Zobrazeno 1 - 10
of 994
pro vyhledávání: '"Li, JiaJie"'
Autor:
Li, Jiajie, Schmelzle, Jan-Niklas, Du, Yixiao, Heumos, Simon, Guarracino, Andrea, Guidi, Giulia, Prins, Pjotr, Garrison, Erik, Zhang, Zhiru
Computational Pangenomics is an emerging field that studies genetic variation using a graph structure encompassing multiple genomes. Visualizing pangenome graphs is vital for understanding genome diversity. Yet, handling large graphs can be challengi
Externí odkaz:
http://arxiv.org/abs/2409.00876
Autor:
Li, Jiajie, Skinner, Garrett, Yang, Gene, Quaranto, Brian R, Schwaitzberg, Steven D, Kim, Peter C W, Xiong, Jinjun
Multimodal large language models (LLMs) have achieved notable success across various domains, while research in the medical field has largely focused on unimodal images. Meanwhile, current general-domain multimodal models for videos still lack the ca
Externí odkaz:
http://arxiv.org/abs/2408.07981
Autor:
Zhang, Daiwei, Li, Gengyan, Li, Jiajie, Bressieux, Mickaël, Hilliges, Otmar, Pollefeys, Marc, Van Gool, Luc, Wang, Xi
Human activities are inherently complex, often involving numerous object interactions. To better understand these activities, it is crucial to model their interactions with the environment captured through dynamic changes. The recent availability of
Externí odkaz:
http://arxiv.org/abs/2406.19811
Autor:
Liu, Dancheng, Nassereldine, Amir, Yang, Ziming, Xu, Chenhui, Hu, Yuting, Li, Jiajie, Kumar, Utkarsh, Lee, Changjae, Xiong, Jinjun
Large language models (LLMs) have attracted significant attention for their remarkable abilities in various natural language processing tasks, but they suffer from hallucinations that will cause performance degradation. One promising solution to impr
Externí odkaz:
http://arxiv.org/abs/2406.15673
We build a new mathematical model of shape optimization for maximizing ionic concentration governed by the multi-physical coupling steady-state Poisson-Nernst-Planck system. Shape sensitivity analysis is performed to obtain the Eulerian derivative of
Externí odkaz:
http://arxiv.org/abs/2406.09616
Autor:
Qin, Ruiyang, Liu, Dancheng, Xu, Chenhui, Yan, Zheyu, Tan, Zhaoxuan, Jia, Zhenge, Nassereldine, Amir, Li, Jiajie, Jiang, Meng, Abbasi, Ahmed, Xiong, Jinjun, Shi, Yiyu
The scaling laws have become the de facto guidelines for designing large language models (LLMs), but they were studied under the assumption of unlimited computing resources for both training and inference. As LLMs are increasingly used as personalize
Externí odkaz:
http://arxiv.org/abs/2406.03777
Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a complex and challenging problem. To address this challenge, an advanced met
Externí odkaz:
http://arxiv.org/abs/2405.18725
Autor:
Li, Jiajie, Zhu, Shengfeng
We study topology optimization governed by the incompressible Navier-Stokes flows using a phase field model. Novel stabilized semi-implicit schemes for the gradient flows of Allen-Cahn and Cahn-Hilliard types are proposed for solving the resulting op
Externí odkaz:
http://arxiv.org/abs/2405.05098
Autor:
Li, Jiajie, Xiong, Jinjun
Private Inference (PI) enables deep neural networks (DNNs) to work on private data without leaking sensitive information by exploiting cryptographic primitives such as multi-party computation (MPC) and homomorphic encryption (HE). However, the use of
Externí odkaz:
http://arxiv.org/abs/2403.08024
Autor:
Qian, Kejiang, Mao, Lingjun, Liang, Xin, Ding, Yimin, Gao, Jin, Wei, Xinran, Guo, Ziyi, Li, Jiajie
In urban planning, land use readjustment plays a pivotal role in aligning land use configurations with the current demands for sustainable urban development. However, present-day urban planning practices face two main issues. Firstly, land use decisi
Externí odkaz:
http://arxiv.org/abs/2310.16772