| 姓名:孔庆钊 职务:硕士生导师 职称:副教授 公共数学教研室副主任 电子邮箱:kongqingzhao@163.com 所属教研室:公共数学教研室 |
n 个人简介
孔庆钊,男,博士,副教授。从事人工智能、数据分析和应用、粒计算、三支决策、信息网络稳定性和故障诊断等方面的研究。2019年9月至2020年9月在加拿大里贾纳大学计算机系访问学习。在国内外权威期刊发表学术论文三十余篇。主持或参与国家级和省部级等基金项目9项。国际人工智能领域期刊《Modern Intelligent Times》编委,2023年智能系统与人机交互国际会议(ISHCI2023)技术委员会委员,国际粗糙集学会会员,中国人工智能学会会员等。多次受邀担任学术会议的大会特邀报告人。为多个国际顶级期刊的审稿人。长期与加拿大、美国等专家学者合作研究,在大数据分析和应用方面积累了丰富的经验。
n 科研(教学)项目、成果及专利等
(1) 数据粒化技术在虚拟现实中的应用,教育部产学合作协同育人项目,2024.1-2024.12,主持;
(2)信息系统中基于不同粒结构知识发现理论的比较研究,省自然科学基金面上项目,2020.11-2023.11,主持;
(3)覆盖与多粒度信息系统知识发现方法的比较研究,校科研基金项目,2019.10-2022.12,主持;
(4)覆盖模糊粗糙集理论及算法的研究,校科研启动基金项目,2017.5-2019.6,主持;
(5)覆盖模糊信息系统中知识获取相关理论及算法设计的研究,省自然科学基金面上项目,2017.2-2020.3,主持;
(6)广义粗糙集的运算理论及算法研究,省教育厅项目,2015.7-2017.5,主持;
(7)模糊数逼近的卷积方法研究,省自然科学基金面上项目,2016.2-2019.3,排名第三;
(8)非代数流形上向量丛结构的研究,省自然科学基金面上项目,2010.9-2013.6,排名第三;
(9)某些非代数流形上全纯向量从的结构,国家自然科学基金项目,2008.12-2009.12,排名第二。
n 发表论文及著作等情况 (2015年以来发表的部分论文)
[1] Qingzhao Kong, Conghao Yan and Weihua Xu*(2025)Simplified rough sets [J], Information Sciences, 686, 121367. (SCI)
[2] Qingzhao Kong, Wanting Wang, Weihua Xu* and Conghao Yan (2024) A method of data analysis based on division-mining-fusion strategy [J], Information Sciences, 666, 120450. (SCI)
[3] Qingzhao Kong, Wanting Wang and Conghao Yan (2024)Granular Computing and Big Data Advancements [M], IGI Global Press, Hershey, USA, 102-125.
[4] Qingzhao Kong, Wanting Wang, Dongxiao Zhang and Wenbin Zhang (2024) Two kinds of average approximation accuracy [J], CAAI Transactions on Intelligence Technology, 9(2), 481-490. (SCI)
[5] Qingzhao Kong, Xiawei Zhang, Weihua Xu* and Binghan Long (2022) A novel granular computing model based on three-way decision [J], International Journal of Approximate Reasoning, 144, 92-112. (SCI )
[6] Qingzhao Kong, Weihua Xu* and Dongxiao Zhang (2022) A comparative study of different granular structures induced from the information systems [J], Soft Computing, 26(1), 105-122. (SCI)
[7] Qingzhao Kong and Xueer Chang (2022) Rough set model based on variable universe [J], CAAI Transactions on Intelligence Technology, 7(3), 503-511. (SCI)
[8] Qingzhao Kong and Xueer Chang (2022) Number characteristics of information granules in information tables, The Journal of Engineering, 12 1208-1218. (EI)
[9] Qingzhao Kong,Xiawei Zhang, Weihua Xu and Shutong, Xie (2020) Attribute reducts of multi-granulation information system [J], Artificial Intelligence Review, 53(2), 1353–1371. (SCI)
[10] Qingzhao Kong and Weihua Xu (2019) The comparative study of covering rough sets and multi-granulation rough sets [J], Soft Computing, 23(10), 3237–3251. (SCI)
[11] Qingzhao Kong and Weihua Xu (2018) Operation properties and algebraic application of covering rough sets [J], Fundamenta Informaticae, 160(4), 385-408. (SCI)
[12] Qingzhao Kong and Zengxin Wei (2017) Further study of multi-granulation fuzzy rough sets [J], Journal of Intelligent and Fuzzy Systems, 32, 2413-2424. (SCI)
[13] Xiawei Zhang and Qingzhao Kong* (2016) On four types of multi-covering rough sets [J], Fundamenta Informaticae, 147, 457–476. (SCI)
[14] Qingzhao Kong and Zengxin Wei (2015) Covering-based fuzzy rough sets [J], International Journal of Intelligent & Fuzzy Systems, 29, 2405-2411. (SCI)
[15] Wanting Wang and Qingzhao Kong*, Double rough set models for acquiring more accurate knowledge at lower cost [J], International Journal of Computing Science and Mathematics (Accepted, SCI)
n 荣誉奖励及参加学术团体的情况
1.国际粗糙集学会会员;
2.中国人工智能学会会员;
3.中国人工智能学会粒计算与知识发现专委会委员;
4.中国人工智能学会人工智能基础专委会委员;
5.国际期刊《Modern Intelligent Times》的编委;
6.2023年智能系统与人机交互国际会议(ISHCI2023)技术委员会委员;
7.担任2021年粒计算与智能决策文峰青年学者高峰论坛等多个学术会议的大会特邀报告人;
8.为《IEEE Transactions on Fuzzy Systems》、《Knowledge-Based Systems》、《Artificial Intelligence Review》等多个国际顶级期刊的审稿人;
9.2017年8月8日至10日在集美大学组织召开“大数据与粒计算学术研讨会”。