY Yu, “Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation,” Proceedings of the AAAI Conference on Artificial Intelligence, 36(3): 3380–3389, 2022.
7. YZ Zhao, LM Po, WY Yu, YAU Rehman, MY Liu, YJ Zhang, WF Ou, “Vcgan: Video Colorization with Hybrid Generative Adversarial Network,” IEEE Transactions on Multimedia, 25: 3017–3032, 2022.
8. PF Xian, LM Po, JJ Xiong, C Zhou, YZ Zhao, WY Yu, WF Ou, YJ Zhang, XR Zhang, “Pixel Voting Decoder: A Novel Decoder that Regresses Pixel Relationships for Segmentation,” Expert Systems with Applications, 193: 116438, 2022.
9. YZ Zhao, LM Po, XH Wang, Q Yan, W Shen, YJ Zhang, W Liu, CK Wong, CS Pang, WF Ou, WY Yu, BH Liu, “ChildPredictor: A Child Face Prediction Framework with Disentangled Learning,” IEEE Transactions on Multimedia, 25: 3737–3752, 2022.
10. WF Ou, LM Po, C Zhou, YAU Rehman, PF Xian, YJ Zhang, “Fusion Loss and Inter-class Data Augmentation for Deep Finger Vein Feature Learning,” Expert Systems with Applications, 171: 114584, 2021.
11. C Zhou, LM Po, WF Ou, PF Xian, KW Cheung, “Deep Triplet Residual Quantization,” Expert Systems with Applications, 184: 115467, 2021.
12. WF Ou, LM Po, C Zhou, YJ Zhang, LT Feng, YAU Rehman, YZ Zhao, “LinCos-softmax: Learning Angle-Discriminative Face Representations with Linearity-Enhanced Cosine Logits,” IEEE Access, 8: 109758–109769, 2020.
13. C Zhou, LM Po, WF Ou, “Angular Deep Supervised Vector Quantization for Image Retrieval,” IEEE Transactions on Neural Networks and Learning Systems, 33(4): 1638–1649, 2020.
14. YJ Zhang, LM Po, MY Liu, YAU Rehman, WF Ou, YZ Zhao, “Data-Level Information Enhancement: Motion-Patch-Based Siamese Convolutional Neural Networks for Human Activity Recognition in Videos,” Expert Systems with Applications, 147: 113203, 2020.
15. YAU Rehman, LM Po, MY Liu, ZJ Zou, WF Ou, “Perturbing Convolutional Feature Maps with Histogram of Oriented Gradients for Face Liveness Detection,” CISIS & ICEUTE, 2020.
16. YAU Rehman, LM Po, MY Liu, ZJ Zou, WF Ou, YZ Zhao, “Face Liveness Detection Using Convolutional-Features Fusion,” Journal of Visual Communication and Image Representation, 59: 574–582, 2019.
17. YZ Zhao, LM Po, TT Zhang, ZB Liao, X Shi, YJ Zhang, WF Ou, PF Xian, JJ Xiong, C Zhou, WY Yu, “Saliency Map-Aided GAN for Raw-to-RGB Mapping,” ICCV Workshops (ICCVW), 2019.
18. WF Ou, CL Yang, C Dai, “A Two-Stage Multi-Hypothesis Reconstruction and Two Implementation Schemes for Compressed Video Sensing,” Journal of Electronics & Information Technology, 39(7): 1688–1696, 2017.
19. WF Ou, CL Yang, “A Two-Stage Multi-Hypothesis Reconstruction Scheme in Compressed Video Sensing,” IEEE ICIP, pp. 2494–2498, 2016.
20. CL Yang, WF Ou, “Multi-Reference Frames-Based Optimal Multi-Hypothesis Prediction,” Journal of South China University of Technology, 44(1): 1–8, 2016.

Academic Service

Reviewer for

• IEEE T-IFS, T-NNLS, T-BIOM, T-HMS, T-IM, ESWA, ICASSP, IJCNN, etc

Awards & Honors

• The Outstanding Academic Performance Award for Research Degree Students, City University of Hong Kong, 2020
• Excellent New Employee Award, Huawei, 2017
• First-class Scholarships (SCUT & GDUT), 2010~2015
• National English Contest for College Students (Second Prize), 2011

Languages

• Cantonese & Mandarin (Native)
• English (IELTS 7.0, CET-6: 619)