4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
Junfeng Long, Hao Wu
Graph Neural Networks (GNNs) are powerful learning methods for recommender systems owing to their robustness in handling complicated user-item interactions. Recently, the integrati…
cs.RO2024
GRUtopia: Dream General Robots in a City at Scale
Hanqing Wang, Jiahe Chen, Wensi Huang +19
Recent works have been exploring the scaling laws in the field of Embodied AI. Given the prohibitive costs of collecting real-world data, we believe the Simulation-to-Real (Sim2Rea…
cs.RO2024★ 4 cited
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
Junfeng Long, Zirui Wang, Quanyi Li +3
Robust locomotion control depends on accurate state estimations. However, the sensors of most legged robots can only provide partial and noisy observations, making the estimation p…