Zobrazeno 1 - 10
of 791
pro vyhledávání: '"Lin, Xiaoyu"'
Large Language Models (LLMs), which simulate human users, are frequently employed to evaluate chatbots in applications such as tutoring and customer service. Effective evaluation necessitates a high degree of human-like diversity within these simulat
Externí odkaz:
http://arxiv.org/abs/2409.00262
Autor:
Pan, Zemin, Jian, Tao, Zhang, Hui, Lin, Xiaoyu, Zhu, Chao, Deng, Jinghao, Cheng, Zhengbo, Liu, Chuansheng, Zhang, Chendong
Monolayer MoTe2 exhibits a variety of derivative structural phases and associated novel electronic properties that enable a wealth of potential applications in future electronic and optoelectronic devices. However, a comprehensive study focusing on t
Externí odkaz:
http://arxiv.org/abs/2407.14360
Autor:
Bai, Yusong, Cao, Guohua, Deng, Jinghao, Fei, Haomin, Lin, Xiaoyu, Li, Leiqiang, Zhu, Chao, Pan, Zemin, Jian, Tao, Huo, Da, Cheng, Zhengbo, Shih, Chih-Kang, Cui, Ping, Zhang, Chendong, Zhang, Zhenyu
Intertwining of different quantum degrees of freedom manifests exotic quantum phenomena in many-body systems, especially in reduced dimensionality. Here we show that monolayered NbTe2 serves as an ideal platform where lattice, charge, and spin degree
Externí odkaz:
http://arxiv.org/abs/2406.15835
In this paper, we propose a latent-variable generative model called mixture of dynamical variational autoencoders (MixDVAE) to model the dynamics of a system composed of multiple moving sources. A DVAE model is pre-trained on a single-source dataset
Externí odkaz:
http://arxiv.org/abs/2312.04167
Autor:
Pan, Zemin, Xiong, Wenqi, Dai, Jiaqi, Wang, Yunhua, Jian, Tao, Cui, Xingxia, Deng, Jinghao, Lin, Xiaoyu, Cheng, Zhengbo, Bai, Yusong, Zhu, Chao, Huo, Da, Li, Geng, Feng, Min, He, Jun, Ji, Wei, Yuan, Shengjun, Wu, Fengcheng, Zhang, Chendong, Gao, Hong-Jun
Kagome lattices have an inherent two-dimensional nature. Despite previous realizations in the monolayer limit, their abilities to drive emergent electronic states such as correlated insulators have remained unobserved. Here, we report the experimenta
Externí odkaz:
http://arxiv.org/abs/2307.06001
This work builds on a previous work on unsupervised speech enhancement using a dynamical variational autoencoder (DVAE) as the clean speech model and non-negative matrix factorization (NMF) as the noise model. We propose to replace the NMF noise mode
Externí odkaz:
http://arxiv.org/abs/2306.07820
The dynamical variational autoencoders (DVAEs) are a family of latent-variable deep generative models that extends the VAE to model a sequence of observed data and a corresponding sequence of latent vectors. In almost all the DVAEs of the literature,
Externí odkaz:
http://arxiv.org/abs/2303.09404
Autor:
Bai, Yusong, Pan, Zemin, Deng, Jinghao, Lin, Xiaoyu, Jian, Tao, Zhu, Chao, Huo, Da, Cheng, Zhengbo, Cui, Ping, Zhang, Zhenyu, Zou, Qiang, Zhang, Chendong
Abstract: Layered transition-metal dichalcogenides (TMDCs) down to the monolayer (ML) limit provide a fertile platform for exploring charge-density waves (CDWs). Though bulk NbTe2 is known to harbor a single axis 3*1 CDW coexisting with non-trivial q
Externí odkaz:
http://arxiv.org/abs/2301.04507
Despite achieving remarkable progress in recent years, single-image super-resolution methods are developed with several limitations. Specifically, they are trained on fixed content domains with certain degradations (whether synthetic or real). The pr
Externí odkaz:
http://arxiv.org/abs/2208.12327
Autor:
Lin, Xiaoyu
The past few years have witnessed the burst of drone-based applications where computer vision plays an essential role. However, most public drone-based vision datasets focus on detection and tracking. On the other hand, the performance of most existi
Externí odkaz:
http://arxiv.org/abs/2208.12655