1 citations · 1 across the 5 of their papers we have counts for
5 papers
V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks
Yaru Liu, Ao-bo Wang, Nanyang Ye
Learning long-horizon embodied behaviors from synthetic data remains challenging because generated scenes are often physically implausible, language-driven programs frequently "suc…
FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts
Yiji Zhao, Zihao Zhong, Ao Wang +5
Spatial-Temporal Graph (STG) forecasting on large-scale networks has garnered significant attention. However, existing models predominantly focus on short-horizon predictions and s…
DevPiolt: Operation Recommendation for IoT Devices at Xiaomi Home
Yuxiang Wang, Siwen Wang, Haowei Han +10
Operation recommendation for IoT devices refers to generating personalized device operations for users based on their context, such as historical operations, environment informatio…
Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
Wenzhong Yan, Feng Yin, Jun Gao +3
Fingerprint-based indoor localization is often labor-intensive due to the need for dense grids and repeated measurements across time and space. Maintaining high localization accura…
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving
Zhenjiang Mao, Dong-You Jhong, Ao Wang +1
Out-of-distribution (OOD) detection is essential in autonomous driving, to determine when learning-based components encounter unexpected inputs. Traditional detectors typically use…