Machine Learning

Ad-llm: Benchmarking large language models for anomaly detection

Comprehensive benchmark for evaluating LLMs in anomaly detection tasks. (arXiv 2024)

T Yang, Y Nian, S Li, R Xu, Yuangang Li, J Li, Z Xiao, R Rossi, K Ding, X Hu, Yue Zhao

NLP-ADBench: NLP Anomaly Detection Benchmark

Comprehensive benchmark for NLP anomaly detection evaluation. (arXiv 2024)

Yuangang Li, J Li, Z Xiao, T Yang, Y Nian, X Hu, Yue Zhao

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

A novel Federated Learning algorithm for spatio-temporal data analysis in urban environments. (SSTDM @ ICDM 2024)

J Gao, Yuangang Li, SF Ahmed

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

FedMetaMed: Federated Meta-Learning for Personalized Medical Treatment

Federated meta-learning for personalized medical treatment strategies. (BIBM 2024)

J Gao, Yuangang Li

Artificial Intelligence-Aided Digital Twin Design: A Systematic Review

A systematic review of AI in enhancing digital twin. (Preprints 2024)

N Hao, Yuangang Li, K Liu, S Liu, Y Lu, B Xu, C Li, J Chen, L Yue, T Fu, X Hu, Yue Zhao

Artificial Intelligence-Aided Digital Twin Design: A Systematic Review

Fedbcgd: Communication-efficient accelerated block coordinate gradient descent for federated learning

A communication efficient method for federated learning (ACM MM 2024).

J Liu, F Shang, Y Liu, H Liu, Yuangang Li, YX Gong

Fedbcgd: Communication-efficient accelerated block coordinate gradient descent for federated learning

H-FedSN: Hierarchical Federated Learning with Sparse Networks for IoT Applications

Hierarchical federated learning with sparse networks for efficient IoT applications. (arXiv 2024)

J Gao, Yuangang Li, Y Zhao, B Campbell