陈芦园，南京林业大学信息科学技术学院、人工智能学院。本硕分别毕业于西南大学和西北工业大学，2024年6月在电子科技大学获得工学博士学位，期间2023年赴意大利罗马大学公派联合培养一年。主要从事信息融合、智能决策推理和不确定人工智能等领域的研究工作，研究成果以(学生)第一作者身份在Information Sciences, Knowledge-based System, Engineering Applications of Artificial Intelligence等刊物上发表论文10余篇。

[1] Luyuan, Chen, Yong Deng*. Entropy of Random Permutation Set. Communications in Statistics-Theory and Methods, 2023: 1-19.

[2] Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. The Distance of Random Permutation Set. Information Sciences, 2023, 628: 226-239.

[3] Luyuan, Chen, Yong Deng*. GDTRSET: a generalized decision-theoretic rough sets based on evidence theory. Artificial Intelligence Review, 2023: 1-22.

[4] Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. Permutation Jensen–Shannon divergence for random permutation set. Engineering Applications of Artificial Intelligence, 2023, 119: 105701.

[5] Luyuan, Chen, Yong Deng*. A new probability transformation approach of mass function. Soft Computing, 2023: 1-10.

[6] Luyuan, Chen, Yong Deng*. An improved evidential Markov decision making model. Applied Intelligence. 2022 52(7): 8008-8017.

[7] Luyuan, Chen, Yong Deng*, and Kang Hao Cheong*. Probability transformation of mass function: A weighted network method based on the ordered visibility graph. Engineering Applications of Artificial Intelligence. 2021 105: 104438.

[8] Luyuan, Chen, Yong Deng*. A new failure mode and effects analysis model using Dempster–Shafer evidence theory and grey relational projection method. Engineering Applications of Artificial Intelligence, 2018, 76: 13-20.

[9] Hui Yu*, Luyuan, Chen, and JingTao Yao. A three-way density peak clustering method based on evidence theory. Knowledge-Based Systems, 2021 211: 106532. (学生一作)

[10] Hui Yu*, Luyuan, Chen, and JingTao Yao. A three-way clustering method based on an improved DBSCAN algorithm. Physica A: Statistical Mechanics and its Applications, 2019 535: 122289. (学生一作)