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of 93 468
pro vyhledávání: '"Wei,Wei"'
Topic Review: Hatsugai-Kohmoto models: Exactly solvable playground for Mottness and Non-Fermi Liquid
This pedagogic review aims to give a gentle introduction to an exactly solvable model, the Hatsugai-Kohmoto (HK) model, which has infinite-ranged interaction but conserves the center of mass. Although this model is invented in 1992, intensive studies
Externí odkaz:
http://arxiv.org/abs/2501.00388
Autor:
Song, Mingcong, Tang, Xinru, Hou, Fengfan, Li, Jing, Wei, Wei, Ma, Yipeng, Xiao, Runqiu, Si, Hongjie, Jiang, Dingcheng, Yin, Shouyi, Hu, Yang, Long, Guoping
Meeting growing demands for low latency and cost efficiency in production-grade large language model (LLM) serving systems requires integrating advanced optimization techniques. However, dynamic and unpredictable input-output lengths of LLM, compound
Externí odkaz:
http://arxiv.org/abs/2412.18106
Quantum computers are known for their potential to achieve up-to-exponential speedup compared to classical computers for certain problems. To exploit the advantages of quantum computers, we propose quantum algorithms for linear stochastic differentia
Externí odkaz:
http://arxiv.org/abs/2412.14868
Stereo video conversion aims to transform monocular videos into immersive stereo format. Despite the advancements in novel view synthesis, it still remains two major challenges: i) difficulty of achieving high-fidelity and stable results, and ii) ins
Externí odkaz:
http://arxiv.org/abs/2412.11512
Autor:
Jiang, Dengyang, Wang, Haoyu, Zhang, Lei, Wei, Wei, Dai, Guang, Wang, Mengmeng, Wang, Jingdong, Zhang, Yanning
Pre-training backbone networks on a general annotated dataset (e.g., ImageNet) that comprises numerous manually collected images with category annotations has proven to be indispensable for enhancing the generalization capacity of downstream visual t
Externí odkaz:
http://arxiv.org/abs/2412.10831
As AI models expand in size, it has become increasingly challenging to deploy federated learning (FL) on resource-constrained edge devices. To tackle this issue, split federated learning (SFL) has emerged as an FL framework with reduced workload on e
Externí odkaz:
http://arxiv.org/abs/2412.07197
Bulk and surface Dirac states accompanied by two superconducting domes in FeSe-based superconductors
Autor:
Hou, Qiang, Wei, Wei, Zhou, Xin, Liu, Wenhui, Wang, Ke, Xing, Xiangzhuo, Zhang, Yufeng, Zhou, Nan, Pan, Yongqiang, Sun, Yue, Shi, Zhixiang
Publikováno v:
PNAS 121, e2409756121 (2024)
Recent investigations of FeSe-based superconductors have revealed the presence of two superconducting domes, and suggest possible distinct pairing mechanisms. Two superconducting domes are commonly found in unconventional superconductors and exhibit
Externí odkaz:
http://arxiv.org/abs/2412.16171
Recently, generative pre-training based models have demonstrated remarkable results on Aspect-based Sentiment Analysis (ABSA) task. However, previous works overemphasize crafting various templates to paraphrase training targets for enhanced decoding,
Externí odkaz:
http://arxiv.org/abs/2412.00763
Recognition of low-quality face images remains a challenge due to invisible or deformation in partial facial regions. For low-quality images dominated by missing partial facial regions, local region similarity contributes more to face recognition (FR
Externí odkaz:
http://arxiv.org/abs/2411.16169
Publikováno v:
Phys. Rev. Research 6, 043163 (2024)
Quantum mechanics empowers the emergence of quantum advantages in various fields, including quantum algorithms. Quantum PageRank is a promising tool for a future quantum internet. Recently, arbitrary phase rotations (APR) have been introduced in the
Externí odkaz:
http://arxiv.org/abs/2411.13114