Zobrazeno 1 - 10
of 75 245
pro vyhledávání: '"ZHANG, JUN"'
Autor:
Yu, Wenyi, Wang, Siyin, Yang, Xiaoyu, Chen, Xianzhao, Tian, Xiaohai, Zhang, Jun, Sun, Guangzhi, Lu, Lu, Wang, Yuxuan, Zhang, Chao
Full-duplex multimodal large language models (LLMs) provide a unified framework for addressing diverse speech understanding and generation tasks, enabling more natural and seamless human-machine conversations. Unlike traditional modularised conversat
Externí odkaz:
http://arxiv.org/abs/2411.18138
The recent development of 3D Gaussian Splatting (3DGS) has led to great interest in 4D dynamic spatial reconstruction from multi-view visual inputs. While existing approaches mainly rely on processing full-length multi-view videos for 4D reconstructi
Externí odkaz:
http://arxiv.org/abs/2411.14847
The high-quality, realistic images generated by generative models pose significant challenges for exposing them.So far, data-driven deep neural networks have been justified as the most efficient forensics tools for the challenges. However, they may b
Externí odkaz:
http://arxiv.org/abs/2411.14755
The breakthroughs of communication distance and data rate have been eagerly anticipated by scientists in the area of underwater wireless optical communication (UWOC), which is seriously limited by the obvious aquatic attenuation in underwater channel
Externí odkaz:
http://arxiv.org/abs/2411.10674
Autor:
Chen, Runteng, Zhang, Jun, Wang, Zelong, Lu, Ke, Peng, Yi, Zhao, Jianfa, Liu, Xiaodong, Feng, Shaomin, Liu, Ruibin, Xiao, Chuan, Jin, Changqing
Publikováno v:
Science Bulletin, 69(24):3812 (2024)
In this work, the long-sought cg-N with N-N single bond has been synthesized for the first time by a thermal-driven-only chemical route at ambient conditions. The successful synthesis of cg-N was achieved by first creating a solution of azides, which
Externí odkaz:
http://arxiv.org/abs/2411.10331
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345
Autor:
Ren, Shu-Liang, Pang, Simin, Guan, Shan, Sun, Yu-Jia, Zhang, Tian-Yu, Jiang, Nai, Guo, Jiaqi, Zheng, Hou-Zhi, Luo, Jun-Wei, Tan, Ping-Heng, Shen, Chao, Zhang, Jun
Broken symmetry plays a pivotal role in determining the macroscopic electrical, optical, magnetic, and topological properties of materials. Circular dichroism (CD) has been widely employed to probe broken symmetry in various systems, from small molec
Externí odkaz:
http://arxiv.org/abs/2411.08667
Exciton Enhanced Giant Correlated Stoke AntiStokes Scattering of Multiorder Phonons in Semiconductor
The correlated Stoke antiStokes (SaS) scattering plays a crucial role in quantum information processing, such as heralded light sources, Fock state dynamics, and write read protocol for quantum memory. However, several reported materials exhibit low
Externí odkaz:
http://arxiv.org/abs/2411.08527
Samaras, a distinct category of fruit, are composed of heavier seeds and lighter wings. Diversity in morphologies and structures subtly contributes to the flight patterns of various seeds, thereby serving as a key factor in the reproductive strategie
Externí odkaz:
http://arxiv.org/abs/2411.08997
Fine-tuning large pre-trained foundation models (FMs) on distributed edge devices presents considerable computational and privacy challenges. Federated fine-tuning (FedFT) mitigates some privacy issues by facilitating collaborative model training wit
Externí odkaz:
http://arxiv.org/abs/2411.07806