Zobrazeno 1 - 10
of 1 864
pro vyhledávání: '"ZHANG, Yumeng"'
We propose a novel deep learning based method to design a coded waveform for integrated sensing and communication (ISAC) system based on orthogonal frequency-division multiplexing (OFDM). Our ultimate goal is to design a coded waveform, which is capa
Externí odkaz:
http://arxiv.org/abs/2410.10711
Recently, leveraging pre-training techniques to enhance point cloud models has become a hot research topic. However, existing approaches typically require full fine-tuning of pre-trained models to achieve satisfied performance on downstream tasks, ac
Externí odkaz:
http://arxiv.org/abs/2410.08114
Autor:
Zhang, Yumeng, Gong, Shi, Xiong, Kaixin, Ye, Xiaoqing, Tan, Xiao, Wang, Fan, Huang, Jizhou, Wu, Hua, Wang, Haifeng
World models are receiving increasing attention in autonomous driving for their ability to predict potential future scenarios. In this paper, we present BEVWorld, a novel approach that tokenizes multimodal sensor inputs into a unified and compact Bir
Externí odkaz:
http://arxiv.org/abs/2407.05679
Autor:
Yang, Hao, Lu, Hongyuan, Zeng, Xinhua, Liu, Yang, Zhang, Xiang, Yang, Haoran, Zhang, Yumeng, Huang, Shan, Wei, Yiran, Lam, Wai
In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear natural. W
Externí odkaz:
http://arxiv.org/abs/2407.04093
The multi-sector intelligent surface (IS), benefiting from a smarter wave manipulation capability, has been shown to enhance channel gain and offer full-space coverage in communications. However, the benefits of multi-sector IS in wireless sensing re
Externí odkaz:
http://arxiv.org/abs/2406.15945
Beyond diagonal reconfigurable intelligent surface (BD-RIS) is a new advance and generalization of the RIS technique. BD-RIS breaks through the isolation between RIS elements by creatively introducing inter-element connections, thereby enabling smart
Externí odkaz:
http://arxiv.org/abs/2403.18087
Histo-genomic multi-modal methods have recently emerged as a powerful paradigm, demonstrating significant potential for improving cancer prognosis. However, genome sequencing, unlike histopathology imaging, is still not widely accessible in underdeve
Externí odkaz:
http://arxiv.org/abs/2403.10040
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yield superior performance on test sets compared to their counterparts wit
Externí odkaz:
http://arxiv.org/abs/2403.09162
Autor:
Zhu, Wenhong, Hao, Hongkun, He, Zhiwei, Song, Yunze, Zhang, Yumeng, Hu, Hanxu, Wei, Yiran, Wang, Rui, Lu, Hongyuan
We are currently in an era of fierce competition among various large language models (LLMs) continuously pushing the boundaries of benchmark performance. However, genuinely assessing the capabilities of these LLMs has become a challenging and critica
Externí odkaz:
http://arxiv.org/abs/2311.09154
The wireless domain is witnessing a flourishing of integrated systems, e.g. (a) integrated sensing and communications, and (b) simultaneous wireless information and power transfer, due to their potential to use resources (spectrum, power) judiciously
Externí odkaz:
http://arxiv.org/abs/2311.00104