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Heng-Yu Zhong

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#machine learning Preprint Sep 2026

Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence

As new evidence arrives, a sequence model must update what it remembers and how memory influences predictions. While Transformers incur computation and cache costs scaling with context length, fixed-state recurrent models offer constant-memory inference. However, linear and spectral recurrences traditionally rely on st...

Wen-Tao Wang, Heng-Yu Zhong, Yun-Han Jiang et al. · 0 citations

Preprint Aug 2026

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured settings. Yet it remains an open question whether current VLA systems can benefit from more effective architectural design, scale to substantial...

GigaBrain Team, An-Gen Ye, Axiang Sun et al. · 6 citations · ⚡1