6 citations · 19 across the 13 of their papers we have counts for
14 papers
Is Large Language Model Good at Triple Set Prediction? An Empirical Study
Yuan Yuan, Yajing Xu, Wen Zhang
The core of the Knowledge Graph Completion (KGC) task is to predict and complete the missing relations or nodes in a KG. Common KGC tasks are mostly about inferring unknown element…
Photonic KAN: a Kolmogorov-Arnold network inspired efficient photonic neuromorphic architecture
Yiwei Peng, Sean Hooten, Xinling Yu +7
Kolmogorov-Arnold Networks (KAN) models were recently proposed and claimed to provide improved parameter scaling and interpretability compared to conventional multilayer perceptron…
Application of Superconducting Technology in the Electricity Industry: A Game-Theoretic Analysis of Government Subsidy Policies and Power Company Equipment Upgrade Decisions
Mingyang Li, Maoqin Yuan, Han Pengsihua +2
This study investigates the potential impact of "LK-99," a novel material developed by a Korean research team, on the power equipment industry. Using evolutionary game theory, the…
Improving GBDT Performance on Imbalanced Datasets: An Empirical Study of Class-Balanced Loss Functions
Jiaqi Luo, Yuan Yuan, Shixin Xu
Class imbalance remains a significant challenge in machine learning, particularly for tabular data classification tasks. While Gradient Boosting Decision Trees (GBDT) models have p…
Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz
Zhengyu Zhang, Ruisi He, Bo Ai +4
Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for…
Characterization of Wireless Channel Semantics: A New Paradigm
Zhengyu Zhang, Ruisi He, Mi Yang +4
Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information…