师资队伍(按姓名拼音首字母)

国家级领军人才
国家级青年人才
教授(级)
副教授(级)
助理教授(级)
专职博士后

姓名:

袁 钟

职称:

副研究员/硕士生导师

研究方向:

不确定性建模;模糊粒化机理;自监督学习;异常检测

邮箱:

yuanzhong@scu.edu.cn

个人简介

袁钟,工学博士,四川大学计算机学院特聘副研究员,硕士生导师。2022年6月毕业于西南交通大学计算机与人工智能学院。近年来,一直从事不确定性人工智能、不确定性建模与异常检测关键技术的研究,具体研究方向包括不确定性建模、粒计算、模糊集、表示学习、异常检测及其工程应用等。目前,已在国际国内权威学术期刊及会议上发表论文100余篇,其中以第一作者或通讯作者身份,在IEEE TKDE(4篇)、IEEE TNNLS(1篇)、IEEE TCYB(1篇)、IEEE TFS(4篇)、IEEE TSMCA(1篇)、Information Fusion(3篇)、Pattern Recognition(3篇)、Information Sciences(5篇)、Information Processing & Management(1篇)、Applied Soft Computing(5篇)、Knowledge-Based Systems(1篇)、Engineering Applications of Artificial Intelligence(1篇)、Expert Systems with Applications(2篇)、Neurocomputing(1篇)、Fuzzy Sets and Systems(1篇)、International Journal of Machine Learning and Cybernetics(1篇)、International Journal of Approximate Reasoning(1篇)、《计算机研究与发展》(1篇)等国内外核心期刊上发表论文40余篇。截至目前,相关研究成果在谷歌学术总引用次数达2800余次,其中3篇论文入选高被引论文。同时,担任Pattern Recognition和Expert Systems期刊Associate Editor,受邀担任Entropy期刊特刊Guest Editor,还兼任IEEE TKDE、IEEE TSMCA、IEEE TNNLS、IEEE TFS等多个国际重要SCI期刊审稿人。此外,其申请及授权国家发明专利多项,主持或主研国家及省部级项目多项,相关研究成果曾荣获四川省科学技术进步三等奖。

科研项目

主持国家自然科学基金青年科学基金项目

主持四川省区域创新合作项目

主持四川省自然科学基金(青年科学基金B类)

主持横向项目多项

获奖荣誉

2024年四川省科学技术进步三等奖

2022届四川省优秀毕业生

2021年博士研究生国家奖学金

代表性论文

[1] Zhong Yuan, Peng Hu, Hongmei Chen, Yingke Chen, Qilin Li. DFNO: Detecting fuzzy neighborhood outliers[J].IEEE Transactions on Knowledge and Data Engineering, 2025, 37(1): 200-209. 入选高被引论文

[2] Zhong Yuan, Hongmei Chen, Pengfei Zhang, Jihong Wan, Tianrui Li. A novel unsupervised approach to heterogeneous feature selection based on fuzzy mutual information[J].IEEE Transactions on Fuzzy Systems, 2022, 30(9): 3395-3409.

[3] Zhong Yuan, Hongmei Chen, Tianrui Li, Binbin Sang, Shu Wang. Outlier detection based on fuzzy rough granules in mixed attribute data[J].IEEE Transactions on Cybernetics, 2022, 52(8): 8399-8412.

[4] Zhong Yuan, Hongmei Chen, Tianrui Li, Xianyong Zhang, Binbin Sang. Multigranulation relative entropy based mixed attribute outlier detection in neighborhood systems[J].IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022, 52(8): 5175-5187.

[5] Zhong Yuan, Hongmei Chen, Chuan Luo, Dezhong Peng. MFGAD: Multi-fuzzy granules anomaly detection[J].Information Fusion, 2023, 95: 17-25.

[6] Yan Wu, Sihan Wang, Hongmei Chen, Dezhong Peng, Zhong Yuan(通讯作者). Kernelized fuzzy-rough anomaly detection[J].IEEE Transactions on Fuzzy Systems, 2024, 32(8): 4285-4296.

[7] Baiyang Chen, Zhong Yuan(通讯作者), Dezhong Peng, Hongmei Chen, Xiaomin Song, Huiming Zheng. Label-informed outlier detection based on granule density[J].IEEE Transactions on Fuzzy Systems, 2025, 33(4): 1391-1401.

[8] Xinyu Su, Xiwen Wang, Dezhong Peng , Xiaomin Song, Huiming Zheng, Zhong Yuan(通讯作者). Identifying outliers via local granular-ball density[J].IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(10): 18956-18967.

[9] Chang Liu , Zhong Yuan(通讯作者), Yuan Yuan, Hongmei Chen , Dezhong Peng , Xiaomin Song. Fuzzy kNN entropy and its anomaly detection[J].IEEE Transactions on Knowledge and Data Engineering, 2026, 38(1): 338-351.

[10] Xinyu Su, Zheng Li , Dezhong Peng , Hongmei Chen , Zhong Yuan(通讯作者). Natural neighbor fuzzy approximations with granular-ball representation for outlier detection[J].IEEE Transactions on Knowledge and Data Engineering, 2026, 38(3): 1857-1870.