职称：讲师
办公室：新行政中心208
研究方向：计算机视觉、人工智能
Email：jfzhuang@stu.edu.cn
学习及工作经历
1.2022年9月至今，买球最好的网站 电子信息工程系 讲师
2.2017年9月至2022年7月，中国科学技术大学 控制科学与工程 博士
3.2013年9月至2017年7月，中国科学技术大学 自动化 学士
科研情况
1.期刊论文
a)Jiafan Zhuang, Zilei Wang*, Junjie Li. Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement. Pattern Recognition, 2022. (SCI一区Top期刊) (在审)
b)Jiafan Zhuang, Zilei Wang*, Bingke Wang. Video Semantic Segmentation with Distortion-Aware Feature Correction. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , 2021. (SCI一区Top期刊)
2.会议论文
a)Yuan Gao, Zilei Wang*, Jiafan Zhuang, Yixin Zhang, Junjie Li. Exploit Domain-robust Optical Flow in Domain Adaptive Video Semantic Segmentation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2022.(CCF A类会议，人工智能顶会) (在审)
b)Yixin Zhang, Zilei Wang*, Junjie Li, Jiafan Zhuang. Low-confidence Samples Matter for Domain Adaptation. Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2022.(CCF A类会议，人工智能顶会) (在审)
c)Jiafan Zhuang, Zilei Wang*, Yuan Gao. Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF A类会议，计算机视觉顶会)
d)Jiafan Zhuang, Yixin Zhang, Xinyu Hu, Junjie Li, Zilei Wang*. 5th Place Solution for VSPW 2021 Challenge. Proceedings of IEEE International Conference on Computer Vision Workshop (ICCVW) , 2022. (CCF A类会议，计算机视觉顶会)
e)Yesheng Zhang, Zilei Wang*, Jiafan Zhuang. Efficient License Plate Recognition via Holistic Position Attention. Proceedings of AAAI Conference on Artificial Intelligence (AAAI) , 2021. (CCF A类会议，人工智能顶会)
f)Jiafan Zhuang, Saihui Hou, Zilei Wang*, Zheng-Jun Zha. Towards Human-Level License Plate Recognition. Proceedings of European Conference on Computer Vision (ECCV) , 2018. (CCF B类会议，计算机视觉顶会)
3.专利
a)王子磊、庄嘉帆，视频语义分割网络的训练方法、系统、设备及存储介质，申请号：202210132989.6，申请日：2022-02-14
b)王子磊、庄嘉帆，轻量级视频语义分割方法、系统、设备及存储介质，申请号：202210068739.0，申请日：2022-01-20
c)王子磊、庄嘉帆，高效准确的车牌识别方法，申请号：201710432232.8，申请日：2017-06-09，专利号：ZL 2017 10432232.8，授权日：2020-01-03，证书号：3651847
