讲师
计算机科学与技术学院
东莞理工学院
邮箱： ouwf@dgut.edu.cn， 办公地点：9A204-11
个人主页：https://ouwf.github.io/
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研究兴趣
●生物特征识别、计算机视觉、图像/视频处理、人工智能
教育背景
●2018/09～2021/10：香港城市大学，电机工程系，哲学博士
●2013/09～2016/06：华南理工大学，信号与信息处理，工学硕士
●2009/09/～2013/06：广东工业大学，信息工程，工学学士
工作/实习经历
●2023/03至今: 讲师
●东莞理工学院，计算机科学与技术学院，东莞
●2021/11 ~ 2023/03: 算法研究员
●商汤集团有限公司，EIG研究中心，香港
●2018/04 ~ 2018/08: 研究助理
●香港城市大学，电子工程系&计算机系，香港
●2016/07 ~ 2018/03: 技术研究工程师
●华为技术有限公司，中央软件院，深圳
●2015/07 ~ 2015/09：技术研究工程师（实习生）
●华为技术有限公司，中央软件院，深圳
主教课程
●本科生课程
●软件设计模式，2025秋季
●人工智能概论，2025春季
●Python数据分析与应用，2024年秋季
●人工智能概论，2024春季
●研究生课程
●软件设计方法，2023秋季
科研/教研项目
●面向复杂场景的指静脉图像模拟、增强与鲁棒识别研究，国家自然科学基金青年项目C类，2026.01~2028.12，主持；
●生成数据驱动特征学习的鲁棒指静脉识别研究，广东省教育厅普通高校青年创新人才项目，2025.10~2027.09，主持；
●人工智能概论智慧课程建设，2025.04 ~ 2027.03，主持；
论文发表情况
期刊论文
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.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.
3.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.
4.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.
5.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.
6.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.
7.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.
8.C Zhou, LM Po, WF Ou, PF Xian, KW Cheung, “Deep triplet residual quantization,” Expert Systems with Applications, 184, 115467, 2021.
9.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.
10.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.
11.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.
12.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.
13.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.
14.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.
会议论文
1.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.
2.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.
3.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.
4.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.
5.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.
6.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.
学术服务
承担学术期刊/会议的论文审稿工作：
●IEEE Transactions on Information Forensics & Security (T-IFS)
●IEEE Transactions on Neural Networks & Learning Systems (T-NNLS)
●IEEE Transactions on Human Machine Systems (T-HMS)
●IEEE Transactions on Instrumentation & Measurement (T-IM)
●Expert Systems with Applications (ESWA)
●IEEE International Conference on Acoustic, Speech & Signal Processing (ICASSP)
●IEEE International Joint Conference on Neural Networks (IJCNN)
●…
获奖情况
●东莞理工学院计算机学院青年教师教学能力比赛二等奖，2024.
●香港城市大学研究型学位学业优异奖，2020.
●优秀新员工奖，华为技术有限公司，2017.
●全国大学生英语竞赛二等奖，2011.
●本科/硕士期间多次获得一等奖学金.
语言
●粤语 & 普通话
●英语 (雅思: 7.0, CET-6: 619)
