学位/职称：博士/讲师                      

出生年月： 1994.05.21

学科专业： 控制科学与工程

电话/微信： 18352538155/hillerest

E-Mail：runshan_xie@foxmail.com

谢润山，工学博士，讲师，2024年6月在江南大学取得博士学位，2024年9月加入江西理工大学信息工程学院，目前在计算机科学与技术教研室。近年来参与国家级科研项目1项。以第一/通信作者在国际高水平期刊IEEE Transactions on Fuzzy Systems、Knowledge-Based Systems、Complex & Intelligent Systems、IEEE Transactions on Emerging Topics in Computational Intelligence和International Journal of Machine Learning and Cybernetics发表研究论文6篇。目前担任Knowledge-Based Systems学术期刊审稿人。

研究方向：  1. 可解释人工智能

2. 模糊系统与建模

3. 集成学习与增量学习

欢迎有志于科研，有较强动手能力、执行能力和自我管理能力，具有较高英语水平的同学加入团队。

科研项目：

1. 国家自然科学基金联合基金项目，医学影像分析的小样本学习理论、关键技术及实证，257万，参与

代表性论文：

1. Runshan Xie, Fu-Lai Chung, and Shitong Wang, "A Cognitively Confidence-Debiased Adversarial Fuzzy Apriori Method," IEEE Transactions on Fuzzy Systems, 2024, 32(3): 1303-1317.（中科院一区，顶刊，CCFB，IF=10.7）

2. Runshan Xie, Chi-Man Vong and Shitong Wang, "Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-step Wide Calculation," IEEE Transactions on Fuzzy Systems, 2024, 32(4): 1653-1667.（中科院一区，顶刊，CCFB，IF=10.7）

3. Runshan Xie and Shitong Wang, "A wide interpretable Gaussian Takagi–Sugeno–Kang fuzzy classifier and its incremental learning," Knowledge-Based Systems, 2022, 241: 108203.（中科院一区，顶刊，CCFC，IF=7.2）

4. Runshan Xie and Shitong Wang, "Downsizing and enhancing broad learning systems by feature augmentation and residuals boosting," Complex & Intelligent Systems, 2020, 6(2): 411-429.（中科院二区，IF=5.0）

5. Runshan Xie, Chi-Man Vong, C. L. Philip Chen, and Shitong Wang, "Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission," IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(6): 1378-1395.（中科院三区，IF=5.3）

6. Wu Chu, Runshan Xie(通讯作者), and Shitong Wang. "A novel data-free continual learning method with contrastive reversion." International Journal of Machine Learning and Cybernetics, 2024, 15: 505-518. (中科院三区，IF=3.1)

7. Runshan Xie and Shitong Wang, "Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-Based Human Activity Recognition," International Conference on Neural Information Processing (ICONIP), 2023, 381-394. (EI会议)

8. Shitong Wang and Runshan Xie(通讯作者), "A Wide Fuzzy Apriori Classifier with Triple Diversity Guarantee from Feature, Sample and Rule Levels," in 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024: IEEE, pp. 1-9. (EI会议)

9. 谢润山, 王士同. 基于函数链神经网络的深度分类器[J]. 南京航空航天大学学报, 2020, 52(05): 736-745. (CSCD核心)

10. 王士同, 谢润山(通讯作者), 周尔昊. 可解释的深度TSK模糊系统综述[J]. 数据采集与处理, 2022, 37(05): 935-951. (CSCD扩展)