Zobrazeno 1 - 10
of 3 340
pro vyhledávání: '"ZENG Cheng"'
This letter presents a flexible rate-splitting multiple access (RSMA) framework for near-field (NF) integrated sensing and communications (ISAC). The spatial beams configured to meet the communication rate requirements of NF users are simultaneously
Externí odkaz:
http://arxiv.org/abs/2412.00632
Plane instance segmentation from RGB-D data is a crucial research topic for many downstream tasks. However, most existing deep-learning-based methods utilize only information within the RGB bands, neglecting the important role of the depth band in pl
Externí odkaz:
http://arxiv.org/abs/2410.16545
Inverse materials design has proven successful in accelerating novel material discovery. Many inverse materials design methods use unsupervised learning where a latent space is learned to offer a compact description of materials representations. A la
Externí odkaz:
http://arxiv.org/abs/2409.06740
Medical education relies heavily on Simulated Patients (SPs) to provide a safe environment for students to practice clinical skills, including medical image analysis. However, the high cost of recruiting qualified SPs and the lack of diverse medical
Externí odkaz:
http://arxiv.org/abs/2408.12236
Autor:
Chen, Geng, Li, Chijun, Wang, Xuanhao, Pan, An, Wei, Junjie, Huang, Yuankang, Lu, Siyu, Dai, Yiqi, Meng, Xiangyu, Zeng, Cheng, Xia, Jinsong
Adiabatic mode evolution waveguides (AMEWs) are widely utilized in integrated photonics, including tapered waveguides, edge couplers, mode converters, splitters, etc. An analytical theory and a novel AMEW design algorithm are developed to create shor
Externí odkaz:
http://arxiv.org/abs/2407.04995
Autor:
Liu, Weiwei, Li, Chijun, Wang, Bing, Chai, Tianyan, Zheng, Lingzhi, Liu, Zhuoxiong, Zhang, Haoru, Ren, Shuaifei, Li, Xiaohong, Zeng, Cheng, Xia, Jinsong, Lu, Peixiang
Enlarging bandwidth capacity of the integrated photonic systems demands efficient and broadband light coupling among optical elements, which has been a vital issue in integrated photonics. Here, we have developed a compact ultra-broadband light coupl
Externí odkaz:
http://arxiv.org/abs/2407.03816
Since the emergence of GPT-3, Large Language Models (LLMs) have caught the eyes of researchers, practitioners, and educators in the field of software engineering. However, there has been relatively little investigation regarding the performance of LL
Externí odkaz:
http://arxiv.org/abs/2404.17739
Simulated Patients (SPs) play a crucial role in clinical medical education by providing realistic scenarios for student practice. However, the high cost of training and hiring qualified SPs, along with the heavy workload and potential risks they face
Externí odkaz:
http://arxiv.org/abs/2404.13066
Optimization is widely used in statistics, thanks to its efficiency for delivering point estimates on useful spaces, such as those satisfying low cardinality or combinatorial structure. To quantify uncertainty, Gibbs posterior exponentiates the negat
Externí odkaz:
http://arxiv.org/abs/2403.00968
This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios. Label noise in supervised learning, characterized by erroneous or imprecise labels, significantly im
Externí odkaz:
http://arxiv.org/abs/2312.07271