院系详细页面

[外文期刊] Making Serverless Not So Cold in Edge Clouds: A Cost-Effective Online Approach EI

作者： Xiao, Ke¹; Yang, Song¹; Li, Fan¹; Zhu, Liehuang²; Chen, Xu³; Fu, Xiaoming⁴ （¹School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;²School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;³School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China;⁴Institute of Computer Science, University of Göttingen, Germany）

出处： IEEE Transactions on Mobile Computing 2024 P1-14

[外文期刊] Multi-Round Efficient and Secure Truth Discovery in Mobile Crowdsensing Systems EI

作者： Hu, Chenfei¹; Li, Zihan¹; Xu, Yuhua²; Zhang, Chuan¹; Liu, Ximeng³; He, Daojing⁴; Zhu, Liehuang¹ （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;²School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;³College of Computer and Data Science, School of Information Systems, Singapore Management University, Fuzhou University, and Fujian Provincial Key Laboratory of Information Security of Network Systems, Fuzhou, China;⁴School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China）

出处： IEEE Internet of Things Journal 2024 P1-1

[外文期刊] Secure Decentralized Aggregation to Prevent Membership Privacy Leakage in Edge-based Federated Learning EI

作者： Shen, Meng¹; Wang, Jing¹; Zhang, Jie²; Zhao, Qinglin³; Peng, Bohan¹; Wu, Tong¹; Zhu, Liehuang¹; Xu, Ke⁴ （¹School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China;²School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China;³School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China;⁴Department of Computer Science, Tsinghua University, Beijing, China）

出处： IEEE Transactions on Network Science and Engineering 2024 P1-14

[外文期刊] Collaborative Perception Method Based on Multisensor Fusion EI

作者： Wang, Binglu^{1, 2}; Jin, Yang¹; Zhang, Lei³; Zheng, Le²; Zhou, Tianfei⁴ （¹College of Information and Control Engineering, Xian University of Architecture and Technology, Xian; 710399, China;²School of Information and Electronics, Beijing Institute of Technology, Beijing; 100081, China;³School of Automation, Northwestern Polytechnical University, Xian; 710129, China;⁴School of Computer Science & Technology, Beijing Institute of Technology, Beijing; 100081, China）

出处： Journal of Radars 2024 Vol.13 No.1 P87-96

[外文期刊] Exploring the Synergies of Hybrid CNNs and ViTs Architectures for Computer Vision: A survey EI

作者： Yunusa, Haruna¹; Qin, Shiyin¹; Chukkol, Abdulrahman Hamman Adama²; Yusuf, Abdulganiyu Abdu³; Bello, Isah⁴; Lawan, Adamu⁵ （¹School of Automation Science and Electrical Engineering, Beihang University, Beijing, China;²School of Information and Electronics, Beijing Institute of Technology, China;³School of Computer Science, Beijing Institute of Technology, China;⁴School of Electrical and Information Engineering, Tianjin University, Tianjin, China;⁵School of Computer Science and Technology, Beihang University, Beijing, China）

出处： arXiv 2024

[外文期刊] Order sequencing for a bucket brigade seru in a mass customization environment EI

作者： Li, Dongni^{1, 2}; Lyu, Yao¹; Zhang, Jinhui³; Cui, Zihua⁴; Yin, Yong⁵ （¹School of Computer Science, Beijing Institute of Technology, Beijing, China;²Southeast Academy of Information Technology, Beijing Institute of Technology, Putian, China;³School of Automation, Beijing Institute of Technology, Beijing, China;⁴Guangdong Shenling Environmental Systems Co., Ltd., Foshan, China;⁵Graduate School of Business, Doshisha University, Kyoto, Japan）

出处： International Journal of Production Economics 2024

[中文期刊] 基于多传感器融合的协同感知方法核

作者：王秉路^1,2;，靳杨¹;，张磊³;，郑乐²;，周天飞⁴; （¹西安建筑科技大学信息与控制工程学院；²北京理工大学信息与电子学院；³西北工业大学自动化学院；⁴北京理工大学计算机学院）

出处：雷达学报 2024 第13卷第1期 P87-96

关键词：自动驾驶；协同感知；3D目标检测；多模态融合；智能交通系统

摘要：该文提出了一种新的多模态协同感知框架，通过融合激光雷达和相机传感器的输入来增强自动驾驶感知系统的性能。首先，构建了一个多模态融合的基线系统，能有效地整合来自激光雷达和相机传感器的数据，为后续研究提供了可比较的基准。其次，在多车协同环境下，探索了多种流行的特征融合策略，包括通道级拼接、元素级求和，以及 ...

[中文期刊] 空间资产风险评估与控制研究核

作者：张东江，高智杰，杨志涛，张馨文，蓝鼎（北京理工大学人文与社会科学学院；北京理工大学国家安全与发展研究院；中国科学院国家天文台；北京理工大学计算机学院；中国科学院力学研究所）

出处：中国工程科学 2024 第1期

关键词：空间资产；风险评估；价值模型；风险控制；风险分级

摘要：空间资产是国家的重要战略资产，有效控制其所面临的各类风险将有助于推动空间资产效益最大化，提高对国家安全与发展的贡献率，推动航天强国建设。本文首先讨论了空间资产的定义与内涵，认为从狭义来讲空间资产主要包含我国所有的在轨航天器，广义来讲还包括与其相关的一些关联资产和无形资产。其次，从多个维度梳理了空间资 ...

[中文期刊] 基于多传感器融合的协同感知方法

作者：王秉路^1,2;靳杨¹;张磊³;郑乐²;周天飞⁴ （¹西安建筑科技大学信息与控制工程学院, 西安, 710399;²北京理工大学信息与电子学院, 北京, 100081;³西北工业大学自动化学院, 西安, 710129;⁴北京理工大学计算机学院, 北京, 100081）

出处：雷达学报 2024 第13卷第1期 P87-96

关键词：自动驾驶；协同感知；3D目标检测；多模态融合；智能交通系统

摘要：该文提出了一种新的多模态协同感知框架,通过融合激光雷达和相机传感器的输入来增强自动驾驶感知系统的性能。首先,构建了一个多模态融合的基线系统,能有效地整合来自激光雷达和相机传感器的数据,为后续研究提供了可比较的基准。其次,在多车协同环境下,探索了多种流行的特征融合策略,包括通道级拼接、元素级求和,以及 ...

[外文期刊] Decentralized Threshold Signatures With Dynamically Private Accountability

作者： Meng Li¹;Hanni Ding¹;Qing Wang¹;Mingwei Zhang¹;Weizhi Meng²;Liehuang Zhu³;Zijian Zhang^3,4;Xiaodong Lin⁵; （¹Key Laboratory of Knowledge Engineering With Big Data, Ministry of Education, the School of Computer Science and Information Engineering, the Anhui Province Key Laboratory of Industry Safety and Emergency Technology, and the Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China ²Department of Applied Mathematics and Computer Science, Cyber Security Section, Technical University of Denmark (DTU), Kongens Lyngby, Denmark ³School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, China ⁴Southeast Institute of Information Technology, Beijing Institute of Technology, Fujian, Putian, China ⁵School of Computer Science, University of Guelph, Guelph, ON, Canada）

出处： IEEE Transactions on Information Forensics and Security 2024 Vol.19 P2217-2230

关键词： Privacy;Security;Public key;Encryption;Companies;Computer science;Probabilistic logic

摘要： Threshold signature is a fundamental cryptographic primitive used in many practical applications. As proposed by Boneh and Komlo (CRYPTO’22), TAPS is ...