2 citations · 3 across the 5 of their papers we have counts for
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cs.DB2024★ 2 cited
Quantum Computing for Databases: Overview and Challenges
Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4
In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showi…
cs.AI2024
Revisiting CNNs for Trajectory Similarity Learning
Zhihao Chang, Linzhu Yu, Huan Li +3
Similarity search is a fundamental but expensive operator in querying trajectory data, due to its quadratic complexity of distance computation. To mitigate the computational burden…
cs.LG2024★ 1 cited
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin, Lidan Shou, Ke Chen +2
Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal feder…