张丹（讲师）查看源代码讨论查看历史
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张丹，女，西南财经大学讲师。
人物简历
教育背景
2018/09-2022/06 电子科技大学 博士
2017/09-2018/07 电子科技大学 硕士（硕博连读）
职业经历
2022/09年至今 西南财经大学计算机与人工智能学院 讲师
研究领域
人工智能
目标检测
研究成果
论文
[1] Zhang D, Mao Y, Liu Y, Xiong L, Zhou L. Multi-source unsupervised domain adaptation for object detection[J]. Information Fusion, 2022, 78: 138-148(SCI, IF:17.564)
[2] Zhang D, Li J, Li X, Du Z, Xiong L, Ye M. Local-global attentive adaptation for object detection[J]. Engineering Applications of Artificial Intelligence, 2021, 100: 104208(SCI, IF: 7.802)
[3] Zhang D, Ye M, Xiong L, Li S, Li X. Source-style transferred mean teacher for source-data free object detection. ACM Multimedia Asia 2021
[4] Li X, Zhang D, Ye M, Li X, Dou Q, Lv Q. Bidirectional generative transductive zero-shot learning[J]. Neural Computing and Applications, 2020, 1-14(SCI, IF:5.102)
[5] Zhang D, Li J, Xiong L, Lin L, Ye M, Yang S. Cycle-consistent domain adaptive faster rcnn[J]. IEEE Access, 2019, 7:123903-123911(SCI, IF: 3.476)
[6] Lin L, Zhang D, Zheng X, Ye M, Guo J. Recurrent matching networks of spatial alignment learning for person re-identification[J]. Multimedia Tools and Applications, 2020, 79(45): 33735- 33755(SCI, IF:2.577)
[7] Xiong L, Ye M, Zhang D, Gan Y, Hou D. Domain adaptation of object detector using scissor-like networks[J]. Neurocomputing, 2021, 453: 263-271(SCI, IF:5.779)
[8] Zhou L, Ye M, Zhang D, Zhu C, Ji L. Prototype-based multisource domain adaptation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021(SCI, IF:14.255)
[9] Xiong L, Ye M, Zhang D, Gan Y, Liu Y. Source data-free domain adaptation for a faster r-cnn[J]. Pattern Recognition, 2021, 108436(SCI, IF:8.518)
[10] Xiong L, Ye M, Zhang D, Gan Y, Li X, Zhu Y. Source data-free domain adaptation of object detector through domain-specific perturbation[J]. International Journal of Intelligent Systems, 2021(SCI, IF:8.993)
科研项目
[1] 国家重点研发计划，2018YFE0203900，基于人工智能的深度网络视频编码方法及系统，2019.8-2023.7，主研[1]