27 papers
AlphaSeek: Trajectory-Level Self-Iterative Factor Mining Framework for Multi-Source Financial Data
Qilu Zhu, Zijun Lu, Jianmin Zhu +3
With the rapid rise of large language models, LLM-driven quantitative factor mining has become an increasingly active research area. However, existing methods still suffer from sub…
MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling
Rong Fu, Chunlei Meng, Yangchen Zeng +9
Video super-resolution (VSR) aims to recover high-fidelity high-resolution videos from low-resolution inputs and is central to applications ranging from mobile capture to streaming…
ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
Jiekai Wu, Rong Fu, Chuangqi Li +10
Remote sensing segmentation in real deployment is inherently continual: new semantic categories emerge, and acquisition conditions shift across seasons, cities, and sensors. Despit…
CACR:Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
Muge Qi, Rong Fu, Pengbin Feng +7
The task of temporal answer grounding in instructional video (TAGV), which aims to locate precise video segments that respond to natural language queries, is increasingly important…
VICR: Visual In-Context Restoration for Real-World Image Super-Resolution
Qichang Zhang, Hailong Wang, Baiang Li +4
Real-world image super-resolution (Real-ISR) requires balancing structural fidelity to degraded observations with realistic detail synthesis. However, existing generative Real-ISR…
SphUnc: Hyperspherical Uncertainty Decomposition and Causal Identification via Information Geometry
Rong Fu, Chunlei Meng, Jinshuo Liu +8
Reliable decision-making in complex multi-agent systems requires calibrated predictions and interpretable uncertainty. We introduce SphUnc, a unified framework combining hyperspher…