计算机学院
通讯地址:梦溪路江苏科技大学计算机学院
个人邮箱:qinbin_sd@126.com
邮政编码:212003
办公地点:江苏科技大学计算机学院
传真:
秦斌,男,博士,副教授。
主要研究方向为机器学习理论与应用,多篇论文发表于TFS和TCYB等SCI顶刊,主持国家自然科学基金面上项目一项、参与国家自然科学基金面上项目多项。
目前指导人工智能、计算机科学与技术、电子信息等专业硕士研究生。
主持国家级纵向科研项目:
复杂数据场景下的动态自适应模糊系统集成方法研究,国家自然科学基金面上项目。
计算机学院机器学习与软件新技术研究所
部分代表作:
1. Qin, Bin; Nojima, Yusuke; Ishibuchi, Hisao; Wang, Shitong ; Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers, IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29(11): 3441-3455. (SCI一区)
2. Qin, Bin; Chung, Fu-lai; Wang, Shitong ; Biologically Plausible Fuzzy-Knowledge-Out and Its Induced Wide Learning of Interpretable TSK Fuzzy Classifiers, IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28(7): 1276-1290.(SCI一区)
3. Bin Qin; Fu-Lai Chung; Shitong Wang ; KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi–Sugeno–Kang Fuzzy Classifiers, IEEE TRANSACTIONS ON CYBERNETICS, 2021, 52(7): 6857-6871.(SCI一区)
4. Bin Qin; Fu-lai Chung; Yusuke Nojima; Hisao Ishibuchi; Shitong Wang ; Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier, APPLIED SOFT COMPUTING, 2022, 127: 109410-109410.(SCI一区)
5. Jinghong Zhang; Yingying Li; Bowen Liu; Hao Chen; Jie Zhou; Hualong Yu; Bin Qin(通讯); A dynamic broad TSK fuzzy classifier based on iterative learning on progressively rebalanced data, Information Sciences, 2024,8.(SCI一区)
C++程序设计(计算机类专业)
矩阵理论与应用(人工智能专业)
主持国家级纵向科研项目:
复杂数据场景下的动态自适应模糊系统集成方法研究,国家自然科学基金面上项目。
计算机学院机器学习与软件新技术研究所
部分代表作:
1. Qin, Bin; Nojima, Yusuke; Ishibuchi, Hisao; Wang, Shitong ; Realizing Deep High-Order TSK Fuzzy Classifier by Ensembling Interpretable Zero-Order TSK Fuzzy Subclassifiers, IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2021, 29(11): 3441-3455. (SCI一区)
2. Qin, Bin; Chung, Fu-lai; Wang, Shitong ; Biologically Plausible Fuzzy-Knowledge-Out and Its Induced Wide Learning of Interpretable TSK Fuzzy Classifiers, IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28(7): 1276-1290.(SCI一区)
3. Bin Qin; Fu-Lai Chung; Shitong Wang ; KAT: A Knowledge Adversarial Training Method for Zero-Order Takagi–Sugeno–Kang Fuzzy Classifiers, IEEE TRANSACTIONS ON CYBERNETICS, 2021, 52(7): 6857-6871.(SCI一区)
4. Bin Qin; Fu-lai Chung; Yusuke Nojima; Hisao Ishibuchi; Shitong Wang ; Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier, APPLIED SOFT COMPUTING, 2022, 127: 109410-109410.(SCI一区)
5. Jinghong Zhang; Yingying Li; Bowen Liu; Hao Chen; Jie Zhou; Hualong Yu; Bin Qin(通讯); A dynamic broad TSK fuzzy classifier based on iterative learning on progressively rebalanced data, Information Sciences, 2024,8.(SCI一区)