Curriculum Vitae
Dr. Weifeng Ou
Lecturer
School of Computer Science & Technology
Dongguan University of Technology
Office: 9A-204-11
Email: ouwf@dgut.edu.cn
Research Interests
- Biometrics
- Computer vision
- Image & video processing
Education
- 2018/09 ~ 2021/10: Ph. D. in Electrical Engineering, City University of Hong Kong.
- Supervisor: Prof. Lai-Man Po
- 2013/09 ~ 2016/06: MEng in Signal & Information Processing, South China University of Technology.
- Supervisor: Prof. Chun-Ling Yang
- 2009/09 ~ 2013/06: BEng in Information Engineering, Guangdong University of Technology.
Work Experience
- 2023/03 ~ present: Lecturer
- School of Computer Science & Technology, Dongguan University of Technology.
- 2021/11 ~ 2023/03: Algorithm Researcher
- EIG Research Center, SenseTime Group Limited, Hong Kong.
- 2018/06 ~ 2018/08: Senior Research Assistant
- Department of Electronic Engineering, City University of Hong Kong.
- Supervisor: Prof. Lai-Man Po
- 2018/04 ~ 2018/05: Research Assistant
- Department of Computer Science, City University of Hong Kong.
- Supervisor: Prof. Antoni B. Chan
- 2016/07 ~ 2018/03: R&D Engineer
- Central Software Institute, Huawei Technologies, Shenzhen.
Internship
- 2015/07 ~ 2015/09: Intern R&D Engineer, Huawei Technologies, Shenzhen.
Teaching
- Introduction to Artificial Intelligence (Undergraduate), 2024 Spring.
- Software Design Patterns (Postgraduate), 2023 Fall.
- Final Year Project Supervisor, 2024.
- Deputy Programme Leader (Software Engineering), 2023 - present.
Publications
Journal & Conference Papers
- WF Ou, LM Po, XF Huang, “Joint Learning of Identity and Vein Features for Enhanced Representations in Vascular Biometrics,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
- 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.
- 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.
- 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.
- 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.
- WF Ou, CL Yang, WH Li, LH Ma, “A two-stage multi-hypothesis reconstruction scheme in compressed video sensing,” 2016 IEEE International Conference on Image Processing (ICIP), 2494-2498, 2016.
- 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 (电子与信息学报), 39 (7), 1688-1696, 2017.
- XF Huang, LM Po, WF Ou, “Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
- 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.
- C Zhou, LM Po, WF Ou, PF Xian, KW Cheung, “Deep triplet residual quantization,” Expert Systems with Applications, 184, 115467, 2021.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- YAU Rehman, LM Po, MY Liu, ZJ Zou, WF Ou, YZ Zhao, “Face liveness detection using convolutional-features fusion of real and deep network generated face images,” Journal of Visual Communication and Image Representation, 59, 574-582, 2019.
- YAU Rehman, LM Po, MY Liu, ZJ Zou, WF Ou, “Perturbing convolutional feature maps with histogram of oriented gradients for face liveness detection”, International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019) Seville, Spain, May 13th-15th, 2020.
- 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 generative adversarial network for raw to rgb mapping,” 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019.
- CL Yang, WF Ou, “Multi-reference frames-based optimal multi-hypothesis prediction in compressed video sensing,” Journal of South China University of Technology (Natural Science Edition) (华南理工大学学报), 44 (1), 1-8, 2016.
Others
- Invited Paper Summary published in IEEE Biometrics Council Newsletter, Vol 43, 2022.
Talks
- Oral Presentation at ICASSP 2024 held in Seoul, Korea. (Youtube), (Bilibili)
Service
Journal reviewer
- IEEE Transactions on Information Forensics & Security (T-IFS)
- IEEE Transactions on Neural Networks & Learning Systems (T-NNLS)
- IEEE Transactions on Instrumentation & Measurement (T-IM)
- Expert Systems with Applications
Awards and Honors
- The Outstanding Academic Performance Award for Research Degree Students, City University of Hong Kong, 2020.
- Excellent New Employee Award, Huawei, 2017.
- First-class Scholarship for Postgraduate Students, South China University of Technology, 2013-2014.
- First-class Scholarship for Undergraduate Students, Guangdong University of Technology, 2010-2012.
- Second Prize in the 2011 National English Contest for College Students, 2011.
Languages
- Cantonese & Mandarin (First Languages)
- English (IELTS Score: 7.0, CET-6 Score: 619)