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Mengmeng Kuang
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2020 – today
- 2023
- [j1]Mengmeng Kuang, Yong Zhang, Tak Wah Lam, Hing-Fung Ting:
MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 524-533 (2023) - [c5]Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. AIME 2023: 239-244 - [c4]Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang, Qiang Yang, Min Tang, Penghui Hao:
Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. PAKDD (3) 2023: 86-98 - 2022
- [c3]Mengmeng Kuang, Weiyan Wang, Zhenhong Chen, Lie Kang, Qiang Yan:
Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks. WSDM 2022: 526-534 - [i2]Guanxiong Luo, Mengmeng Kuang, Peng Cao:
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction. CoRR abs/2211.16881 (2022) - 2021
- [c2]Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. FIMH 2021: 55-62 - [i1]Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez, David N. Firmin, Jennifer Keegan, Peter Gatehouse, Guang Yang:
Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. CoRR abs/2104.13214 (2021) - 2020
- [c1]Mengmeng Kuang, Hing-Fung Ting:
A data-centric pipeline using convolutional neural network to select better multiple sequence alignment method. BCB 2020: 72:1
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