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pro vyhledávání: '"Guo, YuChen"'
Studying barred galaxies at early epochs can shed light on the early evolution of stellar bars, their impact on secular evolution and the star formation activity of young galaxies, and the origins of present-day barred galaxies like the Milky Way. We
Externí odkaz:
http://arxiv.org/abs/2412.06100
Publikováno v:
ECAI. 2024, 392: 577-584
The corner-based detection paradigm enjoys the potential to produce high-quality boxes. But the development is constrained by three factors: 1) Hard to match corners. Heuristic corner matching algorithms can lead to incorrect boxes, especially when s
Externí odkaz:
http://arxiv.org/abs/2411.15772
Autor:
Wang, Menghan, Guo, Yuchen, Zhang, Duanfeng, Jin, Jianian, Li, Minnie, Schonfeld, Dan, Zhou, Shawn
How to leverage large language model's superior capability in e-commerce recommendation has been a hot topic. In this paper, we propose LLM-PKG, an efficient approach that distills the knowledge of LLMs into product knowledge graph (PKG) and then app
Externí odkaz:
http://arxiv.org/abs/2412.01837
Autor:
Guo, Yuchen, Yang, Shuo
Recent studies have unveiled new possibilities for discovering intrinsic quantum phases that are unique to open systems, including phases with average symmetry-protected topological (ASPT) order and strong-to-weak spontaneous symmetry breaking (SWSSB
Externí odkaz:
http://arxiv.org/abs/2410.13734
Autor:
Guo, Yuchen, Su, Weifeng
Although multi-modality medical image segmentation holds significant potential for enhancing the diagnosis and understanding of complex diseases by integrating diverse imaging modalities, existing methods predominantly rely on feature-level fusion st
Externí odkaz:
http://arxiv.org/abs/2409.10328
Multi-modality image fusion aims to integrate complementary data information from different imaging modalities into a single image. Existing methods often generate either blurry fused images that lose fine-grained semantic information or unnatural fu
Externí odkaz:
http://arxiv.org/abs/2409.10080
Autor:
Guo, Yuchen, Jogee, Shardha, Wise, Eden, Pritchett Jr., Keith, McGrath, Elizabeth J., Finkelstein, Steven L., Iyer, Kartheik G., Haro, Pablo Arrabal, Bagley, Micaela B., Dickinson, Mark, Kartaltepe, Jeyhan S., Koekemoer, Anton M., Papovich, Casey, Pirzkal, Nor, Yung, L. Y. Aaron, Backhaus, Bren E., Bell, Eric F., Bhatawdekar, Rachana, Cheng, Yingjie, Costantin, Luca, de la Vega, Alexander, Giavalisco, Mauro, Hathi, Nimish P., Holwerda, Benne W., Kurczynski, Peter, Lucas, Ray A., Mobasher, Bahram, Pérez-González, Pablo G., Pacucci, Fabio
We analyze $\textit{JWST}$ CEERS NIRCam images to present {the first estimate} of the observed fraction and properties of bars out to $z \sim 4$. We analyze a sample of 1770 galaxies with stellar mass $M_\star > 10^{10} M_\odot$ at $0.5 \leq z \leq 4
Externí odkaz:
http://arxiv.org/abs/2409.06100
Inspired by recent experimental findings, we investigate various scenarios of the doped Hubbard model with impurity potentials. We calculate the lattice Green's function in a finite-size cluster and then map it to the continuum real space, which allo
Externí odkaz:
http://arxiv.org/abs/2408.07635
This study delves into the concept of quantum phases in open quantum systems, examining the shortcomings of existing approaches that focus on steady states of Lindbladians and highlighting their limitations in capturing key phase transitions. In cont
Externí odkaz:
http://arxiv.org/abs/2408.03239
Tracking in gigapixel scenarios holds numerous potential applications in video surveillance and pedestrian analysis. Existing algorithms attempt to perform tracking in crowded scenes by utilizing multiple cameras or group relationships. However, thei
Externí odkaz:
http://arxiv.org/abs/2407.18637