3 papers
cs.LG2026
ReCast: Reliability-aware Codebook Assisted Lightweight Time Series Forecasting
Xiang Ma, Taihua Chen, Pengcheng Wang +2
Time series forecasting is crucial for applications in various domains. Conventional methods often rely on global decomposition into trend, seasonal, and residual components, which…
cs.CV2025
Reliable Cross-modal Alignment via Prototype Iterative Construction
Xiang Ma, Litian Xu, Lexin Fang +2
Cross-modal alignment is an important multi-modal task, aiming to bridge the semantic gap between different modalities. The most reliable fundamention for achieving this objective…
cs.CV2025
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Lexin Fang, Yunyang Xu, Xiang Ma +2
Deep learning has achieved significant advancements in medical image segmentation, but existing models still face challenges in accurately segmenting lesion regions. The main reaso…