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Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection 39

Each Fake News is Fake in its Own Way: An Attribution Multi-...

引用

39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Guo, Hao Ma, Zihan Zeng, Zhi Luo, Minnan Zeng, Weixin Tang, Jiuyang Zhao, Xiang Laboratory for Big Data and Decision Nation University of Defense Technology China School of Computer Science and Technology Xi’an Jiaotong University China Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi’an Jiaotong University China Shaanxi Province Key Laboratory of Big Data Knowledge Engineering Xi’an Jiaotong University China

ISBN: (纸本)157735897X

Social platforms, while facilitating access to information, have also become saturated with a plethora of fake news, resulting in negative consequences. Automatic multimodal fake news detection is a worthwhile pursuit. Existing multimodal fake news datasets only provide binary labels of real or fake. However, real news is alike, while each fake news is fake in its own way. These datasets fail to reflect the mixed nature of various types of multimodal fake news. To bridge the gap, we construct an attributing multi-granularity multimodal fake news detection dataset AMG, revealing the inherent fake pattern. Furthermore, we propose a multi-granularity clue alignment model MGCA to achieve multimodal fake news detection and attribution. Experimental results demonstrate that AMG is a challenging dataset, and its attribution setting opens up new avenues for future research. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

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A Wideband Circularly Polarized Leaky Wave Antenna based on ISGW

A Wideband Circularly Polarized Leaky Wave Antenna based on ...

引用

2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021

作者： Meng, Dechao Shen, Dongya Zhang, Xiupu Yunnan Provincial Engineering Yunnan University Laboratory of Cloud Wireless Access Heterogeneous Networks Kunming650500 China IPhotonics Labs Concordia University Department of Electrical and Computer Engineering MontrealQC Canada

ISBN: (纸本)9781728146706

A novel leaky-wave antenna (LWA) with circular polarization (CP) and broadside radiation based on integrated substrate gap waveguide (ISGW) technology is proposed. A unique periodic structure, i.e. microstrip line with a periodic set of radiating stubs attached and series U-shape slot, is used to scan continuously from backward to forward and thus to form CP. The proposed LWA provides beam scanning from -29 to 12 over the frequency range of 21.5-27.5 GHz. Return loss less than -10 dB, and axial ratio less than 3 dB are achieved in 21 - 27.5 GHz (26.8%), and 21.16 - 26.05 GHz (20.7%), respectively. The average radiation efficiency is 87.8%. © 2021 IEEE.

关键词： Circular polarization

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Extending the Reach of Optical Interconnects with Advanced Coded Modulation

Extending the Reach of Optical Interconnects with Advanced C...

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OptoElectronics and Communications Conference, OECC

作者： Yi Lei Xiang Wang Qi Lu Bin Chen School of Computer Science and Information Engineering Hefei University of Technology Hefei China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University China

An advanced coded modulation is proposed based on improved staircase codes using marked bits and geometrically-shaped constellations. Up to 0.95 dB SNR gain and 8.6% reach increase are achieved for beyond 800G data ce...

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Near-Field Magnetic Induction OAM Communications with OFDM Modulation

Near-Field Magnetic Induction OAM Communications with OFDM M...

引用

IEEE International Conference on Communications (ICC)

作者： Tianyang Zhang Hailin Zhang Maged Elkashlan State Key Laboratory of Integrated Services Networks Xidian University Xi'an China School of Electronic Engineering and Computer Science Queen Mary University of London London U.K

Magnetic induction (MI) communication in nearfield scenarios has gained much attention in recent years. From the perspective of practical applications, nearfield magnetic induction (NFMI) communication limits its application in high rate demanded scenarios. In this paper, we propose the orthogonal frequency division multiplexing (OFDM) modulated orbital angular momentum (OAM)-based NFMI communication, which is called O2N communication, to increase the channel capacity where capacity limitation is a major bottleneck problem in magnetic communication systems. The O2N communication can adaptively optimize power allocation on subcarriers in association with OAM modes, significantly increasing the spectrum utilization of frequency-selective MI systems. Numerical results verify the transmission feasibility and capacity enhancement of O2N communication over multi-input multi-output (MIMO) OFDM-based magnetic communications in the near-field region. Moreover, the impact of misalignment on the O2N communication is also evaluated. High-capacity O2N communication based on the advantages of OAM and OFDM, can effectively support NFMI communication.

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Diff-IFL: Towards General Image Forgery Localization using Diffusion Probabilistic Model

Diff-IFL: Towards General Image Forgery Localization using D...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Ping Xu Jiangqun Ni Jian Zhang Yulin Zhang Shiyuan Tang School of Computer Science and Engineering Sun Yat-sen University Guangzhou China School of Cyber Science and Technology Sun Yat-sen University Shenzhen China Department of New Networks Peng Cheng Laboratory Shenzhen China

ISBN: (数字)9798350390155

ISBN: (纸本)9798350390162

With wide applications of image editing tools, forged images have become a great public concern. Although existing methods for image forgery localization (IFL) could achieve fairly good results on several public datasets, most of them perform unsatisfactorily for cross-dataset evaluation and online social network applications. To tackle this issue, a novel coarse-to-fine framework using Diffusion probabilistic model for Image Forgery Localization (Diff-IFL) is proposed in this paper, which consists of a coarse localization module and a mask diffusion module. The coarse localization module employs a transformer-based architecture to represent the tampered images and generate coarse masks. While the mask diffusion module formulates IFL as a mask reconstruction task, it relies on the extracted forgery feature representations as the conditional prior to gradually recover the clean ground-truth mask from the noisy mask. Extensive experiments demonstrate that Diff-IFL outperforms other SOTA methods and exhibits superior robustness against social media forgery.

关键词： Location awareness Training Social networking (online) Diffusion models Feature extraction Transformers Forgery

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Downlink Transmit-End Beam Refinement for mmWave Communications Under Mobility

Downlink Transmit-End Beam Refinement for mmWave Communicati...

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2023 International Conference on Electrical engineering and Photonics, EExPolytech 2023

作者： Fokin, Grigoriy Grishin, Ilya Okuneva, Darina The Bonch-Bruevich Saint Petersburg State University of Telecommunications Laboratory of Software Defined Radio Saint Petersburg Russia The Bonch-Bruevich Saint Petersburg State University of Telecommunications Department of Communication Networks and Data Transmission Saint Petersburg Russia The Bonch-Bruevich Saint Petersburg State University of Telecommunications Department of Software Engineering and Computer Facilities Saint Petersburg Russia

ISBN: (纸本)9798350310481

This article discusses a method for adjusting the radiation pattern of a base station antenna array when conducting radio communications in the millimeter wavelength range for mobile user devices. The article describes a technique for selecting a training sequence of beams that minimizes the Cramer-Rao lower bound when estimating the transmission direction. The proposed technique makes it possible to reduce the beam adjustment time for transmission by 16 times compared to the conventional protocol, which improves the quality of service for highly mobile users. © 2023 IEEE.

关键词： Beamforming

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Microcomb based silicon photonics data link with 100Gbps/Lane PAM4 transmission

Microcomb based silicon photonics data link with 100Gbps/Lan...

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CLEO: Science and Innovations, S and I 2022

作者： Shu, Haowen Shen, Bitao Chang, Lin Tao, Yuansheng Xie, Weiqiang Jin, Ming Netherton, Andrew Zhang, Xuguang Qin, Jun Chen, Ruixuan Yu, Shaohua Wang, Xingjun Bowers, John E. State Key Laboratory of Advanced Optical Communications System and Networks Peking University Beijing100871 China Department of Electrical and Computer Engineering University of California Santa BarbaraCA93106 United States Peng Cheng Laboratory Shenzhen518055 China Frontiers Science Center for Nano-optoelectronics Peking University Beijing100871 China

We achieve 100 Gbps/Lane PAM4 transmission by employing an AlGaAsOI microcomb source and silicon modulators. With 20 parallel wavelength channels utilized at C-band, an aggregate data rate of 2 Tbit/s is achieved. ... 详细信息

ISBN: (纸本)9781557528209

关键词： Gallium compounds

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Non-Uniform 3D Massive MIMO Arrays Topology Optimization for Near-Field Communications

Non-Uniform 3D Massive MIMO Arrays Topology Optimization for...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Yunhui Guo Yang Zhang Lihua Pang Yuanwei Liu Zhiguo Ding State Key Laboratory of Integrated Service Networks Xidian University Xi’an China School of Electronic Engineering and Computer Science Queen Mary University of London London U.K School of Information Engineering Xian University of Science and Technology Xian China Department of Computer and Communication Engineering 6G Center Khalifa University Abu Dhabi UAE

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

In this paper, the design of non-uniform antenna topology for 3D massive MIMO arrays in near-field communications is investigated. Specifically, the near-field spherical wavefront radiation characteristics are considered to accurately model the variations of signal phase across array elements. Subsequently, the closed-form expressions of the per-user signal-to-interference noise ratio (SINR) and achievable sum rate for a multi-user MIMO system with maximum-ratio transmission (MRT) precoding are derived. The focus is on the maximization of the achievable sum rate by optimizing the non-uniform 3D antenna array topology. Since the optimization problem exhibits highly nonlinear and nonconvex characteristics, an enhanced particle swarm optimization (EPSO) algorithm is proposed to effectively solve it. Numerical results demonstrate the superiority of the proposed non-uniform 3D array topology in near-field communications for enhancing the achievable sum rate.

关键词： Three-dimensional displays Simulation Precoding Massive MIMO Interference Mobile antennas Topology Optimization Antenna arrays Signal to noise ratio

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Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao Lower Bound optimization

Intelligent Reflecting Surface Enabled Sensing: Cramér-Rao ...

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2022 IEEE GLOBECOM Workshops, GC Wkshps 2022

作者： Song, Xianxin Xu, Jie Liu, Fan Han, Tony Xiao Eldar, Yonina C. School of Science and Engineering Future Network of Intelligence Institute Guangdong Provincial Key Laboratory of Future Networks of Intelligence China Southern University of Science and Technology Department of Electrical and Electronic Engineering China Wireless Technology Lab 2012 Laboratories Huawei China Weizmann Institute of Science Faculty of Mathematics and Computer Science Israel

ISBN: (纸本)9781665459754

This paper investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS) wireless sensing, in which an IRS is deployed to assist an access point (AP) to sense a target in its NLoS region. It is assumed that the AP is equipped with multiple antennas and the IRS is equipped with a uniform linear array. The AP aims to estimate the target's direction-of-arrival (DoA) with respect to the IRS, based on the echo signals from the AP-IRS-target-IRS-AP link. Under this setup, we jointly design the transmit beamforming at the AP and the reflective beamforming at the IRS to minimize the CramérRao lower bound (CRLB) on estimation error. Towards this end, we first obtain the CRLB expression for estimating the DoA in closed form. Next, we optimize the joint beamforming design to minimize the CRLB, via alternating optimization, semi-definite relaxation, and successive convex approximation. Numerical results show that the proposed design based on CRLB minimization achieves improved sensing performance in terms of mean squared error, as compared to the traditional schemes with signal-to-noise ratio maximization and separate beamforming. © 2022 IEEE.

关键词： Beamforming

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Domain adaptation for large-vocabulary object detectors 24

Domain adaptation for large-vocabulary object detectors

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Kai Jiang Jiaxing Huang Weiying Xie Jie Lei Yunsong Li Ling Shao Shijian Lu State Key Laboratory of Integrated Services Networks Xidian University Xi'an China S-lab School of Computer Science and Engineering Nanyang Technological University School of Electrical and Data Engineering at the University of Technology Sydney UCAS-Terminus AI Lab University of Chinese Academy of Sciences China

ISBN: (纸本)9798331314385

Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data. However, LVDs often struggle in recognizing the located objects due to domain discrepancy in data distribution and object vocabulary. At the other end, recent vision-language foundation models such as CLIP demonstrate superior open-vocabulary recognition capability. This paper presents KGD, a Knowledge Graph Distillation technique that exploits the implicit knowledge graphs (KG) in CLIP for effectively adapting LVDs to various downstream domains. KGD consists of two consecutive stages: 1) KG extraction that employs CLIP to encode downstream domain data as nodes and their feature distances as edges, constructing KG that inherits the rich semantic relations in CLIP explicitly; and 2) KG encapsulation that transfers the extracted KG into LVDs to enable accurate cross-domain object classification. In addition, KGD can extract both visual and textual KG independently, providing complementary vision and language knowledge for object localization and object classification in detection tasks over various downstream domains. Experiments over multiple widely adopted detection benchmarks show that KGD outperforms the state-of-the-art consistently by large margins.

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