研究方向

可信/可解释性/不确定性人工智能，计算智能（模糊计算），可解释集成学习，机器学习与人工智能。

招生信息

计算机科学与技术、人工智能。

科研项目

主要参与国家自然科学基金重大项目、科技部重点专项等。

研究成果及代表性论文

近年来，作为第一作者在相关领域主流期刊发表论文8篇，包括IEEE Trans顶刊系列期刊（IEEE TFS, IEEE SMCA），Information Sciences等。代表论文如下：

1.Yuchen Li, Chi-Man Vong, Shitong Wang. A Fuzzy Large TabNet-based Model and Its Distillation Learning for Noisy-Labeled Data via Consequent Additive Decomposition[J].IEEE Transactions on Fuzzy Systems.Early Access.(JCRQ1, IF 11.9)

2.Yuchen Li, Zhengxun Guo, Chi-Man Vong, Shitong Wang. Nested Stacking TSK Fuzzy Classifier by Additive-rule-decomposition & Anti-noisy-labeling Based Learning on Large-Scale Noisy Labeling Data[J].IEEE Transactions on Fuzzy Systems.Early Access.(JCRQ1, IF 11.9)

3.Yuchen Li, Fu-lai Chung, Shitong Wang. Anti-Noisy-Labeling AUC Maximization Learning for Fuzzy Classification on Imbalanced Data[J].IEEE Transactions on Fuzzy Systems.Early Access.(JCRQ1, IF 11.9)

4.Yuchen Li, Fu-lai Chung, Yusuke Nojima, Shitong Wang. Fully Interpretable Gaussian Centralized TSK Fuzzy Classifier from a Probabilistic Perspective: Concepts, Output-Stability-Based Learning, and Ensemble[J].IEEE Transactions on Fuzzy Systems, 2025, 33(11):3967–3980.(JCRQ1, IF 11.9)

5.Yuchen Li, Fu-lai Chung, Yusuke Nojima, Shitong Wang. A calibrated fully interpretable fuzzy classifier via Vapnik–Chervonenkis-dimension minimization learning[J].Information Sciences, 2025, 713: 122142.(JCRQ1, IF 6.8)

6.Yuchen Li, Erhao Zhou, Chi-Man Vong, Shitong Wang. Stacked Ensemble of Extremely Interpretable Takagi-Sugeno–Kang Fuzzy Classifiers for High-Dimensional Data[J].IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2025, 55(4): 2414–2425.(JCRQ1, IF 8.7)

7.Yuchen Li, Chi-Man Vong, C. L. Phillip Chen, Shitong Wang. Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems[J].Knowledge-Based Systems, 2025, 310: 112923.(JCRQ1, IF 7.6)

8.Yuchen Li, Fu-lai Chung, Shitong Wang. A fully interpretable stacking fuzzy classifier with stochastic configuration-based learning for high-dimensional data[J].Information Sciences, 2025, 686: 121359.(JCRQ1, IF 6.8)

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