7 accepted papers
LiDAR Simultaneous Localization and Mapping (SLAM) has been pivotal in various domains, including digital twins, geographic surveying, and autonomous mobile robotics. However, achieving an optimal balance between high precision and computational efficiency remains a significant challenge. In this pa
Low-rank approximation has emerged as a cornerstone technique for model compression and parameter-efficient fine-tuning, enabling substantial reductions in computation and memory without altering model architectures. However, existing approaches often overlook the shifts in feature distributions ind…
As large language models (LLMs) continue to scale up, their performance on various downstream tasks has significantly improved. However, evaluating their capabilities has become increasingly expensive, as performing inference on a large number of benchmark samples incurs high computational costs. In…
Unified Multimodal Models (UMMs) have shown impressive performance in both understanding and generation with a single architecture. However, UMMs still exhibit a fundamental inconsistency: understanding favors compact embeddings, whereas generation favors reconstruction-rich representations. This st
The design of artificial neural networks (ANNs) is inspired by the structure of the human brain, and in turn, ANNs offer a potential means to interpret and understand brain signals. Existing methods primarily align brain signals with stimulus signals using Mean Squared Error (MSE), which focuses onl…
Time series classification is an important problem in the real world. Due to its non-stationary property that the distribution changes over time, it remains challenging to build models for generalization to unseen distributions. In this paper, we propose to view time series classification from the d…
Sensor-based human activity recognition (HAR) plays an important role in our daily life. Most work on HAR often assumes that training and test samples follow the same data distribution, which is not realistic in practice. For example, activity patterns usually vary from person to person, which will…