Qin Wan — accepted AI-conference papers

2026

iWorld-Bench: A Benchmark for Interactive World Models with a Unified Action Generation Framework

Jianjie Fang, Yingshan Lei, Qin Wan, Ziyou Wang, Yuchao Huang, Yongyan Xu +5

ICML 2026poster

Achieving Artificial General Intelligence (AGI) requires agents that learn and interact adaptively, with interactive world models providing scalable environments for perception, reasoning, and action. Yet current research still lacks large-scale datasets and unified benchmarks to evaluate their phys…

Cited by 0 Source ↗Scholar ↗

2025

FFBGNet: Full-Flow Bidirectional Feature Fusion Grasp Detection Network Based on Hybrid Architecture

Qin Wan, Shunxing Ning, Haoran Tan, Yaonan Wang, Xiaogang Duan, Zhi Li +2

RA-L 2025

Effectively integrating the complementary information from RGB-D images presents a significant challenge in robotic grasping. In this letter, we propose a full-flow bidirectional feature fusion grasp detection network (FFBGNet) based on a hybrid architecture to generate accurate grasp poses from RGB

Cited by 3 Source ↗Scholar ↗