Shiwen Li — accepted AI-conference papers

2026

CorrectManip: A Data-Driven Closed-Loop Framework for Autonomous Skill Learning with Failure Recovery

Shiwen Li, Zhen Yang, Zuofu Wang, Bin Ma, Ye Tengju, Shiyu Zhao +2

ICRA 2026poster

Simulation-based training offers an efficient paradigm for robotic skill learning, providing scalable data generation while reducing reliance on costly hardware trials and manual data collection. However, existing methods that rely on handcrafted scenarios fail to fully cover the complexity of open-…

Cited by 0 Scholar ↗

2024

Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search

Lujun Li, Haosen Sun, Shiwen Li, Peijie Dong, Wenhan Luo, Wei Xue +2

ECCV 2024poster

"In this paper, we introduce Auto-GAS, the first training-free Generative Architecture Search (GAS) framework enabled by an auto-discovered proxy. Generative models like Generative Adversarial Networks (GANs) are now widely used in many real-time applications. Previous GAS methods use differentiable…

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