Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Han, Xueting"'
Modeling biological sequences such as DNA, RNA, and proteins is crucial for understanding complex processes like gene regulation and protein synthesis. However, most current models either focus on a single type or treat multiple types of data separat
Externí odkaz:
http://arxiv.org/abs/2410.11499
Post-training, particularly reinforcement learning (RL) using self-play-generated data, has become a new learning paradigm for large language models (LLMs). However, scaling RL to develop a general reasoner remains a research challenge, as existing m
Externí odkaz:
http://arxiv.org/abs/2409.08642
The considerable size of Large Language Models (LLMs) presents notable deployment challenges, particularly on resource-constrained hardware. Structured pruning, offers an effective means to compress LLMs, thereby reducing storage costs and enhancing
Externí odkaz:
http://arxiv.org/abs/2402.09773
Pre-training & fine-tuning is a prevalent paradigm in computer vision (CV). Recently, parameter-efficient transfer learning (PETL) methods have shown promising performance in transferring knowledge from pre-trained models with only a few trainable pa
Externí odkaz:
http://arxiv.org/abs/2306.09729
Temporal Graph Learning, which aims to model the time-evolving nature of graphs, has gained increasing attention and achieved remarkable performance recently. However, in reality, graph structures are often incomplete and noisy, which hinders tempora
Externí odkaz:
http://arxiv.org/abs/2306.07699
Fine-tuning pre-trained models has recently yielded remarkable performance gains in graph neural networks (GNNs). In addition to pre-training techniques, inspired by the latest work in the natural language fields, more recent work has shifted towards
Externí odkaz:
http://arxiv.org/abs/2304.09595
Graph neural networks (GNNs) is widely used to learn a powerful representation of graph-structured data. Recent work demonstrates that transferring knowledge from self-supervised tasks to downstream tasks could further improve graph representation. H
Externí odkaz:
http://arxiv.org/abs/2107.08765
Autor:
Fu, Mingqiang, Wang, Yanyan, Han, Xueting, Yuan, Shuai, Liu, Yuan, Qian, Juying, Zhou, Jingmin, Ge, Junbo
Publikováno v:
In The American Journal of Cardiology 15 February 2024 213:86-92
Autor:
Li, Aili, Yang, Sijia, Han, Xueting, Liu, Chuan, Zheng, Jie, Ma, Yiming, Cheng, Shihui, Zhao, Jingwen, Zhou, Wenjia, Du, Peng
Publikováno v:
In Food Bioscience February 2024 57
Autor:
Li, Aili, Liu, Chuan, Han, Xueting, Zheng, Jie, Zhang, Guofang, Qi, Xiaoxi, Du, Peng, Liu, Libo
Publikováno v:
In Food Chemistry: X 30 December 2023 20