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个人简介

1 基本信息 姓 名: 邹东升 性 别: 男 招生信息: 年度招收硕士3名,招收计算机、数学等专业。 2 个人简介: 工学博士,博士后,2002年获日本电气通信大学计算机系统结构专业联合培养硕士学位,2009年获重庆大学计算机软件与理论专业博士学位, 2010-2012年重庆大学控制科学与工程流动站从事博士后研究工作。先后主持国家自然科学基金1项,重庆市自然科学基金1项,中国博士后科学基金1项,中央高校基本科研业务费科研专项项目3项,主研科技部国家重大专项项目1项。近年在JOURNAL OF COMPUTATIONAL CHEMISTRY、Journal of Computers、Journal of Information and computational science、Advances in Intelligent and Soft Computing等国外知名学术期刊及会议上发表SCI/EI学术论文20余篇,单篇SCI他引频次最高为95次。 专利 国家发明专利:基于VTLP数据增强剂多尺度时频域空洞卷积模型的语音情感识别方法,受理,.中国.201910138946.7[P].2019. 项目 1. 国家自然科学基金面上项目,71471023,2015/01-2018/12,主研. 2. 国家自然科学基金青年项目,61309013,2014/01-2016/12,主持. 3. 重庆市科技计划项目基础与前沿研究计划一般项目,cstc2014jcyjA40042,2014/08-2017/06,主持. 4. 中国博士后科学基金面上资助项目,20110490807,2011/05-2013/06,主持. 5. 中央高校基本科研业务费面上项目,CDJPY12180001,2012/12-2014/11月,主持。 6. 科技部国家重大专项项目,2008ZX07315-001,2009/07-2011/12,子课题主持.

研究领域

研究方向: 自然语言处理、计算机视觉

研究领域包括自然语言处理、计算机视觉、知识图谱。

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

论文 [1] Wei TANG, Dongsheng ZOU*, Su YANG, Jing SHI, Jingpei DAN and Guowu SONG. A Two-Stage Approach for Automatic Liver Segmentation with Faster R-CNN and DeepLab[J]. Neural Computing and Applications, 32(11): 6769-6778, 2020.( JCR Q1) [2] Dandan Jiang, Dongsheng ZOU*, Zhipeng Deng and Jingpei DAN. Contextual multimodal sentiment analysis with information enhancement(C). CISAI2019. [3] Wei Tang, Dongsheng Zou*, Jing Shi. DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab. International Conference on Artificial Neural Networks, 2018. [4] Yafeng Niu, Dongsheng Zou*, Yadong Niu, Zhongshi He and Hua Tan. Improvement on Speech Emotion Recognition Based on Deep Convolutional Neural Networks (C). 2018 International Conference on Computing and Artificial Intelligence, 2018. [5] Yinghao Li, Zhongshi He*, Hao Zhu, Dongsheng Zou, Weiwei Zhang. A coarse-to-fine scheme for groupwise registration of multisensor images[J]. International Journal of Advances Robotics Systems, 2017. (SCI) [6] Baojun Niu, Dongsheng Zou*, Yafeng Niu. A Stacked Denoising Autoencoders Based Collaborative Approach for Recommender System [C]. International Symposium on Parallel Architecture, Algorithm and Programming. Springer, Singapore, 2017:172-181. [7]姚平平,邹东升,牛宝君.基于用户偏好和项目属性的协同过滤推荐算法.计算机系统应用,2015,24(7): 15-21. [8]王小恒,邹东升.一种粒子群结合遗传算法(PSO-GA)的云计算任务调度方法.世界科技研究与发展, 2014, 36(2): 111-115. [9] Belay G Gebeyehu*, Zhongshi He,Dongsheng Zou. Software process management assessment towards CMM a systematic approach to optimize internal process improvement [J]. Advances in intelligent and soft computing, Vol. 114, pp. 499-505, 2012. [10]刘俊,邹东升.基于主题特征的关键词抽取.计算机应用研究, 2012, 29(11): 4224-4227. [11]Dongsheng Zou*,Zhongshi He, Jingyuan He, Yuxian Xia. Supersecondary structure prediction using Chou’s pseudo amino acid composition [J]. Journal of Computational Chemistry, Vol.32, No.2, pp.271-278, 2011. [12] Donghsheng Zou*, Zhongshi He, Jingyuan He, Yuan Yan. Using an ensemble of support vector machine classifiers to predict protein supersecondary structural motifs [J]. Journal of Computers, Vol. 6, No. 10, pp. 2053-2059, 2011. [13] Shaobo Zhong,Dongsheng Zou*. Web page classification using an ensemble of support vector machine classifiers [J]. Journal of Networks, Vol. 6, No. 11, pp. 1625-1630, 2011. [14]何静媛*,邹东升,何中市, RNA二级结构预测的自适应鱼群算法模型,系统仿真学报,第22卷,第6期, 1370-1374页, 2010. [15] Dongsheng Zou*, Zhongshi He, Jingyuan He. β-hairpin prediction with quadratic discriminant analysis using diversity measure [J]. Journal of Computational Chemistry, Vol.30, No.14, pp.2277-2284, 2009. [16] Donghsheng Zou*, Zhongshi He, Jingyuan He, Xiaofeng Huang. β-hairpin prediction of proteins with Support Vector Machine using diversity measure [J]. Journal of Information & Computational Science, Vol. 6, No. 2, pp. 813-820, 2009. [17] Dongsheng Zou*, Zhongshi He, XiaoFeng Huang, Yuxian Xia. Protein secondary structure prediction using Support Vector Machine with five data encoding approaches. Journal of Computational Information Systems, Vol.5, No. 4, pp. 1153-1158, 2009. [18] Jingyuan He*, Zhongshi He,Dongsheng Zou. A BP Neural Network Method for RNA Secondary Structure Prediction based on ENSSEL Labels [J]. Journal of Information & Computational Science, Vol. 6, No. 2, pp. 569-576, 2009.

学术兼职

现为中国计算机学会会员。

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