李卫军
李卫军，博士，研究员，博士生导师，高速电路与神经网络实验室主任，中国科学院大学岗位教授，中国科学院稳定支持基础研究领域青年团队计划项目核心成员，中国人工智能学会神经网络与计算智能专委会副主任委员，国际高性能大数据及智能系统会议（International Conference on High Performance Big Data and Intelligent Systems, HDIS）指导委员会委员，HDIS2019~2023程序委员会共同主席。主持国家级、省部级及产学研合作项目20余项，发表IEEE TNNLS/TIP /TCSVT/TSPL、NN、Neurocomputing、Information Fusion、PR、ICLR等国际知名期刊、会议学术论文150余篇，出版学术著作2部，授权发明专利30余项，完成科研成果转化10余项。
长期从事人工智能领域的学术研究与成果产业化工作，带领团队取得以下代表性成果：（1）系统研究人工神经网理论与方法，探索深度建模与求解方法与技术，研究出符号网络、EncoderX等新模型，研制出模式识别专用神经网络计算机系统；（2）研究智能存储管理与控制技术，研制出数据存储处理器架构与多项核心技术，联合创办一家国家高新技术企业，完成芯片研发并大规模量产，获得中国专利奖；（3）系统研究图像处理与理解技术，研究出多种仿生视觉计算模型与算法，应用于智慧城市、智能座舱、中医机器人等行业，多次获得行业“优秀AI应用奖”、“创新产品奖”等奖项。
近年来主要科研方向：
- 人工神经网络与计算机视觉
- 深度建模与求解（AI for Science）
- 人工智能芯片与系统
- 中医数字化与中医机器人
联系方式：
E-mail：wjli@semi.ac.cn
电话：010-82304336/4554
近年来主要科研项目：
1.国家自然科学基金重大研究计划项目：知识融合的神经网络分治约简符号回归方法，项目负责人
2.中国科学院稳定支持基础研究领域青年团队计划项目：数据与智能驱动的新一代科学模型和算法——面向半导体光电材料与器件的科学模型与算法，人工智能科学模型与算法设计方向负责人
3.国家重大科学仪器设备开发项目课题：基于高维形象几何分析的NIR技术研究与软件开发，课题负责人
4.工信部和国家药监局联合发布人工智能医疗器械创新任务揭榜：智能经络诊疗系统（经络诊疗机器人），项目负责人
5.国家自然科学基金面上项目：基于同源连续性原理的人脸老化建模与识别方法研究，项目负责人
6.广东省重点领域研发计划新一代人工智能专项“智能数据存储处理芯片关键技术及应用研究”等
7.国家863计划“智能感知与先进计算”专题项目课题：基于高维仿生信息学的低数据量面像识别技术，课题负责人
8.国家自然科学基金“视听觉信息的认知计算”重大研究计划项目课题：基于高维形象几何分析方法的仿生人脸图像处理与识别方法研究，课题负责人
9.成果转化项目：中医AI技术转让与转化，项目负责人
近三年代表性论文（*为通讯作者）：
1.Jingyi Liu, Weijun Li*, Lina Yu, Min Wu, Linjun Sun, Wenqiang Li and Yanjie Li. SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression. Neural Networks, 2023, 165: 1021-1034.
2.Wenqiang Li, Weijun Li*, Linjun Sun, Min Wu, Lina Yu, Jingyi Liu, Yanjie Li, Songsong Tian. Transformer-based model for symbolic regression via joint supervised learning. International Conference on Learning Representations, 2023.
3.Changshuo Wang, Xin Ning*, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai. Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. IEEE Transactions on Geoscience and Remote Sensing, Volume: 60, 2022, 5703215
4.Xin Ning, Weijuan Tian, Feng He, Xiao Bai, Le Sun, Weijun Li*. Hyper-sausage coverage function neuron model and learning algorithm for image classification, Pattern Recognition, Available online 8 December 2022, 109216
5.Xin Ning, Weijuan Tian, Zaiyang Yu, Weijun Li*, Xiao Bai*, Yuebao Wang, HCFNN: High-order coverage function neural network for image classification, Pattern Recognition, Volume 131, 2022, 108873
6.Guojun Wang, Weijun Li*, Liping Zhang, Linjun Sun, Peng Chen, Lina Yu, Xin Ning. Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an Autoencoder. IEEE Transactions on Neural Networks and Learning Systems. 2021，VOL.33, NO.8, pp.3264-3276
7.Xiaoli Dong, Xin Ning*, Jian Xu, Lina Yu, Weijun Li*, Liping Zhang. A Recognizable Expression Line Portrait Synthesis Method in Portrait Rendering Robot. IEEE Transactions on Computational Social Systems.
8.RuiXiang Ma, Fei Wu*, BuRong Dong, Meng Zhang, WeiJun Li. Write-Optimized B+ Tree Index Technology for Persistent Memory,Journal of Computer Science and Technology, vol. 36, no. 5, pp. 1037-1050, 2021
9.Jingyi Liu, Guojun Wang, Weijun Li*, Linjun Sun, Liping Zhang, and Lina Yu*. Transcendental equation solver: A novel neural network for solving transcendental equation. Applied Soft Computing, 2022, 117: 108425.
10.Liping Zhang, Linjun Sun, Weijun Li*, Jianming Zhang, Weiwei Cai, Chuantong Cheng, Xin Ning*. A Joint Bayesian Framework Based on Partial Least Squares Discriminant Analysis for Finger Vein Recognition, IEEE Sensors Journal, 2022, Vol.22, No.1, pp.785-794
11.Xin Ning, Ke Gong*, Weijun Li*, LipingZhang. JWSAA: Joint weak saliency and attention aware for person re-identification. Neurocomputing, 2021，vol.453， 801-811
12.Songsong Tian, Weijun Li, Xin Ning, Hang Ran, Hong Qin*, Continuous transfer of neural network representational similarity for incremental learning. Neurocomputing, 2023, 545: 126300.
13.Xin Ning, Shaohui Xu, Fangzhe Nan, Qingliang Zeng, Chen Wang, Weiwei Cai, Weijun Li*, Yizhang Jiang. Face editing based on facial recognition features. IEEE Transactions on Cognitive and Developmental Systems, 2022
14.Liping Zhang, Weijun Li*, Lina Yu, Linjun Sun, Xin Ning. GmFace: An explicit function for face image representation. Displays, 2021, 68: 102022.
15.Shaohua Qi, Weijun Li, and Guowei Yang. Double weighting convolutional neural net‐works for multi‐view 3D shape recognition. IET Computer Vision (2022).
16.Yujia Zhai, Baoli Lu*, Weijun Li, Jian Xu*, Shuangyi Ma. JD-SLAM: Joint camera pose estimation and moving object segmentation for simultaneous localization and mapping in dynamic scenes. International Journal of Advanced Robotic Systems, 2021, pp.1-12
17.Yaxuan Lu,Weijun Li*, Xin Ning*, Xiaoli Dong*, Liping Zhang, Linjun Sun, Chuantong Cheng. Blind image quality assessment based on the multiscale anddual-domains features fusion. Concurrency and Computation: Practice and Experience, 2020.
18.Yuerong Tong, Jingyi Liu, Lina Yu*, Liping Zhang, Linjun Sun, Weijun Li, Xin Ning, Jian Xu, Hong Qin, Qiang Cai*. 2022. Technology investigation on time series classification and prediction. PeerJ Computer Science 8:e982
19.Shaohua Qi, Xin Ning*, Guowei Yang, Liping Zhang, Peng Long, Weiwei Cai, Weijun Li, Review of multi-view 3D object recognition methods based on deep learning, Displays, Volume 69, 2021, 102053
20.Changshuo Wang, Chen Wang, Weijun Li*, Haining Wang*. A Brief Survey on RGB-D Semantic Segmentation using Deep Learning. Displays, 2021, ISSN 0141-9382.
