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40th IEEE International Conference on Data Engineering, ICDE 2024

作者： Shao, Xinyue Wang, Hongzhi Chen, Xiang Zhu, Xiao Zhang, Yan School of Computer Science Harbin Institute of Technology Harbin China King Abdullah University of Science and Technology Thuwal Saudi Arabia

ISBN: (纸本)9798350317152

With the explosion of artificial intelligence in various fields, providing causal explanations for predictive models becomes urgent. In this study, we investigate causal counterfactual explanation generation and propose CUBE, a causal intervention-based counterfactual explanation method. This work models the counterfactual generation process as a causal intervention model for the first time and employs a causal director to integrate causal relationships. Furthermore, this work proposes a model-based framework to improve counterfactual generation efficiency. The experimental results validate that CUBE outperforms baselines in terms of both lower time costs and higher explanation quality. © 2024 IEEE.

关键词： Geometry

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Lithography-free polarization-dependent absorber based on α-MoO_(3)

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science China(Technological sciences) 2024年第7期67卷 2147-2152页

作者： HU Yang WU XiaoHu LI HongJu ZHAO Yi LIU HaoTuo HUANG XiuQuan School of Power and Energy Northwestern Polytechnical UniversityXi’an 710072China Shandong Institute of Advanced Technology Jinan 250100China School of Physics Hefei University of TechnologyHefei 230009China Department of Academic Affairs Harbin Institute of Technology(Shenzhen)Shenzhen 518055China Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of EducationHarbin University of Science and TechnologyHarbin 150080China

As a natural biaxial hyperbolic material, α-phase molybdenum trioxide(α-MoO_(3)) exhibits dielectric and metallic properties in the plane, rendering it an exceptional candidate for polarization-dependent devices. In this work, we design a lithography-free polarization-dependent absorber consisting of an α-MoO_(3)film, a germanium layer, and a silver substrate. The results show that a narrowband absorption of up to 0.99 is achieved at a wavelength of 12.2 μm for transverse magnetic polarization. In contrast, the absorption is only 0.06 at this wavelength for transverse electric polarization. This remarkable polarization-dependent absorption performance is attributed to the coupling of epsilon-near-zero modes and Fabry-Perot resonances, which is confirmed by the electric field and power dissipation density distributions. Furthermore, strong polarization-dependent performance could also be achieved when the crystal axis of α-MoO_(3)is rotated in the out-of-plane. This work demonstrates that in-plane anisotropic α-MoO_(3)has the potential for designing high polarization-dependent devices.

关键词： α-MoO_(3) polarization-dependent epsilon-near-zero modes Fabry-Perot resonances

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InfoMin-based Query Embedding Optimization For Query-based Universal Sound Separation

InfoMin-based Query Embedding Optimization For Query-based U...

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

作者： Wang, Zhen Han, Jiqing Zhang, Liwen Zhang, Youcheng School of Computer Science and Technology Harbin Institute of Technology Harbin China Intelligent Science and Technology Academy of CASIC Beijing China

ISBN: (纸本)9798350368741

The query-based universal sound separation (QUSS) has been addressed, aiming to perform the separation of specific sound sources based on a given query. Most of existed methods focus on the improvement of separation models, ignoring the influence of category-conditioned query embedding distribution on separation performance. To address this issue, we propose an optimization method for query embedding that reduces mutual information (MI) between query embeddings while keeping task-related information intact, named the InfoMin principle. In addition, we propose the Frequency-varying Feature-wise Linear Modulation (FFiLM), which leverages frequency band differences in acoustic events to enhance the modulation capability of query embedding and improve the performance of the separation model. Experimental results show that our method achieves considerable improvements over the existing SoTA method. © 2025 IEEE.

关键词： contrastive learning query-based universal sound separation source separation

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Cooperative output regulation of heterogeneous directed multi-agent systems:a fully distributed model-free reinforcement learning framework

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science China(Information sciences) 2025年第2期68卷 170-185页

作者： Xiongtao SHI Yanjie LI Chenglong DU Huiping LI Chaoyang CHEN Weihua GUI Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and AutomationHarbin Institute of Technology (Shenzhen) School of Automation Central South University School of Marine Science and Technology Northwestern Polytechnical University School of Information and Electrical Engineering Hunan University of Science and Technology

In this paper, the cooperative output regulation(COR) problem of a class of unknown heterogeneous multi-agent systems(MASs) with directed graphs is studied via a model-free reinforcement learning(RL) based fully distributed eventtriggered control(ETC) strategy. First, we consider the scenario that the exosystem is accessible globally to all agents, an internal model-based augmented algebraic Riccati equation(AARE) is constructed, and its solution is learned by the proposed model-free RL algorithm via online input-output data. Further, for the scenario that the exosystem is accessible only to its adjacent followers, the distributed observers are designed for each agent to get the state of the exosystem, and an internal modelbased fully distributed adaptive ETC protocol is then synthesized to construct the corresponding AARE, and the feedback gain matrix is learned in a model-free fashion. The model-free RL-based control protocol proposed in this paper can not only remove the prior knowledge of agents' dynamics, but also release the dependence on global information by the adaptive event-triggered mechanism(ETM) and the new graph-based Lyapunov function. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control scheme.

关键词： model-free reinforcement learning unknown heterogeneous multi-agent systems fully distributed event-triggered control directed graph

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Detecting Adversarial Fake Tasks in Mobile Crowd sensing Platforms 4

Detecting Adversarial Fake Tasks in Mobile Crowd sensing Pla...

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4th International Conference on Communication technology and Information technology, ICCTIT 2024

作者： Zhang, Zhonghuan Harbin University of Science and Technology School of Computer Science and Technology Heilongjiang Harbin150080 China

ISBN: (数字)9798331528973

ISBN: (纸本)9798331528973

The presence of fake tasks in mobile crowd sensing severely affects the normal operation of the platform. Due to the rapid development of deep learning, 'Adversarial Fake Tasks' now have a greater destructive impact than traditional fake tasks. Traditional fake tasks are generated based on experience, while adversarial fake tasks are created using deep learning techniques to mimic real tasks, making them difficult to be detected. This paper proposes a 'Spatial attention mechanism guided by distance' based on the multi-head self-attention mechanism to counter the threat of adversarial fake tasks in mobile crowdsensing platforms. This module captures the distance correlation between features of generated fake tasks and designs a detection model called Self Distance-Attention Convolution Crowdsensing Network (SDACC). Using SDACC as a detector, the detection steps based on the adversarial training defense strategy are as follows: firstly, utilize the generation model-SeqGAN to learn the distribution of real tasks and generate adversarial fake tasks;then train SDACC to detect adversarial fake tasks. Experiments on the MCS task datasets, the KDD Cup99 dataset, and the CICIDS-2017 dataset demonstrate that SDACC outperforms traditional detection algorithms in the MCS fake task detection domain, with average ACC, F1, and AUC reaching 0.9357,0.9332, and 0.9786 respectively. © 2024 IEEE.

关键词： Adversarial machine learning

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Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model

Biomedically Informed ECG Synthesis: Customizing Cardiac Cyc...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Lin, Yuxin Ma, Jing Wang, Wei Wu, Zhihao Dong, Suyu Luo, Gongning Wang, Kuanquan Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Northeast Forestry University College of Computer and Control Engineering Harbin China Harbin Institute of Technology Faculty of Computing Harbin China

ISBN: (纸本)9798350386226

Cardiovascular diseases are a major global health challenge, with electrocardiography (ECG) being critical for diagnosis and monitoring. As artificial intelligence and automated ECG diagnostic technologies rapidly advance, the demand for large-scale ECG databases continues to grow. Generative ECG has become a mainstream method to enhance database size and diversity. However, existing methods typically generate ECG randomly or focus on limited physiological categories, lacking the ability to synthesize ECG with varying physiological features and cardiac cycles, which is crucial for various practical applications. In response to this need, we propose a novel approach introducing a diffusion model called DIFF-ECG to generate precisely customized ECG that accurately reflect diverse cardiac conditions. Segmentation-based quality assessments confirmed that the synthesized ECG accurately followed the specified cardiac cycle information, with our model significantly outperforming baseline diffusion and GAN-based methods. Therefore, our approach addresses the critical need for generating clinically relevant and customizable ECG, contributing significantly to the field of automated cardiac disease diagnosis. By enabling fine-tuning of cardiac cycle phases, our method significantly expands the application range of generative ECG, potentially improving the diagnostic accuracy for rare diseases and advancing personalized medicine. © 2024 IEEE.

关键词： Electrocardiography

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Dislocation behavior in Cu single crystal joints under the ultrasonically excited high-strain-rate deformation

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Journal of Materials science & technology 2023年第10期141卷 66-77页

作者： Qiuchen Ma Jingyuan Ma Jianli Zhou Xiaoxiong Zheng Hongjun Ji The State Key Laboratory of Advanced Welding and Joining School of Materials Science and EngineeringHarbin Institute of Technology at ShenzhenShenzhen 518055China Sauvage Laboratory for Smart Materials Shenzhen Key Laboratory of Flexible Printed Electronics TechnologySchool of Materials Science and EngineeringHarbin Institute of Technology(Shenzhen)Shenzhen 518055China School of Science Harbin Institute of Technology at ShenzhenShenzhen 518055China

The coupling effects of ultrasonic excitation and high-strain-rate deformation are the core factors for weld formation during ultrasonic ***,interfacial deformation behavior still shrouds in uncer-tainty because of the contradictory features between mutual dislocation retardation caused by severely frictional deformation and ultrasonic-accelerated dislocation motion.[101]and[111]-oriented Cu single crystals which tended to form geometrically necessary boundaries(GNBs)were selected as the welding substrates to trace the uniquely acoustoplastic effects in the interfacial region under the ultrasonically excited high-strain-rate *** was indicated that for a low energy input,micro-welds localized at the specific interface region,and equiaxed dislocation cells substituting for GNBs dominated in the ini-tial single crystal rotation *** the welding energy increased,continuous shear deformation drove the dynamic recrystallization region covered by equiaxed grains to spread *** discrete dislocations inside the recrystallized grains and nascent dislocation cells at the grain boundaries were ob-served in[101]and[111]joints simultaneously,suggesting that the ultrasonic excitation promoted motion of intragranular dislocation and pile-up along the sub-grain *** interfacial morphology be-fore and after expansion of recrystallization region all exhibited the weakening of orientation constraint on dislocation motion,which was also confirmed by the similar micro-hardness in joint *** first-principle calculation and applied strain-rate analysis further revealed that ultrasonic excitation en-hanced dislocation slipping,and enabled dislocation motion to accommodate severe plastic deformation at a high-strain-rate.

关键词： Acoustoplasticity Ultrasonic welding Cu single crystal Dynamic recrystallization Dislocation cell High-strain-rate deformation

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Prediction of Bandwidth of Metamaterial Antenna Using Pearson Kernel-Based Techniques

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computers, Materials & Continua 2024年第3期78卷 3449-3467页

作者： Sherly Alphonse S.Abinaya Sourabh Paul School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India

The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial *** radiation cost and quality factor of the antenna are influenced by the size of the *** antennas allow for the circumvention of the bandwidth restriction for small *** parameters have recently been predicted using machine learning algorithms in existing *** learning can take the place of the manual process of experimenting to find the ideal simulated antenna *** accuracy of the prediction will be primarily dependent on the model that is *** this paper,a novel method for forecasting the bandwidth of the metamaterial antenna is proposed,based on using the Pearson Kernel as a standard *** with these new approaches,this paper suggests a unique hypersphere-based normalization to normalize the values of the dataset attributes and a dimensionality reduction method based on the Pearson kernel to reduce the dimension.A novel algorithm for optimizing the parameters of Convolutional Neural Network(CNN)based on improved Bat Algorithm-based Optimization with Pearson Mutation(BAO-PM)is also presented in this *** prediction results of the proposed work are better when compared to the existing models in the literature.

关键词： Antenna pearson optimization bandwidth metamaterial

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Controllable chaos in the coupled waveguide-optomechanical system with phase shifter

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science China(Physics,Mechanics & Astronomy) 2025年第4期68卷 26-34页

作者： Deng-Wei Zhang Pei-Qi Qin Li-Li Zheng Zhi-Ming Zhan Xin-You Lü Department of Mathematics and Physics Luoyang Institute of Science and TechnologyLuoyang 471023China School of Computer and Information Engineering School of SoftwareLuoyang Institute of Science and TechnologyLuoyang 471023China School of Artificial Intelligence Jianghan UniversityWuhan 430056China School of Physics Huazhong University of Science and TechnologyWuhan 430074China

We theoretically investigate chaotic dynamics in an optomechanical system composed of a whispering-gallery-mode(WGM)microresonator and a *** find that tuning the optical phase using a phase shifter and modifying the coupling strength via a unidirectional waveguide(IWG)can induce chaotic *** underlying reason for this phenomenon is that adjusting the phase and coupling strength via the phase shifter and IWG bring the system close to an exceptional point(EP),where field localization dynamically enhances the optomechanical nonlinearity,leading to the generation of chaotic *** addition,due to the sensitivity of chaos to phase in the vicinity of the EP,we propose a theoretical scheme to measure the optical phase perturbations using *** work may offer an alternative approach to chaos generation with current experimental technology and provide theoretical guidance for optical signal processing and chaotic secure communication.

关键词： cavity optomechanics chaos exceptional point

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INFORMER NEURAL NETWORK-BASED PREDICTION OF DEGRADATION TRAJECTORY OF ENERGY METER CLOCK BATTERY LIFE 14

INFORMER NEURAL NETWORK-BASED PREDICTION OF DEGRADATION TRAJ...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024

作者： Zhang, Lingyu Chen, Yongqi Qin, Xinkun He, Wanlin Qi, Jia Sun, Yongquan School of Computer Science and Technology Harbin University of Science and Technology Harbin China School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin China School of Electrical and Electronic Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781837242672

Accurate prediction of the life degradation trajectory of the clock battery, a critical component of the power meter, is essential for assessing the reliability of the device. Addressing the computational inefficiency and limited generalization capabilities of traditional empirical recession models, this paper introduces a prediction model based on the Informer neural network. The battery degradation data are initially segmented and reassembled using a sliding window strategy. The encoder-decoder structure is then employed to achieve multilevel feature extraction from the input sequences. By setting various prediction starting points, the model demonstrates high sensitivity in predicting battery degradation under temperature conditions identical to those in the training set. Additionally, the model is capable of predicting the degradation trajectories of batteries under different temperature conditions, such as 60℃. © The Institution of Engineering & technology 2024.

关键词： Decoding

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