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检索条件"机构=Computer Systems Design Laboratory Department of Electrical and Computer Engineering"
7136 条 记 录,以下是1011-1020 订阅
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PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator
PAM-4 optical transmission beyond 224 Gbps based on an ultra...
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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics
作者: Han, Changhao Qin, Jun Yang, Qipeng Zheng, Zhao Shu, Haowen Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Zhou, Yan Ge, Zhangfeng Wang, Lei He, Zhixue Yu, Shaohua Hu, Weiwei Peng, Chao Bowers, John E. Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100192 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China
We experimentally demonstrate PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator in C-band with the combination of the artificial neural network equalizers. © ... 详细信息
来源: 评论
Nonlocal Time-Resolved Terahertz Spectroscopy in the Near Field
Nonlocal Time-Resolved Terahertz Spectroscopy in the Near Fi...
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2022 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2022
作者: Pizzuto, Angela Castro-Camus, Enrique Wilson, William Choi, Wonsik Li, Xiuling Mittleman, Daniel M. Brown University Department of Physics ProvidenceRI02912 United States University of Marburg Department of Physics Marburg Germany Centro de Investigaciones en Optica A. C. Guanajuato Leon37150 Mexico Harvard University Center for Nanoscale Systems CambridgeMA02138 United States University of Illinois at Urbana-Champaign Holonyak Micro and Nanotechnology Laboratory Department of Electrical and Computer Engineering ChampaignIL61820 United States School of Engineering Brown University ProvidenceRI02912 United States University of Texas Department of Electrical and Computer Engineering AustinTX78758 United States
We describe scattering-type near-field terahertz imaging measurements in which the optical excitation spot is laterally displaced from the probed location. We demonstrate both non-local terahertz emission and non-loca... 详细信息
来源: 评论
PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator
PAM-4 optical transmission beyond 224 Gbps based on an ultra...
收藏 引用
2024 Conference on Lasers and Electro-Optics, CLEO 2024
作者: Han, Changhao Qin, Jun Yang, Qipeng Zheng, Zhao Shu, Haowen Zhang, Yunhao Wu, Yichen Sun, Yu Lu, Junde Zhou, Yan Ge, Zhangfeng Wang, Lei He, Zhixue Yu, Shaohua Hu, Weiwei Peng, Chao Bowers, John E. Wang, Xingjun State Key Laboratory of Advanced Optical Communications System and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100192 China Frontiers Science Center for Nano-Optoelectronics Peking University Beijing100871 China Peng Cheng Laboratory Shenzhen518055 China Peking University Yangtze Delta Institute of Optoelectronics Nantong226010 China
We experimentally demonstrate PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator in C-band with the combination of the artificial neural network equalizers. CLEO 20... 详细信息
来源: 评论
SEE-MCAM: Scalable Multi-bit FeFET Content Addressable Memories for Energy Efficient Associative Search
arXiv
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arXiv 2023年
作者: Shou, Shengxi Liu, Che-Kai Yun, Sanggeon Wan, Zishen Ni, Kai Imani, Mohsen Sharon Hu, X. Yang, Jianyi Zhuo, Cheng Yin, Xunzhao College of Information Science and Electronic Engineering Zhejiang University China School of Electrical and Computer Engineering Georgia Institute of Technology United States Department of Information and Computer Science University of California Irvine United States Department of Electrical and Microelectronic Engineering Rochester Institute of Technology United States Department of Computer Science and Engineering University of Notre Dame United States School of Micro-Nano Electronics Zhejiang University China Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province China
Artificial intelligence has made remarkable advancements in recent years, leading to the development of algorithms and models capable of handling ever-increasing amounts of data. The computational demands of these alg... 详细信息
来源: 评论
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
arXiv
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arXiv 2022年
作者: Akgun, Sami Alperen Ghafurian, Moojan Crowley, Mark Dautenhahn, Kerstin The Department of Systems Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The Department of Electrical and Computer Engineering and Systems Design Engineering University of Waterloo WaterlooONN2L 3G1 Canada
Emotions can provide a natural communication modality to complement the existing multi-modal capabilities of social robots, such as text and speech, in many domains. We conducted three online studies with 112, 223 and... 详细信息
来源: 评论
Computation Offloading in Air-Ground Integrated Vehicular Edge Computing Networks
Computation Offloading in Air-Ground Integrated Vehicular Ed...
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IEEE Globecom Workshops
作者: Shichao Li Hongbin Chen Fangqing Tan Ning Zhang Siyu Lin Tony Q. S. Quek School of Information and Communication Guilin University of Electronic Technology Guilin China Department of Electrical and Computer Engineering University of Windsor Windsor ON Canada School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore
The integration of vehicle edge computing (VEC) and air-ground integrated network is considered as a key technology to achieve autonomous driving, where the tasks can be offloaded to the high altitude platform (HAP) t...
来源: 评论
Spear or Shield: Leveraging Generative AI to Tackle Security Threats of Intelligent Network Services
arXiv
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arXiv 2023年
作者: Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Lam, Kwok-Yan Fang, Yuguang Li, Yonghui School of Computer Science and Engineering Nanyang Technological University Singapore School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore National Centre for Research in Digital Trust School of Computer Science and Engineering Nanyang Technological University Singapore Department of Computer Science City University of Hong Kong Hong Kong School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia
Generative AI (GAI) models have been rapidly advancing, with a wide range of applications including intelligent networks and mobile AI-generated content (AIGC) services. Despite their numerous applications and potenti... 详细信息
来源: 评论
Efficient Model Training in Edge Networks with Hierarchical Split Learning
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IEEE Transactions on Mobile Computing 2025年
作者: Zhang, Songge Wu, Wen Song, Lingyang Shen, Xuemin Peking University Shenzhen Graduate School School of Electronic and Computer Engineering Shenzhen518055 China Pengcheng Laboratory Frontier Research Center Shenzhen518055 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Xiangtan University Hunan Institute of Advanced Sensing and Information Technology Xiangtan China University of Waterloo Department of Electrical and Computer Engineering WaterlooN2L 3G1 Canada
In this paper, we propose an efficient model training scheme, named Group-based Hierarchical Split Learning (GHSL), which can accelerate the artificial intelligence (AI) training process in edge networks in a "fi... 详细信息
来源: 评论
Extraordinary Quality Factors in Dual-Band Polarization-Insensitive QuasiBound States in the Continuum
arXiv
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arXiv 2024年
作者: Ghahremani, Maryam Zapata-Rodríguez, Carlos J. Photonics Research Laboratory Center of Excellence on Applied Electromagnetic Systems School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Department of Optics and Optometry and Vision Sciences Faculty of Physics University of Valencia Dr. Moliner 50 Burjassot46100 Spain
In this study, we investigate a novel "dimerized" dielectric metasurface featuring dual-mode resonances governed by symmetry-protected bound states in the continuum (BICs). The metasurface design offers adva... 详细信息
来源: 评论
Mixture of Experts for Network Optimization: A Large Language Model-enabled Approach
arXiv
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arXiv 2024年
作者: Du, Hongyang Liu, Guangyuan Lin, Yijing Niyato, Dusit Kang, Jiawen Xiong, Zehui Kim, Dong In The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of
Optimizing various wireless user tasks poses a significant challenge for networking systems because of the expanding range of user requirements. Despite advancements in Deep Reinforcement Learning (DRL), the need for ... 详细信息
来源: 评论