Zobrazeno 1 - 10
of 437
pro vyhledávání: '"Ding, Yuxin"'
Federated learning (FL) has shown promising results on training machine learning models with privacy preservation. However, for large models with over 100 million parameters, the training resource requirement becomes an obstacle for FL because common
Externí odkaz:
http://arxiv.org/abs/2408.10443
In this paper, we propose a new setting for generating product descriptions from images, augmented by marketing keywords. It leverages the combined power of visual and textual information to create descriptions that are more tailored to the unique fe
Externí odkaz:
http://arxiv.org/abs/2402.13587
Autor:
Zhou, Lillian, Ding, Yuxin, Chen, Mingqing, Zhang, Harry, Prabhavalkar, Rohit, Guliani, Dhruv, Motta, Giovanni, Mathews, Rajiv
Automatic speech recognition (ASR) models are typically trained on large datasets of transcribed speech. As language evolves and new terms come into use, these models can become outdated and stale. In the context of models trained on the server but d
Externí odkaz:
http://arxiv.org/abs/2310.00141
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues
Conditional inference on joint textual and visual clues is a multi-modal reasoning task that textual clues provide prior permutation or external knowledge, which are complementary with visual content and pivotal to deducing the correct option. Previo
Externí odkaz:
http://arxiv.org/abs/2305.04530
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text
Pretrained Vision-Language Models (VLMs) have achieved remarkable performance in image retrieval from text. However, their performance drops drastically when confronted with linguistically complex texts that they struggle to comprehend. Inspired by t
Externí odkaz:
http://arxiv.org/abs/2305.02265
Autor:
Zhao, Yu, Li, Yunxin, Wu, Yuxiang, Hu, Baotian, Chen, Qingcai, Wang, Xiaolong, Ding, Yuxin, Zhang, Min
Medical dialogue generation is an important yet challenging task. Most previous works rely on the attention mechanism and large-scale pretrained language models. However, these methods often fail to acquire pivotal information from the long dialogue
Externí odkaz:
http://arxiv.org/abs/2206.08611
Autor:
Pelaz, Sara G., Flores-Hernández, Raquel, Vujic, Tatjana, Schvartz, Domitille, Álvarez-Vázquez, Andrea, Ding, Yuxin, García-Vicente, Laura, Belloso, Aitana, Talaverón, Rocío, Sánchez, Jean-Charles, Tabernero, Arantxa
Publikováno v:
In Translational Research October 2024 272:95-110
Autor:
Zhan, Qihua1 (AUTHOR) 2210414008@email.szu.edu.cn, Ding, Yuxin1 (AUTHOR) 2310414019@stumail.sztu.edu.cn, Lei, Tian1 (AUTHOR) leitian@sztu.edu.cn, Yin, Xiaohong1 (AUTHOR) luoqin@sztu.edu.cn, Wei, Leyu2 (AUTHOR) weileyu@cethik.com, Liu, Yunpeng2 (AUTHOR) liuyunpeng@cethik.com, Luo, Qin1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jul2024, Vol. 24 Issue 14, p4555. 16p.
Publikováno v:
In Food Chemistry 15 December 2024 461
Publikováno v:
In Food Chemistry: X 30 June 2024 22