代表性论著20篇 以第一作者和通讯作者在国内外重要学术期刊上发表SCI论文17篇，其中中科院1区TOP期刊11篇，相关代表性论文如下： [1]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang, Gui Weihua. Memory Shapelet Learning for Early Classification of Streaming Time Series[J]. IEEE Transactions on Cybernetics. 2024, 54(5):2757-2770. (IF: 9.4, SCI, 中科院一区TOP). [2]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang, Gui Weihua. Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning[J]. IEEE Transactions on Industrial Informatics, 2024.20(10):11751-11762.(IF: 11.7, SCI, 中科院一区TOP). [3]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang, Gui Weihua. Convertible Shapelet Learning with Incremental Learning Capability for Industrial Fault Diagnosis under Shape Shift Samples[J]. IEEE Transactions on Industrial Informatics, 2025，21(4): 3356-3365. (IF: 11.7, SCI, 中科院一区TOP). [4]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang, Zeng Zhaohui. Unknown fault incremental learning based on shapelet prototypical network for streaming industrial signals[J]. Engineering Applications of Artificial Intelligence, 2025, 161: 112094. (IF:8.0, SCI, 中科院一区 TOP). [5]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang. Multi-generator adversarial dynamic spatial–temporal shapelet network for anode effect prediction in aluminum electrolysis process[J]. Advanced Engineering Informatics, 2024, 62: 102609. (IF: 9.9, SCI, 中科院一区TOP) [6]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang, Gui Weihua. Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process[J]. Advanced Engineering Informatics, 2024, 60: 102429. (IF: 9.9, SCI, 中科院一区TOP) [7]Wan Xiaoxue, Cen Lihui, Yue Weichao, Xie Yongfang, Chen Xiaofang, Gui Weihua. Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment[J]. Advanced Engineering Informatics, 2024, 59: 102353. (IF: 9.9, SCI, 中科院一区TOP) [8]Wan Xiaoxue, Chen Xiaofang, Gui Weihua, Yue Weichao, Xie Yongfang. A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals[J]. Journal of Central South University, 2020, 27(1): 114-131. (IF: 4.4, SCI, 中科院二区) [9]Wan Xiaoxue, Cen Lihui, Chen Xiaofang, Xie Yongfang. A novel multiple temporal-spatial convolution network for anode current signals classification[J]. International Journal of Machine Learning and Cybernetics, 2022, 13(11): 3299-3310. (IF:3.1, SCI, 中科院三区) [10]Yue Weichao, Hu Haiyang, Wang Fang, Wan Xiaoxue*, Chen Xiaofang. Hierarchical Task-Building based Multi-source Adaptive Meta Transfer Learning for Cross-domain Fault Diagnosi[J], IEEE Transactions on Industrial Informatics, 2026, doi:10.1109/TII.2026.3672888.(IF: 9.9,中科院一区TOP) [11]Yue Weichao, Yu Mengqi, Wang Fang, Li Sanyi, Wan Xiaoxue*, Chen Xiaofang. Dynamic Adaptive Minimum Adjustment Consensus-based Probabilistic Double Hierarchy Linguistic Petri Nets for Superheat Degree Recognition[J], Expert Systems with Applications, 2026, doi:https://doi.org/10.1016/j.eswa.2026.132184.(IF: 7.4996,中科院一区TOP) [12]Yue Weichao, Hou Linfeng, Wan Xiaoxue*, Xie Yongfang, Chen Xiaofang, Gui Weihua. Consensus-based probabilistic hesitant intuitionistic linguistic Petri nets for knowledge-intensive work of superheat degree identification[J]. Advanced Engineering Informatics, 2024, 59: 102261. (IF: 9.9, SCI, 中科院一区TOP) [13]Yue Weichao, Chai Jianing, Wan Xiaoxue*, Xie Yongfang, Chen Xiaofang, Gui Weihua. Root cause analysis for process industry using causal knowledge map under large group environment[J]. Advanced Engineering Informatics, 2023, 57: 102057. (IF: 9.9, SCI, 中科院一区TOP) [14]Yue Weichao, Hou Linfeng, Wan Xiaoxue*, Chen Xiaofang, Gui Weihua. Superheat degree recognition of aluminum electrolysis cell using unbalance double hierarchy hesitant linguistic Petri nets[J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-15. (IF: 5.6, SCI, 中科院二区TOP) [15]Yue Weichao, Hu Haiyang, Wan Xiaoxue*, Chen Xiaofang, Gui Weihua. A Domain Knowledge-Supervised Framework Based on Deep Probabilistic Generation Network for Enhancing Industrial Soft Sensing[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74:1-10. (IF: 5.6, SCI, 中科院二区TOP) [16]Yue Weichao, Chai Jianing, Wan Xiaoxue*, Xie Yongfang, Chen Xiaofang, Gui Weihua. PKG-DTSFLN: Process Knowledge-guided Deep Temporal–spatial Feature Learning Network for anode effects identification[J]. Journal of Process Control, 2024, 138: 103221. (IF: 3.3, SCI, 中科院二区) [17]Yue Weichao, Wan Xiaoxue*, Li Sanyi, Ren Hangli, He Hui*. Simplified neutrosophic Petri nets used for identification of superheat degree[J]. International Journal of Fuzzy Systems, 2022, 24(8): 3431-3455. (IF: 3.6, SCI, 中科院三区) |
