Zobrazeno 1 - 10
of 19 333
pro vyhledávání: '"Junming An"'
Autor:
Lijie Liu, Junming An, Yuanda Wu, Yongguang Huang, Ruikang Zhang, Baojun Wang, Kunkun Chu, Xiaoguang Zhang
Publikováno v:
AIP Advances, Vol 13, Iss 10, Pp 105004-105004-6 (2023)
InP, which exhibits attractive physical characteristics, such as high electron mobility, high conductivity, and high bandgap width, has always been fanatically pursued in high frequency and high speed devices in recent years. However, the inherent hi
Externí odkaz:
https://doaj.org/article/33b960d49eef43de99b590a27f73d02c
Autor:
Dan Wu, Shaokang Chen, Pengwei Cui, Junchi Ma, Wei Chen, Jiashun Zhang, Yue Wang, Jianguang Li, Junming An
Publikováno v:
IEEE Photonics Journal, Vol 15, Iss 6, Pp 1-8 (2023)
Quantum Key Distribution (QKD) is gaining significant interest due to its theoretical guarantee of unconditional security. Integrated optics offers distinct advantages compared to bulk optics, including high stability, flexibility, controllability, a
Externí odkaz:
https://doaj.org/article/181eb3d4490a4b61a51f9f77a9ee6b23
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 6, Pp 1-6 (2022)
A 16-channel photodetector array receiving module with good performance as low loss, fine tuning and high reliability is manufactured in our laboratory. The whole module was consisted with a silica arrayed waveguide grating chip (AWG), a thermo-optic
Externí odkaz:
https://doaj.org/article/5f4ed1551870465da3f3b3bf20b88d86
Autor:
Qiao, Yuxuan, Duan, Haodong, Fang, Xinyu, Yang, Junming, Chen, Lin, Zhang, Songyang, Wang, Jiaqi, Lin, Dahua, Chen, Kai
Vision Language Models (VLMs) demonstrate remarkable proficiency in addressing a wide array of visual questions, which requires strong perception and reasoning faculties. Assessing these two competencies independently is crucial for model refinement,
Externí odkaz:
http://arxiv.org/abs/2406.14544
Autor:
Zhang, Junming
We prove the representation given by a stable $\alpha_1$-cyclic parabolic $\mathrm{SO}_0(2,3)$-Higgs bundle through the non-Abelian Hodge correspondence is $\{\alpha_2\}$-almost dominated. This is a generalization of Filip's result on weight $3$ vari
Externí odkaz:
http://arxiv.org/abs/2406.08118
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
Autor:
Hei, Zijian, Liu, Weiling, Ou, Wenjie, Qiao, Juyi, Jiao, Junming, Song, Guowen, Tian, Ting, Lin, Yi
Retrieval-Augmented Generation (RAG) has recently demonstrated the performance of Large Language Models (LLMs) in the knowledge-intensive tasks such as Question-Answering (QA). RAG expands the query context by incorporating external knowledge bases t
Externí odkaz:
http://arxiv.org/abs/2406.07348
Estimating the marginally adjusted dose-response curve for continuous treatments is a longstanding statistical challenge critical across multiple fields. In the context of parametric models, mis-specification may result in substantial bias, hindering
Externí odkaz:
http://arxiv.org/abs/2406.05607
Autor:
Ren, Junming, Xiao, Zhoujian, Zhang, Yujia, Yang, Yujie, He, Ling, Yoon, Ezra, Bello, Stephen Temitayo, Chen, Xi, Wu, Dapeng, Tortorella, Micky, He, Jufang
In the preclinical translational studies, drug candidates with remarkable anti-epileptic efficacy demonstrate long-term suppression of spontaneous recurrent seizures (SRSs), particularly convulsive seizures (CSs), in mouse models of chronic epilepsy.
Externí odkaz:
http://arxiv.org/abs/2405.20614
Underwater image enhancement (UIE) presents a significant challenge within computer vision research. Despite the development of numerous UIE algorithms, a thorough and systematic review is still absent. To foster future advancements, we provide a det
Externí odkaz:
http://arxiv.org/abs/2405.19684
Autor:
Sun, Zekai, Guan, Xiuxian, Wang, Junming, Song, Haoze, Qing, Yuhao, Shen, Tianxiang, Huang, Dong, Liu, Fangming, Cui, Heming
The rapid advancements in machine learning techniques have led to significant achievements in various real-world robotic tasks. These tasks heavily rely on fast and energy-efficient inference of deep neural network (DNN) models when deployed on robot
Externí odkaz:
http://arxiv.org/abs/2405.19257