https://liangjian.xyz/assets/liangjian-cv.pdf
可信人工智能、迁移学习、模型安全
国自然面上、北京市科技新星
1. Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, and Jiashi Feng. "Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer." IEEE Transactions on Pattern Analysis and Machine Intelligence (2021).
2. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Aggregating randomized clustering-promoting invariant projections for domain adaptation." IEEE Transactions on Pattern Analysis and Machine Intelligence 41, no. 5 (2018): 1027-1042.
3. Jian Liang, Dapeng Hu, and Jiashi Feng. "Domain Adaptation with Auxiliary Target Domain-Oriented Classifi er." In Proc. CVPR. 2021.
4. Jian Liang, Dapeng Hu, and Jiashi Feng. "Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation." In Proc. ICML. 2020.
5. Jian Liang, Ran He, Zhenan Sun, and Tieniu Tan. "Distant supervised centroid shift: A simple and efficient approach to visual domain adaptation." In Proc. CVPR. 2019.
（1） 北京市科技新星, , 部委级, 2021
（2） 中科院特别研究助理, , 院级, 2021
（3） 中科院优秀博士毕业论文, , 院级, 2020
（4） 中科院院长优秀奖, , 院级, 2018
（5） IEEE ISM Best Paper Candidate, 其他, 2016
[1] 赫然, 孙哲南, 李志航, 梁坚, 曹冬. 一种基于子空间的自步跨模态匹配方法. CN: CN105930873B, 2019-02-12.
[2] 赫然, 谭铁牛, 孙哲南, 梁坚. 一种跨文本模态和图像模态的数据检索方法. CN: CN105205096B, 2019-02-12.
