Zobrazeno 1 - 10
of 726
pro vyhledávání: '"Wu, Jiahao"'
Autor:
Lin, Haojian, Wang, Ximiao, Cao, Zhaolong, Zhu, Hongjia, Wu, Jiahao, Zhan, Runze, Xu, Ningsheng, Deng, Shaozhi, Chen, Huanjun, Liu, Fei
Materials with electromagnetic interference (EMI) shielding in the terahertz (THz) regime, while minimizing the quantity used, are highly demanded for future information communication, healthcare and mineral resource exploration applications. Current
Externí odkaz:
http://arxiv.org/abs/2407.15133
Autor:
Yang, Yanting, Chen, Minghao, Qiu, Qibo, Wu, Jiahao, Wang, Wenxiao, Lin, Binbin, Guan, Ziyu, He, Xiaofei
For a general-purpose robot to operate in reality, executing a broad range of instructions across various environments is imperative. Central to the reinforcement learning and planning for such robotic agents is a generalizable reward function. Recen
Externí odkaz:
http://arxiv.org/abs/2407.14872
Recently, graph condensation has emerged as a prevalent technique to improve the training efficiency for graph neural networks (GNNs). It condenses a large graph into a small one such that a GNN trained on this small synthetic graph can achieve compa
Externí odkaz:
http://arxiv.org/abs/2407.11025
Autor:
Wu, Jiahao, Liu, Jiacheng, Ren, Zheyu, Leung, Man Yin, Leung, Wai Kuen, Ho, Kin On, Wang, Xiangrong, Shao, Qiming, Yang, Sen
Publikováno v:
npj Spintronics volume 2, Article number: 30 (2024)
Frequency conversion is a widely realized physical process in nonlinear systems of optics and electronics. As an emerging nonlinear platform, spintronic devices have the potential to achieve stronger frequency conversion. Here, we demonstrated a micr
Externí odkaz:
http://arxiv.org/abs/2407.03201
Given the existence of various forward and inverse problems in combustion studies and applications that necessitate distinct methods for resolution, a framework to solve them in a unified way is critically needed. A promising approach is the integrat
Externí odkaz:
http://arxiv.org/abs/2406.09071
Incorporating item content information into click-through rate (CTR) prediction models remains a challenge, especially with the time and space constraints of industrial scenarios. The content-encoding paradigm, which integrates user and item encoders
Externí odkaz:
http://arxiv.org/abs/2403.08206
We consider a system of $N$ bosons interacting in a three-dimensional box endowed with periodic boundary condition that is strongly confined in one direction such that the normalized thickness of the box $d\ll1$. We assume particles to interact throu
Externí odkaz:
http://arxiv.org/abs/2401.15540
We investigate the impact of different connectivities on the decoherence time in quantum systems under quasi-static Heisenberg noise. We considered three types of elementary units, including node, stick and triangle and connect them into ring, chain,
Externí odkaz:
http://arxiv.org/abs/2401.00725
Autor:
Wu, Jiahao, Liu, Qijiong, Hu, Hengchang, Fan, Wenqi, Liu, Shengcai, Li, Qing, Wu, Xiao-Ming, Tang, Ke
Modern techniques in Content-based Recommendation (CBR) leverage item content information to provide personalized services to users, but suffer from resource-intensive training on large datasets. To address this issue, we explore the dataset condensa
Externí odkaz:
http://arxiv.org/abs/2310.09874
Training recommendation models on large datasets often requires significant time and computational resources. Consequently, an emergent imperative has arisen to construct informative, smaller-scale datasets for efficiently training. Dataset compressi
Externí odkaz:
http://arxiv.org/abs/2310.01038