no code implementations • 18 Nov 2022 • Huawei Hou, Suzhi Bi, Lili Zheng, Xiaohui Lin, Yuan Wu, Zhi Quan
In this paper, we propose a Domain-Agnostic and Sample-Efficient wireless indoor crowd Counting (DASECount) framework that suffices to attain robust cross-domain detection accuracy given very limited data samples in new domains.
no code implementations • 1 Jul 2021 • Xiaohui Lin, Yongquan Jiang, Yan Yang
In order to indicate the effect of DMGCN model, the model is compared with the model DeeperGCN-DAGNN and the method of calculating molecular conformation in RDKit.
no code implementations • 18 Jan 2021 • Sissi Xiaoxiao Wu, Gangqiang Li, Shengli Zhang, Xiaohui Lin
Simulation results demonstrate that the proposed AI-based methods are beneficial to improve performance of detecting and localizing malicious agents over score-based methods, and the peer-to-peer neural network model is indeed robust to target issues.