李孟山，男，教授，工学博士，硕士生导师，江西赣州南康人，主要从事大数据与人工智能算法的教学与研究工作；热衷于羽毛球、乒乓球和篮球运动，以“健康，品德，才能”三位一体为目标育人。
个人主页：//www.scholat.com/mengshanli.cn
一、主要研究课题
主要通过先进的人工智能方法和大数据技术，围绕农业农村特色产业中的化学、材料、生物和医学等现代科学问题开展研究，主要在电子信息（计算机方向）和控制科学与工程专业招收和培养硕士研究生。主要研究课题领域如下：
1. 交叉学科中的人工智能与大数据算法（机器学习和深度学习）
Ø化学生物信息学中的人工智能与大数据方法
Ø智慧教育中的人工智能与大数据方法
Ø大数据大模型的人工智能算法
2. 知识图谱系统工程
Ø知识图谱构建中的若干关键技术
Ø大规模动态知识图谱信息系统、推荐系统、问答系统等
Ø多模态大模型、多模态知识图谱
Ø智慧教育（学科、专业、课程）知识图谱
3. 区块链关键技术与应用
Ø区块链中的若干关键技术研究
Ø区块链+图谱
Ø智慧教育链
二、主要工作业绩
近年主持国家自然科学基金2项，教育部高等教育司2017年产学合作协同育人项目1项，主持省部级课题2项，参与国家自然科学基金项目4项；《Chemical Reviews》、《Nature Communications》、《IEEE Transactions on Cybernetics》、《IEEE Transactions on Fuzzy Systems》等40余本权威SCI收录期刊特邀审稿人。
以第一作者或通讯作者在国内外重要期刊上发表论文80余篇，其中SCI 收录40余篇
三、代表性论文
[1]. Wei W, Mengshan L, Yan W, Lixin G, Cluster energy prediction based on multiple strategy fusion whale optimization algorithm and light gradient boosting machine, BMC Chemistry, 2024; 18: 24.
[2]. Mengshan L, Wei W, Bingsheng C, Lixin G, Yan W, et al., Multi-scale model integrated particle dynamics and evolutionary algorithm with the coarse-grained particle partitioning ratio strategy for calculating the dissolution behaviors of supercritical carbon dioxide in polymer fluids, Journal Of Molecular Liquids, 2024; 396: 124018.
[3]. Hu W, Li M, Xiao H, Guan L, Essential genes identification model based on sequence feature map and graph convolutional neural network, Bmc Genomics, 2024; 25: 47.
[4]. Yan W, Tan L, Mengshan L, Weihong Z, Sheng S, et al., Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction, Bmc Genomics, 2023; 24: 758.
[5]. Yan W, Tan L, Meng-Shan L, Sheng S, Jun W, et al., SaPt-CNN-LSTM-AR-EA: a hybrid ensemble learning framework for time series-based multivariate DNA sequence prediction, Peerj, 2023; 11: e16192.
[6]. Wei S, Liu Y, Li M, Huang H, Zheng X, et al., DCCaps-UNet: A U-Shaped Hyperspectral Semantic Segmentation Model Based on the Depthwise Separable and Conditional Convolution Capsule Network, Remote Sensing, 2023; 15: 3177.
[7]. Liu Y, Wei S, Huang H, Lai Q, Li M, et al., Naming Entity recognition of citrus pests and diseases based on the BERT-BiLSTM-CRF model, Expert Systems With Applications, 2023: 121103.
[8]. Li M, Zeng M, Zhang H, Chen H, Guan L, Biological Activity Predictions of Ligands Based on Hybrid Molecular Fingerprinting and Ensemble Learning, Acs Omega, 2023; 8: 5561-5570.
[9]. Hu W, Guan L, Li M, Prediction of DNA Methylation based on Multi-dimensional feature encoding and double convolutional fully connected convolutional neural network, Plos Computational Biology, 2023; 19: e1011370.
[10]. Biyu H, GuangWen T, Ming Z, Lixin G, Mengshan L, A lncRNA-disease association prediction model based on the two-step PU learning and fully connected neural networks, Heliyon, 2023; 9: e17726.
[11]. Wu Y, Zhang H, Li M-s, Sheng S, Wang J, et al., A double-population chaotic self-adaptive evolutionary dynamics model for the prediction of supercritical carbon dioxide solubility in polymers, Royal Society Open Science, 2022; 9: 211419.
[12]. Li M, Zeng M, Chen B, Guan L, Wu Y, et al., A microscopic computational model based on particle dynamics and evolutionary algorithm for the prediction of gas solubility in polymers, Journal Of Molecular Liquids, 2022; 365: 120169.
[13]. Li M, Chen H, Zhang H, Zeng M, Chen B, et al., Prediction of the Aqueous Solubility of Compounds Based on Light Gradient Boosting Machines with Molecular Fingerprints and the Cuckoo Search Algorithm, Acs Omega, 2022; 7: 42027-42035.
[14]. Chen H, Zeng M, Zhang H, Chen B, Guan L, et al., Prediction of Carbon Dioxide Solubility in Polymers Based on Adaptive Particle Swarm Optimization and Least Squares Support Vector Machine, ChemistrySelect, 2022; 7: e202104447.
[15]. Chen B, Chen H, Li M, Automatic quality inspection system for discrete manufacturing based on the Internet of Things, Computers & Electrical Engineering, 2021; 95: 107435.
[16]. Li MS, Lian SY, Wang F, Zhou YY, Chen BS, et al., Neural network modeling based double-population chaotic accelerated particle swarm optimization and diffusion theory for solubility prediction, Chemical Engineering Research & Design, 2020; 155: 98-107.
[17]. Li MS, Lian SY, Wang F, Zhou YY, Chen BS, et al., A decision support system using hybrid AI based on multi-image quality model and its application in color design, Future Generation Computer Systems, 2020; 113: 70-77.
[18]. Li M, Zhang J, Zou Y, Wang F, Chen B, et al., Models for the solubility calculation of a CO2/polymer system: A review, Materials Today Communications, 2020; 25: 101277.
