邹力耕

邹力耕

基本情况：
邹力耕，博士，硕士生导师（计算机专业）。2010年获得中南大学电子信息工程专业学士学位；2016年获得中南大学计算机科学与技术专业博士学位（硕博连读），博士学位论文获评2017年中南大学优秀博士学位论文。主持湖南省自然科学基金青年项目1项，参与国家自然科学基金项目1项、教育部博士点基金1项和湖南省教育厅一般项目1项。中国人工智能学会粒计算与知识发现专委会委员、人工智能基础专委会委员。
2016年7月-2019年7月在某大型央企从事信息化工作。
2019年7月至今在必赢bwin线路检测中心从事教学科研工作。
联系邮箱：zouligeng@hunnu.edu.cn
研究方向：概念学习，机器学习，形式概念分析，粒计算
代表性论文：
[1] Ligeng Zou, Tingting He, Jianhua Dai, A new parallel algorithm for computing formal concepts based on two parallel stages, Information Sciences. 586 (2022) 514–524. (SCI, IF=6.795)
[2] Ligeng Zou, Xiaozhi Chen, Tingting He, Jianhua Dai, Computing formal concepts in parallel via a workload rebalance approach, International Journal of Machine Learning and Cybernetics, 2022. (SCI, IF=4.012)
[3] Ying Wan, Ligeng Zou, An efficient algorithm for decreasing the granularity levels of attributes in formal concept analysis, IEEE Access. 7 (2019) 11029–11040. (SCI, IF=3.367)
[4] Ligeng Zou, Zuping Zhang, Jun Long, An efficient algorithm for increasing the granularity levels of attributes in formal concept analysis, Expert Systems with Applications. 46 (2016) 224–235. (SCI, IF=6.954)
[5] Ligeng Zou, Zuping Zhang, Jun Long, Hao Zhang, A fast incremental algorithm for deleting objects from a concept lattice, Knowledge-Based Systems. 89 (2015) 411–419. (SCI, IF=8.038)
[6] Ligeng Zou, Zuping Zhang, Jun Long, A fast incremental algorithm for constructing concept lattices, Expert Systems with Applications. 42 (2015) 4474–4481. (SCI, IF=6.954)