Zobrazeno 1 - 10
of 619
pro vyhledávání: '"Lin Jiaqi"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the continuous development and progress of network science and technology, virtual reality technology has been accelerated into the field of education. Intelligent Q&A is integrated with virtual technology to create a virtual classroom in this p
Externí odkaz:
https://doaj.org/article/420ec43547834b4ab4a492399f36e445
Autor:
Lin, Jiaqi, Ren, Qianqian
Traffic prediction is a challenging spatio-temporal forecasting problem that involves highly complex spatio-temporal correlations. This paper proposes a Multi-level Multi-view Augmented Spatio-temporal Transformer (LVSTformer) for traffic prediction.
Externí odkaz:
http://arxiv.org/abs/2406.11921
Autor:
Liu, Jiayue, Tang, Xiao, Cheng, Freeman, Yang, Roy, Li, Zhihao, Liu, Jianzhuang, Huang, Yi, Lin, Jiaqi, Liu, Shiyong, Wu, Xiaofei, Xu, Songcen, Yuan, Chun
3D Gaussian Splatting showcases notable advancements in photo-realistic and real-time novel view synthesis. However, it faces challenges in modeling mirror reflections, which exhibit substantial appearance variations from different viewpoints. To tac
Externí odkaz:
http://arxiv.org/abs/2405.11921
Equilibrium Propagation (EP) is a biologically plausible local learning algorithm initially developed for convergent recurrent neural networks (RNNs), where weight updates rely solely on the connecting neuron states across two phases. The gradient ca
Externí odkaz:
http://arxiv.org/abs/2405.02546
Autor:
Lin, Jiaqi, Li, Zhihao, Tang, Xiao, Liu, Jianzhuang, Liu, Shiyong, Liu, Jiayue, Lu, Yangdi, Wu, Xiaofei, Xu, Songcen, Yan, Youliang, Yang, Wenming
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed. While the recent 3D Gaussian Splatting works well on small-scale and object-centric scenes, scaling it up to large scenes poses c
Externí odkaz:
http://arxiv.org/abs/2402.17427
Spiking Neural Networks (SNNs), providing more realistic neuronal dynamics, have shown to achieve performance comparable to Artificial Neural Networks (ANNs) in several machine learning tasks. Information is processed as spikes within SNNs in an even
Externí odkaz:
http://arxiv.org/abs/2402.01782
Publikováno v:
PLoS ONE 17(10): e0276268 (2022)
The ubiquitous existence of microbial communities marks the importance of understanding how species interact within the community to coexist and their spatial organization. We study a two-species mutualistic cross-feeding model through a stochastic c
Externí odkaz:
http://arxiv.org/abs/2210.15810
Autor:
Good, Aidan, Lin, Jiaqi, Sieg, Hannah, Ferguson, Mikey, Yu, Xin, Zhe, Shandian, Wieczorek, Jerzy, Serra, Thiago
Pruning techniques have been successfully used in neural networks to trade accuracy for sparsity. However, the impact of network pruning is not uniform: prior work has shown that the recall for underrepresented classes in a dataset may be more negati
Externí odkaz:
http://arxiv.org/abs/2206.02976
The statistical study of the Coronal Mass Ejections (CMEs) is a hot topic in solar physics. To further reveal the temporal and spatial behaviors of the CMEs at different latitudes and heights, we analyzed the correlation and phase relationships betwe
Externí odkaz:
http://arxiv.org/abs/2205.05908
Autor:
Gu, Yanhong, Wang, Yilin, Lin, Jiaqi, Pelliciari, Jonathan, Li, Jiemin, Han, Myung-Geun, Schmidt, Marcus Peter, Kotliar, Gabriel, Mazzoli, Claudio, Dean, Mark P. M., Bisogni, Valentina
Publikováno v:
Communications Physics volume 5, Article number: 156 (2022)
The manifestation of skyrmions in the Mott-insulator Cu$_2$OSeO$_3$ originates from a delicate balance between magnetic and electronic energy scales. As a result of these intertwined couplings, the two symmetry-inequivalent magnetic ions, Cu-I and Cu
Externí odkaz:
http://arxiv.org/abs/2204.14209