Zobrazeno 1 - 10
of 3 212
pro vyhledávání: '"Gu Qing"'
Autor:
Behroozinia Sahar, Gu Qing
Publikováno v:
Nanophotonics, Vol 13, Iss 24, Pp 4505-4517 (2024)
Diffractive Neural Networks (DNNs) leverage the power of light to enhance computational performance in machine learning, offering a pathway to high-speed, low-energy, and large-scale neural information processing. However, most existing DNN architect
Externí odkaz:
https://doaj.org/article/2194deef65464c3b99b028b02d9cda80
Autor:
Li Zhitong, Gu Qing
Publikováno v:
Nanophotonics, Vol 13, Iss 6, Pp 825-839 (2024)
Hyperbolic metamaterial (HMM) is a unique type of anisotropic material that can exhibit metal and dielectric properties at the same time. This unique characteristic results in it having unbounded isofrequency surface contours, leading to exotic pheno
Externí odkaz:
https://doaj.org/article/a82861de9a2a468b8c6545a623e378ed
Publikováno v:
发电技术, Vol 43, Iss 5, Pp 698-706 (2022)
With the increasing proportion of new energy in the total installed capacity, the capacity and scale of battery storage power stations are expanding. The improvement of unit capacity of battery energy storage system (BESS) has important engineering p
Externí odkaz:
https://doaj.org/article/fb97f67c62f14e7dbf252f8eb4c3adf2
Autor:
HE Ruimin, ZHENG Kefeng, WEI Qinyang, ZHANG Xiaobin, ZHANG Jun, ZHU Yihang, ZHAO Yiying, GU Qing
Publikováno v:
智慧农业, Vol 4, Iss 2, Pp 163-173 (2022)
Factory-like rearing of silkworm (Bombyx mori) using artificial diet for all instars is a brand-new rearing mode of silkworm. Accurate feeding is one of the core technologies to save cost and increase efficiency in factory silkworm rearing. Automatic
Externí odkaz:
https://doaj.org/article/f49c2df41ecd46428a266ef0d0759c4f
Publikováno v:
Journal of the Serbian Chemical Society, Vol 87, Iss 12, Pp 1381-1393 (2022)
Lim kinase (Limk), as an important cytoskeletal regulator, plays an important role in cancer manifestations and neuronal diseases. Limk1 is a member of the Limk family, which is mainly involved in the invasion and metastasis of tumor cells and is abn
Externí odkaz:
https://doaj.org/article/d6688330b7a34e658b779c3e4b1c5725
A significant challenge in sound event detection (SED) is the effective utilization of unlabeled data, given the limited availability of labeled data due to high annotation costs. Semi-supervised algorithms rely on labeled data to learn from unlabele
Externí odkaz:
http://arxiv.org/abs/2409.17656
Autor:
Behroozinia, Sahar, Gu, Qing
Diffractive Neural Networks (DNNs) leverage the power of light to enhance computational performance in machine learning, offering a pathway to high-speed, low-energy, and large-scale neural information processing. However, most existing DNN architect
Externí odkaz:
http://arxiv.org/abs/2409.08423
Autor:
Chen, Yihao, Wu, Haochen, Jiang, Nan, Xia, Xiang, Gu, Qing, Hao, Yunqi, Cai, Pengfei, Guan, Yu, Wang, Jialong, Xie, Weilin, Fang, Lei, Fang, Sian, Song, Yan, Guo, Wu, Liu, Lin, Xu, Minqiang
This paper describes the USTC-KXDIGIT system submitted to the ASVspoof5 Challenge for Track 1 (speech deepfake detection) and Track 2 (spoofing-robust automatic speaker verification, SASV). Track 1 showcases a diverse range of technical qualities fro
Externí odkaz:
http://arxiv.org/abs/2409.01695
Autor:
Hu, Zhiyuan, Liu, Yuliang, Zhao, Jinman, Wang, Suyuchen, Wang, Yan, Shen, Wei, Gu, Qing, Luu, Anh Tuan, Ng, See-Kiong, Jiang, Zhiwei, Hooi, Bryan
Large language models (LLMs) face significant challenges in handling long-context tasks because of their limited effective context window size during pretraining, which restricts their ability to generalize over extended sequences. Meanwhile, extendi
Externí odkaz:
http://arxiv.org/abs/2409.00509
Autor:
Cheng, Zifeng, Jiang, Zhiwei, Yin, Yafeng, Chen, Zhaoling, Wang, Cong, Ge, Shiping, Huang, Qiguo, Gu, Qing
Multi-Label Text Classification (MLTC) is a practical yet challenging task that involves assigning multiple non-exclusive labels to each document. Previous studies primarily focus on capturing label correlations to assist label prediction by introduc
Externí odkaz:
http://arxiv.org/abs/2408.03202