6 papers
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
Integrating spoken instructions into flight trajectory prediction to optimize automation in air traffic control
Dongyue Guo, Zheng Zhang, Bo Yang +3
The booming air transportation industry inevitably burdens air traffic controllers' workload, causing unexpected human factor-related incidents. Current air traffic control systems…
Attentive-based Multi-level Feature Fusion for Voice Disorder Diagnosis
Lipeng Shen, Yifan Xiong, Dongyue Guo +4
Voice disorders negatively impact the quality of daily life in various ways. However, accurately recognizing the category of pathological features from raw audio remains a consider…
ROSE: A Recognition-Oriented Speech Enhancement Framework in Air Traffic Control Using Multi-Objective Learning
Xincheng Yu, Dongyue Guo, Jianwei Zhang +1
Radio speech echo is a specific phenomenon in the air traffic control (ATC) domain, which degrades speech quality and further impacts automatic speech recognition (ASR) accuracy. I…
A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework with Gray Code Representation
Dongyue Guo, Zheng Zhang, Zhen Yan +2
Flight Trajectory Prediction (FTP) is an essential task in Air Traffic Control (ATC), which can assist air traffic controllers in managing airspace more safely and efficiently. Exi…
WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Dongyue Guo +2
Deep learning models have recently achieved significant performance improvements in time series forecasting. We present a highly accurate and simply structured CNN-based model with…