Zobrazeno 1 - 10
of 26 437
pro vyhledávání: '"An, Yating"'
Autor:
Liu, Yating, Donnat, Claire
By representing documents as mixtures of topics, topic modeling has allowed the successful analysis of datasets across a wide spectrum of applications ranging from ecology to genetics. An important body of recent work has demonstrated the computation
Externí odkaz:
http://arxiv.org/abs/2501.00535
Autor:
Zheng, Jian, Wu, Size, Liu, Kai, Lyu, Bosai, Liu, Shuhan, Sha, Yating, Li, Zhengxian, Watanabe, Kenji, Taniguchi, Takashi, Jia, Jinfeng, Shi, Zhiwen, Chen, Guorui
Graphene-based moire superlattices provide a versatile platform for exploring novel correlated and topological electronic states, driven by enhanced Coulomb interactions within flat bands. The intrinsic tunability of graphene s multiple degrees of fr
Externí odkaz:
http://arxiv.org/abs/2412.09985
Zero-shot action recognition (ZSAR) requires collaborative multi-modal spatiotemporal understanding. However, finetuning CLIP directly for ZSAR yields suboptimal performance, given its inherent constraints in capturing essential temporal dynamics fro
Externí odkaz:
http://arxiv.org/abs/2412.09895
Autor:
Liu, Yating, Fan, Lulu, Hu, Lei, Lu, Junqiang, Lu, Yan, Xu, Zelin, Zhu, Jiazheng, Wang, Haochen, Kong, Xu
Deep-learning-based methods have been favored in astrophysics owing to their adaptability and remarkable performance and have been applied to the task of the classification of real and bogus transients. Different from most existing approaches which n
Externí odkaz:
http://arxiv.org/abs/2412.02409
Autor:
Wu, Yating, Chu, Tao
In silicon electro-optic (EO) Mach-Zehnder interferometer (MZI) switches, crosstalk is typically limited by beam imbalance between the MZI arms, primarily caused by the free carrier absorption loss during routing, thus hindering switch scalability. T
Externí odkaz:
http://arxiv.org/abs/2411.18139
The edge states of a quantum spin Hall insulator exhibit helical properties, which has generated significant interest in the field of spintronics. Although it is predicted theoretically that Rashba spin-orbit coupling can effectively regulate edge st
Externí odkaz:
http://arxiv.org/abs/2411.17220
Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning
Learning from multiple domains is a primary factor that influences the generalization of a single unified robot system. In this paper, we aim to learn the trajectory prediction model by using broad out-of-domain data to improve its performance and ge
Externí odkaz:
http://arxiv.org/abs/2411.14519
Autor:
Zhang, Yating, Menon, Narayanan
We report measurements of the mean settling velocities for suspensions of discs and rods in the stokes regime for a number of particle aspect ratios. All these shapes display "hindered settling", namely, a decrease in settling speed as the solid volu
Externí odkaz:
http://arxiv.org/abs/2411.14363
Solving multiscale diffusion problems is often computationally expensive due to the spatial and temporal discretization challenges arising from high-contrast coefficients. To address this issue, a partially explicit temporal splitting scheme is propo
Externí odkaz:
http://arxiv.org/abs/2411.09244
Autor:
Fan, Ke, Zhang, Jiangning, Yi, Ran, Gong, Jingyu, Wang, Yabiao, Wang, Yating, Tan, Xin, Wang, Chengjie, Ma, Lizhuang
Text-to-motion generation is a crucial task in computer vision, which generates the target 3D motion by the given text. The existing annotated datasets are limited in scale, resulting in most existing methods overfitting to the small datasets and una
Externí odkaz:
http://arxiv.org/abs/2411.04079