Paper Publications
- [21] LXM.Latent Feature Relation Consistency for Adversarial Robustness.arXiv,2023,
- [22] LXM.CAT: Collaborative Adversarial Training.arXiv,2023,
- [23] LXM.Exploring Invariant Representation for Visible-Infrared Person Re-Identification.arXiv,2023,
- [24] LXM.Learning to Learn Transferable Attack.Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022,2022,36571-579.
- [25] LXM,Learning to Learn Transferable Attack.THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE,571-579.
- [26] LXM.Exploring Target Representations for Masked Autoencoders.arXiv,2022,
- [27] LXM.Enhance Model Stealing Attack via Label Refining.2022 7th International Conference on Intelligent Computing and Signal Processing, ICSP 2022,1040-1043.
- [28] LXM.Aggregating Global and Local Visual Representation for Vehicle Re-IDentification.IEEE Transactions on Multimedia,233968-3977.
- [29] LXM,Multi-scale gem pooling with N-pair center loss for fine-grained image search.Proceedings - IEEE International Conference on Multimedia and Expo,2018,2019-July1000-1005.
- [30] JRR,LXM.Towards Compact Visual Descriptor via Deep Fisher Network with Binary Embedding.Proceedings - IEEE International Conference on Multimedia and Expo,2018,2018-July
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