Jing Liang

Research on the Fastest Detection Method for Weak Trends under Noise Interference

2021 · Entropy

Trend anomaly detection is the practice of comparing and analyzing current and historical data trends to detect real-time abnormalities in online industrial data-streams. It has the advantages of tracking a concept drift automatically and predicting …

Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition

2023 · IEEE Transactions on Neural Networks and Learning Systems

Broad learning system (BLS), which emerges as a lightweight network paradigm, has recently attracted great attention for recognition problems due to its good balance between efficiency and accuracy. However, the supervision mechanism in BLS and …

Research on improved network security evaluation method of fuzzy hierarchy

2024

In order to further improve network security, a network security situation assessment model fuzzy AHP is designed. Currently significantly between using a diffusion network, first proposed a set of line with the current realities of …

BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

2024 · arXiv (Cornell University)

We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interprets human commands using a Large Language Model (LLM) and …

Behav: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor Scenes

2025

We present BehAV, a novel approach for autonomous robot navigation in outdoor scenes guided by human instructions and leveraging Vision Language Models (VLMs). Our method interprets human commands using a Large Language Model (LLM), and …

Harnessing Unsupervised <scp>LSTM</scp> Autoencoders for Anomaly Detection in Cybersecurity Time Series

2025 · Security and Privacy

ABSTRACT The rapid growth of cyber threats demands effective anomaly detection systems. However, current methods often struggle with novel attacks, high false‐positive rates, and poor interpretability, especially in imbalanced environments. To address these gaps, this …

LCO-LSHADE-GSRL: An enhanced differential evolution algorithm with chaotic orthogonal initialization and GAN-driven specular reflection learning for engineering optimization

2025 · Expert Systems with Applications

Engineering optimization problems are often nonlinear, high-dimensional, and constrained, making them challenging for conventional optimization techniques. Although L-SHADE, an adaptive differential evolution (DE) algorithm with success-history based parameter adaptation, has demonstrated competitive performance, it still …