Feng Qi — Papers on Cortexa

openalexComplex & Intelligent Systems2026-07-26

An ensemble learning feature selection and heterogeneous fusion XGBoost algorithm for arrhythmia classification

Feng Qi, Du-cheng Shi, Er-quan Li, Xiao-li Wang, Jun Cheng

The intelligent classification of electrocardiogram (ECG) signals is of great significance in the early diagnosis and intervention of cardiovascular diseases. However, challenges such as feature redundancy and data imbalance often result in reduced classification accuracy. To add…

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arxivcs.IRcs.LG2026-07-10

Tokenizing Numerical and Embedding Features for LLM RecSys

Zhe Xu, Ankit Peshin, Chiyu Zhang, Feng Qi, Johnson Lui, Anil Ramakrishna, et al.

Large language models (LLMs) are increasingly used as backbone architectures for recommender systems because of their strong sequence modeling and representation learning capabilities. However, most LLM-based recommenders operate primarily on discrete textual tokens, whereas prac…

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