姓 名：王 钰
最终学位：博 士
职 称：教 授
导师类型：博士生导师
电子邮箱：wangyu@sxu.edu.cn
研究方向：统计机器学习、模式识别、计算机视觉
招生专业：统计学学术学位硕士、应用统计学专业学位硕士、计算机科学与技术学术学位博士
中国计算机学会会员，中国自动化学会会员，IEEE会员。主持国家自然科学基金，山西省自然科学基金，教育部重点实验室基金，山西省研究生教改项目等多项国家和省部级课题。在《IEEE Transactions on Geoscience and Remote Sensing》《IEEE Transactions on Knowledge and Data Engineering》《Neural Computation》《系统科学与数学》《计算机科学与探索》等国内外学术期刊和会议上发表学术论文40余篇。
[1] Wang Yu, Wang Chunheng, Shi Cunzhao, Xiao Baihua. A selection criterion for the optimal resolution of ground-based remote sensing cloud images for cloud classification, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(3): 1358-1367.
[2]Wang Yu, Li Jihong, Li Yanfang, Wang Rruibo, Yang Xingli. Confidence interval for F1 measure of algorithm performance based on blocked 3×2 cross-validation, IEEE Transactions on Knowledge and Data Engineering, 2015, 27(3): 651-659.
[3] Wang Yu, Wang Ruibo, Jia Huichen, Li Jihong. Blocked 3×2 cross-validated t-test for comparing supervised classification learning algorithms, Neural Computation, 2014, 26(1): 208-235.
[4]Wang Yu, Wang Chunheng, Shi Cunzhao, Xiao Baihua. Ground-based cloud classification by learning stable local binary patterns, Atmospheric Research, 2018, 207: 74-89.
[5]Wang Yu, Wang Chunheng, Shi Cunzhao, Xiao Baihua. Integration of cloud top heights retrieved from FY-2 meteorological satellite, radiosonde, and ground-based millimeter wavelength cloud radar observations, Atmospheric Research, 2018, 214: 284-295.
[6] Wang Yu, Shi Cunzhao, Wang Chunheng, Xiao Baihua. Measure for the difference between LBP features extracted from original and resized cloud images with varying resolutions, IEEE Geoscience and Remote Sensing Letters, 2017, 14: 1106-1110.
[7]Wang Yu, Wang Chunheng, Shi Cunzhao, Xiao Baihua. Short-term cloud coverage prediction using the ARIMA time series model, Remote Sensing Letters, 2018, 9: 275-284.
[8] Wang Yu, Li Jihong. Credible intervals for precision and recall based on a K-fold cross-validated beta distribution, Neural Computation, 2016, 28: 1694-1722.
[9] Wang Yu, Li Jihong, Li Yanfang. Choosing between two classification learning algorithms based on calibrated balanced 5 × 2 cross-validated F-test, Neural Processing Letters, 2017, 46(1): 1-13.
[10]Wang Yu, Li Jihong, Li Yanfang. Measure for data partitioning in m×2 cross-validation, Pattern Recognition Letters, 2015, 65: 211-217.
[11]Wang Yu, Wang Chunheng, Shi Cunzhao, Xiao Baihua. Joint encoding LBP features from infrared and visible-light cloud image observations for ground-based cloud classification, IEEE International Geoscience and Remote Sensing Symposium, 2018.
[12] Xingli Yang, Yu Wang, Ruibo Wang, and Jihong Li, Ensemble Feature Selection With Block-Regularized m × 2 Cross-Validation, IEEE Transactions on Neural Networks and Learning Systems, 2023, 34: 6628-6641.
[13]Yan Xue, Xuefei Cao, Xingli Yang, Yu Wang, Ruibo Wang, Jihong Li, We Need to Talk About Reproducibility in NLP Model Comparison, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, 9424-9434.
[14] Haodong Zhang, Yu Wang, Xingli Yang, Cloud detection for satellite cloud images based on fused FCN features, Remote Sensing Letters, 2022, 13: 683-694.
[15] 王钰, 赵晓艳, 杨杏丽, 李济洪. 基于K折交叉验证Beta分布的AUC度量的置信区间, 系统科学与数学, 2020, 40: 1564-1577.
[16]房立超, 王钰, 杨杏丽, 李济洪. 方差正则化的分类模型选择准则, 计算机科学与探索, 2019, 13(03): 101-111.
[1] 国家自然科学青年基金项目（62076156）：气象遥感云图分析与识别的关键技术及理论研究. （主持）
[2] 国家自然科学青年基金项目（61503228）：方差正则化的分类模型选择方法研究. （主持）
[3] 山西省自然科学基金（201901D111034）：基于深度学习动力学模型的区域雾霾建模与分析. （主持）
[1] 获山西省社会科学研究优秀成果二等奖；
[2]指导学生获全国大学生市场调查与分析大赛国家三等奖,；
[3]指导学生获全国研究生统计建模大赛国家二等奖