Zhiwen Yu

Leveraging User Profiling in Click-through Rate Prediction Based on Zhihu Data

2019

With the advent of the Web 2.0 era, the prediction of Click-through Rate (CTR) has been essential to improve the user experience and loyalty for the newly emerged industry, Content Marketing. Additionally, an incisive understanding …

Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification

2019 · IEEE Transactions on Knowledge and Data Engineering

Classifying high-dimensional small-size data is challenging in the field of pattern recognition. Traditional ensemble learning methods have several limitations: 1) sample-space based methods are easily affected by noise and redundant features; 2) feature-space based methods …

Channel prediction method based on the data-driving for distribution automation main station

2024 · Frontiers in Energy Research

A data-driven channel prediction method for distribution automation master is proposed to address the poor quality of communication network and communication system transmission problems in distribution network communication. In this paper, an adaptive broad learning …

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System

2024 · arXiv (Cornell University)

Time series anomaly detection (TSAD) has been a research hotspot in both academia and industry in recent years. Deep learning methods have become the mainstream research direction due to their excellent performance. However, new viewpoints …

Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection

2025 · IEEE Transactions on Neural Networks and Learning Systems

Time-series anomaly detection has gained considerable prominence in numerous practical applications across various domains. Nonetheless, the scarcity of labels leads to the neglect of anomalous patterns in data, as well as the inherent complexities and …