Zobrazeno 1 - 10
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pro vyhledávání: '"Wang, Xinyuan"'
Autor:
Kumar, Harsh, Xiao, Ruiwei, Lawson, Benjamin, Musabirov, Ilya, Shi, Jiakai, Wang, Xinyuan, Luo, Huayin, Williams, Joseph Jay, Rafferty, Anna, Stamper, John, Liut, Michael
Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However, traditional methods to facilitate reflection often face challenges in
Externí odkaz:
http://arxiv.org/abs/2406.07571
Autor:
Huang, Xijie, Wang, Xinyuan, Zhang, Hantao, Zhu, Yinghao, Xi, Jiawen, An, Jingkun, Wang, Hao, Liang, Hao, Pan, Chengwei
Security concerns related to Large Language Models (LLMs) have been extensively explored, yet the safety implications for Multimodal Large Language Models (MLLMs), particularly in medical contexts (MedMLLMs), remain insufficiently studied. This paper
Externí odkaz:
http://arxiv.org/abs/2405.20775
Autor:
Hao, Shibo, Gu, Yi, Luo, Haotian, Liu, Tianyang, Shao, Xiyan, Wang, Xinyuan, Xie, Shuhua, Ma, Haodi, Samavedhi, Adithya, Gao, Qiyue, Wang, Zhen, Hu, Zhiting
Generating accurate step-by-step reasoning is essential for Large Language Models (LLMs) to address complex problems and enhance robustness and interpretability. Despite the flux of research on developing advanced reasoning approaches, systematically
Externí odkaz:
http://arxiv.org/abs/2404.05221
UNet and its variants have been widely used in medical image segmentation. However, these models, especially those based on Transformer architectures, pose challenges due to their large number of parameters and computational loads, making them unsuit
Externí odkaz:
http://arxiv.org/abs/2403.05246
Feature selection prepares the AI-readiness of data by eliminating redundant features. Prior research falls into two primary categories: i) Supervised Feature Selection, which identifies the optimal feature subset based on their relevance to the targ
Externí odkaz:
http://arxiv.org/abs/2403.04015
The extraordinary performance of large language models has not only reshaped the research landscape in the field of NLP but has also demonstrated its exceptional applicative potential in various domains. However, the potential of these models in mini
Externí odkaz:
http://arxiv.org/abs/2402.09617
Autor:
Wang, Xinyuan, Pan, Chengwei, Dai, Hongming, Zhao, Gangming, Li, Jinpeng, Zhang, Xiao, Yu, Yizhou
Coronary microvascular disease constitutes a substantial risk to human health. Employing computer-aided analysis and diagnostic systems, medical professionals can intervene early in disease progression, with 3D vessel segmentation serving as a crucia
Externí odkaz:
http://arxiv.org/abs/2401.06224
Autor:
Xing, Xingrun, Du, Li, Wang, Xinyuan, Zeng, Xianlin, Wang, Yequan, Zhang, Zheng, Zhang, Jiajun
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(14): 16094-16102
Pretrained foundation models offer substantial benefits for a wide range of downstream tasks, which can be one of the most potential techniques to access artificial general intelligence. However, scaling up foundation transformers for maximal task-ag
Externí odkaz:
http://arxiv.org/abs/2312.08937
Autor:
Wang, Xinyuan
If we want to understand contemporary China, the key is through understanding the older generation. This is the generation in China whose life courses almost perfectly synchronised with the emergence and growth of the ‘New China’ under the rule o
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/76022