A data-centric pipeline using convolutional neural network to select better multiple sequence alignment method. - Mengmeng Kuang; Hing-Fung Ting (BCB, 2020)

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping. - Mengmeng Kuang; Yinzhe Wu 001; Diego Alonso-Álvarez; David N. Firmin; Jennifer Keegan; Peter Gatehouse; Guang Yang 006 (FIMH, 2021)

Efficient Two-stage Label Noise Reduction for Retrieval-based Tasks. - Mengmeng Kuang; Weiyan Wang; Zhenhong Chen; Lie Kang; Qiang Yan 001 (WSDM, 2022)

Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. - Guanxiong Luo; Mengmeng Kuang; Peng Cao (AIME, 2023)

Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval. - Mengmeng Kuang; Zhenhong Chen; Weiyan Wang; Lie Kang; Qiang Yang 001; Min Tang; Penghui Hao (PAKDD (3), 2023)

MLProbs: A Data-Centric Pipeline for Better Multiple Sequence Alignment. - Mengmeng Kuang; Yong Zhang 001; Tak Wah Lam; Hing-Fung Ting (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)