| Transferring a Semantic Representation for Person Re-Identification and Search Z Shi, TM Hospedales, T Xiang CVPR 2015, IEEE Conference on Computer Vision and Pattern Recognition, 4184 …, 2015 | 253 | 2015 |
| When machine learning meets big data: A wireless communication perspective Y Liu, S Bi, Z Shi, L Hanzo IEEE Vehicular Technology Magazine 15 (1), 63-72, 2019 | 118 | 2019 |
| Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Z Shi, TK Kim CVPR 2017,IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 104 | 2017 |
| Bayesian joint topic modelling for weakly supervised object localisation Z Shi, TM Hospedales, T Xiang ICCV 2013, IEEE International Conference on Computer Vision, 2984-2991, 2013 | 88 | 2013 |
| Transfer Learning by Ranking for Weakly Supervised Object Annotation. Z Shi, P Siva, T Xiang, Q Mary BMVC 2012, British Machine Vision Conference 2 (4), 5, 2012 | 74* | 2012 |
| Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes Z Shi, Y Yang, T Hospedales, T Xiang IEEE TPAMI 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 60 | 2017 |
| Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images Z Shi, TM Hospedales, T Xiang IEEE TPAMI 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 | 36 | 2015 |
| Kinematic-layout-aware random forests for depth-based action recognition S Baek, Z Shi, M Kawade, TK Kim arXiv preprint arXiv:1607.06972, 2016 | 24 | 2016 |
| Data analysis and key parameters of typical water hazard control engineering in coal mines of China L Mou, S Dong, W Zhou, W Wang, A Li, Z Shi Mine Water and the Environment 39 (2), 331-344, 2020 | 23 | 2020 |
| Bubble‐Mediated Mass Production of Graphene: A Review Z Shi, P He, N Wang, Y Liu, X Chen, Y Li, G Ding, Q Yu, X Xie Advanced Functional Materials 32 (42), 2203124, 2022 | 21 | 2022 |
| Weakly supervised learning of objects, attributes and their associations Z Shi, Y Yang, TM Hospedales, T Xiang ECCV 2014, European Conference on Computer Vision, 472-487, 2014 | 21 | 2014 |
| Controlled synthesis of uniform multilayer hexagonal boron nitride films on Fe 2 B alloy Z Shi, G Lu, P Yang, T Wu, W Yin, C Zhang, R Jiang, X Xie RSC advances 9 (18), 10155-10158, 2019 | 20 | 2019 |
| To create DDA by the approach of ANN from UCT-created data X Li, S He, Y Dong, Q Liu, X Liu, Y Fu, Z Shi, W Huang 2010 international Conference on computer application and system modeling …, 2010 | 18 | 2010 |
| Minimizing the Programming Power of Phase Change Memory by Using Graphene Nanoribbon Edge‐Contact X Wang, S Song, H Wang, T Guo, Y Xue, R Wang, HS Wang, L Chen, ... Advanced Science 9 (25), 2202222, 2022 | 17 | 2022 |
| Synthesis and stacking sequence characterization of h-BN/graphene heterostructures on Cu–Ni alloy G Lu, G Zhang, J Sun, X Wang, Z Shi, D Jiang, H Wang, A Li, T Wu, Q Yu, ... Carbon 152, 521-526, 2019 | 17 | 2019 |
| Vacancy-Assisted Growth Mechanism of Multilayer Hexagonal Boron Nitride on a Fe2B Substrate R Jiang, Z Shi, W Zhao, B Gao, T Wu, Q Yuan The Journal of Physical Chemistry Letters 11 (20), 8511-8517, 2020 | 12 | 2020 |
| Mechanism for One‐Pot Synthesis of 0D‐2D Carbon Materials in the Bubbles Inside Molten Salts Y Zhao, Z Shi, Y Zhu, J Liu, B Yang, Q Yu, X Xie Advanced Functional Materials 32 (42), 2202381, 2022 | 10 | 2022 |
| Copper-vapor-catalyzed chemical vapor deposition of graphene on dielectric substrates C Yang, T Wu, H Wang, X Zhang, Z Shi, X Xie Applied Physics Letters 111 (4), 2017 | 10 | 2017 |
| Microstructure Engineering of Hexagonal Boron Nitride for Single‐Photon Emitter Applications C Zhang, Z Shi, T Wu, X Xie Advanced Optical Materials 10 (17), 2200207, 2022 | 9 | 2022 |
| Silicon-assisted growth of hexagonal boron nitride to improve oxidation resistance of germanium C Zhang, B Gao, Y Ran, Z Shi, H Zhu, H Zhang, J Liu, B Yang, Z Liu, T Wu, ... 2D Materials 8 (3), 035041, 2021 | 8 | 2021 |
Tao XiangUniversity of Surrey; Meta AI在 surrey.ac.uk 的電子郵件地址已通過驗證