3 papers
cs.RO2026
Sparse Compositional Flow Matching by geometric assembly from motion primitives
Yan Tang, Yuanbo Tang, Tingyu Cao +2
Embodied trajectories, such as the executable motion sequences of robotic manipulators, underwater vehicles, and mobile robots, are a fundamental output of embodied AI. Modern gene…
cs.LG2026
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
Yuanbo Tang, Yan Tang, Zixuan Zhang +2
Trajectory generation has recently drawn growing interest in privacy-preserving urban mobility studies and location-based service applications. Although many studies have used deep…
cs.LG2025
Unveiling Hidden Collaboration within Mixture-of-Experts in Large Language Models
Yuanbo Tang, Yan Tang, Naifan Zhang +2
Mixture-of-Experts based large language models (MoE LLMs) have shown significant promise in multitask adaptability by dynamically routing inputs to specialized experts. Despite the…