制服诱惑

[1] Zhengwei Chi, Xiaoxia Chen, Hanzhong Xia, Chengshuo Liu, Zhen Wang. An adaptive control system based on spatial–temporal graph convolutional and disentangled baseline-volatility prediction of bellows temperature for iron ore sintering process. Journal of Process Control, 2024, 140: 103254. (SCI，JCR二区)

[2] Xiaoxia Chen, Hanzhong Xia, Min Wu, Yue Hu, Zhen Wang. Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction, Knowledge-based Systems, 2024, 289: 111555. (SCI, JCR一区)

[3] Xiaoxia Chen, Yue Hu, Fangyan Dong, Kewei Chen, Hanzhong Xia. A multi-graph spatial-temporal attention network for air-quality prediction. Process Safety and Environmental Protection, 2024, 181: 442-451. (SCI, JCR一区)

[4] Yue Hu, Xiaoxia Chen, Hanzhong Xia. A hybrid prediction model of air quality for sparse station based on spatio-temporal feature extraction. Atmospheric Pollution Research, 2023, 14(6): 101765. (SCI, JCR二区)

[5] Xiaoxia Chen, Xuhua Shi, Ting Lan. A semi-supervised linear-nonlinear prediction system for tumbler strength极 of iron ore sintering process with imbalanced data in multiple working modes. Control Engineering Practice, 2021, 110: 104766. (SCI，JCR二区)

[6] Xiaoxia Chen, Ting Lan, Xuhua Shi, Chudong Tong. A semi-supervised linear–nonlinear least-square learning network for prediction of carbon efficiency in iron ore sintering process. Control Engineering Practice, 2020, 100: 104454. (SCI, JCR二区)

[7] Xiaoxia Chen, Xuhua Shi, Chudong Tong. Multi-time-scale TFe prediction for iron ore sintering process with complex time delay. Control Engineering Practice, 2019, 89: 84-93. (SCI, JCR二区)

[8] Xiaoxia Chen, Chudong Tong, Ting Lan, Lijia Luo. Dynamic process monitoring based on orthogonal dynamic inner neighborhood preserving embedding model. Chemometrics and Intelligent Laboratory Systems, 2019, 193: 103812. (SCI, JCR二区)

[1] 国家自然科学基金委员会, 青年科学基金项目, 61803214, 面向烧结复杂时滞特征的多时间尺度质量性能指标建模, 2019-01-01 至 2021-12-31, 25万元, 结题, 主持

[2] 国能浙江北仑第三发电有限公司, 企事业委托, BLSF-CGFW-2023-087, 2023年煤棚内斗轮机防碰撞检测研究, 2023-10 至 2024-06, 56万元, 结题, 主持

[3] 浙江省自然科学基金委员会，探索项目，LY21F030004, 面向碳效优化的钢铁烧结混合建模, 2021-01 至 2023-12, 10万元, 结题, 主持

[4] 宁波市科技局, 宁波市自然科学基金重点项目, 2019A610451, 面向区域和时-气多尺度特征融合的空气质量预测, 2020-01 至 2021-12, 5万元, 结题, 主持

[5] 宁波市科技局, 宁波市重点研发计划暨“揭榜挂帅”, 2023Z067, 基于增强现实技术的功能软件仿真场景体验平台系统, 2023-05 至 2025-12, 100万元, 在研, 参与

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