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arXiv 2023年

作者： Chen, Xiang Li, Zheng Wan, Xiaojun Wangxuan Institute of Computer Technology Peking University China Center for Data Science Peking University China The MOE Key Laboratory of Computational Linguistics Peking University China Schools of Electronic Engineering and Computer Science Peking University China

Text editing, i.e., the process of modifying or manipulating text, is a crucial step in human writing process. In this paper, we study the problem of controlled text editing by natural language instruction. According to a given instruction that conveys the edit intention and necessary information, an original draft text is required to be revised into a target text. Existing automatically constructed datasets for this task are limited because they do not have informative natural language instruction. The informativeness requires the information contained in the instruction to be enough to produce the revised text. To address this limitation, we build and release WikiIns, a high-quality controlled text editing dataset with improved informativeness. We first preprocess the Wikipedia edit history database to extract the raw data (WikiIns-Raw). Then we crowdsource high-quality validation and test sets, as well as a small-scale training set (WikiIns-Gold). With the high-quality annotated dataset, we further propose automatic approaches to generate a large-scale "silver" training set (WikiIns-Silver). Finally, we provide some insightful analysis on our WikiIns dataset, including the evaluation results and the edit intention analysis. Our analysis and the experiment results on WikiIns may assist the ongoing research on text editing. The dataset, source code and annotation guideline are available at https: //***/CasparSwift/WikiIns. Copyright © 2023, The Authors. All rights reserved.

关键词： Silver

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An Improved Hybrid Switching Scheme for UAV-to-Ground ACM FSO System

An Improved Hybrid Switching Scheme for UAV-to-Ground ACM FS...

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Asia Communications and Photonics Conference and Exhibition (ACP)

作者： Qianwu Zhang Boyang Liu Guanwen Chen Shucheng Zhan Zhiyu Li Jing Zhang Ning Jiang Bingyao Cao Zhengxuan Li Key Laboratory of Specialty Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

An improved hybrid switching scheme is proposed for UAV-to-Ground ACM FSO system. Simulation results show SNR switching threshold deviation is reduced by 3.65 dB in strong turbulence.

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A Tutorial on Movable Antennas for Wireless Networks

arXiv

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arXiv 2025年

作者： Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Chengdu611731 China National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electronic and Information Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of CNS/ATM MIIT Key Laboratory of Complex-field Intelligent Sensing Beijing Institute of Technology Beijing100081 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed. We also highlight promising research directions in this area to inspire future investigatio

关键词： Antenna arrays

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A Triangular Stable Node Network based on Self-supervised Learning for personalized prediction

A Triangular Stable Node Network based on Self-supervised Le...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Liu, Qing Gao, Qian Fan, Jun Zhang, Zhiqiang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Qilu University of Technology Shandong Academy of Sciences Jinan250014 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology Shandong Academy of Sciences Jinan250353 China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan250014 China China Telecom Digital Intelligence Techonology Co Ltd. No.1999 Shunhua road Shandong Jinan250101 China

ISBN: (纸本)9798350368741

In recent years, research has illuminated the potency of implicit data processing in enhancing user preferences. Nevertheless, barriers remain in breaking through the constraints of implicit information. This study aims to bridge this gap by firstly constructing a triangular stable node network model, tailored to manage implicit information with precision. Recognizing the challenge of pinpointing novel structures within large-scale graphs, we propose SLTSNN-a triangular stable node network based on self-supervised learning for personalized prediction. SLTSNN innovates by maximizing mutual information between graph-level and patch-level representations, while augmenting graph representations through extended enhanced representations. Additionally, it incorporates triangular data associations and introduces a triangular allocation attention network, which emphasizes strongly correlated preference features among similar users. Furthermore, SLTSNN employs contrastive learning to maximize mutual information between graph vectors and hidden representations, distinguishing between high-order global and local representations. The model's effectiveness in enhancing user preferences and capturing new graph structures is evidenced by its performance on hit rate and normalized discounted cumulative gain metrics across three datasets. © 2025 IEEE.

关键词： graph contrastive learning graph neural networks recommender systems self-supervised learning

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A Method of Constructing and Automatically Labeling Radio Frequency Signal Training dataset for UAV

A Method of Constructing and Automatically Labeling Radio Fr...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Chao Liu Ruipeng Ma Zheng Si Mingmin Chi School of Computer Science Shanghai Key Laboratory of Data Science Fudan University Zhengzhou Zhongke Institute of Integrated Circuit and System Application School of Cyber Science and Engineering Zhengzhou University Henan Institute of Advanced Technology Zhengzhou University

The problem of signal detection and classification of multiple UAVs can be solved using object detection techniques in computer vision. However, this requires collecting and labeling a large amount of reliable raw data. Since the UAV signal dataset cannot be directly applied to object detection, we propose a method using time-frequency domain filtering and automatic labeling to construct a large-scale time-frequency spectrogram dataset. Experimental results show that the average recognition accuracies of image transmission signals and remote control signals under interference conditions are 97% and 82%, respectively, while the average errors of signal parameters are 0.93% and 5.57%.

关键词： Training Time-frequency analysis Object detection Manuals Labeling Reliability Speech processing

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Study on Harmonic Elimination after LED Lamp Combination

Study on Harmonic Elimination after LED Lamp Combination

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第34届中国控制与决策会议

作者： Xu Jiechuan Ma Hongyan Dou Jiaming Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture National Virtual Simulation Experimental Center for Smart City Education

As LED(Light Emitting Diode) is widely used in distribution grids,the power quality problems caused by their harmonics injected into the grid are becoming more and more prominent,so it is necessary to study the harmonic emission characteristics of new energy-saving ***,it is very important to study the harmonic emission characteristics of new energy-saving ***,three kinds of LED simulation driver circuits are built in this paper,and the simulation results show that the harmonic emission characteristics of different driver circuits exist ***,the harmonic can be effectively reduced by the combination of three LED simulation driver ***,the experimental combination test of energy-saving lamps are carried *** results reveal that different combinations of lamps show different harmonic attenuation levels,and the harmonic currents in lighting system can be attenuated by combining specific types of lamps,thus reducing the fire *** harmonic control method has application value in engineering design.

关键词： LED Driver circuit Harmonic emission characteristics Lighting system

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DGA-Net: Dynamic gaussian attention network for sentence semantic matching

arXiv

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arXiv 2021年

作者： Zhang, Kun Lv, Guangyi Wang, Meng Chen, Enhong Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China School of Computer Science and Technology University of Science and Technology of China China

Sentence semantic matching requires an agent to determine the semantic relation between two sentences, where much recent progress has been made by advancement of representation learning techniques and inspiration of human behaviors. Among all these methods, attention mechanism plays an essential role by selecting important parts effectively. However, current attention methods either focus on all the important parts in a static way or only select one important part at one attention step dynamically, which leaves a large space for further improvement. To this end, in this paper, we design a novel Dynamic Gaussian Attention Network (DGA-Net) to combine the advantages of current static and dynamic attention methods. More specifically, we first leverage pre-trained language model to encode the input sentences and construct semantic representations from a global perspective. Then, we develop a Dynamic Gaussian Attention (DGA) to dynamically capture the important parts and corresponding local contexts from a detailed perspective. Finally, we combine the global information and detailed local information together to decide the semantic relation of sentences comprehensively and precisely. Extensive experiments on two popular sentence semantic matching tasks demonstrate that our proposed DGA-Net is effective in improving the ability of attention mechanism. © 2021, CC BY.

关键词： Gaussian distribution

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An Autoencoder-based Transceiver for UAV-to-Ground Free Space Optical Communication

An Autoencoder-based Transceiver for UAV-to-Ground Free Spac...

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OptoElectronics and Communications Conference, OECC

作者： Qianwu Zhang Guanwen Chen Boyang Liu Xuzhuang Zhi Shucheng Zhan Jing Zhang Ning Jiang Bingyao Cao Zhengxuan Li Key Laboratory of Specialty Optics and Optical Access Networks Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan China

An end-to-end autoencoder-based transceiver for UAV-to-ground free space optical communication is proposed. Simulation results show $\sim 12 \mathrm{~dB}$ improvement compared to the PPM transmitter and $\sim 51.3 \%$...

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Single-photon spin-orbit entangled states in optical fibers 26

Single-photon spin-orbit entangled states in optical fibers

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26th Optoelectronics and Communications Conference, OECC 2021

作者： Yang, Li Yang, Ziyi Xu, Huaxing Department of Electronic Engineering and Information Science University of Science and Technology of China Anhui Hefei230027 China Key Laboratory of Electromagnetic Space Information Chinese Academy of Sciences Anhui Hefei230027 China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information Technology Beijing100041 China

Even and odd vector modes in optical fibers are represented with linear combinations of orbital angular momentum modes, and considered as single-photon spin-orbit entangled states. It renders generating such states wi... 详细信息

ISBN: (纸本)9781557528209

关键词： Photons

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Joint Subcarrier and Power Allocation in D2D Communications Underlaying Cellular Networks

Joint Subcarrier and Power Allocation in D2D Communications ...

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IEEE Conference on Wireless Communications and Networking

作者： Caihong Kai Yan Wu Xinyue Hu Wei Huang Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei China

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

For the high density of users and accompanying network service requirements in the cellular system, Device-to-Device (D2D) communication is a promising technology to cope with the increasing wireless traffic demands by reusing spectrum resources. In practice, the wireless signal is easy to be eavesdropped in D2D communications underlaying cellular networks, hence, ensuring a secure communication for cellular user equipments (CUEs) is an urgent and meaningful problem. In this paper, we propose a joint subcarrier and power allocation scheme for maximizing the sum data rate of D2D pairs, meanwhile protecting the CUEs against eavesdropping. Specifically, in the proposed scheme, we first quantify the security performance with the secrecy data rate, and obtain the closed-form expression for the optimal power allocation of CUEs and D2D pairs by tightening the quality of service (QoS) and secrecy rate requirement constraints of CUEs. Based on the obtained power allocation solution, by searching the optimal mapping relationship between CUEs and D2D pairs, we develop a subcarrier assignment strategy with the Hungarian algorithm to solve it, which can further enhance the sum data rate of D2D pairs. Simulation results demonstrate that the proposed scheme can significantly yield better performance than other schemes.

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