Zobrazeno 1 - 10
of 1 639
pro vyhledávání: '"XU, Guoqiang"'
Nonreciprocal thermophotonics, by breaking Lorentz reciprocity, exceeds current theoretical efficiency limits, unlocking opportunities to energy devices and thermal management. However, energy transfer in current systems is highly defect-sensitive. T
Externí odkaz:
http://arxiv.org/abs/2410.23651
Autor:
Li, Hanyu, Ma, Weizhi, Sun, Peijie, Li, Jiayu, Yin, Cunxiang, He, Yancheng, Xu, Guoqiang, Zhang, Min, Ma, Shaoping
Cross-domain recommender (CDR) systems aim to enhance the performance of the target domain by utilizing data from other related domains. However, irrelevant information from the source domain may instead degrade target domain performance, which is kn
Externí odkaz:
http://arxiv.org/abs/2403.20296
Autor:
Zhou, Ruiwen, Yang, Yingxuan, Wen, Muning, Wen, Ying, Wang, Wenhao, Xi, Chunling, Xu, Guoqiang, Yu, Yong, Zhang, Weinan
Numerous large language model (LLM) agents have been built for different tasks like web navigation and online shopping due to LLM's wide knowledge and text-understanding ability. Among these works, many of them utilize in-context examples to achieve
Externí odkaz:
http://arxiv.org/abs/2403.06221
Due to the sparsity of user data, sentiment analysis on user reviews in e-commerce platforms often suffers from poor performance, especially when faced with extremely sparse user data or long-tail labels. Recently, the emergence of LLMs has introduce
Externí odkaz:
http://arxiv.org/abs/2403.06139
Though Large Language Models (LLMs) have demonstrated the powerful capabilities of few-shot learning through prompting methods, supervised training is still necessary for complex reasoning tasks. Because of their extensive parameters and memory consu
Externí odkaz:
http://arxiv.org/abs/2403.01165
Though notable progress has been made, neural-based aspect-based sentiment analysis (ABSA) models are prone to learn spurious correlations from annotation biases, resulting in poor robustness on adversarial data transformations. Among the debiasing s
Externí odkaz:
http://arxiv.org/abs/2403.01166
Heat management is crucial for state-of-the-art applications such as passive radiative cooling, thermally adjustable wearables, and camouflage systems. Their adaptive versions, to cater to varied requirements, lean on the potential of adaptive metama
Externí odkaz:
http://arxiv.org/abs/2301.04523
Autor:
Wang, Kai1 (AUTHOR) 200900027@hhvc.edu.cn, Xu, Guoqiang2,3 (AUTHOR) xgq5@imut.edu.cn, Zhao, Xiaochen2 (AUTHOR) ayzhaoxiaochen@126.com, Li, Guo2,3 (AUTHOR) 20211100430@imut.edu.cn, Mai, Lisi2 (AUTHOR)
Publikováno v:
Energies (19961073). Oct2024, Vol. 17 Issue 19, p4828. 15p.
Autor:
Li, Yuncong, Yin, Cunxiang, He, Yancheng, Xu, Guoqiang, Cai, Jing, Luo, Leeven, Zhong, Sheng-hua
Given a user's historical interaction sequence, online novel recommendation suggests the next novel the user may be interested in. Online novel recommendation is important but underexplored. In this paper, we concentrate on recommending online novels
Externí odkaz:
http://arxiv.org/abs/2209.01963
Quantized bulk quadrupole moment has unveiled a nontrivial boundary state, exhibiting lower-dimensional topological edge states and simultaneously hosting the in-gap corner modes of zero dimension. All state-of-the-art strategies for topological ther
Externí odkaz:
http://arxiv.org/abs/2206.11856