4 accepted papers
Glycans are basic biomolecules and perform essential functions within living organisms. The rapid increase of functional glycan data provides a good opportunity for machine learning solutions to glycan understanding. However, there still lacks a standard machine learning benchmark for glycan propert…
Fine-tuning is a key approach for adapting language models to specific downstream tasks, but updating all model parameters becomes impractical as model sizes increase.Parameter-Efficient Fine-Tuning (PEFT) methods, such as Low-Rank Adaptation (LoRA), address this challenge by introducing additional…
Recently, Transformers have been introduced into the field of acoustics recognition. They are pre-trained on large-scale datasets using methods such as supervised learning and semi-supervised learning, demonstrating robust generality——It fine-tunes easily to down-stream tasks and shows more robust p…
Road safety for automated vehicles requires accurate and early detection of stationary objects in the vehicle’s path. Radar can use doppler to effectively identify stationary objects and make these identifications at long range and in severe weather and poor light conditions. In this paper, we propo…