Zobrazeno 1 - 10
of 30 090
pro vyhledávání: '"Qingsong An"'
Publikováno v:
International Journal of Thermofluids, Vol 20, Iss , Pp 100420- (2023)
Solid oxide fuel cell (SOFC) combined heat and power (CHP) system is a promising candidate for efficient power generation. Due to its complex dynamic characteristics, system performance is still unsatisfied when it operates in variable load condition
Externí odkaz:
https://doaj.org/article/772bbf6855504fa189b6d4cc7c8831f4
The LiDAR-based 3D object detector that strikes a balance between accuracy and speed is crucial for achieving real-time perception in autonomous driving and robotic navigation systems. To enhance the accuracy of point cloud detection, integrating glo
Externí odkaz:
http://arxiv.org/abs/2409.11018
Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time-consuming and labor-intensive. This paper introduces an innovative \textbf{V}irtual \textbf{A}I \textbf{T}eacher system desi
Externí odkaz:
http://arxiv.org/abs/2409.09403
Unsupervised domain adaptation (UDA) of time series aims to teach models to identify consistent patterns across various temporal scenarios, disregarding domain-specific differences, which can maintain their predictive accuracy and effectively adapt t
Externí odkaz:
http://arxiv.org/abs/2409.12169
Knowledge tagging for questions is vital in modern intelligent educational applications, including learning progress diagnosis, practice question recommendations, and course content organization. Traditionally, these annotations have been performed b
Externí odkaz:
http://arxiv.org/abs/2409.08406
Autor:
Gu, Qingsong, Qiu, Hua
We study the boundary value problems for harmonic functions on open connected subsets of post-critically finite (p.c.f.) self-similar sets, on which the Laplacian is defined through a strongly recurrent self-similar local regular Dirichlet form. For
Externí odkaz:
http://arxiv.org/abs/2409.01623
Autor:
Hong, Wenyi, Wang, Weihan, Ding, Ming, Yu, Wenmeng, Lv, Qingsong, Wang, Yan, Cheng, Yean, Huang, Shiyu, Ji, Junhui, Xue, Zhao, Zhao, Lei, Yang, Zhuoyi, Gu, Xiaotao, Zhang, Xiaohan, Feng, Guanyu, Yin, Da, Wang, Zihan, Qi, Ji, Song, Xixuan, Zhang, Peng, Liu, Debing, Xu, Bin, Li, Juanzi, Dong, Yuxiao, Tang, Jie
Beginning with VisualGLM and CogVLM, we are continuously exploring VLMs in pursuit of enhanced vision-language fusion, efficient higher-resolution architecture, and broader modalities and applications. Here we propose the CogVLM2 family, a new genera
Externí odkaz:
http://arxiv.org/abs/2408.16500
Autor:
Mao, Shengzhong, Zhang, Chaoli, Song, Yichi, Wang, Jindong, Zeng, Xiao-Jun, Xu, Zenglin, Wen, Qingsong
Recent advancements in the collection and analysis of sequential educational data have brought time series analysis to a pivotal position in educational research, highlighting its essential role in facilitating data-driven decision-making. However, t
Externí odkaz:
http://arxiv.org/abs/2408.13960
Autor:
Zhong, Aoxiao, Mo, Dengyao, Liu, Guiyang, Liu, Jinbu, Lu, Qingda, Zhou, Qi, Wu, Jiesheng, Li, Quanzheng, Wen, Qingsong
Logs are ubiquitous digital footprints, playing an indispensable role in system diagnostics, security analysis, and performance optimization. The extraction of actionable insights from logs is critically dependent on the log parsing process, which co
Externí odkaz:
http://arxiv.org/abs/2408.13727
Autor:
Zhang, Yi-Fan, Zhang, Huanyu, Tian, Haochen, Fu, Chaoyou, Zhang, Shuangqing, Wu, Junfei, Li, Feng, Wang, Kun, Wen, Qingsong, Zhang, Zhang, Wang, Liang, Jin, Rong, Tan, Tieniu
Comprehensive evaluation of Multimodal Large Language Models (MLLMs) has recently garnered widespread attention in the research community. However, we observe that existing benchmarks present several common barriers that make it difficult to measure
Externí odkaz:
http://arxiv.org/abs/2408.13257