Zobrazeno 1 - 10
of 5 288
pro vyhledávání: '"Wang, Yufeng"'
Autor:
Yang, Zhou, Ren, Zhaochun, Ye, Chenglong, Wang, Yufeng, Sun, Haizhou, Chen, Chao, Zhu, Xiaofei, Wu, Yunbing, Liao, Xiangwen
In-context learning (ICL) achieves remarkable performance in various domains such as knowledge acquisition, commonsense reasoning, and semantic understanding. However, its performance significantly deteriorates for emotion detection tasks, especially
Externí odkaz:
http://arxiv.org/abs/2406.02642
Autor:
Wang, Yufeng, Sun, Bo
Diamond has the known highest thermal conductivity of around \SI{2000}{\watt\per\meter\per\kelvin} and is therefore widely used for heat dissipation. In practical applications, synthetic diamond microparticles are usually assumed to have similar ther
Externí odkaz:
http://arxiv.org/abs/2405.19835
Autor:
Yang, Zhou, Ren, Zhaochun, Wang, Yufeng, Zhu, Xiaofei, Chen, Zhihao, Cai, Tiecheng, Wu, Yunbing, Su, Yisong, Ju, Sibo, Liao, Xiangwen
Empathetic response generation aims to generate empathetic responses by understanding the speaker's emotional feelings from the language of dialogue. Recent methods capture emotional words in the language of communicators and construct them as static
Externí odkaz:
http://arxiv.org/abs/2402.17437
Autor:
Yang, Zhou, Ren, Zhaochun, Wang, Yufeng, Chen, Chao, Sun, Haizhou, Zhu, Xiaofei, Liao, Xiangwen
Empathetic response generation aims to comprehend the cognitive and emotional states in dialogue utterances and generate proper responses. Psychological theories posit that comprehending emotional and cognitive states necessitates iteratively capturi
Externí odkaz:
http://arxiv.org/abs/2402.17959
Autor:
Lin, Kunyang, Wang, Yufeng, Chen, Peihao, Zeng, Runhao, Zhou, Siyuan, Tan, Mingkui, Gan, Chuang
Learning optimal behavior policy for each agent in multi-agent systems is an essential yet difficult problem. Despite fruitful progress in multi-agent reinforcement learning, the challenge of addressing the dynamics of whether two agents should exhib
Externí odkaz:
http://arxiv.org/abs/2312.05783
Autor:
Wang, Zhen, Yuan, Rui, Liu, Hanqing, Chen, Xiang, Li, Shu, Liu, Kun, Liu, Qibin, Song, Siyuan, Sun, Tong, Wang, Yufeng, Yang, Haijun, Zhang, Junhua, Zhang, Yulei, Zhao, Zhiyu, Zhu, Chunxiang, Zhu, Xuliang, Zhu, Yifan
The sensitivity of the dark photon search through invisible decay final states in low background experiments significantly relies on the neutron and muon veto efficiency, which depends on the amount of material used and the design of detector geometr
Externí odkaz:
http://arxiv.org/abs/2311.01780
Autor:
Liu, Kang, Li, Mengzhao, Zhang, Junhua, Sun, Weiyi, Fan, Yunyun, Liang, Zhijun, Wang, Yufeng, Zhao, Mei, Liu, Kun
AC-coupled Low Gain Avalanche Detector (AC-LGAD) is a new precise detector technology developed in recent years. Based on the standard Low Gain Avalanche Detector (LGAD) technology, AC-LGAD sensors can provide excellent timing performance and spatial
Externí odkaz:
http://arxiv.org/abs/2310.13926
Autor:
Fang, Shuangkang, Wang, Yufeng, Yang, Yi, Tsai, Yi-Hsuan, Ding, Wenrui, Zhou, Shuchang, Yang, Ming-Hsuan
Numerous diffusion models have recently been applied to image synthesis and editing. However, editing 3D scenes is still in its early stages. It poses various challenges, such as the requirement to design specific methods for different editing types,
Externí odkaz:
http://arxiv.org/abs/2309.04917
Autor:
Wang, Yufeng, Eric, Deoul Raj
Sustainability and sustainable supply chain management (SSCM) is increasingly gainingattention from researchers and practitioners, while social sustainability practices researchinitiated by middle management is yet to be explored in both breadth and
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-61572
We present a new category of physics-informed neural networks called physics informed variational embedding generative adversarial network (PI-VEGAN), that effectively tackles the forward, inverse, and mixed problems of stochastic differential equati
Externí odkaz:
http://arxiv.org/abs/2307.11289