5 papers
MC-TRCM: Observation-Aware Recursive Fusion for Incomplete Mobile and Wearable Mental-Health Feature Views
Wentao Wang, Lifeng Han, Zining Ren +2
Public mobile and wearable mental-health datasets often provide summarized feature tables rather than synchronized raw sensor streams. In these releases, each anchor corresponds to…
Shared Phase and Retention Control for Efficient Adaptive Spectral Recurrence
Wentao Wang, Hengyu Zhong, Yunhan Jiang +2
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 con…
GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture
GigaBrain Team, Angen Ye, Axiang Sun +56
Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured sett…
LinearARD: Linear-Memory Attention Distillation for RoPE Restoration
Ning Yang, Hengyu Zhong, Wentao Wang +4
The extension of context windows in Large Language Models is typically facilitated by scaling positional encodings followed by Continued Pre-Training (CPT). While effective, this p…
Vision-LLMs for Spatiotemporal Traffic Forecasting
Ning Yang, Hengyu Zhong, Haijun Zhang +1
Accurate spatiotemporal traffic forecasting is a critical prerequisite for proactive resource management in dense urban mobile networks. While large language models have shown prom…