Výsledky vyhledávání - "He, Chenghao"

Report

HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion

Autor: Su, Junhao, He, Chenghao, Zhu, Feiyu, Xu, Xiaojie, Guan, Dongzhi, Si, Chenyang

Traditional deep learning relies on end-to-end backpropagation for training, but it suffers from drawbacks such as high memory consumption and not aligning with biological neural networks. Recent advancements have introduced locally supervised learni

Externí odkaz: http://arxiv.org/abs/2407.05638

Zobrazit plný text záznamu

Report

Momentum Auxiliary Network for Supervised Local Learning

Autor: Su, Junhao, Cai, Changpeng, Zhu, Feiyu, He, Chenghao, Xu, Xiaojie, Guan, Dongzhi, Si, Chenyang

Deep neural networks conventionally employ end-to-end backpropagation for their training process, which lacks biological credibility and triggers a locking dilemma during network parameter updates, leading to significant GPU memory use. Supervised lo

Externí odkaz: http://arxiv.org/abs/2407.05623

Zobrazit plný text záznamu

Report

Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank

Autor: Zhu, Feiyu, Zhang, Yuming, Cai, Changpeng, He, Chenghao, Guo, Xiuyuan, Li, Jiao, Wang, Peizhe, Su, Junhao, Gao, Jialin

Local learning offers an alternative to traditional end-to-end back-propagation in deep neural networks, significantly reducing GPU memory usage. While local learning has shown promise in image classification tasks, its application to other visual ta

Externí odkaz: http://arxiv.org/abs/2406.00446

Zobrazit plný text záznamu

Report

SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation

Autor: Cai, Changpeng, Guo, Guinan, Li, Jiao, Su, Junhao, Shen, Fei, He, Chenghao, Xiao, Jing, Chen, Yuanxu, Dai, Lei, Zhu, Feiyu

Most earlier researches on talking face generation have focused on the synchronization of lip motion and speech content. However, head pose and facial emotions are equally important characteristics of natural faces. While audio-driven talking face ge

Externí odkaz: http://arxiv.org/abs/2405.07257

Zobrazit plný text záznamu

Akademický článek

Study on phase behavior of compounded system of sodium lauryl gluta-mate and lauramide propyl hydroxysulfobetaine

Autor: Zhang Wanping, An Ran, He Chenghao, Zhang Qianjie, Zhu Guangyong

Publikováno v: Polish Journal of Chemical Technology, Vol 26, Iss 3, Pp 70-75 (2024)

As a green and safe amino acid surfactant, sodium lauryl glutamate (SLG) has been favored by researchers. However, SLG has low solubility and its single system is not conducive to its application. Zwitterionic surfactants can increase its solubility

Externí odkaz: https://doaj.org/article/a32c553bc0e34a79b0101ec6a00e051e