Publications

Thesis

Knowledge Transfer in Vision Recognition: A Survey
Ying Lu, Lingkun Luo, Di Huang, Yunhong Wang, Liming Chen. ACM Computing Surveys, 2020.

Discriminative and Geometry Aware Unsupervised Domain Adaptation
Lingkun Luo, Liming Chen, Shiqing Hu, Ying Lu, Xiaofang Wang. IEEE Transactions on Cybernetics, 2019.

Discriminative Transfer Learning using Similarities and Dissimilarities
Ying Lu, Liming Chen, Alexandre Saidi, Emmanuel Dellandrea, Yunhong Wang. IEEE Transactions on Neural Networks and Learning Systems (NNLS), 2018.

Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Ying Lu, Liming Chen, Alexandre Saidi, Xianfeng Gu. International Workshop on Representation, analysis and recognition of shape and motion FroM Image data (RFMI), 2017.

Combining Geometric, Textual and Visual Features for Predicting Prepositions in Image Descriptions
Arnau Ramisa*, Josiah Wang*, Ying Lu, Emmanuel Dellandrea, Francesc Moreno-Noguer, Robert Gaizauskas (*=equal contribution). In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015.

Learning Visual Categories through a Sparse Representation Classifier based Cross-Category Knowledge Transfer
Ying Lu, Liming Chen, Alexandre Saidi, Zhaoxiang Zhang, Yunhong Wang. IEEE International Conference on Image Processing (ICIP), 2014.

Discriminative Label Consistent Domain Adaptation
Lingkun Luo, Liming Chen, Ying Lu, Shiqiang Hu. arXiv preprint arXiv:1802.08077, 2018.

Optimal Transport for Deep Joint Transfer Learning
Ying Lu, Liming Chen, Alexandre Saidi. arXiv preprint arXiv:1709.02995, 2017.