In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an upcoming alternative to deep networks, taking inspiration from the brain for achieving unprecedented…
Atrial fibrillation (AF) is a frequent complication of heart failure (HF), markedly increasing morbidity and mortality. Although atrial fibrosis is increasingly recognized as a central mechanistic substrate linking HF to AF, the molecular determinants driving fibrotic remodeling…
Recent work suggests that soil-borne viruses play an important role in controlling carbon (C) cycling and stocks. However, the contribution of individual prophage (i.e., temperate phages residing within bacterial hosts during lysogenic cycle) to C degradation remains largely undo…
Digital sewing patterns typically consist of disjoint 2D panels without explicit stitch annotations, making downstream 3D modeling reliant on labor-intensive expert specification. In this paper, we present a graph-based learning framework that reconstructs two-level stitching inf…
Mobile GUI agents increasingly face long-horizon tasks that require reading, updating, and reusing task-relevant data across pages and applications. Existing methods treat memory largely as passive storage, where past observations are accumulated and retrieved when needed. Yet re…
MLLM-based GUI grounding methods commonly formulate target localization as autoregressive coordinate generation, enabling models to leverage the strong instruction-following and semantic understanding capabilities of MLLMs. However, this formulation requires the model to retain r…