Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Liao, Zihan"'
Autor:
Kan, Zhehan, Zhang, Ce, Liao, Zihan, Tian, Yapeng, Yang, Wenming, Xiao, Junyuan, Li, Xu, Jiang, Dongmei, Wang, Yaowei, Liao, Qingmin
Large Vision-Language Model (LVLM) systems have demonstrated impressive vision-language reasoning capabilities but suffer from pervasive and severe hallucination issues, posing significant risks in critical domains such as healthcare and autonomous s
Externí odkaz:
http://arxiv.org/abs/2411.12713
Bayesian analysis plays a crucial role in estimating distribution of unknown parameters for given data and model. Due to the curse of dimensionality, it is difficult to infer high-dimensional problems, especially when multiple modes exist. This paper
Externí odkaz:
http://arxiv.org/abs/2409.19910
In the realm of Large Language Models (LLMs), the ability to process long contexts is increasingly crucial for tasks such as multi-round dialogues, code generation, and document summarization. This paper addresses the challenges of enhancing the long
Externí odkaz:
http://arxiv.org/abs/2409.06679
Autor:
Liao, Zihan, Liu, Fan, Li, Shuangyang, Xiong, Yifeng, Yuan, Weijie, Masouros, Christos, Lops, Marco
Integrated sensing and communications (ISAC) has emerged as a pivotal enabling technology for next-generation wireless networks. Despite the distinct signal design requirements of sensing and communication (S&C) systems, shifting the symbol-wise puls
Externí odkaz:
http://arxiv.org/abs/2407.15530
The key challenge in semantic search is to create models that are both accurate and efficient in pinpointing relevant sentences for queries. While BERT-style bi-encoders excel in efficiency with pre-computed embeddings, they often miss subtle nuances
Externí odkaz:
http://arxiv.org/abs/2406.17262
In this paper, we propose a novel pulse shaping design for single-carrier integrated sensing and communication (ISAC) transmission. Due to the communication information embedded in the ISAC signal, the resulting auto-correlation function (ACF) is det
Externí odkaz:
http://arxiv.org/abs/2405.03597
Large-scale pre-trained Vision-Language Models (VLMs), such as CLIP and ALIGN, have introduced a new paradigm for learning transferable visual representations. Recently, there has been a surge of interest among researchers in developing lightweight f
Externí odkaz:
http://arxiv.org/abs/2309.01256
In this paper, we present an innovative symbol-level precoding (SLP) approach for a wideband multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system employing faster-than-Nyquist (FTN) signaling. Our
Externí odkaz:
http://arxiv.org/abs/2306.14509
Autor:
Liao, Zihan, Liu, Fan
In this paper, we propose a novel symbol-level precoding (SLP) method for a multi-user multi-input multi-output (MU-MIMO) downlink Integrated Sensing and Communications (ISAC) system based on faster-than-Nyquist (FTN) signaling. Our method minimizes
Externí odkaz:
http://arxiv.org/abs/2302.13757
Autor:
Zhang, Hui1,2 (AUTHOR) 1911004@jlnu.edu.cn, Liao, Zihan1 (AUTHOR) lxy1871649349@163.com, Yao, Jinting1 (AUTHOR) 16688444770@163.com, Wang, Tianying1 (AUTHOR) w13756772134@163.com, Xu, Jinghan1 (AUTHOR) jinghan_xu1116@163.com, Yan, Boxiong1 (AUTHOR) chuqingtian163@163.com, Liu, Jiping1 (AUTHOR) liujpjl@163.com
Publikováno v:
Agronomy. Jul2024, Vol. 14 Issue 7, p1554. 18p.
