Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Dai, Jiahui"'
Autor:
Yang, Shanshan, Huang, Qi, Wang, Yan, Luo, Wentao, Yang, Kaifei, Tan, Ling, Deng, Zhenghua, Dai, Jiahui, Niu, Jinjie, Yu, Faquan
Publikováno v:
In Journal of Alloys and Compounds 15 December 2024 1008
Autor:
Dai, Jiahui, Yang, Yucheng, Yang, Yang, Tang, Long, Tang, Zhengjie, Wang, Lingling, Li, Jun, Yang, Long, Du, Guanben, Gao, Wei
Publikováno v:
In Industrial Crops & Products 1 December 2024 221
Autor:
Yang, Yang, Dai, Jiahui, Cheng, Ruifeng, Jiang, Haiqiu, Wan, Hui, Gao, Qiang, Yang, Long, Du, Guanben, Gao, Wei
Publikováno v:
In Journal of Environmental Chemical Engineering June 2024 12(3)
Autor:
Qiu, Lihong, Ma, Wentao, Feng, Xiaoyang, Dai, Jiahui, Dong, Yuzhuo, Duan, Jiandong, Chen, Badong
Publikováno v:
In Applied Energy 1 April 2024 359
Autor:
Wang, Lingling, Tang, Maojie, Jiang, Haiqiu, Dai, Jiahui, Cheng, Ruifeng, Luo, Bei, Yang, Long, Du, Guanben, Gao, Wei
Publikováno v:
In Journal of Environmental Management February 2024 351
Autor:
Dai, Jiahui, Tang, Wangping, Zhang, Jing, Kang, Xiaoning, Dai, Wenting, Ji, Jianbang, Wang, Shiping
Publikováno v:
In Microchemical Journal January 2024 196
Due to increasing amounts of data and compute resources, deep learning achieves many successes in various domains. The application of deep learning on the mobile and embedded devices is taken more and more attentions, benchmarking and ranking the AI
Externí odkaz:
http://arxiv.org/abs/2005.05085
Autor:
Tang, Fei, Gao, Wanling, Zhan, Jianfeng, Lan, Chuanxin, Wen, Xu, Wang, Lei, Luo, Chunjie, Dai, Jiahui, Cao, Zheng, Xiong, Xingwang, Jiang, Zihan, Hao, Tianshu, Fan, Fanda, Zhang, Fan, Huang, Yunyou, Chen, Jianan, Du, Mengjia, Ren, Rui, Zheng, Chen, Zheng, Daoyi, Tang, Haoning, Zhan, Kunlin, Wang, Biao, Kong, Defei, Yu, Minghe, Tan, Chongkang, Li, Huan, Tian, Xinhui, Li, Yatao, Shao, Junchao, Wang, Zhenyu, Wang, Xiaoyu, Ye, Hainan
Earlier-stage evaluations of a new AI architecture/system need affordable benchmarks. Only using a few AI component benchmarks like MLPerfalone in the other stages may lead to misleading conclusions. Moreover, the learning dynamics are not well under
Externí odkaz:
http://arxiv.org/abs/2004.14690
Autor:
Gao, Wanling, Tang, Fei, Zhan, Jianfeng, Lan, Chuanxin, Luo, Chunjie, Wang, Lei, Dai, Jiahui, Cao, Zheng, Xiong, Xiongwang, Jiang, Zihan, Hao, Tianshu, Fan, Fanda, Wen, Xu, Zhang, Fan, Huang, Yunyou, Chen, Jianan, Du, Mengjia, Ren, Rui, Zheng, Chen, Zheng, Daoyi, Tang, Haoning, Zhan, Kunlin, Wang, Biao, Kong, Defei, Yu, Minghe, Tan, Chongkang, Li, Huan, Tian, Xinhui, Li, Yatao, Lu, Gang, Shao, Junchao, Wang, Zhenyu, Wang, Xiaoyu, Ye, Hainan
Domain-specific software and hardware co-design is encouraging as it is much easier to achieve efficiency for fewer tasks. Agile domain-specific benchmarking speeds up the process as it provides not only relevant design inputs but also relevant metri
Externí odkaz:
http://arxiv.org/abs/2002.07162
Akademický článek
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