Zhizhong Liu

2 accepted papers

2026

Learning Spatial-Temporal Consistency for 3D Semantic Scene Completion

Yujie Xue, Meng Wang, Ruihui Li, Fan Wu, Zhizhong Liu, Zhuo Tang +1

CVPR 2026

Camera-based Semantic Scene Completion (SSC) is able to comprehensively understand the entire scene, but it suffers from ambiguous predictions due to occlusions and incomplete information. Temporal SSC alleviates this issue, but existing models simply stack multi-frame temporal features, which can l

Cited by 0 Source ↗Scholar ↗

2025

KAFQN: Kolmogorov-Arnold Fuzzy-guided Q-Network in Reinforcement Learning

Bo Zhao, Zhizhong Liu, Zhuo Tang

ICASSP 2025accepted

Conventional deep reinforcement learning approaches frequently struggle with large-scale parameter complexity and insufficient interpretability, particularly in safety-critical control signal processing tasks that demand transparency. While deep neural networks are highly effective, they typically f…

Cited by 0 Source ↗Scholar ↗