4 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.AI2022★ 4 cited
Multiple Domain Cyberspace Attack and Defense Game Based on Reward Randomization Reinforcement Learning
Lei Zhang, Yu Pan, Yi Liu +2
The existing network attack and defense method can be regarded as game, but most of the game only involves network domain, not multiple domain cyberspace. To address this challenge…
cs.AI2022★ 1 cited
KGRGRL: A User's Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning
Lei Zhang, Yu Pan, Yi Liu +2
In general, multiple domain cyberspace security assessments can be implemented by reasoning user's permissions. However, while existing methods include some information from the ph…
cs.AI2018
Multi-Modal Coreference Resolution with the Correlation between Space Structures
Qibin Zheng, Xingchun Diao, Jianjun Cao +3
Multi-modal data is becoming more common in big data background. Finding the semantically similar objects from different modality is one of the heart problems of multi-modal learni…