Feng Qian

Feature Learning With a Divergence-Encouraging Autoencoder for Imbalanced Data Classification

2018 · IEEE Access

Imbalanced data exists commonly in machine learning classification applications. Popular classification algorithms are based on the assumption that data in different classes are roughly equally distributed; however, extremely skewed data, with instances from one class …

Research on Control Strategy of Hydraulic Control Unit Test Device Control System

2020 · IOP Conference Series Earth and Environmental Science

Abstract Hydraulic control unit test (HCU) is a complicated process with nonlinear, hysteresis and large parameter change. This paper focuses on the research of PID control strategy which comes from the BP neural network and …

Heterogeneous Data Fusion and Anomaly Detection in Industrial IoT Systems Using Spatio-Temporal Graph Neural Networks

2024

This paper proposes a novel framework for heterogeneous data fusion and anomaly detection in Internet of Things (IoT) systems using spatio-temporal graph neural networks (GNNs). The framework addresses the challenges of integrating multi-source data and …

Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Event extraction plays an important role in natural language processing (NLP) applications including question answering and information retrieval. Traditional event extraction relies heavily on lexical and syntactic features, which require intensive human engineering and may …