Zongyuan Ge

Dr

Accepting PhD Students

20142020
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Research Output 2014 2019

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Article
2019

PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins

Zhang, Y., Yu, S., Xie, R., Li, J., Leier, A., Marquez-Lago, T. T., Akutsu, T., Smith, A. I., Ge, Z., Wang, J., Lithgow, T. & Song, J., 8 Aug 2019, (Accepted/In press) In : Bioinformatics. 8 p., btz629.

Research output: Contribution to journalArticleResearchpeer-review

2018

FDCNet: filtering deep convolutional network for marine organism classification

Lu, H., Li, Y., Uemura, T., Ge, Z., Xu, X., He, L., Serikawa, S. & Kim, H., 1 Sep 2018, In : Multimedia Tools and Applications. 77, 17, p. 21847-21860 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

Chen, Z., Liu, L., Sa, I., Ge, Z. & Chli, M., 1 Oct 2018, In : IEEE Robotics and Automation Letters. 3, 4, p. 4015-4022 8 p., 8421024.

Research output: Contribution to journalArticleResearchpeer-review

Structured deep hashing with convolutional neural networks for fast person re-identification

Wu, L., Wang, Y., Ge, Z., Hu, Q. & Li, X., 1 Feb 2018, In : Computer Vision and Image Understanding. 167, p. 63-73 11 p.

Research output: Contribution to journalArticleResearchpeer-review

2016

Deepfruits: A fruit detection system using deep neural networks

Sa, I., Ge, Z., Dayoub, F., Upcroft, B., Perez, T. & McCool, C., 3 Aug 2016, In : Sensors. 16, 8, 23 p., 1222.

Research output: Contribution to journalArticleResearchpeer-review

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