A review of research on co‐training X Ning, X Wang, S Xu, W Cai, L Zhang, L Yu, W Li Concurrency and computation: practice and experience 35 (18), e6276, 2023 | 121 | 2023 |
Multi‐view frontal face image generation: a survey X Ning, F Nan, S Xu, L Yu, L Zhang Concurrency and Computation: Practice and Experience 35 (18), e6147, 2023 | 103 | 2023 |
Polynomial fitting algorithm based on neural network Y Tong, L Yu, S Li, J Liu, H Qin, W Li ASP Transactions on Pattern Recognition and Intelligent Systems 1 (1), 32-39, 2021 | 91 | 2021 |
The influence of forming processes on the distribution and morphologies of TiC in Al–Ti–C master alloys H Ding, X Liu, L Yu, G Zhao Scripta materialia 57 (7), 575-578, 2007 | 79 | 2007 |
Multi-angle head pose classification when wearing the mask for face recognition under the COVID-19 coronavirus epidemic S Li, X Ning, L Yu, L Zhang, X Dong, Y Shi, W He 2020 International conference on high performance big data and intelligent …, 2020 | 75 | 2020 |
ARFace: attention-aware and regularization for face recognition with reinforcement learning L Zhang, L Sun, L Yu, X Dong, J Chen, W Cai, C Wang, X Ning IEEE Transactions on Biometrics, Behavior, and Identity Science 4 (1), 30-42, 2021 | 74 | 2021 |
Encoder-X: solving unknown coefficients automatically in polynomial fitting by using an autoencoder G Wang, W Li, L Zhang, L Sun, P Chen, L Yu, X Ning IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3264-3276, 2021 | 63 | 2021 |
Ti transition zone on the interface between TiC and aluminum melt and its influence on melt viscosity L Yu, X Liu Journal of materials processing technology 182 (1-3), 519-524, 2007 | 52 | 2007 |
A implementation of an automatic examination paper generation system G Cen, Y Dong, W Gao, L Yu, S See, Q Wang, Y Yang, H Jiang Mathematical and Computer Modelling 51 (11-12), 1339-1342, 2010 | 51 | 2010 |
GmFace: An explicit function for face image representation L Zhang, W Li, L Yu, L Sun, X Dong, X Ning Displays 68, 102022, 2021 | 49 | 2021 |
A new nucleation mechanism of primary Si by peritectic-like coupling of AlP and TiB2 in near eutectic Al–Si alloy L Yu, X Liu, H Ding, X Bian Journal of alloys and compounds 432 (1-2), 156-162, 2007 | 48 | 2007 |
Grain refinement of A356 alloy by AlTiC/AlTiB master alloys L Yu, X Liu, Z Wang, X Bian Journal of materials science 40 (14), 3865-3867, 2005 | 43 | 2005 |
Influence of zirconium on grain refining efficiency of Al–Ti–C master alloys H Ding, X Liu, L Yu Journal of materials science 42, 9817-9821, 2007 | 40 | 2007 |
The relationship between viscosity and refinement efficiency of pure aluminum by Al–Ti–B refiner L Yu, X Liu Journal of alloys and compounds 425 (1-2), 245-250, 2006 | 40 | 2006 |
Food preferences, personality and parental rearing styles: analysis of factors influencing health of left-behind children S Tao, L Yu, W Gao, W Xue Quality of Life Research 25, 2921-2929, 2016 | 38 | 2016 |
An improved graph cut algorithm in stereo matching B Lu, L Sun, L Yu, X Dong Displays 69, 102052, 2021 | 32 | 2021 |
Non-destructive identification of maize haploid seeds using nonlinear analysis method based on their near-infrared spectra L Yu, W Liu, W Li, H Qin, J Xu, M Zuo Biosystems engineering 172, 144-153, 2018 | 32 | 2018 |
A new nucleation mechanism of primary Si by like-peritectic coupling of AlP and Al4C3 in near eutectic Al–Si alloy L Yu, X Liu, H Ding, X Bian Journal of alloys and compounds 429 (1-2), 119-125, 2007 | 28 | 2007 |
Method for identifying maize haploid seeds by applying diffuse transmission near-infrared spectroscopy J Lin, L Yu, W Li, H Qin Applied Spectroscopy 72 (4), 611-617, 2018 | 26 | 2018 |
Transformer-based model for symbolic regression via joint supervised learning W Li, W Li, L Sun, M Wu, L Yu, J Liu, Y Li, S Tian The Eleventh International Conference on Learning Representations, 2022 | 24 | 2022 |