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20222026
most citedTEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

20 citations · 38 across the 18 of their papers we have counts for

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Showing 2023Show all

3 papers · 1 filter

cs.NE2023

Curriculum Design Helps Spiking Neural Networks to Classify Time Series

Chenxi Sun, Hongyan Li, Moxian Song +2

Spiking Neural Networks (SNNs) have a greater potential for modeling time series data than Artificial Neural Networks (ANNs), due to their inherent neuron dynamics and low energy c…

cs.LG2023

Curricular and Cyclical Loss for Time Series Learning Strategy

Chenxi Sun, Hongyan Li, Moxian Song +2

Time series widely exists in real-world applications and many deep learning models have performed well on it. Current research has shown the importance of learning strategy for mod…

cs.CL2023★ 20 cited

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Chenxi Sun, Hongyan Li, Yaliang Li +1

This work summarizes two ways to accomplish Time-Series (TS) tasks in today's Large Language Model (LLM) context: LLM-for-TS (model-centric) designs and trains a fundamental large…