4 papers
REATS: LLM Reasoning-based Ensemble Learning for Adaptive Time Series Forecasting
Xu Zhang, Chang Xu, Hui Sun +5
Due to the diversity of real-world time series, no single forecasting model consistently dominates across all samples. Ensemble learning addresses this by combining complementary m…
Efficient Learned Data Compression via Dual-Stream Feature Decoupling
Huidong Ma, Xinyan Shi, Hui Sun +4
While Learned Data Compression (LDC) has achieved superior compression ratios, balancing precise probability modeling with system efficiency remains challenging. Crucially, uniform…
ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution
Hui Sun, Chang Xu, Haonan Xie +7
LLM-driven Anomaly Detection (AD) helps enhance the understanding and explanatory abilities of anomalous behaviors in Time Series (TS). Existing methods face challenges of inadequa…
PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database
Hui Sun, Yanfeng Ding, Liping Yi +5
Learning-based lossless compressors play a crucial role in large-scale genomic database backup, storage, transmission, and management. However, their 1) inadequate compression rati…