Zobrazeno 1 - 10
of 103 576
pro vyhledávání: '"An Wenjun"'
Publikováno v:
MethodsX, Vol 11, Iss , Pp 102370- (2023)
The evolution of shear key design for bridges is accompanied by research on structural earthquake resistance. However, the vast majority of pounding forces, responses, and corresponding data for the study and design of shear keys have been based on e
Externí odkaz:
https://doaj.org/article/1dfde0949e914fbf827a5acb58fe6811
Weakly-supervised methods typically guided the pixel-wise training by comparing the predictions to single-level labels containing diverse segmentation-related information at once, but struggled to represent delicate feature differences between nodule
Externí odkaz:
http://arxiv.org/abs/2410.19332
Integrated sensing and communication (ISAC) is a very promising technology designed to provide both high rate communication capabilities and sensing capabilities. However, in Massive Multi User Multiple-Input Multiple-Output (Massive MU MIMO-ISAC) sy
Externí odkaz:
http://arxiv.org/abs/2410.15659
The soft-output successive cancellation list (SOSCL) decoder provides a methodology for estimating the a-posteriori probability log-likelihood ratios by only leveraging the conventional SCL decoder for polar codes. However, the sequential nature of S
Externí odkaz:
http://arxiv.org/abs/2410.15071
Autor:
Xu, Liang, Hua, Shaoyang, Lin, Zili, Liu, Yifan, Ma, Feipeng, Yan, Yichao, Jin, Xin, Yang, Xiaokang, Zeng, Wenjun
In this paper, we tackle the problem of how to build and benchmark a large motion model (LMM). The ultimate goal of LMM is to serve as a foundation model for versatile motion-related tasks, e.g., human motion generation, with interpretability and gen
Externí odkaz:
http://arxiv.org/abs/2410.13790
Autor:
Zhang, Yiming, He, Baoyi, Zhang, Shengyu, Fu, Yuhao, Zhou, Qi, Sang, Zhijie, Hong, Zijin, Yang, Kejing, Wang, Wenjun, Yuan, Jianbo, Ning, Guanghan, Li, Linyi, Ji, Chunlin, Wu, Fei, Yang, Hongxia
Recent advancements in building domain-specific large language models (LLMs) have shown remarkable success, especially in tasks requiring reasoning abilities like logical inference over complex relationships and multi-step problem solving. However, c
Externí odkaz:
http://arxiv.org/abs/2410.13699
Autor:
Zhao, Guosheng, Ni, Chaojun, Wang, Xiaofeng, Zhu, Zheng, Zhang, Xueyang, Wang, Yida, Huang, Guan, Chen, Xinze, Wang, Boyuan, Zhang, Youyi, Mei, Wenjun, Wang, Xingang
Closed-loop simulation is essential for advancing end-to-end autonomous driving systems. Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are large
Externí odkaz:
http://arxiv.org/abs/2410.13571
The success of current Entity Alignment (EA) task depends largely on the supervision information provided by labeled data. Considering the cost of labeled data, most supervised methods are difficult to apply in practical scenarios. Therefore, more an
Externí odkaz:
http://arxiv.org/abs/2410.13263
In this paper, we propose a novel multi-task, multi-link relay semantic communications (MTML-RSC) scheme that enables the destination node to simultaneously perform image reconstruction and classification with one transmission from the source node. I
Externí odkaz:
http://arxiv.org/abs/2410.12302
Autor:
Xu, Kaishuai, Yu, Tiezheng, Hou, Wenjun, Cheng, Yi, Leong, Chak Tou, Li, Liangyou, Jiang, Xin, Shang, Lifeng, Liu, Qun, Li, Wenjie
Large Language Models (LLMs) have exhibited strong mathematical reasoning and computational prowess, tackling tasks ranging from basic arithmetic to advanced competition-level problems. However, frequently occurring subtle errors, such as miscalculat
Externí odkaz:
http://arxiv.org/abs/2410.06638