Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Ni, Fei"'
Autor:
Xiao, Yihang, Liu, Jinyi, Zheng, Yan, Xie, Xiaohan, Hao, Jianye, Li, Mingzhi, Wang, Ruitao, Ni, Fei, Li, Yuxiao, Luo, Jintian, Jiao, Shaoqing, Peng, Jiajie
Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manipulation of various tools to achieve desired outcomes can be labor-inte
Externí odkaz:
http://arxiv.org/abs/2407.09811
Leveraging the powerful generative capability of diffusion models (DMs) to build decision-making agents has achieved extensive success. However, there is still a demand for an easy-to-use and modularized open-source library that offers customized and
Externí odkaz:
http://arxiv.org/abs/2406.09509
Semantic communication (SemCom) aims to achieve high fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy. Nevertheless, semantic communication still suffers from unexpected channel volatility and t
Externí odkaz:
http://arxiv.org/abs/2403.11542
Spreadsheet manipulation is widely existing in most daily works and significantly improves working efficiency. Large language model (LLM) has been recently attempted for automatic spreadsheet manipulation but has not yet been investigated in complica
Externí odkaz:
http://arxiv.org/abs/2403.03636
Recently, there has been considerable attention towards leveraging large language models (LLMs) to enhance decision-making processes. However, aligning the natural language text instructions generated by LLMs with the vectorized operations required f
Externí odkaz:
http://arxiv.org/abs/2402.14245
Diffusion planning has been recognized as an effective decision-making paradigm in various domains. The capability of generating high-quality long-horizon trajectories makes it a promising research direction. However, existing diffusion planning meth
Externí odkaz:
http://arxiv.org/abs/2401.15443
In the swiftly advancing realm of communication technologies, Semantic Communication (SemCom), which emphasizes knowledge understanding and processing, has emerged as a hot topic. By integrating artificial intelligence technologies, SemCom facilitate
Externí odkaz:
http://arxiv.org/abs/2402.03339
Autor:
Dong, Zibin, Yuan, Yifu, Hao, Jianye, Ni, Fei, Mu, Yao, Zheng, Yan, Hu, Yujing, Lv, Tangjie, Fan, Changjie, Hu, Zhipeng
Aligning agent behaviors with diverse human preferences remains a challenging problem in reinforcement learning (RL), owing to the inherent abstractness and mutability of human preferences. To address these issues, we propose AlignDiff, a novel frame
Externí odkaz:
http://arxiv.org/abs/2310.02054
Autor:
Xu Shubo, Wang Shengliang, Xu Chen, Zhao Chenhao, Zhang Weihai, Wang Wenming, Chen Liang, Ren Qihua, Pan Yuefei, Li Jianing, Ren Guocheng, Ni Fei, Han Juanjuan
Publikováno v:
Processing and Application of Ceramics, Vol 18, Iss 3, Pp 235-243 (2024)
Sintering temperature is the key factor affecting the structure and performance of tungsten carbide (WC) ceramics. Thus, the effect of sintering temperature on the microstructure and mechanical properties of WC-Ni-Co coarse grain ceramics, obtained f
Externí odkaz:
https://doaj.org/article/58f89b85aa6445b188ebff3ecbcd2501
Recently, diffusion model shines as a promising backbone for the sequence modeling paradigm in offline reinforcement learning(RL). However, these works mostly lack the generalization ability across tasks with reward or dynamics change. To tackle this
Externí odkaz:
http://arxiv.org/abs/2305.19923