Zobrazeno 1 - 10
of 16 812
pro vyhledávání: '"Donghai An"'
Publikováno v:
Energies, Vol 17, Iss 2, p 491 (2024)
The complexity and strong spatial and temporal characteristics of municipal solid waste (MSW) have made resource utilization a major challenge in establishing the life-cycle model of MSW. Based on the planning of the domestic “dual-carbon” target
Externí odkaz:
https://doaj.org/article/f96f48c7fe354318916e732e9c09fdaf
With the rapid development of the latest Spatially Resolved Transcriptomics (SRT) technology, which allows for the mapping of gene expression within tissue sections, the integrative analysis of multiple SRT data has become increasingly important. How
Externí odkaz:
http://arxiv.org/abs/2408.15246
With the rapid advancement of Spatial Resolved Transcriptomics (SRT) technology, it is now possible to comprehensively measure gene transcription while preserving the spatial context of tissues. Spatial domain identification and gene denoising are ke
Externí odkaz:
http://arxiv.org/abs/2408.06377
Autor:
He, Jiaxin, Wang, Wenting, Li, Zhaozhou, Han, Jiaxin, Rodriguez-Gomez, Vicente, Zhao, Donghai, Meng, Xianguang, Jing, Yipeng, Shao, Shi, Shi, Rui, Tan, Zhenlin
We investigate the mass ($M_{200}$) and concentration ($c_{200}$) dependencies of the velocity anisotropy ($\beta$) profiles for different components in the dark matter halo, including halo stars, dark matter and subhalos, using systems from the Illu
Externí odkaz:
http://arxiv.org/abs/2407.14827
Autor:
Ji, Jiaming, Hong, Donghai, Zhang, Borong, Chen, Boyuan, Dai, Josef, Zheng, Boren, Qiu, Tianyi, Li, Boxun, Yang, Yaodong
In this work, we introduce the PKU-SafeRLHF dataset, designed to promote research on safety alignment in large language models (LLMs). As a sibling project to SafeRLHF and BeaverTails, we separate annotations of helpfulness and harmlessness for quest
Externí odkaz:
http://arxiv.org/abs/2406.15513
Autor:
Liang, Jingcong, Wang, Junlong, Zhai, Xinyu, Zhuang, Yungui, Zheng, Yiyang, Xu, Xin, Ran, Xiandong, Dong, Xiaozheng, Rong, Honghui, Liu, Yanlun, Chen, Hao, Wei, Yuhan, Li, Donghai, Peng, Jiajie, Huang, Xuanjing, Shi, Chongde, Feng, Yansong, Song, Yun, Wei, Zhongyu
We give a detailed overview of the CAIL 2023 Argument Mining Track, one of the Chinese AI and Law Challenge (CAIL) 2023 tracks. The main goal of the track is to identify and extract interacting argument pairs in trial dialogs. It mainly uses summariz
Externí odkaz:
http://arxiv.org/abs/2406.14503
Accurately reconstructing road surfaces is pivotal for various applications especially in autonomous driving. This paper introduces a position encoding Multi-Layer Perceptrons (MLPs) framework to reconstruct road surfaces, with input as world coordin
Externí odkaz:
http://arxiv.org/abs/2405.10554
Recent research that combines implicit 3D representation with semantic information, like Semantic-NeRF, has proven that NeRF model could perform excellently in rendering 3D structures with semantic labels. This research aims to extend the Semantic Ne
Externí odkaz:
http://arxiv.org/abs/2403.16043
Autor:
Ji, Jiaming, Chen, Boyuan, Lou, Hantao, Hong, Donghai, Zhang, Borong, Pan, Xuehai, Dai, Juntao, Qiu, Tianyi, Yang, Yaodong
With the rapid development of large language models (LLMs) and ever-evolving practical requirements, finding an efficient and effective alignment method has never been more critical. However, the tension between the complexity of current alignment me
Externí odkaz:
http://arxiv.org/abs/2402.02416
Autor:
Zheng, Yun, Xu, Kun, Jing, Y. P., Zhao, Donghai, Gao, Hongyu, Luo, Xiaolin, Han, Jiaxin, Yu, Yu, Li, Ming
The roles that mass and environment play in the galaxy quenching are still under debate. Leveraging the Photometric objects Around Cosmic webs (PAC) method, we analyze the excess surface distribution $\bar{n}_2w_{\rm{p}}(r_{\rm{p}})$ of photometric g
Externí odkaz:
http://arxiv.org/abs/2401.11997