3 papers
cs.LG2026
TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation
Zesen Wang, Lijuan Lan, Yonggang Li +1
Accurate carbon emission monitoring is critical for climate policy and emerging regulatory mechanisms such as the EU Carbon Border Adjustment Mechanism, yet city-level high-frequen…
cs.LG2026
Time-Prompt: Integrated Heterogeneous Prompts for Unlocking LLMs in Time Series Forecasting
Zesen Wang, Lijuan Lan, Yonggang Li
Time series forecasting aims to model temporal dependencies among variables for future state inference, holding significant importance and widespread applications in real-world sce…
cs.LG2025
Regression generation adversarial network based on dual data evaluation strategy for industrial application
Zesen Wang, Yonggang Li, Lijuan Lan
Soft sensing infers hard-to-measure data through a large number of easily obtainable variables. However, in complex industrial scenarios, the issue of insufficient data volume pers…