2 citations · 4 across the 5 of their papers we have counts for
5 papers
SPECTRA: State-Space Exogenous Context and Temporal-Frequency Resolution Architecture for Probabilistic Energy Forecasting
Hang Ye, Xinyan Jiang, Yuedong Shi +5
Modern power systems increasingly require probabilistic forecasts amid interacting uncertainties from renewable intermittency, flexible demand, market volatility, and weather-depen…
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series Forecasting
Hang Ye, Gaoxiang Duan, Haoran Zeng +4
Multivariate long-term and efficient time series forecasting is a key requirement for a variety of practical applications, and there are complex interleaving time dynamics in time…
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
Xinyan Jiang, Hang Ye, Yongxin Zhu +3
Large Language Models (LLMs) often generate hallucinations, producing outputs that are contextually inaccurate or factually incorrect. We introduce HICD, a novel method designed to…
Bitformer: An efficient Transformer with bitwise operation-based attention for Big Data Analytics at low-cost low-precision devices
Gaoxiang Duan, Junkai Zhang, Xiaoying Zheng +2
In the current landscape of large models, the Transformer stands as a cornerstone, playing a pivotal role in shaping the trajectory of modern models. However, its application encou…
Early-fusion Based Pulsar Identification with Smart Under-sampling
ShiChuan Zhang, XiangCong Kong, YueYing Zhou +5
The discovery of pulsars is of great significance in the field of physics and astronomy. As the astronomical equipment produces a large amount of pulsar data, an algorithm for auto…