中国科学技术大学学报最新文献_第3页

Multi-path switching protection for networked control systems under unbounded DoS attacks 网络控制系统在无界DoS攻击下的多路径切换保护

Journal of University of Science and Technology of China Pub Date : 2021-05-27 DOI: 10.52396/JUST-2020-1137

Zhu Qiaohui, Liang Qipeng, Kang Yu, Zhao Yunbo

引用次数: 0

A cognitive diagnostic framework for computer science education based on probability graph model 基于概率图模型的计算机科学教育认知诊断框架

Journal of University of Science and Technology of China Pub Date : 2021-05-27 DOI: 10.52396/JUST-2020-0007

Huang Xinying, He Yu, Sun Guangzhong

引用次数: 1

Corporate resistance to pandemic: Evidence from china 企业对流行病的抵抗力:来自中国的证据

Journal of University of Science and Technology of China Pub Date : 2021-04-30 DOI: 10.52396/JUST-2021-0070

L. Tingfang, W. Xiao

引用次数: 0

MOVIE: Mesh oriented video inpainting network 电影:面向网格的视频绘画网络

Journal of University of Science and Technology of China Pub Date : 2021-01-31 DOI: 10.52396/JUST-2020-0022

Liu Sen, Zhan Zhizheng, Yu Tao, Chen Zhibo

引用次数: 0

Effect of personal carbon trading on EV adoption behavior based on a stochastic Petri net 基于随机Petri网的个人碳交易对电动汽车采用行为的影响

Journal of University of Science and Technology of China Pub Date : 2021-01-31 DOI: 10.52396/JUST-2020-0024

He Haonan, Ren Wei, Wang Zuohang, Zhao Chenyong, Wang Shanyong, Ma Fei

引用次数: 1

Subgroup analysis for multi-response regression 多响应回归的亚组分析

Journal of University of Science and Technology of China Pub Date : 2021-01-01 DOI: 10.52396/just-2021-0053

Wu Jie, Z. Jia, Zheng Zemin

引用次数: 0

An end-to-end multitask method with two targets for high-frequency price movement prediction 基于两个目标的端到端多任务高频价格运动预测方法

Journal of University of Science and Technology of China Pub Date : 2021-01-01 DOI: 10.52396/just-2021-0052

Yulian Ma, Wenquan Cui

{"title":"An end-to-end multitask method with two targets for high-frequency price movement prediction","authors":"Yulian Ma, Wenquan Cui","doi":"10.52396/just-2021-0052","DOIUrl":"https://doi.org/10.52396/just-2021-0052","url":null,"abstract":": High-frequency price movement prediction is to predict the direction ( e. g. up , unchanged or down ) of the price change in short time ( e. g. one minute ) . It is challenging to use historical high-frequency transaction data to predict price movement because their relation is noisy , nonlinear and complex. We propose an end-to-end multitask method with two targets to improve high-frequency price movement prediction. Specifically , the proposed method introduces an auxiliary target ( high-frequency rate of price change ), which is highly related with the main target ( high-frequency price movement ) and is useful to improve the high-frequency price movement prediction. Moreover , each task has a feature extractor based on recurrent neural network and convolutional neural network to learn the noisy , nonlinear and complex temporal-spatial relation between the historical transaction data and the two targets. Besides , the shared parts and task-specific parts of each task are separated explicitly to alleviate the potential negative transfer caused by the multitask method. Moreover , a gradient balancing approach is adopted to use the close relation between two targets to filter the temporal-spatial dependency learned from the inconsistent noise and retain the dependency learned from the consistent true information to improve the high-frequency price movement prediction. The experimental results on real-world datasets show that the proposed method manages to utilize the highly related auxiliary target to help the feature extractor of the main task to learn the temporal-spatial dependency with more generalization to improve high-frequency price movement prediction. Moreover , the auxiliary target ( high-frequency rate of the price change ) not only improves the generalization of overall temporal-spatial dependency learned by the whole feature extractor but also improve temporal-spatial dependency learned by the different parts of the feature extractor.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77210629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hyperplane arrangement complement with top degree Betti number being small 上次Betti数小的超平面排列补

Journal of University of Science and Technology of China Pub Date : 2021-01-01 DOI: 10.52396/just-2020-1119

Liang Fenglin

引用次数: 0

An ultra-fast C-NOT gate based on electric dipole coupling between nitrogen-vacancy color centers 基于氮空位色心电偶极子耦合的超高速C-NOT栅

Journal of University of Science and Technology of China Pub Date : 2021-01-01 DOI: 10.52396/just-2020-0039

Shunyang Shi, Wentao Ji, Wang Ya, Jiangfeng Du

引用次数: 0

A literature review of corporate green innovation behavior from the perspective of peer effect and prospect: An integrated theoretical framework 同伴效应与前景视角下的企业绿色创新行为研究综述:一个整合的理论框架

Journal of University of Science and Technology of China Pub Date : 2021-01-01 DOI: 10.52396/just-2021-0048

Wan Liang, Qiaoqiao Zheng, Wenpei Fang, Chengyuan Wang, Shanyong Wang

{"title":"A literature review of corporate green innovation behavior from the perspective of peer effect and prospect: An integrated theoretical framework","authors":"Wan Liang, Qiaoqiao Zheng, Wenpei Fang, Chengyuan Wang, Shanyong Wang","doi":"10.52396/just-2021-0048","DOIUrl":"https://doi.org/10.52396/just-2021-0048","url":null,"abstract":": How to promote the change of the development mode through corporate green innovations , to realize the balance between economic and social development and environmental quality is an urgent and important research topic. In this sense , the empirical test of the corporate green innovation behaviors is not only among the key interests of academics , but also has strong policy implications. Different from the previous research on it , this paper attempts to start from the new research perspective of peer effects , uses the research history of corporate green innovation behaviors as an entry point , systematically sorts out and analyzes the influencing factors , the mechanism and peer evolution that affect the corporate green innovation behavior. On the basis of this , an integrated theoretical framework is established , and some certain reference for the development of relevant research on corporate green innovation behaviors has been provided. This paper aims to broaden the research perspective of corporate green innovation behaviors , enrich and improve corporate green innovation theories and methods. The research results will help reveal the “ black box ” of green innovation activities , and provide government guidance for the diffusion of green innovations.","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84448530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1