联系电话：023-65103544
传 真：023-65103544
E-mail：yongmingli@cqu.edu.cn
地 址：中国重庆.重庆大学A区主教学楼
Updated: 04-10-2023
科研论文
录用
[1] Fan Li, Bo Wang, Pin Wang, Yinghua Shen, Yongming Li*. An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation. Information Sciences, accepted with minor revision （SCI）
[2] 李帆，张小恒，李勇明*，王品. 基于包络学习和分级结构一致性机制的不平衡集成算法，电子学报，录用 (EI)
[3] Chuanyan_Zhou, Jie Ma, Fan Li, Yongming Li*, Pin Wang. Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples. IEEE Transactions on Artificial Intelligence, accepted （EI）
2023
[4] 刘玉川;李浩;唐宇龙;梁杜鹃;谭佳;符?;李勇明. Brain Age Detection of Alzheimer's Disease Magnetic Resonance Images Based on Mutual Information-Support Vector Regression. Journal of Shanghai Jiao Tong University (Science), accepted (EI)
[5] Tang L, Ma J, Li Y. Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model. arXiv :2303.08538, 2023.
[6] YongmingLi, JinXu, Pin Wang*, Pufei Li, Gongxin Yang, Rui Chen. Manifold Reconstructed Semi-Supervised Domain Adaptation for Histopathology Images Classification, Biomedical Signal Processing and Control, online, 2023, 81 Share Link:
https://authors.elsevier.com/c/1gDoz6DBR35jIJ (SCI)
2022
[7] Yongming Li*, Chengyu Liu, Pin Wang, Hehua Zhang, Anhai Wei, Yanling Zhang. Envelope Multi-Type Transformation Ensemble Algorithm of Parkinson Speech Samples. Applied intelligence, online, 2022; share link: https://rdcu.be/c0Llq （SCI）
[8] Fan Li#, Bo Wang#, Pin Wang*, Yongming Li*. Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling. arXiv:2212.03182, 2022
[9] 张小恒，李勇明*，刘书君. 双阶段帕金森病语音聚类包络卷积稀疏迁移学习算法. 仪器仪表学报，2022,11 (EI)
[10] Zhengyang Wu, Yongming Li*, et al. A novel 2D hybrid visual projection fusion envelopes-based 3D lumbar vertebrae location and segmentation method. Computers in biology and medicine, on line, 2022 （SCI）
[11] Chuanyan Zhou, Jie Ma, Fan Li, Yongming Li*, Pin Wang, Xiaoheng Zhang. A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model. arXiv: 2210.14956, 2022
[12] Fan Li, Xiaoheng Zhang, Yongming Li*, Pin Wang. Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency. arXiv: 2206.13507, 2022
[13] Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li*. Deep instance envelope network-based imbalance learning algorithm with multilayer fuzzy C-means clustering and minimum interlayer discrepancy. Applied Soft Computing, 2022, 123, 108846 （SCI）
[14] Yang Li, Qiannan Shen, Mingfeng Jiang, Lingyan Zhu, Yongming Li, Pin Wang, Tie-Qiang Li. Accelerating Dynamic MRI Reconstruction Using Adaptive Sequentially Truncated Higher-Order Singular Value Decomposition. Current Medical Imaging Reviews, March 2022, 18, DOI: 10.2174/1573405618666220303101900
[15] 张小恒， 张馨月，李勇明*，王品，刘玉川. 面向帕金森语音诊断的非监督两步式卷积稀疏迁移学习算法，电子学报， 2022, 50 (1): 177-184. DOI: 10.12263/DZXB.20201003 （EI）
[16] Qian Yu, Xiaoya Zou, Fengying Quan, Zhaoying Dong, Huimei Yin, Jinjing Liu, Hongzhou Zuo, Jiaman Xu, Yu Han, Dezhi Zou, Yongming Li, Oumei Cheng. Parkinson's disease patients with freezing of gait have more severe voice impairment than non‑freezers during “ON state”，Journal of Neural Transmission，2022，https://doi.org/10.1007/s00702-021-02458-1
[17] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Mingfeng Jiang. Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation, Biomedical Signal Processing and Control, 73(2022):103400, DOI: 10.1016/j.bspc.2021.103400
[18] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Fang Yan, Mingfeng Jiang. Deep manifold feature fusion for classifification of breast histopathology, Digital Signal Processing, 2022, 123 (2022) 103400
2021
[19] Mingyao Yang#, Jie Ma#, Pin Wang, Zhiyong Huang*, Yongming Li*, He Liu, Zeeshan Hameed. Dual-Stage Hierarchical Boost Hybrid Feature Reduction Ensemble Model of Parkinson's Disease Speech Data, Diagnostics, 2021,11(2)，2312; https://doi.org/10.3390/diagnostics11122312 (SCI)
[20] Yiwen Wang #, Fan Li #, Xiaoheng Zhang#, Pin Wang, Yongming Li*. Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data. arXiv: 2111.09014
[21] Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li*. Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy. arXiv: 2111.01371
[22] Yongming Li, Chengyu Liu, Pin Wang, Hehua Zhang, Anhai Wei. Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease, arXiv:2108.09922
[23] Fan Li, Yongming Li*, Pin Wang, Jie Xiao, Fang Yan, Xinke Li. Integrated Age Estimation Mechanism, arXiv:2103.06546
[24] Meifang Yin, Jiangfeng Li, Lixian Huang, Yongming Li, Mingzhou Yuan, Yongquan Luo, Ubaldo Armato, Lijun Zhang, Yating Wei, Yuanyuan Li, Jiawen Deng, Pin Wang, Wu Jun. Identification of Microbes in Wounds via Near-Infrared Spectroscopy. Burns, Available online 17 September 2021 (SCI)
[25] 张毅，秦小林，林远，李勇明*，王品，张祖伟，李小飞. 基于深层内嵌混合稀疏堆栈自动编码器和流形集成的精神病语音识别方法. 生物医学工程学杂志，2021, 38(4): 655-662 DOI: 10.7507/1001-5515.202010050（EI）
[26] Yueyang Li#, Bo Wang#, Haiyin Li, Xian Chang, Yu Wu, Zhilei Hu, Chenhao Liu, Xiaoxin Gao,Yuyao Zhang, Huan Liu, Yongming Li*, Changqing Li* （李悦洋、王博、李海音、常献、吴钰、胡志雷、刘晨浩、高小新、张雨尧、刘寰、李勇明、李长青）. Adjuvant surgical decision-making system for lumbar intervertebral disc herniation after percutaneous endoscopic lumber discectomy: a retrospective nonlinear multiple logistic regression prediction model based on a large sample. The Spine Journal, Available online 20 July 2021 (SCI, WOS:000726809900010; PubMed ID 34298160)
[27] Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang*. FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution. Computerized Medical Imaging and Graphic, Available online 10 August 2021, 101969 (SCI)
[28] Xiaoheng Zhang# , Jie Ma# , Yongming Li*, Pin Wang, Yuchuan Liu. Few-shot Learning of Parkinson’s Disease Speech Data with Optimal Convolution Sparse Kernel Transfer Learning. Biomedical signal processing and control, 2021, 69, 102850,online (SCI)
[29] Jie Ma, Yuanfan Zhang, Yongming Li*, Lang Zhou, Lingyun Qin, Yuwei Zeng, Pin Wang, Yan Lei. Deep Dual-Side Learning Ensemble Model for Parkinson Speech Recognition. Biomedical signal processing and control, 2021, 69, 102849, online (SCI)
[30] Yongming Li*, Xinyue Zhang, Pin Wang, Xiaoheng Zhang*, Yuchuan Liu. Insight into an Unsupervised Two-Step Sparse Transfer Learning Algorithm for Speech Diagnosis of Parkinson’s disease. Neural Computing & Applications, 2021, Published: 09 February 2021 (SCI)
[31] Pan Huang*, Xiaoheng Tan, Chen Chen, Xiaoyi Lv and Yongming Li. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features. Sensors, 2021, 21, 122. https://doi.org/10.3390/s21010122 (SCI)
[32] Yongming Li*, Yan Lei, Pin Wang, Mingfeng Jiang, Yuchuan Liu. Embedded Stacked Group Sparse Autoencoder Ensemble with L1 Regularization and Manifold Reduction, Applied Soft Computing, 2021, 101, March 2021, 107003 (SCI)
[33] Yuchuan Liu, Yongming Li*, Xiaoheng Tan*, Pin Wang, Yanling Zhang. Local Discriminant Preservation Projection Embedded Ensemble Learning based Dimensionality Reduction of Speech Data of Parkinson's Disease, Biomedical signal processing and control, 2021,63,102165 (SCI)
[34] Pin Wang, Pufei Li, Yongming Li, Jiaxin Wang, Jin XU. Histopathological image classification based on cross-domain deep transferred feature fusion Biomedical signal processing and control, 2021,68,102705 (SCI)
[35] Pin Wang, Jiaxin Wang, Yongming Li, Pufei Li, Linyu Li, Mingfeng Jiang. Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing, Biomedical signal processing and control, 2021,65,102341 (SCI)
[36] Hong Chen#, Yuan Lin#, Yongming Li*, Wei Wang*, Pin Wang, Yan Lei. Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition. IEEE Access, 2021, PP(99):1-1 (SCI)
[37] Yin Meifang, Li Yongming, Luo Yongquan, Yuan Mingzhou, Armato Ubaldo, Pra Ilaria Dal, Zhang Lijun, Zhang Dayong, Wei Yating, Yang Guang,Huang, Lixian,Wang, Pin,Wu, Jun. A novel method for objectively, rapidly and accurately evaluating burn depth via near infrared spectroscopy. Burns & trauma, 2021, 9 (SCI)
2020
[38] Xiaojun Yuan, Mingfeng Jiang, Lingyan Zhu, Yang Li, Yongming Li, Pin Wang, Tie-Qiang Li. The Application of Plug-and-Play ADMM Framework and BM3D Denoiser for Compressed Sensing MR Image Reconstruction. International Journal of Computer Applications in Technology, 2020, accepted (EI)
[39] Yuan Zhenmou, Jiang Mingfeng, Wang Yaming, Wei Bo, Li Yongming, Wang Pin, Menpes-Smith, Wade, Niu, Zhangming, Yang, Guang. SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Frontiers in Neuroinformatics, 2020,14
[40] 李勇明*，张元梵，叶昌荣，王品，曾孝平. 面向孕妇远程监护的智能信息处理方法研究进展综述. 生物医学工程学杂志，2020, 37(5): 910-917 （EI）
[41] 李新科，刘欣雨，李勇明，曹海林，陈艺航，林宜成，黄新鑫. 基于惯导信息和卷积神经网络的人体活动识别. 生物医学工程学杂志，2020，37(4):1-6 （EI）
[42] Pin Wang, Shanshan Lv , Yongming Li, Qi Song, Linyu Li, Jiaxin Wang, Hehua Zhang. Hybrid Deep Transfer Network and rotational sample subspace ensemble learning for early cancer detection. Journal of Medical Imaging and Health Informatics, 2020 (SCI)
[43] Yongming Li*, Lang Zhou, Lingyun Qin, Yuwei Zeng, Yuchuan Liu, Yan Lei, Pin Wang, Fan Li. Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition. arXiv:2006.11593,2020
[44] Yongming Li*, Fan Li, Yuanlin Zheng, Pin Wang*, Mingfeng Jiang, Xinke Li. Hierarchical Age Estimation Mechanism with AdaBoost-based Deep Instance Weighted Fusion, Journal of Experimental & Theoretical Artificial Intelligence, 2020, online. (SCIWOS:000536316600001/EI: 20202208761827)
[45] Pin Wang, Jiaxin Wang, Yongming Li, Linyu Li, and Hehua Zhang. Adaptive Pruning of Transfer Learned Deep Convolutional Neural Network for Classification of Cervical Pap Smear Images. IEEE Access, March, 2020 (SCI:WOS:000524898800004/EI：20201308359021)
[46] Yongming Li*, Yan Lei, Pin Wang, Yuchuan Liu. Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble. arXiv:2002.06761, 2020
[47] Xiaoheng Zhang, Yongming Li*, Pin Wang, Xiaoheng Tan, Yuchuan Liu. Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection. arXiv:2002.03716, 2020
[48] Xinzheng Zhang*,†,Guo Liu, Ce Zhang,†, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou and Yongming Li. Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection, Remote Sensing. 2020, 12(3), 548; https://doi.org/10.3390/rs12030548 (SCI:WOS:000515393800207/EI: 20201008274907)
[49] XINKE LI, YONGCAI GUO , and YONGMING Li. Particle Swarm Optimization Based SVM for classification of Cable Surface Defects of the Cable-stayed Bridges. IEEE Access, 2020 (SCI:WOS:000524712900002/EI: 20201308334245)
[50] Yongming Li*, Yuanlin Zheng, Pin Wang, Xinzheng Zhang, Xiaoping Zeng, Xinke Li. Improved Age Estimation Mechanism from Medical Data Based on Deep Instance Weighting Fusion. Journal of Medical Imaging and Health Informatics, 2020,10(5):984–993 (SCI：WOS:000519753200002)
[51] Pin Wang, Qi Song, Yongming Li, Shanshan Lv, Jiaxin Wang, Linyu Li, HeHua Zhang，Cross-Task Extreme Learning Machine for Breast Cancer Image Classification with Deep Convolutional Features，Biomedical signal processing and control. 2020,57, https://doi.org/10.1016/j.bspc.2019.101789 (SCIWOS:000512481800048/EI: 20194907776065)
2019
[52] 李勇明*，刘玉川，王品. 基于加权局部判别保持投影嵌入集成算法的帕金森病识别，2019中国生物医学工程大会，2019，poster 壁报（15B-188 ）
[53] Liu, Yuchuan; Tan, Xiaoheng; Wang, Pin; Li, Yongming*; Zhang, Yanling. Recognition algorithm of Parkinson's disease based on weighted local discriminant preservation projection embedded ensemble algorithm. Conference: BIBE 2019 - The Third International Conference on Biological Information and Biomedical Engineering, 06/20/2019 - 06/22/2019 at Hangzhou, China
[54] Pin Wang, Yao Cao, Meifang Yin, Yongming Li, Shanshan Lv, Lixian Huang, Dayong Zhang, Yongquan Luo, and Jun Wu. Full-field burn depth detection based on near-infrared hyperspectral imaging and ensemble regression. Review of Scientific Instrument, 2019,90, 064103 (2019); doi: 10.1063/1.5034503 (SCIWOS:000474601100001/EI: 20192607084369)
[55] Yuchuan Liu, Xiaoheng Tan*, Yongming Li*, Pin Wang. Weighted Local Discriminant Preservation Projection Ensemble Algorithm with Embedded Micro-noise，IEEE Access，2019,7: 143814 - 143828,30 September 2019 (SCIWOS:000498834200001/EI：20194307573127)
[56] Pin Wang, Lirui Wang, Yongming Li, Qi Song, Shanshan Lv, Xianling Hu. Automatic Cell Nuclei Segmentation and Classification of Cervical Pap Smear Images. Biomedical signal processing & control, 48 (2019) 93–103 (SCIWOS:000452934400009/EI: 20184305992213)
[57] 张小恒，李勇明*，王品，曾孝平，颜芳，张艳玲，承欧梅. 基于语音卷积稀疏迁移学习和并行优选的帕金森病分类算法研究. 电子与信息学报，2019,41:1-9 （SCIWOS:000493396800016/ EI：20193707417180）
[58] 李勇明*，张成，王品，谢廷杰，曾孝平，张艳玲，承欧梅，颜芳. 面向帕金森病语音数据挖掘的分包融合集成算法. 生物医学工程学杂志，2019,36(4):548-556 (MEDLINE:31441254/EI: 20194407595162)
[59] Xiaoheng Zhang, Yongming Li. Pitch tracking algorithm based on evolutionary computing with regularisation in very low SNR. Journal of Engineering-JOE, 2019, 244: 1509-1514 (SCIWOS: 000451088400019，EI：20184806132724)
2018
[60] 李勇明*，肖洁，王品，颜芳. 基于封装式偏差回归的心脏生理和病理年龄估计算法. CCDM 2018 （第七届中国数据挖掘会议，2018），中国科技大学学报，2018,48(9):762-769
[61] Haitang Qiu, Xinke Li; Qinghua Luo; Yongming Li; Xichuan Zhou; Hailin Cao; Yuanhong Zhong, Mingui Sun. Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF). Journal of affective disorders, 2018, 244: 92-99, DOI:10.1016/j.jad.2018.10.099 (SCIWOS：000449234400016)
[62] Pin Wang*, Jie Wang, Lirui Wang, Meifang Yin, Yongming Li, Jun Wu. Classification of Pathogenic Bacteria using Near-infrared Diffuse Reflectance Spectroscopy Reflectance Spectroscopy. Journal of Applied Spectroscopy, 2018,85(6):904-911 (SCIWOS:000463906800007)
[63] Xinzheng Zhang * , Zhiying Tan, Guo Liu ,Hongqing Liu ,Yijian Wang ,Shujun Liu , Yongming Li , Hao Xu and Jili Xia. Adaptive Local Aspect Dictionary Pair Learning for Synthetic Aperture Radar Target Image Classification. Sensors, 2018, 18(9), 2940; doi:10.3390/s18092940 (SCIWOS: 000446940600199/EI:20183705809373)
[64] Yongming Li*, Tingjie Xie, Pin Wang, Jie Wang, Shujun Liu，Xichuan Zhou, Xinzheng Zhang. Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. Applied Intelligence, 2018，48(11):4128-4148 (SCIWOS：000446426900016/EI: 20182205265474)
[65] Xiaoheng Tan, Yuchuan Liu, Yongming Li*, Pin Wang, Xiaoping Zeng, Fang Yan, Xinke Li. Localized Instance Fusion of MRI data of Alzheimer’s disease for Classification based on Instance Transfer Ensemble Learning. Biomedical Engineering Online，2018,17:49, 2018,May, 2 (SCIWOS: 000431315900001 /EI: 20181805134175)
[66] Pin Wang ， Sha Xu ， Yongming Li ， Lirui Wang ， Qi Song. Feature-based analysis of cell nuclei structure for classification of histopathological images. Digital Signal Processing, 2018, 78:152-162 (SCIWOS:000431935000013/EI: 20181304938932)
2017
[67] Yongming Li*, Cheng Zhang, Yunjian Jia, Pin Wang, Xiaoheng Zhang, Tingjie Xie. Simultaneous Learning of Speech Feature and Segment for Classification of Parkinson Disease. IEEE Healthcom 2017，12-15 Oct. 2017 (EI：20182505338631，ISTP: 000426458000065)
[68] X Zhang ， Y Wang ， Z Tan ， D Li ， S Liu ，T Wang, Y Li. Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification. Sensors , 2017 , 17 (11) :2506 November (SCIWOS: 000416790500068 /EI: 20174504373909)
[69] Pin Wang*, Jie Wang, Meifang Yin, Yongming Li, Jun Wu. Optical detection of wound infection in vivo by near infrared diffuse reflectance. Spectroscopy letters, 2017：566-571 online: 23 Oct 2017 (SCIWOS: 000418066100009)
[70] Pin Wang*, Yao Cao, Meifang Yin, Yongming Li, Jun Wu. A burn depth detection system based on near infrared spectroscopy and ensemble learning. Review of Scientific Instruments,2017, 88(11):114302 01 Nov (SCIWOS: 000416780600041 / EI: 20174904511080)
[71] Yongming Li,* Yuchuan Liu, Pin Wang, Jie Wang, Sha Xu, Mingguo Qiu. Dependency Criterion based Brain Pathological Age Estimation of Alzheimer's Disease Patients with MR Scans. Biomedical Engineering Online， 2017, 16(1):50 2017 Apr 24 (SCIWOS: 000404940600002/EI: 20171703608895)
[72] Yongming Li*, Liuyang Yang, Pin Wang, Cheng Zhang, Jie Xiao, Yanling Zhang, Mingguo Qiu*. Classification of Parkinson's disease by Decision Tree based Instance Selection and Ensemble Learning algorithms. Journal of Medical Imaging and Health Informatics,，2017，7(2): 444–452 April 2017 (SCIWOS: 000400575200021 /EI：20164803072446)
[73] Wang Pin, Xu Sha, Li Yongming, Wang Jie, Liu Shujun. Hyperspectral image classification based on joint sparsity model with low-dimensional spectral-spatial features. Journal of Applied Remote Sensing, 2017,11(1):015010-1~015010-11 Date Published: 6 February 2017 (SCIWOS: 000397651200001 / EI: 20170903383337)
[74] Liu shujun, Wu guoqing, Zhang xinzheng, Zhang kui, Wang Pin, Li Yongming. SAR despeckling via classification based nonlocal and local sparse representation. Neurocomputing, 2017, 219(5): 174-185 (SCIWOS: 000390734300017 /EI: 20164903088939)
[75] Ping Wang, Yongming Li, Bohan Chen, Xianling Hu, Jin Yan. Proportional hybrid mechanism for population based feature selection algorithm. International Journal of Information Technology and Decision Making, 2017,16 (5) :1309-1338 (SCIWOS: 000411160700007)
[76] 李帆，李勇明，李传明，李志超，王健。正则化算法在CT图像重建上的应用。计算机系统应用，2017 (12) :143-147
[77] 朱雪茹，李勇明，李传明，李志超，王健，燕。基于双层字典学习的低剂量CT图像重建算法。北京生物医学工程，, 2017 (6) :584-590
[78] 张小恒，王力锐，曹垚，王品，张成，李勇明*，张艳玲，承欧梅. 混合语音段特征双边式优选算法用于帕金森病分类研究. 生物医学工程学杂志，2017,34 (6) :942-948 （EI: 20183505744856）
[79] 张小恒，李勇明，朱斌.范数正则化解相关集成学习基音频率检测.计算机工程与应用，2017,6
[80] 颜芳，李勇明*， 朱雪茹，汪洁, 王品, 李帆，邱明国, 覃剑.基于像素特征学习的磁共振图像中β淀粉样蛋白沉积信息检测算法. 生物医学工程学杂志， 2017 ,34(3) :431-438 （EI：20172803938923）
[81] 张小恒， 谢文宾， 李勇明. 基于进化算法低信噪比环境的基音频率检测. 现代电子技术，2017，40(11):46-52
[82] 王品，吴烨，李勇明，李帆，颜芳. 基于显微光谱的组织切片细胞纳米结构研究（An Insight into the Nanostructure of Cell on Histology Specimen via Microscopic Spectrum）. 光谱学与光谱分析（SPECTROSCOPY AND SPECTRAL ANALYSIS），2017 , 37 (06) :1843-1846 （SCIWOS：000403036200036）
[83] 王品，刘倩倩，王力锐 李勇明 刘书君 颜芳. 多特征聚类与粘连分离模型的细胞抹片图像分割与分类. 生物医学工程学杂志，2017, 34(4):614-621 （EI: 20173704153829）
[84] 刘书君#*, 杨婷，唐明春，王品，李勇明. 基于贝叶斯准则的随机共振算法研究，电子与信息学报，2017，39(2): 293-300. (EI: 20171103431380)
2016
[85] He-Hua Zhang, Liuyang Yang, Yuchuan Liu, Pin Wang, Jun Yin, Yongming Li*, Mingguo Qiu, Xueru Zhu, Fang Yan. Classification of Parkinson's Disease utilizing Multi-Edit Nearest-Neighbor and Ensemble Learning Algorithms with Speech Samples. Biomedical Engineering Online，2016，11.16 16 November 2016 (SCI: 000388338200001 / EI : 20164803072446)
[86] Yongming Li*, Xueru Zhu, Pin Wang, Jie Wang, Shujun Liu, Fan Li，Mingguo Qiu. Detection of Aβ Plaque Deposition in MR Images based on Pixel Feature Selection and Class Information in Image level. Biomedical Engineering Online，2016, 15:108 15 September 2016 (SCI: 000383839500001 /EI: 20163802830017)
[87] Yongming Li*, Fan Li, Pin Wang, Xueru Zhu, Shujun Liu, Mingguo Qiu, Jingna Zhang, Xiaoping Zeng. Estimating the Brain Pathological Age of Alzheimer’s Disease Patients from MR Image Data Based on the Separability Distance Criterion. Physics in Medicine and Biology，2016, 61(19):7162-7186 20 Sep 2016 (SCI:000385396100015 /EI:20164302928532)
[88] Pin Wang, Xuan He, Yongming Li, Xueru, Zhu, Wei Chen, Mingguo Qiu, Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images，Journal of Medical Imaging and Health Informatics, 2016, 6: 948-956 August 2016. (SCI: 000386493900009 )
[89] Pin Wang, Xianling Hu, Yongming Li, qianqian Liu, Xinjian Zhu, Automatic cell nuclei segmentation and classification of breast cancer histopathology images, Signal Processing, 2016, 122(9-10):1-13 May 2016 (SCI：000386493900009 /EI ：20160401843268)
[90] 马宁, 李勇明, 尹美芳, 张大勇, 王品, 骆永全, 龚雅利, 陈志强, 薛冬冬, 吴军. 基于支持向量机法的近红外光谱鉴别耐甲氧西林金葡菌和甲氧西林敏感金葡菌的研究. 解放军医学杂志, 2016，41(12): 1010-1014
[91] 李勇明*，李帆，朱雪茹，王品，刘书君，邱明国. 基于可分性距离判据和脑MR图像的AD症脑部年龄检测. 东南大学学报（自然科学版），2016, 46(6):1137-1142 (EI：20165103134191)
[92] 李勇明*，杨刘洋，刘玉川， 王品，邱明国， 谢文宾， 张小恒. 基于语音样本重复剪辑和随机森林的帕金森病诊断算法研究. 生物医学工程学杂志，2016, 33(6): 1053-1059 （EI：20165303200481）
[93] 刘书君;吴国庆;张新征;沈晓东;李勇明。基于线性最小均方误差估计的SAR图像降噪，系统工程与电子技术，2016, 38(4):785-791 （EI: 20161602262602）
[94] 张小恒， 谢文宾， 李勇明*. 多类型语音特征进化选择算法. 计算机工程与应用，2016, 52 (14): 150-155
[95] 李勇明*，吕洋，李帆，王品，邱明国，刘书君，闫谨。基于磁共振影像特征集成融合的AD诊断. 东南大学学报（自然科学版），2016, 46(2):271-276 (EI ：20161702304837)
[96] 刘书君，吴国庆，张新征，杨婷，李勇明. 基于非局部分类处理的 SAR 图像降斑. 系统工程与电子技术，2016 , 38 (3) :551-556 （EI: 20161302145167）
2015
[97] Yongming Li*, Jin Yan, Pin Wang, Yang Lv，Mingguo Qiu, and Xuan he, Classification of Alzheimer’s Disease Based on Multiple Anatomical Structures’ Asymmetric Magnetic Resonance Imaging Feature Selection. ICONIP 2015, 2015,11 (EI：20160101743910 / ISTPWOS:000373889900034)
[98] 王品，胡先玲，谢文宾，李勇明，刘书君.多尺度区域生长与去粘连模型的乳腺细胞分割. 仪器仪表学报, 2015, 36(7):1653-1659 （EI: 20153601245913）
[99] 王品，何璇，李勇明，吕洋，邱明国，刘书君. 基于多特征支持向量机和弹性区域生长的自动膝软骨分割. 吉林大学学报（工学版）, 2015,12-01 11:03:12 （EI: 20163802821942）
[100] 李勇明*，陈勃翰，王品. 基于模式识别的胸阻抗信号自动检测算法. 电子科技大学学报，2015,44（6）:952-955 (EI：20155101700388)
[101] 李勇明*，陈勃翰，王品. 采用密度加权和偏好信息的k均值聚类的胸阻抗信号自动检测算法，电子与信息学报，2015,37（4）：817-823 (EI: 20152000855579)
2014
[102] Wang Pin，Li Yong-ming，Chen Bo-han. Measurement of the anisotropy factor with azimuthal light backscattering. Optoelectronics letters, 2014,10(6):470-472 (EI: 20145200370500)
2012
[103] 王品，夏宇，李勇明，等. 一种小波混合优化算法用于脑磁共振图像配准. 计算机工程与应用，2012, 48(25): 188-193
[104] 李勇明*，高乙文，卢柳伊，王品, 张转侠, 张久权. 混合角点检测算法用于脑磁共振图像配准. 中国医学影像技术, 2012,28(2):356-360
[105] 李勇明*，周頔, 王洪辉，高乙文 .基于脑磁共振图像配准的动态联合角点检测算法.计算机科学，2012,39(6)：278-282，300
2011
[106] Y. Li*, Zhuanxia Zhang, Han Lai, Pin Wang. Dynamic Brain Magnetic Resonance Image Based on Inheritance Idea and PSO.CISP-BMEI 2011.15-17 October 2011 (EI: 20120314690519 /ISTP)
[107] Di Zhou, Yiwen Gao, Liuyi Lu, Honghui Wang, Yongming Li*, Pin Wang. Hybrid corner detection algorithm for brain magnetic resonance image registration. CISP-BMEI 2011: 308-313 (EI: 20120314690513 /ISTP)
[108] Di Zhou, Honghui Wang, Zhuanxia Zhang; Yongming Li*, Han Lai. Double order hybrid optimum codebook design for speaker recognition. ICECE 2011, International Conference on Electrical and Control Engineering (EI: 20114614517908)
2010
[109] Y. Li*, X. Zeng. Sequential Multi-Criteria Feature Selection Algorithm based on Agent Genetic Algorithm. Applied Intelligence, Springer, 2010,33(2):117-131 (SCI: 000281788900003, EI: 20103813247896)
[110] Y. Li*, X. Zeng. Multi-Population Co-Genetic Algorithm with Double Chain-Like Agents Structure for Parallel global numerical optimization. Applied Intelligence. Springer, 2010,32(3): 292-310 (SCI: WOS:000277282600005,591ER, EI: 20101912922678)
[111] Y. Li*, X.Zeng, Liang Han, Pin Wang. Two coding based adaptive parallel co-genetic algorithm with double agents structure. Engineering Applications of Artificial Intelligence, Elsevier, 2010, 23(4): 526-542 (SCI: WOS:000277872700010,598XH, EI: 20101512836028) (IFAC优秀论文奖)
[112] 赵德春,彭承琳,陈园园,李勇明.用形态学改进医学图像边缘检测算法.重庆大学学报自然版(中文),2010,33(2):123~126 (EI: 20101612868596)
2009
[113] Y. Li*, S.Zhang, X. Zeng. Research of Multi-Population Agent Genetic Algorithm for Feature Selection. Expert Systems With Applications, Elsevier, 2009,36(9):11570-11581 (SCI: 474GM, 000268270600018, EI: 20092512138582)
[114] B Liu, T.Duan, Y. Li*. One improved agent genetic algorithm - ring-like agent genetic algorithm for global numerical optimization. Asia Pacific Journal of Operational Research. World scientific, 2009, 26(4): 479-502 (SCI:WOS:000270041100003, 497FA, EI: 20094412403754)
[115] X.-P. Zeng, Y.-M. Li*, J Qin. A Dynamic Chain-like Agent Genetic Algorithm for Global Numerical Optimization and Feature Selection. Neurocomputing. Elsevier, 2009, 72(4): 1214-1228 (SCI: WOS:000263372000057,407NQ，EI: 090311865591)
[116] J Qin, X.-P. Zeng, Y.-M. Li. The Variable Scale Mean-Shift Tracking Using Local Information Fusion. Journal of Computational Information Systems. 2009,5(1):1553-9105 (EI: 20092212098710)
[117] 韩亮, 李勇明, 温罗生, 蒲秀娟, 王星. 基于非下采样Contourlet域高斯尺度混合模型的图像降噪. 光电子.激光, 2009,20(8): 1123-1128 (EI: 20094412411879)
[118] 周頔，李勇明*. 基于多智能体协同选择的智能导购模型. 计算机工程与应用，2009 45 (17): 200-203
[119] 覃剑，曾孝平，李勇明. 自适应宽带中值漂移目标跟踪算法. 软件学报，2009, 7 (EI: 20093112228099)
[120] 李勇明*，张素娟，曾孝平，覃剑，韩亮. 轮询式多准则特征选择算法研究. 系统仿真学报，2009,21(7) : 2010-2013+2017
[121] 李勇明*，周頔，曾孝平. 一种可用于数值优化的一维智能体遗传算法的研究. 系统仿真学报，2009,21(1) :23-27
[122] 周頔，李勇明*. 二步式轮询多准则特征选择算法. 计算机应用，2009, 29(1): 132-135,154
[123] 李勇明*，曾孝平，覃剑，韩亮. 一种用于尿沉渣图像的自适应阈值分割新方法. 生物医学工程学杂志，2009,24(1): 6-9
2008
[124] Y. Li*, and X. Zeng, Feature Selection Method with Multi-Population Agent Genetic Algorithm, Processing of the 15th Asia-Pacific Neural Network Assembly (ICONIP 2008), New Zealand. LNCS 5507,493-500 (EI: 20093912332029 , ISTP: BLN31)
[125] 曾孝平，张晓娟，李勇明*. 多子群协同链式智能体遗传算法分析. 重庆大学学报（自然科学版），2008，31（7）：781-785
[126] 覃剑，曾孝平，李勇明，曾浩. 基于视频分析的智能监控系统. 计算机工程与应用，2008， 44 (25): 6-8
[127] 李勇明*，曾孝平，陈燕飞，王靖，张晓娟，郑雅敏. 搜索空间逐步缩小的遗传算法用于尿沉渣图像特征优选的研究. 中国生物医学工程学报，2008, 27(6): 842-847
[128] 曾孝平，陈燕飞，李勇明*. 实数自适应并行遗传算法的研究. 计算机应用研究，2008,25(6): 1687-1689, 1735
[129] 曾孝平，郑雅敏，李勇明*，王靖，张晓娟. 基于多准则的链式智能体遗传算法用于特征选择的研究. 计算机应用研究，2008，25(5):1315-1318, 1322
[130] 李勇明*, 周頔，曾孝平，韩庆文. 内嵌多准则的遗传算法用于尿沉渣红白细胞的特征选择. 系统仿真学报，2008,20(14): 3853-3857,3863 (EI: 083411471802)
[131] 李勇明*，曾孝平. 基于双向遗传算法的尿沉渣红白细胞特征选择. 计算机工程，2008,34(3):215-216
[132] 李勇明*，曾孝平. 一种病态线性系统求解的新算法. 电路与系统学报，2008, 13(2):62-66
[133] 曾孝平，李勇明*，王靖，张晓娟，郑雅敏. 基于竞争策略的链式智能体遗传算法用于特征选择的研究. 系统仿真学报，2008, 20(8): 1973-1979 (EI：082011257240)
[134] 曾孝平，王靖，李勇明*，郑雅敏，张晓娟. 用于特征选择的多准则闭合链式遗传算法. 数据采集与处理，2008 , 23 (4) :383-389 (EI: 084111634049)
2007
[135] 李勇明*，曾孝平. 一种基于组合分割思想的尿沉渣图像分割新方法. 中国生物医学工程学报，2007，26(3): 394-403
[136] 周頔，李勇明*，曾孝平. 智能体遗传算法空间维数的比较研究. 计算机工程与应用，2007, 43(33):33-36.
2006
[137] X.-P. Zeng, Y.-M. Li*, L Han，Urinary Sediment Image Segmentation Based on Wavelet and Mathematical Morphology，Proceeding of 4th Multiconference on Computational Engineering in Systems Applications (CESA2006), Beijing, 2006.10. (WOS:000244084601070, EI: 20083811574893, ISTP:BFR75)
[138] Y.-M. Li*, X.-P. Zeng. A new strategy for urinary sediment segmentation based on Wavelet, morphology and combination method. Computer Methods and Programs in Biomedicine, Elsevier, 2006, 84: 162-173. (SCI: WOS:000242491600011,111YK, EI: 070210359295)
2005
[139] 李勇明*，王韬. 快速运动估计的自适应十字形搜索的改进. 计算机工程，2005，31(8): 177-179. (EI: 05239147586)
科研论文
录用
[1] Fan Li, Bo Wang, Pin Wang, Yinghua Shen, Yongming Li*. An overlapping oriented imbalanced ensemble learning algorithm with weighted projection clustering grouping and consistent fuzzy sample transformation. Information Sciences, accepted with minor revision （SCI）
[2] 李帆，张小恒，李勇明*，王品. 基于包络学习和分级结构一致性机制的不平衡集成算法，电子学报，录用 (EI)
[3] Chuanyan_Zhou, Jie Ma, Fan Li, Yongming Li*, Pin Wang. Neighboring Envelope Embedded Stacked Autoencoder for Deep Learning on Hierarchically Structured Samples. IEEE Transactions on Artificial Intelligence, accepted （EI）
2023
[4] 刘玉川;李浩;唐宇龙;梁杜鹃;谭佳;符?;李勇明. Brain Age Detection of Alzheimer's Disease Magnetic Resonance Images Based on Mutual Information-Support Vector Regression. Journal of Shanghai Jiao Tong University (Science), accepted (EI)
[5] Tang L, Ma J, Li Y. Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model. arXiv :2303.08538, 2023.
[6] YongmingLi, JinXu, Pin Wang*, Pufei Li, Gongxin Yang, Rui Chen. Manifold Reconstructed Semi-Supervised Domain Adaptation for Histopathology Images Classification, Biomedical Signal Processing and Control, online, 2023, 81 Share Link:
https://authors.elsevier.com/c/1gDoz6DBR35jIJ (SCI)
2022
[7] Yongming Li*, Chengyu Liu, Pin Wang, Hehua Zhang, Anhai Wei, Yanling Zhang. Envelope Multi-Type Transformation Ensemble Algorithm of Parkinson Speech Samples. Applied intelligence, online, 2022; share link: https://rdcu.be/c0Llq （SCI）
[8] Fan Li#, Bo Wang#, Pin Wang*, Yongming Li*. Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling. arXiv:2212.03182, 2022
[9] 张小恒，李勇明*，刘书君. 双阶段帕金森病语音聚类包络卷积稀疏迁移学习算法. 仪器仪表学报，2022,11 (EI)
[10] Zhengyang Wu, Yongming Li*, et al. A novel 2D hybrid visual projection fusion envelopes-based 3D lumbar vertebrae location and segmentation method. Computers in biology and medicine, on line, 2022 （SCI）
[11] Chuanyan Zhou, Jie Ma, Fan Li, Yongming Li*, Pin Wang, Xiaoheng Zhang. A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model. arXiv: 2210.14956, 2022
[12] Fan Li, Xiaoheng Zhang, Yongming Li*, Pin Wang. Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency. arXiv: 2206.13507, 2022
[13] Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li*. Deep instance envelope network-based imbalance learning algorithm with multilayer fuzzy C-means clustering and minimum interlayer discrepancy. Applied Soft Computing, 2022, 123, 108846 （SCI）
[14] Yang Li, Qiannan Shen, Mingfeng Jiang, Lingyan Zhu, Yongming Li, Pin Wang, Tie-Qiang Li. Accelerating Dynamic MRI Reconstruction Using Adaptive Sequentially Truncated Higher-Order Singular Value Decomposition. Current Medical Imaging Reviews, March 2022, 18, DOI: 10.2174/1573405618666220303101900
[15] 张小恒， 张馨月，李勇明*，王品，刘玉川. 面向帕金森语音诊断的非监督两步式卷积稀疏迁移学习算法，电子学报， 2022, 50 (1): 177-184. DOI: 10.12263/DZXB.20201003 （EI）
[16] Qian Yu, Xiaoya Zou, Fengying Quan, Zhaoying Dong, Huimei Yin, Jinjing Liu, Hongzhou Zuo, Jiaman Xu, Yu Han, Dezhi Zou, Yongming Li, Oumei Cheng. Parkinson's disease patients with freezing of gait have more severe voice impairment than non‑freezers during “ON state”，Journal of Neural Transmission，2022，https://doi.org/10.1007/s00702-021-02458-1
[17] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Mingfeng Jiang. Classification of histopathological whole slide images based on multiple weighted semi-supervised domain adaptation, Biomedical Signal Processing and Control, 73(2022):103400, DOI: 10.1016/j.bspc.2021.103400
[18] Pin Wang, Pufei Li, Yongming Li, Jin Xu, Fang Yan, Mingfeng Jiang. Deep manifold feature fusion for classifification of breast histopathology, Digital Signal Processing, 2022, 123 (2022) 103400
2021
[19] Mingyao Yang#, Jie Ma#, Pin Wang, Zhiyong Huang*, Yongming Li*, He Liu, Zeeshan Hameed. Dual-Stage Hierarchical Boost Hybrid Feature Reduction Ensemble Model of Parkinson's Disease Speech Data, Diagnostics, 2021,11(2)，2312; https://doi.org/10.3390/diagnostics11122312 (SCI)
[20] Yiwen Wang #, Fan Li #, Xiaoheng Zhang#, Pin Wang, Yongming Li*. Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data. arXiv: 2111.09014
[21] Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li*. Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy. arXiv: 2111.01371
[22] Yongming Li, Chengyu Liu, Pin Wang, Hehua Zhang, Anhai Wei. Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease, arXiv:2108.09922
[23] Fan Li, Yongming Li*, Pin Wang, Jie Xiao, Fang Yan, Xinke Li. Integrated Age Estimation Mechanism, arXiv:2103.06546
[24] Meifang Yin, Jiangfeng Li, Lixian Huang, Yongming Li, Mingzhou Yuan, Yongquan Luo, Ubaldo Armato, Lijun Zhang, Yating Wei, Yuanyuan Li, Jiawen Deng, Pin Wang, Wu Jun. Identification of Microbes in Wounds via Near-Infrared Spectroscopy. Burns, Available online 17 September 2021 (SCI)
[25] 张毅，秦小林，林远，李勇明*，王品，张祖伟，李小飞. 基于深层内嵌混合稀疏堆栈自动编码器和流形集成的精神病语音识别方法. 生物医学工程学杂志，2021, 38(4): 655-662 DOI: 10.7507/1001-5515.202010050（EI）
[26] Yueyang Li#, Bo Wang#, Haiyin Li, Xian Chang, Yu Wu, Zhilei Hu, Chenhao Liu, Xiaoxin Gao,Yuyao Zhang, Huan Liu, Yongming Li*, Changqing Li* （李悦洋、王博、李海音、常献、吴钰、胡志雷、刘晨浩、高小新、张雨尧、刘寰、李勇明、李长青）. Adjuvant surgical decision-making system for lumbar intervertebral disc herniation after percutaneous endoscopic lumber discectomy: a retrospective nonlinear multiple logistic regression prediction model based on a large sample. The Spine Journal, Available online 20 July 2021 (SCI, WOS:000726809900010; PubMed ID 34298160)
[27] Mingfeng Jiang, Minghao Zhi, Liying Wei, Xiaocheng Yang, Jucheng Zhang, Yongming Li, Pin Wang, Jiahao Huang, Guang Yang*. FA-GAN: Fused Attentive Generative Adversarial Networks for MRI Image Super-Resolution. Computerized Medical Imaging and Graphic, Available online 10 August 2021, 101969 (SCI)
[28] Xiaoheng Zhang# , Jie Ma# , Yongming Li*, Pin Wang, Yuchuan Liu. Few-shot Learning of Parkinson’s Disease Speech Data with Optimal Convolution Sparse Kernel Transfer Learning. Biomedical signal processing and control, 2021, 69, 102850,online (SCI)
[29] Jie Ma, Yuanfan Zhang, Yongming Li*, Lang Zhou, Lingyun Qin, Yuwei Zeng, Pin Wang, Yan Lei. Deep Dual-Side Learning Ensemble Model for Parkinson Speech Recognition. Biomedical signal processing and control, 2021, 69, 102849, online (SCI)
[30] Yongming Li*, Xinyue Zhang, Pin Wang, Xiaoheng Zhang*, Yuchuan Liu. Insight into an Unsupervised Two-Step Sparse Transfer Learning Algorithm for Speech Diagnosis of Parkinson’s disease. Neural Computing & Applications, 2021, Published: 09 February 2021 (SCI)
[31] Pan Huang*, Xiaoheng Tan, Chen Chen, Xiaoyi Lv and Yongming Li. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features. Sensors, 2021, 21, 122. https://doi.org/10.3390/s21010122 (SCI)
[32] Yongming Li*, Yan Lei, Pin Wang, Mingfeng Jiang, Yuchuan Liu. Embedded Stacked Group Sparse Autoencoder Ensemble with L1 Regularization and Manifold Reduction, Applied Soft Computing, 2021, 101, March 2021, 107003 (SCI)
[33] Yuchuan Liu, Yongming Li*, Xiaoheng Tan*, Pin Wang, Yanling Zhang. Local Discriminant Preservation Projection Embedded Ensemble Learning based Dimensionality Reduction of Speech Data of Parkinson's Disease, Biomedical signal processing and control, 2021,63,102165 (SCI)
[34] Pin Wang, Pufei Li, Yongming Li, Jiaxin Wang, Jin XU. Histopathological image classification based on cross-domain deep transferred feature fusion Biomedical signal processing and control, 2021,68,102705 (SCI)
[35] Pin Wang, Jiaxin Wang, Yongming Li, Pufei Li, Linyu Li, Mingfeng Jiang. Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing, Biomedical signal processing and control, 2021,65,102341 (SCI)
[36] Hong Chen#, Yuan Lin#, Yongming Li*, Wei Wang*, Pin Wang, Yan Lei. Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition. IEEE Access, 2021, PP(99):1-1 (SCI)
[37] Yin Meifang, Li Yongming, Luo Yongquan, Yuan Mingzhou, Armato Ubaldo, Pra Ilaria Dal, Zhang Lijun, Zhang Dayong, Wei Yating, Yang Guang,Huang, Lixian,Wang, Pin,Wu, Jun. A novel method for objectively, rapidly and accurately evaluating burn depth via near infrared spectroscopy. Burns & trauma, 2021, 9 (SCI)
2020
[38] Xiaojun Yuan, Mingfeng Jiang, Lingyan Zhu, Yang Li, Yongming Li, Pin Wang, Tie-Qiang Li. The Application of Plug-and-Play ADMM Framework and BM3D Denoiser for Compressed Sensing MR Image Reconstruction. International Journal of Computer Applications in Technology, 2020, accepted (EI)
[39] Yuan Zhenmou, Jiang Mingfeng, Wang Yaming, Wei Bo, Li Yongming, Wang Pin, Menpes-Smith, Wade, Niu, Zhangming, Yang, Guang. SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. Frontiers in Neuroinformatics, 2020,14
[40] 李勇明*，张元梵，叶昌荣，王品，曾孝平. 面向孕妇远程监护的智能信息处理方法研究进展综述. 生物医学工程学杂志，2020, 37(5): 910-917 （EI）
[41] 李新科，刘欣雨，李勇明，曹海林，陈艺航，林宜成，黄新鑫. 基于惯导信息和卷积神经网络的人体活动识别. 生物医学工程学杂志，2020，37(4):1-6 （EI）
[42] Pin Wang, Shanshan Lv , Yongming Li, Qi Song, Linyu Li, Jiaxin Wang, Hehua Zhang. Hybrid Deep Transfer Network and rotational sample subspace ensemble learning for early cancer detection. Journal of Medical Imaging and Health Informatics, 2020 (SCI)
[43] Yongming Li*, Lang Zhou, Lingyun Qin, Yuwei Zeng, Yuchuan Liu, Yan Lei, Pin Wang, Fan Li. Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition. arXiv:2006.11593,2020
[44] Yongming Li*, Fan Li, Yuanlin Zheng, Pin Wang*, Mingfeng Jiang, Xinke Li. Hierarchical Age Estimation Mechanism with AdaBoost-based Deep Instance Weighted Fusion, Journal of Experimental & Theoretical Artificial Intelligence, 2020, online. (SCIWOS:000536316600001/EI: 20202208761827)
[45] Pin Wang, Jiaxin Wang, Yongming Li, Linyu Li, and Hehua Zhang. Adaptive Pruning of Transfer Learned Deep Convolutional Neural Network for Classification of Cervical Pap Smear Images. IEEE Access, March, 2020 (SCI:WOS:000524898800004/EI：20201308359021)
[46] Yongming Li*, Yan Lei, Pin Wang, Yuchuan Liu. Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble. arXiv:2002.06761, 2020
[47] Xiaoheng Zhang, Yongming Li*, Pin Wang, Xiaoheng Tan, Yuchuan Liu. Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection. arXiv:2002.03716, 2020
[48] Xinzheng Zhang*,†,Guo Liu, Ce Zhang,†, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou and Yongming Li. Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection, Remote Sensing. 2020, 12(3), 548; https://doi.org/10.3390/rs12030548 (SCI:WOS:000515393800207/EI: 20201008274907)
[49] XINKE LI, YONGCAI GUO , and YONGMING Li. Particle Swarm Optimization Based SVM for classification of Cable Surface Defects of the Cable-stayed Bridges. IEEE Access, 2020 (SCI:WOS:000524712900002/EI: 20201308334245)
[50] Yongming Li*, Yuanlin Zheng, Pin Wang, Xinzheng Zhang, Xiaoping Zeng, Xinke Li. Improved Age Estimation Mechanism from Medical Data Based on Deep Instance Weighting Fusion. Journal of Medical Imaging and Health Informatics, 2020,10(5):984–993 (SCI：WOS:000519753200002)
[51] Pin Wang, Qi Song, Yongming Li, Shanshan Lv, Jiaxin Wang, Linyu Li, HeHua Zhang，Cross-Task Extreme Learning Machine for Breast Cancer Image Classification with Deep Convolutional Features，Biomedical signal processing and control. 2020,57, https://doi.org/10.1016/j.bspc.2019.101789 (SCIWOS:000512481800048/EI: 20194907776065)
2019
[52] 李勇明*，刘玉川，王品. 基于加权局部判别保持投影嵌入集成算法的帕金森病识别，2019中国生物医学工程大会，2019，poster 壁报（15B-188 ）
[53] Liu, Yuchuan; Tan, Xiaoheng; Wang, Pin; Li, Yongming*; Zhang, Yanling. Recognition algorithm of Parkinson's disease based on weighted local discriminant preservation projection embedded ensemble algorithm. Conference: BIBE 2019 - The Third International Conference on Biological Information and Biomedical Engineering, 06/20/2019 - 06/22/2019 at Hangzhou, China
[54] Pin Wang, Yao Cao, Meifang Yin, Yongming Li, Shanshan Lv, Lixian Huang, Dayong Zhang, Yongquan Luo, and Jun Wu. Full-field burn depth detection based on near-infrared hyperspectral imaging and ensemble regression. Review of Scientific Instrument, 2019,90, 064103 (2019); doi: 10.1063/1.5034503 (SCIWOS:000474601100001/EI: 20192607084369)
[55] Yuchuan Liu, Xiaoheng Tan*, Yongming Li*, Pin Wang. Weighted Local Discriminant Preservation Projection Ensemble Algorithm with Embedded Micro-noise，IEEE Access，2019,7: 143814 - 143828,30 September 2019 (SCIWOS:000498834200001/EI：20194307573127)
[56] Pin Wang, Lirui Wang, Yongming Li, Qi Song, Shanshan Lv, Xianling Hu. Automatic Cell Nuclei Segmentation and Classification of Cervical Pap Smear Images. Biomedical signal processing & control, 48 (2019) 93–103 (SCIWOS:000452934400009/EI: 20184305992213)
[57] 张小恒，李勇明*，王品，曾孝平，颜芳，张艳玲，承欧梅. 基于语音卷积稀疏迁移学习和并行优选的帕金森病分类算法研究. 电子与信息学报，2019,41:1-9 （SCIWOS:000493396800016/ EI：20193707417180）
[58] 李勇明*，张成，王品，谢廷杰，曾孝平，张艳玲，承欧梅，颜芳. 面向帕金森病语音数据挖掘的分包融合集成算法. 生物医学工程学杂志，2019,36(4):548-556 (MEDLINE:31441254/EI: 20194407595162)
[59] Xiaoheng Zhang, Yongming Li. Pitch tracking algorithm based on evolutionary computing with regularisation in very low SNR. Journal of Engineering-JOE, 2019, 244: 1509-1514 (SCIWOS: 000451088400019，EI：20184806132724)
2018
[60] 李勇明*，肖洁，王品，颜芳. 基于封装式偏差回归的心脏生理和病理年龄估计算法. CCDM 2018 （第七届中国数据挖掘会议，2018），中国科技大学学报，2018,48(9):762-769
[61] Haitang Qiu, Xinke Li; Qinghua Luo; Yongming Li; Xichuan Zhou; Hailin Cao; Yuanhong Zhong, Mingui Sun. Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF). Journal of affective disorders, 2018, 244: 92-99, DOI:10.1016/j.jad.2018.10.099 (SCIWOS：000449234400016)
[62] Pin Wang*, Jie Wang, Lirui Wang, Meifang Yin, Yongming Li, Jun Wu. Classification of Pathogenic Bacteria using Near-infrared Diffuse Reflectance Spectroscopy Reflectance Spectroscopy. Journal of Applied Spectroscopy, 2018,85(6):904-911 (SCIWOS:000463906800007)
[63] Xinzheng Zhang * , Zhiying Tan, Guo Liu ,Hongqing Liu ,Yijian Wang ,Shujun Liu , Yongming Li , Hao Xu and Jili Xia. Adaptive Local Aspect Dictionary Pair Learning for Synthetic Aperture Radar Target Image Classification. Sensors, 2018, 18(9), 2940; doi:10.3390/s18092940 (SCIWOS: 000446940600199/EI:20183705809373)
[64] Yongming Li*, Tingjie Xie, Pin Wang, Jie Wang, Shujun Liu，Xichuan Zhou, Xinzheng Zhang. Joint spectral-spatial hyperspectral image classification based on hierarchical subspace switch ensemble learning algorithm. Applied Intelligence, 2018，48(11):4128-4148 (SCIWOS：000446426900016/EI: 20182205265474)
[65] Xiaoheng Tan, Yuchuan Liu, Yongming Li*, Pin Wang, Xiaoping Zeng, Fang Yan, Xinke Li. Localized Instance Fusion of MRI data of Alzheimer’s disease for Classification based on Instance Transfer Ensemble Learning. Biomedical Engineering Online，2018,17:49, 2018,May, 2 (SCIWOS: 000431315900001 /EI: 20181805134175)
[66] Pin Wang ， Sha Xu ， Yongming Li ， Lirui Wang ， Qi Song. Feature-based analysis of cell nuclei structure for classification of histopathological images. Digital Signal Processing, 2018, 78:152-162 (SCIWOS:000431935000013/EI: 20181304938932)
2017
[67] Yongming Li*, Cheng Zhang, Yunjian Jia, Pin Wang, Xiaoheng Zhang, Tingjie Xie. Simultaneous Learning of Speech Feature and Segment for Classification of Parkinson Disease. IEEE Healthcom 2017，12-15 Oct. 2017 (EI：20182505338631，ISTP: 000426458000065)
[68] X Zhang ， Y Wang ， Z Tan ， D Li ， S Liu ，T Wang, Y Li. Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification. Sensors , 2017 , 17 (11) :2506 November (SCIWOS: 000416790500068 /EI: 20174504373909)
[69] Pin Wang*, Jie Wang, Meifang Yin, Yongming Li, Jun Wu. Optical detection of wound infection in vivo by near infrared diffuse reflectance. Spectroscopy letters, 2017：566-571 online: 23 Oct 2017 (SCIWOS: 000418066100009)
[70] Pin Wang*, Yao Cao, Meifang Yin, Yongming Li, Jun Wu. A burn depth detection system based on near infrared spectroscopy and ensemble learning. Review of Scientific Instruments,2017, 88(11):114302 01 Nov (SCIWOS: 000416780600041 / EI: 20174904511080)
[71] Yongming Li,* Yuchuan Liu, Pin Wang, Jie Wang, Sha Xu, Mingguo Qiu. Dependency Criterion based Brain Pathological Age Estimation of Alzheimer's Disease Patients with MR Scans. Biomedical Engineering Online， 2017, 16(1):50 2017 Apr 24 (SCIWOS: 000404940600002/EI: 20171703608895)
[72] Yongming Li*, Liuyang Yang, Pin Wang, Cheng Zhang, Jie Xiao, Yanling Zhang, Mingguo Qiu*. Classification of Parkinson's disease by Decision Tree based Instance Selection and Ensemble Learning algorithms. Journal of Medical Imaging and Health Informatics,，2017，7(2): 444–452 April 2017 (SCIWOS: 000400575200021 /EI：20164803072446)
[73] Wang Pin, Xu Sha, Li Yongming, Wang Jie, Liu Shujun. Hyperspectral image classification based on joint sparsity model with low-dimensional spectral-spatial features. Journal of Applied Remote Sensing, 2017,11(1):015010-1~015010-11 Date Published: 6 February 2017 (SCIWOS: 000397651200001 / EI: 20170903383337)
[74] Liu shujun, Wu guoqing, Zhang xinzheng, Zhang kui, Wang Pin, Li Yongming. SAR despeckling via classification based nonlocal and local sparse representation. Neurocomputing, 2017, 219(5): 174-185 (SCIWOS: 000390734300017 /EI: 20164903088939)
[75] Ping Wang, Yongming Li, Bohan Chen, Xianling Hu, Jin Yan. Proportional hybrid mechanism for population based feature selection algorithm. International Journal of Information Technology and Decision Making, 2017,16 (5) :1309-1338 (SCIWOS: 000411160700007)
[76] 李帆，李勇明，李传明，李志超，王健。正则化算法在CT图像重建上的应用。计算机系统应用，2017 (12) :143-147
[77] 朱雪茹，李勇明，李传明，李志超，王健，燕。基于双层字典学习的低剂量CT图像重建算法。北京生物医学工程，, 2017 (6) :584-590
[78] 张小恒，王力锐，曹垚，王品，张成，李勇明*，张艳玲，承欧梅. 混合语音段特征双边式优选算法用于帕金森病分类研究. 生物医学工程学杂志，2017,34 (6) :942-948 （EI: 20183505744856）
[79] 张小恒，李勇明，朱斌.范数正则化解相关集成学习基音频率检测.计算机工程与应用，2017,6
[80] 颜芳，李勇明*， 朱雪茹，汪洁, 王品, 李帆，邱明国, 覃剑.基于像素特征学习的磁共振图像中β淀粉样蛋白沉积信息检测算法. 生物医学工程学杂志， 2017 ,34(3) :431-438 （EI：20172803938923）
[81] 张小恒， 谢文宾， 李勇明. 基于进化算法低信噪比环境的基音频率检测. 现代电子技术，2017，40(11):46-52
[82] 王品，吴烨，李勇明，李帆，颜芳. 基于显微光谱的组织切片细胞纳米结构研究（An Insight into the Nanostructure of Cell on Histology Specimen via Microscopic Spectrum）. 光谱学与光谱分析（SPECTROSCOPY AND SPECTRAL ANALYSIS），2017 , 37 (06) :1843-1846 （SCIWOS：000403036200036）
[83] 王品，刘倩倩，王力锐 李勇明 刘书君 颜芳. 多特征聚类与粘连分离模型的细胞抹片图像分割与分类. 生物医学工程学杂志，2017, 34(4):614-621 （EI: 20173704153829）
[84] 刘书君#*, 杨婷，唐明春，王品，李勇明. 基于贝叶斯准则的随机共振算法研究，电子与信息学报，2017，39(2): 293-300. (EI: 20171103431380)
2016
[85] He-Hua Zhang, Liuyang Yang, Yuchuan Liu, Pin Wang, Jun Yin, Yongming Li*, Mingguo Qiu, Xueru Zhu, Fang Yan. Classification of Parkinson's Disease utilizing Multi-Edit Nearest-Neighbor and Ensemble Learning Algorithms with Speech Samples. Biomedical Engineering Online，2016，11.16 16 November 2016 (SCI: 000388338200001 / EI : 20164803072446)
[86] Yongming Li*, Xueru Zhu, Pin Wang, Jie Wang, Shujun Liu, Fan Li，Mingguo Qiu. Detection of Aβ Plaque Deposition in MR Images based on Pixel Feature Selection and Class Information in Image level. Biomedical Engineering Online，2016, 15:108 15 September 2016 (SCI: 000383839500001 /EI: 20163802830017)
[87] Yongming Li*, Fan Li, Pin Wang, Xueru Zhu, Shujun Liu, Mingguo Qiu, Jingna Zhang, Xiaoping Zeng. Estimating the Brain Pathological Age of Alzheimer’s Disease Patients from MR Image Data Based on the Separability Distance Criterion. Physics in Medicine and Biology，2016, 61(19):7162-7186 20 Sep 2016 (SCI:000385396100015 /EI:20164302928532)
[88] Pin Wang, Xuan He, Yongming Li, Xueru, Zhu, Wei Chen, Mingguo Qiu, Automatic Knee Cartilage Segmentation Using Multi-Feature Support Vector Machine and Elastic Region Growing for Magnetic Resonance Images，Journal of Medical Imaging and Health Informatics, 2016, 6: 948-956 August 2016. (SCI: 000386493900009 )
[89] Pin Wang, Xianling Hu, Yongming Li, qianqian Liu, Xinjian Zhu, Automatic cell nuclei segmentation and classification of breast cancer histopathology images, Signal Processing, 2016, 122(9-10):1-13 May 2016 (SCI：000386493900009 /EI ：20160401843268)
[90] 马宁, 李勇明, 尹美芳, 张大勇, 王品, 骆永全, 龚雅利, 陈志强, 薛冬冬, 吴军. 基于支持向量机法的近红外光谱鉴别耐甲氧西林金葡菌和甲氧西林敏感金葡菌的研究. 解放军医学杂志, 2016，41(12): 1010-1014
[91] 李勇明*，李帆，朱雪茹，王品，刘书君，邱明国. 基于可分性距离判据和脑MR图像的AD症脑部年龄检测. 东南大学学报（自然科学版），2016, 46(6):1137-1142 (EI：20165103134191)
[92] 李勇明*，杨刘洋，刘玉川， 王品，邱明国， 谢文宾， 张小恒. 基于语音样本重复剪辑和随机森林的帕金森病诊断算法研究. 生物医学工程学杂志，2016, 33(6): 1053-1059 （EI：20165303200481）
[93] 刘书君;吴国庆;张新征;沈晓东;李勇明。基于线性最小均方误差估计的SAR图像降噪，系统工程与电子技术，2016, 38(4):785-791 （EI: 20161602262602）
[94] 张小恒， 谢文宾， 李勇明*. 多类型语音特征进化选择算法. 计算机工程与应用，2016, 52 (14): 150-155
[95] 李勇明*，吕洋，李帆，王品，邱明国，刘书君，闫谨。基于磁共振影像特征集成融合的AD诊断. 东南大学学报（自然科学版），2016, 46(2):271-276 (EI ：20161702304837)
[96] 刘书君，吴国庆，张新征，杨婷，李勇明. 基于非局部分类处理的 SAR 图像降斑. 系统工程与电子技术，2016 , 38 (3) :551-556 （EI: 20161302145167）
2015
[97] Yongming Li*, Jin Yan, Pin Wang, Yang Lv，Mingguo Qiu, and Xuan he, Classification of Alzheimer’s Disease Based on Multiple Anatomical Structures’ Asymmetric Magnetic Resonance Imaging Feature Selection. ICONIP 2015, 2015,11 (EI：20160101743910 / ISTPWOS:000373889900034)
[98] 王品，胡先玲，谢文宾，李勇明，刘书君.多尺度区域生长与去粘连模型的乳腺细胞分割. 仪器仪表学报, 2015, 36(7):1653-1659 （EI: 20153601245913）
[99] 王品，何璇，李勇明，吕洋，邱明国，刘书君. 基于多特征支持向量机和弹性区域生长的自动膝软骨分割. 吉林大学学报（工学版）, 2015,12-01 11:03:12 （EI: 20163802821942）
[100] 李勇明*，陈勃翰，王品. 基于模式识别的胸阻抗信号自动检测算法. 电子科技大学学报，2015,44（6）:952-955 (EI：20155101700388)
[101] 李勇明*，陈勃翰，王品. 采用密度加权和偏好信息的k均值聚类的胸阻抗信号自动检测算法，电子与信息学报，2015,37（4）：817-823 (EI: 20152000855579)
2014
[102] Wang Pin，Li Yong-ming，Chen Bo-han. Measurement of the anisotropy factor with azimuthal light backscattering. Optoelectronics letters, 2014,10(6):470-472 (EI: 20145200370500)
2012
[103] 王品，夏宇，李勇明，等. 一种小波混合优化算法用于脑磁共振图像配准. 计算机工程与应用，2012, 48(25): 188-193
[104] 李勇明*，高乙文，卢柳伊，王品, 张转侠, 张久权. 混合角点检测算法用于脑磁共振图像配准. 中国医学影像技术, 2012,28(2):356-360
[105] 李勇明*，周頔, 王洪辉，高乙文 .基于脑磁共振图像配准的动态联合角点检测算法.计算机科学，2012,39(6)：278-282，300
2011
[106] Y. Li*, Zhuanxia Zhang, Han Lai, Pin Wang. Dynamic Brain Magnetic Resonance Image Based on Inheritance Idea and PSO.CISP-BMEI 2011.15-17 October 2011 (EI: 20120314690519 /ISTP)
[107] Di Zhou, Yiwen Gao, Liuyi Lu, Honghui Wang, Yongming Li*, Pin Wang. Hybrid corner detection algorithm for brain magnetic resonance image registration. CISP-BMEI 2011: 308-313 (EI: 20120314690513 /ISTP)
[108] Di Zhou, Honghui Wang, Zhuanxia Zhang; Yongming Li*, Han Lai. Double order hybrid optimum codebook design for speaker recognition. ICECE 2011, International Conference on Electrical and Control Engineering (EI: 20114614517908)
2010
[109] Y. Li*, X. Zeng. Sequential Multi-Criteria Feature Selection Algorithm based on Agent Genetic Algorithm. Applied Intelligence, Springer, 2010,33(2):117-131 (SCI: 000281788900003, EI: 20103813247896)
[110] Y. Li*, X. Zeng. Multi-Population Co-Genetic Algorithm with Double Chain-Like Agents Structure for Parallel global numerical optimization. Applied Intelligence. Springer, 2010,32(3): 292-310 (SCI: WOS:000277282600005,591ER, EI: 20101912922678)
[111] Y. Li*, X.Zeng, Liang Han, Pin Wang. Two coding based adaptive parallel co-genetic algorithm with double agents structure. Engineering Applications of Artificial Intelligence, Elsevier, 2010, 23(4): 526-542 (SCI: WOS:000277872700010,598XH, EI: 20101512836028) (IFAC优秀论文奖)
[112] 赵德春,彭承琳,陈园园,李勇明.用形态学改进医学图像边缘检测算法.重庆大学学报自然版(中文),2010,33(2):123~126 (EI: 20101612868596)
2009
[113] Y. Li*, S.Zhang, X. Zeng. Research of Multi-Population Agent Genetic Algorithm for Feature Selection. Expert Systems With Applications, Elsevier, 2009,36(9):11570-11581 (SCI: 474GM, 000268270600018, EI: 20092512138582)
[114] B Liu, T.Duan, Y. Li*. One improved agent genetic algorithm - ring-like agent genetic algorithm for global numerical optimization. Asia Pacific Journal of Operational Research. World scientific, 2009, 26(4): 479-502 (SCI:WOS:000270041100003, 497FA, EI: 20094412403754)
[115] X.-P. Zeng, Y.-M. Li*, J Qin. A Dynamic Chain-like Agent Genetic Algorithm for Global Numerical Optimization and Feature Selection. Neurocomputing. Elsevier, 2009, 72(4): 1214-1228 (SCI: WOS:000263372000057,407NQ，EI: 090311865591)
[116] J Qin, X.-P. Zeng, Y.-M. Li. The Variable Scale Mean-Shift Tracking Using Local Information Fusion. Journal of Computational Information Systems. 2009,5(1):1553-9105 (EI: 20092212098710)
[117] 韩亮, 李勇明, 温罗生, 蒲秀娟, 王星. 基于非下采样Contourlet域高斯尺度混合模型的图像降噪. 光电子.激光, 2009,20(8): 1123-1128 (EI: 20094412411879)
[118] 周頔，李勇明*. 基于多智能体协同选择的智能导购模型. 计算机工程与应用，2009 45 (17): 200-203
[119] 覃剑，曾孝平，李勇明. 自适应宽带中值漂移目标跟踪算法. 软件学报，2009, 7 (EI: 20093112228099)
[120] 李勇明*，张素娟，曾孝平，覃剑，韩亮. 轮询式多准则特征选择算法研究. 系统仿真学报，2009,21(7) : 2010-2013+2017
[121] 李勇明*，周頔，曾孝平. 一种可用于数值优化的一维智能体遗传算法的研究. 系统仿真学报，2009,21(1) :23-27
[122] 周頔，李勇明*. 二步式轮询多准则特征选择算法. 计算机应用，2009, 29(1): 132-135,154
[123] 李勇明*，曾孝平，覃剑，韩亮. 一种用于尿沉渣图像的自适应阈值分割新方法. 生物医学工程学杂志，2009,24(1): 6-9
2008
[124] Y. Li*, and X. Zeng, Feature Selection Method with Multi-Population Agent Genetic Algorithm, Processing of the 15th Asia-Pacific Neural Network Assembly (ICONIP 2008), New Zealand. LNCS 5507,493-500 (EI: 20093912332029 , ISTP: BLN31)
[125] 曾孝平，张晓娟，李勇明*. 多子群协同链式智能体遗传算法分析. 重庆大学学报（自然科学版），2008，31（7）：781-785
[126] 覃剑，曾孝平，李勇明，曾浩. 基于视频分析的智能监控系统. 计算机工程与应用，2008， 44 (25): 6-8
[127] 李勇明*，曾孝平，陈燕飞，王靖，张晓娟，郑雅敏. 搜索空间逐步缩小的遗传算法用于尿沉渣图像特征优选的研究. 中国生物医学工程学报，2008, 27(6): 842-847
[128] 曾孝平，陈燕飞，李勇明*. 实数自适应并行遗传算法的研究. 计算机应用研究，2008,25(6): 1687-1689, 1735
[129] 曾孝平，郑雅敏，李勇明*，王靖，张晓娟. 基于多准则的链式智能体遗传算法用于特征选择的研究. 计算机应用研究，2008，25(5):1315-1318, 1322
[130] 李勇明*, 周頔，曾孝平，韩庆文. 内嵌多准则的遗传算法用于尿沉渣红白细胞的特征选择. 系统仿真学报，2008,20(14): 3853-3857,3863 (EI: 083411471802)
[131] 李勇明*，曾孝平. 基于双向遗传算法的尿沉渣红白细胞特征选择. 计算机工程，2008,34(3):215-216
[132] 李勇明*，曾孝平. 一种病态线性系统求解的新算法. 电路与系统学报，2008, 13(2):62-66
[133] 曾孝平，李勇明*，王靖，张晓娟，郑雅敏. 基于竞争策略的链式智能体遗传算法用于特征选择的研究. 系统仿真学报，2008, 20(8): 1973-1979 (EI：082011257240)
[134] 曾孝平，王靖，李勇明*，郑雅敏，张晓娟. 用于特征选择的多准则闭合链式遗传算法. 数据采集与处理，2008 , 23 (4) :383-389 (EI: 084111634049)
2007
[135] 李勇明*，曾孝平. 一种基于组合分割思想的尿沉渣图像分割新方法. 中国生物医学工程学报，2007，26(3): 394-403
[136] 周頔，李勇明*，曾孝平. 智能体遗传算法空间维数的比较研究. 计算机工程与应用，2007, 43(33):33-36.
2006
[137] X.-P. Zeng, Y.-M. Li*, L Han，Urinary Sediment Image Segmentation Based on Wavelet and Mathematical Morphology，Proceeding of 4th Multiconference on Computational Engineering in Systems Applications (CESA2006), Beijing, 2006.10. (WOS:000244084601070, EI: 20083811574893, ISTP:BFR75)
[138] Y.-M. Li*, X.-P. Zeng. A new strategy for urinary sediment segmentation based on Wavelet, morphology and combination method. Computer Methods and Programs in Biomedicine, Elsevier, 2006, 84: 162-173. (SCI: WOS:000242491600011,111YK, EI: 070210359295)
2005
[139] 李勇明*，王韬. 快速运动估计的自适应十字形搜索的改进. 计算机工程，2005，31(8): 177-179. (EI: 05239147586)