导师介绍

叶成绪
发布时间:2023-04-18     浏览量:

姓名:

叶成绪

职称/职务:

教授

联系电话:

 

电子邮件:

149926237@qq.com

研究方向:

机器学习及应用

办公地点:

西三楼412

个人简介

叶成绪,男,1970年出生,教授,硕导,中山大学计算机软件与理论专业博士毕业,曾在西班牙马德里理工大学(La Unibersidad de Politecnica de Madrid)访学一年。现从事机器学习及应用等方面的研究工作。主持及参与完成了多项国家自然科学基金、社会科学基金和省自然科学基金,先后在 NeurocomputingJournal of Computational   Information Systems及国际会议上发表了六十余篇学术论文。

学术论文(*为通信作者)

[1] 刘冰, 叶成绪*. 面向不平衡数据的肺部疾病细粒度分类模型[J/OL]. 图学学报. 2023:1-9.

[2] Bing Liu, Chengxu   Ye*, Ping Yang, et al. A Segmentation Model of Lung Parenchyma in Chest CT   Based on ResUnet[C]. 2022 14th International Conference on Machine Learning   and Computing (ICMLC). 2022:429–434.

[3] Rui Liu, Chengxu Ye*,   Ping Yang, et al. Short-Term Prediction Model of Water Level Based on   ATT-ConvLSTM[C].  2022 the 5th International Conference on Data Storage   and Data Engineering (DSDE). 2022:85–90.

[4] Miao   Zhikun, Ye Chengxu*, Yang Ping, et al. A Scheme for Electronic Evidence   Sharing Based on Blockchain and Proxy Re-encryption[C]. 2021 4th   International Conference on Blockchain Technology and Applications (ICBTA).   2021:11–16.

[5] Chen   Yutao, Ye Chengxu*, Yang Ping, et al. Research on An Attention-based Hybrid   CNN and BiLSTM Model for Air Pollutant Concentration Prediction[C]. 2021 6th   International Conference on Computational Intelligence and Applications   (ICCIA), 2021:79-84.

[6] Z. Miao,   C. Ye*, P. Yang, Y. Chen and Y. Chen. Blockchain-based Electronic Evidence   Storage and Efficiency Optimization[C]. 2021 International Conference on   Artificial Intelligence and Blockchain Technology (AIBT), 2021: 109-113.

[7] W. Wang, C. Ye*, P.   Yang and Z. Miao. Research on Movie Recommendation Model Based on LSTM and   CNN[C]. 2020 5th International Conference on Computational Intelligence and   Applications (ICCIA). 2020:28-32.

[8] 王振业 ,叶成绪*, 王文韬, 杨萍. 基于LSTM-Att方法的音乐流行趋势预测[J]. 计算机技术与发展, 2020, 30(09):188-193.

[9] Yutao Chen, Chengxu   Ye*, Wentao Wang, and Ping Yang. Research on Air Quality Prediction Model   Based on Bidirectional Gated Recurrent Unit and Attention Mechanism[C]. 2020   4th International Conference on Advances in Image Processing (ICAIP).   2020:172–177.

[10] Wentao Wang,   Chengxu Ye*, Wentao Wang and Ping Yang. Research on GRU and CNN Combined   Recommendation Model with Self-Attention Mechanism[C].2020 4th International   Conference on Advances in Image Processing (ICAIP). 2020:185–191.

[11] Chengxu Ye, Siyuan   Feng, Zhongxian Xue, et al. Defeating Runge Problem by Coefficients and Order   Determination Method with Various Approximation Polynomials[C]. 2018 37th   Chinese Control Conference (CCC), 2018.

[12] Chengxu Ye,   Chaofan Guo, Zhongxian Xue, et al. Metropolitan France Population Projection   Based on Weights-and-Structure-Determination Neuronet[C]. Proceedings of the   2018 13th World Congress on Intelligent Control and Automation,2018.

[13] Chengxu Ye,   Ruifeng Wang, Mengling Xiao, Zhongxian Xue and Yunong Zhang. Using Different   Types of Addition-Subtraction Frequency (ASF)  Approach with Different   Numbers of Input Variables to Predict Years of Financial Events after Fed   Tightening[C]. IAEAC 2017.

[14] Tianyu Zeng,   Yunong Zhang, Zhenyu Li, Binbin Qiu and Chengxu Ye.Predictions of USA   Presidential Parties From 2021 to 2037 Using Historical Data Through Square   Wave-Activated WASD Neural Network [J]. IEEE access. 2020.

[15] Hongwei Li,   Zhiguan Huang, Yuhe Li, Chengxu Ye et al. Modified   Weights-And-Structure-Determine Neural Network  for Pattern   Classification of Flatfoot[J]. IEEE access. 2019.

主持(或参与)的项目

[1] 家自然科学基金项目:存储集群容错及其修复机制研究(2018.01-2021.12,已结题,参加).

[2] 青海省自然科学基金项目,2016-ZJ-739,基于WASD神经网络智能算法的公共数据预测,2016.01-2019.2,已结题,主持).

[3] 国家自然科学基金项目,61463045,区间参数型不确定优化问题的进化算法研究,2014.01-2017.12,已结题,参加).

[4] 国家社会科学基金面上项目,13BXW037,支持微博舆情服务的藏文主题挖掘关键技术研究,(2013.07-2015.12,已结题,主持).

[5] 青海省自然科学基金项目,2011-ZJ-751,基于藏文网络站点的关键安全技术研究,(2010.01-2012.12,已结题,主持).

[6] 中国教育和科研网赛尔网络项目, NGII20150505, 基于IPV6藏语学习公共服务平台研发, (2016.01-2017.12,已结题,参加)

著作

叶成绪,.WASD   Neuronet Models,Algorithms,and Applications[M]. CRC Press, ISBN   978-1-138-38703-4, 2万字, 2019.

 

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