Publications

 [8] Qing Li, Bingqing Du, Xiaolin Qin, Jiguang Zhang, Shibiao Xu, “Multi-scale Global Consistency Residue Feature Enhancement based Protein Structure Analysis”, In Proceedings of the 2023 9th International Conference on Communication and Information Processing (ICCIP ‘23). Association for Computing Machinery, New York, NY, USA, 24–30, 2024. [Full text]
 [7] Qing Li, Diwen Xiong, Mingsheng Shang, “Adjusted Stochastic Gradient Descent for Latent Factor Analysis”, Information Sciences, 588:196-213, 2022. [Full text] ( IF=8.233, SCI 1, JCR 1 )
 [6] Qing Li, Guansong Pang, Mingsheng Shang, “An Efficient Annealing-Assisted Differential Evolution for Multi-parameter Adaptive Latent Factor Analysis”, Journal of Big Data, 9(1):95, 2022. [Full text] ( IF=10.835, SCI 2, JCR 1 )
 [5] Qing Li, Mingsheng Shang, “BALFA: A Brain Storm Optimization-based Adaptive Latent Factor Analysis Model”, Information Sciences, 578:913-929, 2021. [Full text] ( IF=8.233, SCI 1, JCR 1 )
 [4] Leming Zhou, Qing Li, Ming Sheng Shang, “Chronic Disease Detection via Non-negative Latent Feature Analysis”, IEEE International Conference on Networking, Sensing and Control, 1:1-6, 2021.[Full text] (IEEE)
 [3] Qing Li, Mingsheng Shang, “A Compressed Sensing and Porous 9-7 Wavelet Transform-based Image Fusion Algorithm”, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 4185-4191, 2020. [Full text] (CCF C)
 [2] Qing Li, Lige Zhang, Xiaolin Qin, etc., “NSA-CSIPSO: satellite navigation signal acquisition method based on compressed sensing using improved particle swarm optimization”, 2018 10th International Conference on Communication Software and Networks (ICCSN), 290-295, 2018.[Full text] (IEEE)
 [1] Lige Zhang, Xiaolin Qin, Qing Li, etc., “Single bitmap block truncation coding of color images using hill climbing algorithm”, arXiv preprint arXiv:1807.04960, 2018.[Full text]