主要论文论著 | 近三年代表作 （1）Li H, Chen S, Dai J, et al. Fast Burst-Sparsity Learning-Based Baseline Correction (FBSL-BC) Algorithm for Signals of Analytical Instruments[J]. Analytical Chemistry, 2022, 94(12): 5113-5121 （2）Li H, Wu P, Dai J, et al. A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection[J]. Analytica Chimica Acta, 2023, 1279: 341782. （3）Li H, Wu P, Dai J, et al. Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea[J]. Journal of Food Composition and Analysis, 2023, 123: 105590. （4）Li H, Dai J, Xiao J, et al. Spectral variable selection based on least absolute shrinkage and selection operator with ridge-adding homotopy[J]. Chemometrics and Intelligent Laboratory Systems, 2022, 221: 104487. （5）Li H, Dai J, Pan T, et al. Sparse Bayesian learning approach for baseline correction[J]. Chemometrics and Intelligent Laboratory Systems, 2020, 204: 104088. （6）Li H, Wang B, Dai J, et al. Ridge-Adding Homotopy Approach for l 1-norm Minimization Problems[J]. IEICE TRANSACTIONS on Information and Systems, 2020, 103(6): 1380-1387. （7）Li H, Pan T, Li Y, et al. Functional principal component analysis for near-infrared spectral data: A case study on Tricholoma matsutakeis[J]. International Journal of Food Engineering, 2020, 16(8): 20190386. |
