7 accepted papers
Reinforcement Learning (RL) has become a cornerstone for improving the performance of Large Language Models (LLMs). However, its rollout phase constitutes a significant efficiency bottleneck, mainly arising from the long-tail bubbles across data parallel ranks, particularly in long-context scenarios…
Frequency-Modulated Continuous-Wave (FMCW) LiDAR is capable of acquiring dense point clouds along with additional Doppler measurements. For discrete-time-based FMCW LiDAR odometry methods, motion distortion correction for both 3D and Doppler measurements should be performed before scan matching. How
Reliable place recognition in adverse weather remains a critical challenge for autonomous navigation. While 4D millimeter-wave radar provides robust sensing capabilities, its data is characterized by sparsity, multipath noise, and measurement uncertainty. To address these challenges, we propose SEED
Large reasoning models (LRMs) like OpenAI o1 and DeepSeek-R1 achieve high accuracy on complex tasks by adopting long chain-of-thought (CoT) reasoning paths. However, the inherent verbosity of these processes frequently results in redundancy and overthinking. To address this issue, existing works lev…
This paper presents a novel simulation platform, ZeMa, designed for robotic manipulation tasks concerning soft objects. Such simulation ideally requires three properties: two-way soft-rigid coupling, intersection-free guarantee, and frictional contact modeling, with acceptable runtime suitable for l
Identifiction of specific cortico-muscular interactions is essential for understanding sensorimotor control. These interactions are commonly studied by analyzing cortico-muscular coherence (CMC) between electroencephalogram (EEG) and surface electromyogram (sEMG) recorded synchronously under a motor…
The traditional way to estimate the time delay between the motor cortex and the periphery is based on the estimation of the slope of the phase of the cross spectral density between motor cortex electroencephalogram (EEG) and electromyography (EMG) signals recorded synchronously during a motor contro…