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Dr Yanming Zhu

Dr Yanming Zhu

Casual Academic

 

Engineering
Computer Science and Engineering

Dr Yanming Zhu is a Research Associate in the School of Computer Science and Engineering. She received a B.E. degree from Shandong Agricultural University, China; a M.E. degree from Tianjin University, China; and a PhD degree in Computer Science from the University of New South Wales, Australia in 2019. 

Her research focuses on developing computer vision and machine and deep learning methodologies for biomedical image analysis, fingerprint biometrics, and other applications such as false data injection attack detection. Some specific research problems include live cell segmentation and tracking; (3D, latent) fingerprint representation, enhancement, and recognition; neural architecture search; super-resolution; and stereo vision-based 3D reconstruction.

obtained come into possession of More (Definitions, Synonyms, Translation)
E-mail
yanming.zhu@unsw.edu.au
Location
Room 401, K17, CSE
  • Book Chapters | 2021
    Zhu Y; Zhou W; Yin X; Hu J, 2021, '3D Fingerprint', in Encyclopedia of Cryptography, Security and Privacy, Springer Berlin Heidelberg, pp. 1 - 4, http://dx.doi.org/10.1007/978-3-642-27739-9_1513-1
  • Journal articles | 2023
    Maška M; Ulman V; Delgado-Rodriguez P; Gómez-de-Mariscal E; Nečasová T; Guerrero Peña FA; Ren TI; Meyerowitz EM; Scherr T; Löffler K; Mikut R; Guo T; Wang Y; Allebach JP; Bao R; Al-Shakarji NM; Rahmon G; Toubal IE; Palaniappan K; Lux F; Matula P; Sugawara K; Magnusson KEG; Aho L; Cohen AR; Arbelle A; Ben-Haim T; Raviv TR; Isensee F; Jäger PF; Maier-Hein KH; Zhu Y; Ederra C; Urbiola A; Meijering E; Cunha A; Muñoz-Barrutia A; Kozubek M; Ortiz-de-Solórzano C, 2023, 'The Cell Tracking Challenge: 10 years of objective benchmarking', Nature Methods, 20, pp. 1010 - 1020, http://dx.doi.org/10.1038/s41592-023-01879-y
    Journal articles | 2023
    Tchetchenian A; Zhu Y; Zhang F; O’Donnell LJ; Song Y; Meijering E, 2023, 'A comparison of manual and automated neural architecture search for white matter tract segmentation', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-28210-1
    Journal articles | 2023
    Yin X; Wang S; Zhu Y; Hu J, 2023, 'A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications', IEEE Internet of Things Journal, 10, pp. 877 - 892, http://dx.doi.org/10.1109/JIOT.2022.3204246
    Journal articles | 2023
    Zhu Y; Wang M; Yin X; Zhang J; Meijering E; Hu J, 2023, 'Deep Learning in Diverse Intelligent Sensor Based Systems', Sensors, 23, pp. 62, http://dx.doi.org/10.3390/s23010062
    Journal articles | 2023
    Zhu Y; Yin X; Hu J, 2023, 'FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 8358 - 8371, http://dx.doi.org/10.1109/TPAMI.2023.3236876
    Journal articles | 2023
    Zhu Y; Yin X; Meijering E, 2023, 'A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation', IEEE Transactions on Medical Imaging, 42, pp. 1278 - 1288, http://dx.doi.org/10.1109/TMI.2022.3226226
    Journal articles | 2022
    Wang M; Yin X; Zhu Y; Hu J, 2022, 'Representation Learning and Pattern Recognition in Cognitive Biometrics: A Survey', Sensors, 22, pp. 5111, http://dx.doi.org/10.3390/s22145111
    Journal articles | 2022
    Yin X; Zhu Y; Hu J, 2022, 'A Subgrid-Oriented Privacy-Preserving Microservice Framework Based on Deep Neural Network for False Data Injection Attack Detection in Smart Grids', IEEE Transactions on Industrial Informatics, 18, pp. 1957 - 1967, http://dx.doi.org/10.1109/TII.2021.3102332
    Journal articles | 2022
    Yin X; Zhu Y; Xie Y; Hu J, 2022, 'PowerFDNet: Deep Learning-Based Stealthy False Data Injection Attack Detection for AC-Model Transmission Systems', IEEE Open Journal of the Computer Society, 3, pp. 149 - 161, http://dx.doi.org/10.1109/OJCS.2022.3199755
    Journal articles | 2021
    Yin X; Zhu Y; Hu J, 2021, '3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction', IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, pp. 1085 - 1091, http://dx.doi.org/10.1109/TPAMI.2019.2949299
    Journal articles | 2021
    Yin X; Zhu Y; Hu J, 2021, 'A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions', ACM Computing Surveys, 54, http://dx.doi.org/10.1145/3460427
    Journal articles | 2021
    Yin X; Zhu Y; Hu J, 2021, 'A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions', IEEE Open Journal of the Computer Society, 2, pp. 370 - 381, http://dx.doi.org/10.1109/OJCS.2021.3119572
    Journal articles | 2021
    Zhu Y; Meijering E, 2021, 'Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search', Bioinformatics, 37, pp. 4844 - 4850, http://dx.doi.org/10.1093/bioinformatics/btab556
    Journal articles | 2020
    Yin X; Zhu Y; Hu J, 2020, 'Contactless Fingerprint Recognition Based on Global Minutia Topology and Loose Genetic Algorithm', IEEE Transactions on Information Forensics and Security, 15, pp. 28 - 41, http://dx.doi.org/10.1109/TIFS.2019.2918083
    Journal articles | 2016
    Li K; Zhu Y; Yang J; Jiang J, 2016, 'Video super-resolution using an adaptive superpixel-guided auto-regressive model', Pattern Recognition, 51, pp. 59 - 71, http://dx.doi.org/10.1016/j.patcog.2015.08.008
    Journal articles | 2014
    Zhu Y; Li K; Jiang J, 2014, 'Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow', Signal Processing: Image Communication, 29, pp. 875 - 886, http://dx.doi.org/10.1016/j.image.2014.06.005
  • Preprints | 2022
    Zhu Y; Yin X; Hu J, 2022, FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement, , http://arxiv.org/abs/2206.12885v1
    Preprints | 2022
    Zhu Y; Yin X; Jia X; Hu J, 2022, Pair-Relationship Modeling for Latent Fingerprint Recognition, , http://arxiv.org/abs/2207.00587v1
    Conference Papers | 2020
    Zhu Y; Meijering E, 2020, 'Neural Architecture Search for Microscopy Cell Segmentation', Lima, Peru, presented at Neural Architecture Search for Microscopy Cell Segmentation, Lima, Peru, 04 October 2020
    Conference Papers | 2017
    Yin X; Zhu Y; Hu J, 2017, 'A robust contactless fingerprint enhancement algorithm', in Hu J; Khalil I; Tari Z; Wen S (eds.), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, Melbourne, Australia, pp. 127 - 136, presented at 9th International Conference, MONAMI 2017, Melbourne, Australia, 13 December 2017 - 15 December 2017, http://dx.doi.org/10.1007/978-3-319-90775-8_11
    Conference Papers | 2017
    Zhu Y; Yin X; Hu J, 2017, 'Robust fingerprint matching based on convolutional neural networks', in Hu J; Khalil I; Tari Z; Wen S (eds.), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer, Melbourne, Australia, pp. 56 - 65, presented at 9th International Conference, MONAMI 2017, Melbourne, Australia, 13 December 2017 - 15 December 2017, http://dx.doi.org/10.1007/978-3-319-90775-8_5
    Conference Papers | 2017
    Zhu Y; Yin X; Jia X; Hu J, 2017, 'Latent Fingerprint Segmentation Based on Convolutional Neural Networks', in 2017 IEEE Workshop on Information Forensics and Security (WIFS), Rennes, France, presented at 2017 IEEE Workshop on Information Forensics and Security (WIFS), Rennes, France, 04 December 2017 - 07 December 2017, http://dx.doi.org/10.1109/WIFS.2017.8267655
    Conference Papers | 2016
    Zhu Y; Hu J; Xu J, 2016, 'A robust multi-constrained model for fingerprint orientation field construction', in Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, China, pp. 156 - 160, presented at 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), China, 05 June 2016 - 07 June 2016, http://dx.doi.org/10.1109/ICIEA.2016.7603569
    Conference Papers | 2013
    Zhu Y; Li K; Jiang J; Yang J, 2013, 'Adaptive video super-resolution based on superpixel-guided auto-regressive model', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 453 - 464, http://dx.doi.org/10.1007/978-3-319-03731-8_42
    Conference Papers | 2012
    Zhu Y; Jiang J; Li K, 2012, 'Optimized image super-resolution based on sparse representation', in Proceedings - International Conference on Pattern Recognition, pp. 1052 - 1055

 

 

 

 

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