李江昀
个人信息
Personal information
职称:教授
博士生导师
学科:模式识别与智能系统
所在单位:自动化学院
职务:自动控制研究所所长
主要任职:工业过程知识自动化教育部重点实验室常务副主任
电子邮箱:
联系方式:010-62332780-608
办公地点:北京科技大学机电楼
中国煤炭工业协会科学技术二等奖(排名第二)矿山多模态视觉智能 分析预警关键技术、 装备及系统,2024 北京科技大学“泰山钢铁优秀教师奖”,2022 北京科技大学第一届本科“十佳班主任”,2021 北京科技大学优秀工会干部,2020 北京科技大学“我爱我师”称号,2019 北京科技大学优秀共产党员,2019 北京科技大学先进工作者,2018 中国钢铁工业协会冶金科学技术一等奖(快速变频幅脉冲冷却控制模具扁钢在线预硬化生产线技术装备开发),2015 首届全国高校微课教学比赛北京赛区优秀奖,2011 北京高校第六届青年教师教学基本功比赛二等奖,2009
手机版二维码
Mobile QR code
- [21] Li J*, Liang B, Wang Y. A hybrid neural network for hyperspectral image classification. Remote Sensing Letters. 2020, 11(1): 96-105..2020,
- [22] Liu X, Liu Y, Zhang M, Chen X, Li J*. Improving stockline detection of radar sensor array systems in blast furnaces using a novel encoder–decoder architecture. Sensors. 2019, 19(16): 3470..2019,
- [23] Chen C, Liu X, Ding M, Zheng J, Li J*. 3D dilated multi-fiber network for real-time brain tumor segmentation in MRI. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019: 184-192..2019,
- [24] Li J*, Zhang J, Chang D, Hu Y. Computer‐assisted detection of colonic polyps using improved faster R‐CNN. Chinese Journal of Electronics. 2019, 28(4): 718-24..2019,
- [25] Li J*, Yao P, Guo L, Zhang W. Boosted transformer for image captioning. Applied Sciences. 2019, 9(16): 3260..2019,
- [26] Wang Y, Chen Q, Ding M, Li J*. High precision dimensional measurement with convolutional neural network and bi-directional long short-term memory (LSTM). Sensors. 2019, 19(23): 5302..2019,
- [27] Su W, Guo J, Chen X, Chen G, Li J*. Robust fragmentation modeling of Hegselmann–Krause-type dynamics. Journal of the Franklin Institute. 2019, 356(16): 9867-9880..2019,
- [28] Wang Y, Liang B, Ding M, Li J*. Dense semantic labeling with atrous spatial pyramid pooling and decoder for high-resolution remote sensing imagery. Remote Sensing. 2018, 11(1): 20..2019,
- [29] Li J*, Zhao Y, Fu J, Wu J, Liu J. Attention-guided network for semantic video segmentation. IEEE Access. 2019, 7: 140680-9..2019,
- [30] Li J*, Zhang J, Chang D, Hu Y. Computer‐assisted detection of colonic polyps using improved faster R‐CNN. Chinese Journal of Electronics. 2019, 28(4): 718-24..2019,