梁坚，副研究员。2013年于西安交通大学获工学学士；2019年于中科院自动化所获工学博士；2019-2021年于新加坡国立大学进行博士后研究工作。主要研究方向为计算机视觉、迁移学习、对抗学习、多模态检索等。在国际著名期刊IEEE TPAMI、TIP、TCSVT、PR与国际顶级会议ICML、CVPR、SIGIR、AAAI、IJCAI、ECCV、ACM MM等发表学术论文30余篇, 曾获得中科院优秀博士学位论文奖、中科院院长奖学金、多媒体大会ISM-2016的最佳论文候选奖，同时担任TPAMI、TNNLS、TIFS、PR等期刊和ICML、NeurIPS、ICLR、CVPR、ICCV等会议的审稿人。

计算机视觉、迁移学习、对抗学习、多模态检索

1. Liang, Jian, Ran He, Zhenan Sun, and Tieniu Tan. "Aggregating randomized clustering-promoting invariant projections for domain adaptation." IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 41, no. 5 (2018): 1027-1042.
2. Liang, Jian, Dapeng Hu, and Jiashi Feng. "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16632-16642. 2021.
3. Liang, Jian, Dapeng Hu, and Jiashi Feng. "Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation." In International Conference on Machine Learning (ICML), pp. 6028-6039. PMLR, 2020.
4. Liang, Jian, Ran He, Zhenan Sun, and Tieniu Tan. "Distant supervised centroid shift: A simple and efficient approach to visual domain adaptation." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2975-2984. 2019.
5. Liang, Jian, Zhihang Li, Dong Cao, Ran He, and Jingdong Wang. "Self-paced cross-modal subspace matching." In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), pp. 569-578. 2016.