張丹（講師）檢視原始碼討論檢視歷史
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張丹，女，西南財經大學講師。
人物簡歷
教育背景
2018/09-2022/06 電子科技大學 博士
2017/09-2018/07 電子科技大學 碩士（碩博連讀）
職業經歷
2022/09年至今 西南財經大學計算機與人工智能學院 講師
研究領域
人工智能
目標檢測
研究成果
論文
[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)
科研項目
[1] 國家重點研發計劃，2018YFE0203900，基於人工智能的深度網絡視頻編碼方法及系統，2019.8-2023.7，主研[1]