1. Adelaide Research & Scholarship

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Results 1-10 of 11 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2017Item group recommendation: a method based on game theoryZhang, L.; Zhou, R.; Jiang, H.; Wang, H.; Zhang, Y.; 26th International Conference on World Wide Web Companion (3 Apr 2017 - 7 Apr 2017 : Geneva, Switzerland)
2018Cluster sparsity field: an internal hyperspectral imagery prior for reconstructionZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; van den Hengel, A.; Shi, Q.
2019Unsupervised domain adaptation using robust class-wise matchingZhang, L.; Wang, P.; Wei, W.; Lu, H.; Shen, C.; van den Hengel, A.; Zhang, Y.
2017A topic model based on poisson decompositionJiang, H.; Zhou, R.; Zhang, L.; Wang, H.; Zhang, Y.; ACM Conference on Information and Knowledge Management (CIKM 2017) (6 Nov 2017 - 10 Nov 2017 : Singapore, SINGAPORE)
2019Graphitic carbon nitride (g-C₃N₄ )-derived N-rich graphene with tuneable interlayer distance as a high-rate anode for sodium-ion batteriesLiu, J.; Zhang, Y.; Zhang, L.; Xie, F.; Vasileff, A.; Qiao, S.Z.
2019Accurate imagery recovery using a multi-observation patch modelZhang, L.; Wei, W.; Shi, Q.; Shen, C.; van den Hengel, A.; Zhang, Y.
2016Cluster sparsity field for hyperspectral imagery denoisingZhang, L.; Wei, W.; Zhang, Y.; Shen, C.; Van Den Hengel, A.; Shi, Q.; Leibe, B.; Matas, J.; Sebe, N.; Welling, M.; 14th European Conference on Computer Vision (ECCV) (8 Oct 2016 - 16 Oct 2016 : Amsterdam, Netherlands)
2015Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity PriorZhang, L.; Wei, W.; Zhang, Y.; Li, F.; Shen, C.; Shi, Q.; IEEE International Conference on Computer Vision (11 Dec 2015 - 18 Dec 2015 : Santiago, Chile)
2016Sandwich-like nitrogen-doped porous carbon/graphene nanoflakes with high-rate capacitive performanceZhang, Y.; Tao, B.; Xing, W.; Zhang, L.; Xue, Q.; Yan, Z.
2016Hierarchical carbon@Ni₃S₂@MoS₂ double core-shell nanorods for high-performance supercapacitorsLi, L.; Yang, H.; Yang, J.; Zhang, L.; Miao, J.; Zhang, Y.; Sun, C.; Huang, W.; Dong, X.; Liu, B.

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