教师姓名：
陆虎

职务职称：
副教授、硕导

所属系部：
计算机科学系

研究方向：
人工智能、脑认知、深度学习、计算机视觉

联系电话：
**（微信）

电子邮箱：
luhu@ujs.edu.cn

个人简介

个人简介
2009/09-2013/06，复旦大学，计算机科学技术学院，计算机软件与理论专业博士
2013/10-2018/06，复旦大学，计算机科学技术学院，软件工程流动站博士后
2016/05-2016/08，美国天普大学，电子信息系，访问****
2014/01-至今，江苏大学，计算机科学与通信工程学院，副教授
社会兼职
American Cognitive Science Society Member
Asia Pacific Neural Network Society (APNNS) Member

教研成果

主要项目：
[1] 国家自然科学基金面上项目，**，基于先验信息与多目标粒子群优化的高维小样本数据处理方法研究，2020/01-2023/12，参与
[2] 国家自然科学基金面上项目，**，基于多目标优化和栈式稀疏编码的肝脏肿瘤图像识别研究，2016/01-2019/12，参与
[3] 国家自然科学基金面上项目，**，基于数值方法的大脑神经回路与功能集团结构研究，2014/01-2017/12，参与
[4] 国家自然科学基金青年项目，**，自动聚类集成理论及其在不变性识别中的应用研究，2012/01-2014/12，参与
[5] 中国博士后科学基金面上项目，2014M551324，基于复杂网络理论的神经元功能网络特性分析研究，2014/08-2017/10，主持
主要论文：
【2021年】
[1] Hu Lu*, Saixiong Liu, Hui Wei, Chao Chen, Xia Geng, Deep multi-kernel auto-encoder network for clustering brain functional connectivity data. Neural Networks. Volume 135, 2021, pp 148-157. DOI: 10.1016/j.neunet.2020.12.005. (SCI检索，Impact factor: 5.535)
【2020年】
[1] Hu Lu（陆虎，第一作者）, Saixiong Liu*, Hui Wei, Juanjuan Tu. Multi-kernel fuzzy clustering based on auto-encoder for fMRI functional network [J]. Expert Systems With Applications. DOI: 10.1016/j.eswa.2020.113513，1 May 2020. (SCI检索，Impact factor: 5.452，Top期刊 )
[2] Hu Lu（陆虎，第一&通讯作者）*, Yuqing Song, Hui Wei. Multiple-Kernel Combination Fuzzy Clustering for Community Detection [J]. Soft Computing. DOI: 10.1007/s00500-020-04785-z, 13 March 2020. (SCI检索，Impact factor: 3.050 )
[3] Xia Geng, Hu Lu（陆虎，通讯作者）*, Jun Sun. Network Structural transformation based community detection with autoencoder [J]. Symmetry-Basel. 2020, 12(6), 944; doi.org/10.3390/sym**. (SCI检索，Impact factor: 2.645 )
【2019年】
[4] Yuqing Song, Thomas Martial Epalle, Hu Lu（陆虎，通讯作者）*. Characterising and predicting autism spectrum disorder by performing resting-state functional network community pattern analysis [J]. Frontiers in human neuroscience.13:203. doi: 10.3389/fnhum.2019.00203, 14 June 2019. (SCI检索，Impact factor: 2.673 )
[5] Zhe Liu*, Xiang Bao, Yuqing Song, Hu Lu（陆虎）, Qingfeng Liu. An Improved Unsupervised Image Segmentation Method Based on Multi-Objective Particle Swarm Optimization Clustering Algorithm[J]. Computers, Materials & Continua, 58(2): 451-461, 2019. (SCI检索，Impact factor: 3.024)
[6] Qinghua Ling*，Yuqing Song，Fei Han，Conghua Zhou, Hu Lu（陆虎）. An Improved Learning Algorithm for Random Neural Networks Based on Particle Swarm Optimization and Input-to-output Sensitivity. Cognitive Systems Research, 51-60, January 2019. (SCI检索，Impact factor: 1.902)
[7] Thomas M. Epalle, Yuqing Song, Hu Lu（陆虎）, Zhe Liu*. Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier. The 25th International Conference on Neural Information Processing. Sydney, Australia, ICONIP 2019. (中国计算机学会CCF 推荐目录C类)
[8] Qi Yao, Hu Lu（陆虎）*. Brain Functional Connectivity Augmentation Method for Mental Disease Classification with Generative Adversarial Network. The Chinese Conference on pattern recognition and computer vision (PRCV), xian, China, 2019. (EI检索)
【2018年】
[9] Pengpeng Liang, Yifan Wu, Hu Lu（陆虎）, Liming Wang, Chunyuan Liao, Haibin Ling. Planar Object Tracking in the Wild: A Benchmark. IEEE International Conference on Robotics and Automation (ICRA) Brisbane, Australia, May 21-25, 2018. (国际机器人领域顶级会议，中国计算机学会CCF 推荐目录B类)
[10] Zhe Liu, Yuqing Song, Charlie Maere, Qingfeng Liu, Yan Zhu, Hu Lu（陆虎）, Deqi Yuan. A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk. International Conference on Pattern Recognition (ICPR). Beijing, China, November 26-29,2018. (中国计算机学会CCF 推荐目录C类)
[11] Hu Lu（陆虎）, Yuqing Song, Jun Sun, Xingpei Xu. Saliency Detection based on Deep Learning and Graph Cut. 19th Pacific-Rim Conference on Multimedia. (PCM) Hefei, China, September 21-22,2018. (中国计算机学会CCF 推荐目录C类)
[12] Hu Lu（陆虎）, Qi Yao. Modularity Maximization for Community Detection using Genetic Algorithm. 25th International Conference on Neural Information Processing (ICONIP) Siem Reap, Cambodia, December 14-16,2018. (中国计算机学会CCF 推荐目录C类)
[13] Dingan Liao，Haihui Xiao，Hu Lu（陆虎）. Automatic Identification of Network Communities by Novel Method of Measure. 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Huangshan, China, July 28-30, 2018. (EI检索)
[14] Dingan Liao, Hu Lu（陆虎）. Classify Autism and Control Based on Deep Learning and Community Structure on Resting-state fMRI. 10th International Conference on Advanced Computational Intelligence (ICACI). Xiamen, China, June 8-11, 2018. (EI检索)
【2017年】
[15] Chaojie Yu, Yuquan Zhu, Yuqing Song, Hu Lu（陆虎）. Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains. International Conference on Neural Information Processing (ICONIP). Guangzhou, China, 525-532,2017. (中国计算机学会CCF 推荐目录C类)
[16] Xinghao Huang, Yuqing Song, Dingan Liao, Hu Lu(陆虎)*. Detecting Community Structure Based on Optimized Modularity by Genetic Algorithm in Resting-state fMRI. International Symposium on Neural Networks (ISNN), 457-464, 2017. (EI检索)
【2016年】
[17] Hu Lu（陆虎）, Xinghao Huang, Yuqing Song, Hui Wei. Uncovering Community Structure in Neuronal Functional Networks from Multi-neuronal Spike Trains. Advances in Cognitive Neurodynamics. Springer Singapore, 769-775, 2016. (EI检索)
【2015年】
[18] Hu Lu（陆虎）, Xinghao Huang, Yuqing Song, Hui Wei. Partitioning the Firing Patterns of Spike Trains by Community Modularity. 37th Cognitive Science Society Annual Conference. (CogSci) Pasadena California, USA, July 22-25,2015. (美国认知科学学会顶级会议，中国计算机学会CCF 推荐目录B类)
【2014年】
[19] Hu Lu（陆虎）, Hui Wei, Zhe Liu, Yuqing Song. Hierarchical organization in neuronal functional networks during working memory tasks. 2014 International Joint Conference on Neural Networks (IJCNN) Beijing, China, July 6-11,2014. (中国计算机学会CCF 推荐目录C类)
[20] Hu Lu（陆虎，第一&通讯作者）*, Shengtao Yang, Yuqing Song, Hui Wei. Analyzing topological characteristics of neuronal functional networks in the rat brain. Physics Letters A. 1016/j.physleta.2014.08.026, 378:3118-3125.2014. (SCI检索，Impact factor: 2.278)
[21] Hu Lu（陆虎）, Zhe Liu, Yuqing Song. Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns. International Symposium on Neural Networks （ISNN）. November 28-1,2014. (EI检索)
【2013年】
[22] Hu Lu（陆虎，第一作者）, Shengtao Yang, Baoming Li, Longnian Lin, Hui Wei*. Prediction of Rat Behavior Outcomes in Memory Tasks Using Functional Connections among Neurons. PLoS ONE 8(9): e74298. doi:10.1371/journal.pone. **, 2013. (SCI检索，Impact factor: 2.740)
[23] Hu Lu（陆虎）, Hui Wei. Discovering the multi-neuronal firing patterns based on a new binless spike trains measure. International Symposium on Neural Networks （ISNN）. July 4-6,2013. (EI检索)
【2012年】
[24] Hu Lu（陆虎，第一作者）, Hui Wei*. Detection of community structure in networks based on community coefficients. Physica A: Statistical Mechanics and its Applications. 391: 6156-6164. 2012. (SCI检索，Impact factor: 2.924)
[25] Hu Lu（陆虎）, Baoming Li, Hui Wei. A small-world of neuronal functional networks from multi-electrode recordings during a working memory task. The 2012 International Joint Conference on Neural Networks (IJCNN). Brisbane, Australia. June 10-15,2012. (中国计算机学会CCF 推荐目录C类)
主要专利：
[1] 一种用于行人识别数据集增强训练的生成对抗网络系统。申请号：6.1
[2] 一种基于堆叠编码器的脑功能网络多核模糊聚类方法。申请号：0.6
[3] 一种用于功能核磁共振成像数据生成的生成对抗网络模型的实现方法。申请号：9.5
[4] 一种基于卷积神经网络的焊缝质量检测方法。申请号：5.3
[5] 一种基于卷积神经网络的监控视频中人的自动识别方法。申请号：2.8
[6] 一种基于点击交互的目标对象提取方法。申请号：4.5
[7] 一种基于深度学习的图像识别方法。申请号：0.8