郭虎升 - 2138CC太阳集团（大数据学院）

郭虎升，博士，教授，博士生导师，2138CC太阳集团人工智能系主任，主要研究方向为数据挖掘、机器学习等，“三晋英才”青年优秀人才。CCF杰出会员、CCF人工智能与模式识别专委会执行委员，CAAI机器学习专委会委员、知识工程专委会委员。担任AAAI、CCFAI、CCDM、CCML、NCIIP等国际国内学术会议的出版主席、论坛主席、程序委员等。近年来，主持国家自然科学基金2项，主持省部级太阳集团、教学改革及其他企事业委托项目10余项，在《IEEE TKDE》、《DMKD》、ICML、CVPR、《软件学报》、《计算机研究与发展》等国内外期刊会议发表论文50余篇，出版国家级教材1部。曾荣获山西省科技进步二等奖、教育部宝钢教育奖、2138cn太阳集团古天乐十佳青年教师、ACM理事会太原分会优博。近年来指导10余名研究生荣获山西省省级优秀学位论文、CCF太原分部优秀学位论文、研究生国家奖学金等重要荣誉及奖励。

[1] Mingming Han, Husheng Guo, Gaoxia Jiang, et al. Rethinking oversampling with class alliance constraints from data complexity perspective. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(11): 6610-6623

[2] Wendong Zheng, Junyang Chen, Husheng Guo, et al. Can DBNNs robust to environmental noise for resource-constrained scenarios? Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025, PMLR 267: 78095-78114

[3] Senyu Hou, Gaoxia Jiang, Jia Zhang, Shangrong Yang, Husheng Guo, Yaqing Guo, Wenjian Wang. Directional label diffusion model for learning from noisy labels. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

[4] Husheng Guo, Zhijie Wu, Zhengqi Liu, et al. Adaptive interactive network component ensemble for streaming data with concept drift. Data Mining and Knowledge Discovery, 2025, 39: 49

[5] Husheng Guo, Zhijie Wu, Qiaoyan Ren, et al. Accelerating the convergence of concept drift based on knowledge transfer. Pattern Recognition, 2025, 159: 111145

[6] Husheng Guo, Xihao Du, WenjianWang. Motion Deep Association for spatio-temporal object tracking. Pattern Recognition, 2025, 168: 111787

[7] Mingming Han, Husheng Guo, Wenjian Wang. A New Data Complexity Measure for Multi-class Imbalanced Classification Tasks. Pattern Recognition, 2025, 157: 110881

[8] 苏睿, 郭虎升, 王婧, 等. 面向开放特征空间的概念演化检测方法. 电子学报, 2025-12

[9] 郭虎升, 张羽桐, 王文剑. 弹性梯度集成的概念漂移适应. 计算机研究与发展, 2025, 62(5): 1235-1247

[10] Husheng Guo, Yang Zhang, Wenjian Wang. Dynamical targeted ensemble learning for streaming data with concept drift. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12): 8023-8036

[11] Husheng Guo, Hai Li, Lu Cong, et al. Online concept evolution detection based on active learning. Data Mining and Knowledge Discovery, 2024, 38: 1589-1633

[12] Rui Su, Husheng Guo, Wenjian Wang. Elastic online deep learning for dynamic streaming data. Information Sciences, 2024, 676: 120799

[13] 郭虎升, 张洋, 王文剑. 面向不同类型概念漂移的双阶段自适应集成方法. 计算机研究与发展, 2024, 61(7): 1799-1811

[14] 郭虎升, 刘艳杰, 王文剑. 基于混合特征提取的流数据概念漂移处理方法. 计算机研究与发展, 2024, 61(6): 1497-1510

[15] Husheng Guo, Hai Li, Ni Sun, et al. Concept drift detection and accelerated convergence of online learning. Knowledge and Information System, 2023, 65: 1005-1043

[16] Husheng Guo, Haosen Xia, Hai Li, et al. Concept evolution detection based on noise reduction soft boundary. Information Sciences, 2023, 628: 391-408

[17] 郭虎升, 丛璐, 高淑花, 等. 基于在线集成的概念漂移自适应分类方法. 计算机研究与发展, 2023, 60(7): 1592−1602

[18] Husheng Guo, Hai Li, Qiaoyan Ren, et al. Concept drift type identification based on multi-sliding windows. Information Sciences, 2022, 585: 1-23

[19] Husheng Guo, Shuai Zhang, Wenjian Wang. Selective ensemble-based online adaptive deep neural networks for streaming data with concept drift. Neural Networks, 2021, 142: 437-456

[20] 郭虎升, 张爱娟, 王文剑. 基于在线性能测试的概念漂移检测方法. 软件学报, 2020, 31(4): 932-947

1. 具有概念漂移特性的流数据自适应建模与高效计算, 国家自然科学基金面上项目, No.62276157, 2023.01-2026.12(主持人)

2. 从大数据到小信息--支持粒度机建模及应用研究, 国家自然科学基金青年项目, No.61503229, 2016.01-2018.12(主持人)

3. 基于分布特征的流数据可靠建模与高效算法设计, 国家自然科学基金面上项目, No.62076154, 2021.01-2024.12(排名第二)

4. 基于数据特性分析的机器学习建模与算法研究, 国家自然科学基金面上项目, No.61673249, 2017.01-2020.12(排名第二)

5. 流数据高效挖掘及概念漂移检测关键技术研究, 山西省自然科学基金面上项目, No.201901D111033, 2019.09-2022.08(主持人)