Zobrazeno 1 - 10
of 9 822
pro vyhledávání: '"Yan HAO"'
In this paper, a low-cost monopulse receiver with an enhanced direction of arrival (DoA) estimation accuracy via deep neural network (DNN) is proposed. The entire system is composed of a 4-element patch array, a fully planar symmetrical monopulse com
Externí odkaz:
http://arxiv.org/abs/2411.17734
With the shrinking technology nodes, timing optimization becomes increasingly challenging. Approximate logic synthesis (ALS) can perform local approximate changes (LACs) on circuits to optimize timing with the cost of slight inaccuracy. However, exis
Externí odkaz:
http://arxiv.org/abs/2411.10990
In this paper, we compute the expansion of harmonic functions and 1-forms on ALE Ricci-flat 4-manifolds.
Externí odkaz:
http://arxiv.org/abs/2411.09561
Autor:
Yan, Hao, Levin, Keith
Spectral methods are widely used to estimate eigenvectors of a low-rank signal matrix subject to noise. These methods use the leading eigenspace of an observed matrix to estimate this low-rank signal. Typically, the entrywise estimation error of thes
Externí odkaz:
http://arxiv.org/abs/2410.24195
Tilt-to-length (TTL) noise, caused by angular jitter and misalignment, is a major noise source in the inter-satellite interferometer for gravitational wave detection. However, the required level of axis alignment of the optical components is beyond t
Externí odkaz:
http://arxiv.org/abs/2410.15796
Picometer-level quadrangle optical bonding bench for testing interferometric technologies in TianQin
Interferometric techniques are crucial for space-based gravitational wave detection, requiring a picometer-level stable optical bench, precise phasemeter, interstellar transponder low-light phase locking, and laser sideband communication. These techn
Externí odkaz:
http://arxiv.org/abs/2410.13134
Autor:
Yan, Hao, Li, Chaozhuo, Yu, Zhigang, Yin, Jun, Liu, Ruochen, Zhang, Peiyan, Han, Weihao, Li, Mingzheng, Zeng, Zhengxin, Sun, Hao, Deng, Weiwei, Sun, Feng, Zhang, Qi, Wang, Senzhang
Multimodal attributed graphs (MAGs) are prevalent in various real-world scenarios and generally contain two kinds of knowledge: (a) Attribute knowledge is mainly supported by the attributes of different modalities contained in nodes (entities) themse
Externí odkaz:
http://arxiv.org/abs/2410.09132
Autor:
Xie, Xudong, Yin, Liang, Yan, Hao, Liu, Yang, Ding, Jing, Liao, Minghui, Liu, Yuliang, Chen, Wei, Bai, Xiang
Document understanding is a challenging task to process and comprehend large amounts of textual and visual information. Recent advances in Large Language Models (LLMs) have significantly improved the performance of this task. However, existing method
Externí odkaz:
http://arxiv.org/abs/2410.05970
Autor:
Yin, Jun, Zeng, Zhengxin, Li, Mingzheng, Yan, Hao, Li, Chaozhuo, Han, Weihao, Zhang, Jianjin, Liu, Ruochen, Sun, Allen, Deng, Denvy, Sun, Feng, Zhang, Qi, Pan, Shirui, Wang, Senzhang
Owing to the unprecedented capability in semantic understanding and logical reasoning, the pre-trained large language models (LLMs) have shown fantastic potential in developing the next-generation recommender systems (RSs). However, the static index
Externí odkaz:
http://arxiv.org/abs/2409.09253
Autor:
Ling, Yan Hao, Scarlett, Jonathan
In this paper, we consider a concatenated coding based class of DNA storage codes in which the selected molecules are constrained to be taken from an ``inner'' codebook associated with the sequencing channel. This codebook is used in a ``black-box''
Externí odkaz:
http://arxiv.org/abs/2409.01223