程东东

发布时间:2022-04-11浏览次数:6621

  

  

程东东,毕业于重庆大学计算机学院,博士,副教授,巴渝学者-青年学者。

研究方向:数据挖掘、机器学习、模式识别

主要承担的课程:物联网数据处理技术、Python程序设计、大数据导论、Hadoop大数据技术

研究成果:主要从事聚类算法和聚类结果评估方法的研究,提出了局部核心点的概念,在聚类分析中用于降低数据规模,同时在此基础上进行了新的聚类算法的研究,有效解决了复杂流形数据的聚类具有高时间复杂度的题。

相关论文:

[1] Cheng D, Huang J, Zhang S, Xia S, Wang G, Xie J. K-means clustering with natural density peaks for discovering arbitrary-shaped clusters [J]. IEEE Transactions on Neural Networks and Learning Systems, 2023. DOI: 10.1109/TNNLS.2023.3248064. (SCI 1)

[2] Cheng D, Huang J, Zhang S, Zhang X, Luo X. A novel approximate spectral clustering algorithm with dense cores and density peaks [J], IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(4):2348-2360. DOI: 10.1109/TSMC.2021.3049490. (SCI 1)

[3] Cheng D, Zhu Q, Huang J, Wu Q, Yang L, Clustering with local density peaks-based minimum spanning tree[J], IEEE Transactions on Knowledge and Data Engineering, 2021, 33(2), 374-387. DOI: 10.1109/TKDE.2019.2930056. (SCI 2区,CCF-A)

[4] Cheng D, Zhu Q, Huang J, Wu Q, Yang L, A novel cluster validity index based on local cores [J], IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(4): 985-999. DOI: 10.1109/TNNLS.2018.2853710.  (SCI 1)

[5] Cheng D, Zhu Q, Huang J, Yang L, Wu Q, Natural neighbor-based clustering algorithm with local representatives [J], Knowledge-Based Systems, 2017, 123:238-253.SCI 1区)

[6] Cheng D, Zhang S, Huang J. Dense members of local cores-based density peaks clustering algorithm [J], Knowledge-Based Systems, 2020, 193: 105454. (SCI 1)

[7] Cheng D, Zhu Q, Huang J, Wu Q. A local cores-based hierarchical clustering algorithm for data sets with complex structures [J], Neural Computing & Applications, 2019, 31(11), 8051-8068. DOI: 10.1007/s00521-018-3641-8.  (SCI 2)

[8] Cheng D, Zhu Q, Huang J, Wu Q, Yang L, A hierarchical clustering algorithm based on Noise Removal [J], International Journal of Machine Learning and Cybernetics, 2019, 10(7), 1591-1602. DOI: 10.1007/s13042-018-0836-3. (SCI 3)

[9] Cheng D, Huang J, Zhang S, Liu H. Improved Density peaks clustering based on shared-neighbors of local cores of manifold data sets [J], IEEE ACCESS, 2019, 7:151339-151349.

[10] Cheng D, Huang J, Zhang S, et al. A robust method based on locality sensitive hashing for K-nearest neighbors searching. Wireless Networks, 2022, online, DOI: 10.1007/s11276-022-02927-9.

[11] Wang G, Cheng D, Xia D, Jiang H. Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Human-machine Hybrid Swarm Intelligence[J]. Machine Intelligence Research, 2023, 20(1): 121-144.

[12] Cheng D, Zhu Q, Huang J, et al. Natural neighbor-based clustering algorithm with density peeks[C]// International Joint Conference on Neural Networks (IJCNN), Vancouver, 2016: 92-98. CCF-C

[13] Cheng D, Zhu Q, Wu Q. A local cores-based hierarchical clustering algorithm for data sets with complex structures[C]// The 42nd IEEE Computer Society Signature Conference on Computers, Software and Applications (COMPSAC), Tokyo, 2018: 410-419. CCF- C

[14] 程东东,黄金龙,朱庆生. 基于自然邻居的聚类分析和离群检测算法研究[M]. 上海交通大学出版社,2019.11.

相关项目:

(1)       国家自然科学基金青年科学基金项目:62006029,基于局部核心点的高光谱图像聚类研究,2021. 01-2023. 12, 24万元,在研,主持

(2)       重庆市博士后创新人才支持计划:CQBX2021024,基于局部核心点的多粒度模型构建研究,2022.1-2024.1260万元,在研,主持

(3)       重庆市自然科学基金面上项目:cstc2019jcyj-msxmX0683, 基于局部核心点聚类分析的3D点云骨架提取研究,2019.07-2022.06, 10万元,已结题,主持

(4)        重庆市自然科学基金面上项目:CSTB2022NSCQ-MSX0258,基于复杂流形聚类的高光谱图像波段选择方法研究,2022.8-2025.7, 10万元,在研,主持

(5)       重庆市教委科技项目青年项目:KJQN202001434,基于数据挖掘的树木骨架提取研究,2020.10-2023.10,在研,主持

获奖情况:获重庆大学优秀博士毕业论文,重庆大学“优秀研究生”荣誉称号,获得博士研究生国家奖学金,获得重庆市自然科学三等奖,首届川渝科技学术大会优秀论文三等奖。 

联系方式:cdd@yznu.edu.cn