Study on an active voltage equalization charge system of a series battery pack. - Peiying Li; Yutian Pan; Yanqiang Ma; Qingzhang Qin (EMEIT, 2011)

The Antecedents and Consequences of Crowdfunding Investors' Citizenship Behaviors - an Empirical Research on Motivations and Stickiness. - Wenjie Zhang; Yan Chen; Peiying Li; Xu Yun; Haichao Zheng (PACIS, 2017)

Prior Elicitation, Assessment and Inference with a Dirichlet Prior. - Michael Evans; Irwin Guttman; Peiying Li (Entropy, 2017)

GAN Flexible Lmser for Super-resolution. - Peiying Li; Shikui Tu; Lei Xu 001 (ACM Multimedia, 2019)

pTrimmer: An efficient tool to trim primers of multiplex deep sequencing data. - Xiaolong Zhang; Yanyan Shao; Jichao Tian; Yuwei Liao; Peiying Li; Yu Zhang; Jun Chen; Zhiguang Li (BMC Bioinform., 2019)

Analysis and Prediction of Myanmar Prosodic Unit Boundary. - Peiying Li; Jian Yang; Feng Chen (ACAI, 2020)

Myanmar Text-to-Speech Synthesis Using End-to-End Model. - Qinglai Qin; Jian Yang; Peiying Li (NLPIR, 2020)

Enriching computed tomography images by projection for robust automated cerebral aneurysm detection and segmentation. - Rui Ma; Shikui Tu; Peiying Li; Jiafeng Zhou; Bing Zhao; Jieqing Wan; Lei Xu 001 (BIBM, 2021)

RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. - Peiying Li; Boheng Cao; Shikui Tu; Lei Xu 001 (BIBM, 2022)

Deep Rival Penalized Competitive Learning for low-resolution face recognition. - Peiying Li; Shikui Tu; Lei Xu 001 (Neural Networks, 2022)

PEST: A General-Purpose Protein Embedding Model for Homology Search. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (BIBM, 2023)

GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction. - Peiying Li; Yongchang Liu; Shikui Tu; Lei Xu 001 (IJCAI, 2023)

RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction. - Yongchang Liu; Peiying Li; Shikui Tu; Lei Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk. - Peiying Li; Yongchang Liu; Jiafeng Zhou; Shikui Tu; Bing Zhao; Jieqing Wan; Yunjun Yang; Lei Xu 001 (Patterns, 2023)