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Towards Reliable Configuration Management in Clouds: A Lightweight Consistency Validation Mechanism for Virtual Private Clouds

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Chinese Journal of Electronics 2025年第1期34卷 49-63页

作者： Yuhang Qiu Gongming Zhao Hongli Xu Long Li He Huang Liusheng Huang School of Computer Science and Technology University of Science and Technology of China Suzhou Institute for Advanced Research University of Science and Technology of China School of Computer Science and Technology Soochow University

The virtual private cloud service currently lacks a real-time end-to-end consistency validation mechanism, which prevents tenants from receiving immediate feedback on their requests. Existing solutions consume excessive communication and computational resources in such large-scale cloud environments, and suffer from poor timeliness. To address these issues, we propose a lightweight consistency validation mechanism that includes real-time incremental validation and periodic full-scale validation. The former leverages message layer aggregation to enable tenants to swiftly determine the success of their requests on hosts with minimal communication overhead. The latter utilizes lightweight validation checksums to compare the expected and actual states of hosts locally, while efficiently managing the checksums of various host entries using inverted indexing. This approach enables us to efficiently validate the complete local configurations within the limited memory of hosts. In summary, our proposed mechanism achieves closed-loop implementation for new requests and ensures their long-term effectiveness.

关键词： Cloud computing Memory management Configuration management Reliability engineering Real-time systems Indexing

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An average-derivative based second-order staggered-grid finite-difference scheme for 3D frequency-domain elastic wave modeling

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Geophysics 2025年第3期90卷 T79-T97页

作者： Wang, Maosheng Li, Yang Chen, Yong Fu, Zhenwu Wang, Dawei Tang, Fujiao Harbin Institute of Technology School of Mathematics Harbin China Harbin Institute of Technology School of Transportation Science and Engineering Harbin China

In this paper, we develop an average-derivative based second-order staggered-grid finite-difference (ADSSFD) scheme for performing 3D frequency-domain elastic wave modeling. The ADSSFD scheme applies the idea of average derivative to discretize the first-order derivative of the stress tensors and combines the anti-lumped mass strategy to obtain a set of optimal finite-difference (FD) coefficients. We combine the Levenberg-Marquardt method with simulated annealing to minimize the misfit between the normalized phase velocity and one, ensuring the solution avoids local minima. Dispersion analysis indicates that when the upper limit of the phase velocity error is set to 1%, the ADSSFD scheme can reduce the minimum number of grid points per shear wavelength to 3.6. Numerical experiments indicate that under the same numerical setting, the ADSSFD scheme exhibits higher accuracy than the classic fourth-order staggered-grid FD (FSFD) scheme and the compact second-order staggered-grid FD scheme. In addition, we find the feasibility of using the ADSSFD scheme to perform simulations in the 3D overthrust model. We use a parallel iteration solver to solve the large sparse linear system obtained after the discretization. Because the condition number of the matrix in the ADSSFD scheme is smaller than that of the FSFD scheme, the ADSSFD scheme is cheaper to run. © 2025 Society of Exploration Geophysicists. All rights reserved.

关键词： Simulated annealing

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FCDFusion: A fast, low color deviation method for fusing visible and infrared image pairs

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Computational Visual Media 2025年第1期11卷 195-211页

作者： Hesong Li Ying Fu School of Computer Science and Technology Beijing Institute of TechnologyBeijing 100081China

Visible and infrared image fusion(VIF)aims to combine information from visible and infrared images into a single fused *** VIF methods usually employ a color space transformation to keep the hue and saturation from the original visible ***,for fast VIF methods,this operation accounts for the majority of the calculation and is the bottleneck preventing faster *** this paper,we propose a fast fusion method,FCDFusion,with little color *** preserves color information without color space transformations,by directly operating in RGB color *** incorporates gamma correction at little extra cost,allowing color and contrast to be rapidly *** regard the fusion process as a scaling operation on 3D color vectors,greatly simplifying the calculations.A theoretical analysis and experiments show that our method can achieve satisfactory results in only 7 FLOPs per *** to state-of-theart fast,color-preserving methods using HSV color space,our method provides higher contrast at only half of the computational *** further propose a new metric,color deviation,to measure the ability of a VIF method to preserve *** is specifically designed for VIF tasks with color visible-light images,and overcomes deficiencies of existing VIF metrics used for this *** code is available at https://***/HeasonLee/FCDFusion.

关键词： infrared images visible and infrared image fusion(VIF) gamma correction real-time display color metrics color deviation

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High-entropy sulfides enhancing adsorption and catalytic conversion of lithium polysulfides for lithium-sulfur batteries

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Journal of Energy Chemistry 2025年第3期102卷 263-270页

作者： Yating Huang Jiajun Wang Wei Zhao Lujun Huang Jinpeng Song Yajie Song Shaoshuai Liu Bo Lu School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001HeilongjiangChina School of Chemistry and Chemical Engineering Harbin Institute of TechnologyHarbin 150001HeilongjiangChina Stake Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001HeilongjiangChina

Lithium-sulfur(Li-S)batteries with high energy density suffer from the soluble lithium polysulfide species,Traditional metal sulfides containing a single metal element used as electrocatalysts for Li-S batteries commonly have limited catalytic abilities to improve battery ***,based on the Hume-Rothery rule and solvothermal method,the high-entropy sulfide NiCoCuTiVS_(x)derived from Co_(9)S_(8)was designed and synthesized,to realize the combination of small local strain and excellent catalytic *** all five metal elements(Ni,Co,Cu,Ti,and V)capable of chemical interactions with soluble polysulfides,NiCoCuTiVS_(x)exhibited strong chemical confinement of polysulfides and promoted fast kinetics for polysulfides ***,the S/NiCoCuTiVS_(x)cathode can maintain a high discharge capacity of 968.9 mA h g^(-1)after 200 cycles at 0.5 C and its capacity retention is 1.3 times higher than that of S/Co_(9)S_(8).The improved cycle stability can be attributed to the synergistic effect originating from the multiple metal elements,coupled with the reduced nucleation and activation barriers of Li_(2)*** present work opens a path to explore novel electrocatalyst materials based on high entropy materials for the achievement of advanced Li-S batteries.

关键词： High-entropy sulfides Hume-Rothery rule Polysulfides adsorption Cycle stability Lithium-sulfur batteries

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A promising approach to enhance fatigue life of TC11 titanium alloy:Low dislocation density and surface grain refinement induced by electropulsing

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材料科学技术（英文版） 2025年第1期204卷 60-70页

作者： Xiuwen Ren Zhongjin Wang Ruidong An School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China National Key Laboratory for Precision Hot Processing of Metals Harbin Institute of TechnologyHarbin 150001China

The fatigue life of components can be significantly enhanced by the formation of the surface hardness layer through surface strengthening *** avoid the geometric distortion of thin-walled com-ponents caused by strengthening,the strengthening energy is limited and the ideal strengthening effect cannot be *** work aims to propose a novel approach to address this issue *** surface layer with high-density dislocations was obtained by a low-energy surface strengthening method(shot peening)at *** the surface strengthening mechanism changes from dislocation strengthen-ing to grain boundary strengthening after electropulsing treatment(EPT).The evolution of residual stress and microstructure was analyzed using multi-scale characterization *** results demonstrate that EPT followed by surface strengthening makes a remarkable 304％increase in fatigue life of TC11 titanium *** enhancement of fatigue life can be attributed to the grain refinement accompanied by the formation of nanotwins and sub-grains in the surface-strengthened layer,as well as the reduction in dislocation density within the substrate after *** study demonstrates the significant potential of EPT in further enhancing the fatigue life of surface pre-strengthened thin-walled components.

关键词： Titanium alloy Electropulsing Surface strengthening Fatigue performance Dislocation density Surface grain refinement

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SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving

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ACM Transactions on Autonomous and Adaptive Systems 2025年第1期20卷 1-29页

作者： Bobo, Wang Yang, Hongwei Hao, Meng Zhang, Jiannan He, Hui Zhang, Weizhe School of Cyberspace Science Harbin Institute of Technology Harbin China

The autonomous driving system necessitates using privacy-preserving deep learning (PPDL) technologies as the safety assurance for its extensive application. However, existing PPDL solutions depend on intricate protocol designs for robust security. Although leveraging advanced dedicated hardware platforms can significantly improve inference efficiency, the PPDL frameworks that make the best use of hardware platform computility are scarce. Thus, balancing efficiency and security in PPDL remains an open question. This study presents SEPPDL, a secure tripartite inference framework for deep learning based on secret-sharing to balance privacy security and computational efficiency. We reduce the communication and calculation time by designing a deep learning quantization representation scheme, two new computational protocols, and a computation library that utilizes the integer computation units of the GPU. The experimental results show that compared with state-of-the-art PPDL frameworks, the SEPPDL framework reduces the communication and computation delay in the model inference to 1/2 and 1/3 of the existing optimal frameworks while maintaining the accuracy of the model inference. Meanwhile, the SEPPDL framework achieves a 10-fold performance improvement in a lightweight model. As the model scale increases, the performance of the SEPPDL-based model even achieves an 86-fold improvement compared to VGG16. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Differential privacy

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Maxwell’s Demon in MLP-Mixer:towards transferable adversarial attacks

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Cybersecurity 2025年第1期8卷 180-188页

作者： Haoran Lyu Yajie Wang Yu‑an Tan Huipeng Zhou Yuhang Zhao Quanxin Zhang School of Cyberspace Science and Technology Beijing Institute of TechnologyBeijingChina School of Computer Science and Technology Beijing Institute of TechnologyBeijingChina

Models based on MLP-Mixer architecture are becoming popular,but they still sufer from adversarial *** it has been shown that MLP-Mixer is more robust to adversarial attacks compared to convolutional neural networks(CNNs),there has been no research on adversarial attacks tailored to its *** this paper,we fll this *** propose a dedicated attack framework called Maxwell’s demon Attack(MA).Specifcally,we break the chan‑nel-mixing and token-mixing mechanisms of the MLP-Mixer by perturbing inputs of each Mixer layer to achieve high *** demonstrate that disrupting the MLP-Mixer’s capture of the main information of images by mask‑ing its inputs can generate adversarial examples with cross-architectural *** evaluations show the efectiveness and superior performance of *** generated based on masked inputs obtain a higher success rate of black-box attacks than existing transfer ***,our approach can be easily combined with existing methods to improve the transferability both within MLP-Mixer based models and to models with difer‑ent *** achieve up to 55.9%attack performance *** work exploits the true generaliza‑tion potential of the MLP-Mixer adversarial space and helps make it more robust for future deployments.

关键词： Adversarial attacks Adversarial examples Image classifcation

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Iron-induced NaTi2（PO4）3 with regulated electronic structure enables freshwater harvesting based on rocking-chair desalination battery

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science China Chemistry 2025年第5期68卷 2178-2187页

作者： Yuliang Wu Chen Ling Chaolin Li Wenhui Wang School of Civil and Environmental Engineering Harbin Institute of TechnologyShenzhen School of Environment and Resources Taiyuan University of Science and Technology State Key Laboratory of Urban Water Resource and Environment Harbin Institute of Technology

Despite the promising potential of NaTi2（PO4）3as desalination battery electrode,its mediocre seawater desalination capacity and durability fail to meet the requirements of practical ***,the substitution of Ti by Fe in NaTi2（PO4）3(NT2-xFxP),which possesses a stronger electronegativity relative to Ti,can regulate the electronic structure,thus facilitating charge transfer and ion diffusion during the desalination *** kinetic and thermodynamic facilitation of NT2-xFxP is clarified by the electrochemical analyses and DFT ***,the additional redox center and solid-solution reaction mechanism induced by Fe-dopant further contribute to a superior desalination performance of NT2-xFxP in different seawater *** from the multifunctional effect of Fe-dopant,the optimal NT1.7F0.3P delivers a large salt removal capacity(173.6 mg g-1) with an ultrahigh salt removal rate(8.48 mg g-1min-1),and maintains 96.6%of desalination capacity after 500 cycles in natural ***,the assembled NT1.7F0.3P||NaFeHCF rocking-chair desalination battery（RCDB） demonstrates a higher desalination performance than that of reported RCDB systems,and can desalinate natural seawater to freshwater standards under continuous desalination mode for the first time in RCDB *** work provides a facile but effective strategy to modulate the electronic structure of NaTi2（PO4）3for RCDB,and exploits a new perspective for developing scalable RCDB devices for continuous desalinating real seawater to freshwater.

关键词： NASICON-type NaTi2(PO4)3 electronic structure electrodes seawater desalination rocking-chair desalination battery

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LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics 31

LaERC-S: Improving LLM-based Emotion Recognition in Conversa...

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31st International Conference on Computational Linguistics, COLING 2025

作者： Fu, Yumeng Wu, Junjie Wang, Zhongjie Zhang, Meishan Shan, Lili Wu, Yulin Liu, Bingquan School of Computer Science and Technology Harbin Institute of Technology Harbin China School of Computer Science and Technology Soochow University Suzhou China School of Computer Science and Technology Harbin Institute of Technology Shenzhen China

ISBN: (纸本)9798891761964

Emotion recognition in conversation (ERC), the task of discerning human emotions for each utterance within a conversation, has garnered significant attention in human-computer interaction systems. Previous ERC studies focus on speaker-specific information that predominantly stems from relationships among utterances, which lacks sufficient information around conversations. Recent research in ERC has sought to exploit pre-trained large language models (LLMs) with speaker modelling to comprehend emotional states. Although these methods have achieved encouraging results, the extracted speaker-specific information struggles to indicate emotional dynamics. In this paper, motivated by the fact that speaker characteristics play a crucial role and LLMs have rich world knowledge, we present LaERC-S, a novel framework that stimulates LLMs to explore speaker characteristics involving the mental state and behavior of interlocutors, for accurate emotion predictions. To endow LLMs with this knowledge information, we adopt the two-stage learning to make the models reason speaker characteristics and track the emotion of the speaker in complex conversation scenarios. Extensive experiments on three benchmark datasets demonstrate the superiority of LaERC-S, reaching the new state-of-the-art. © 2025 Association for Computational Linguistics.

关键词： Emotion Recognition

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Anomaly Detection via Semantically Conjugate View Learning on Industrial Temporal Data

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IEEE Internet of Things Journal 2025年第11期12卷 15479-15490页

作者： Wang, Kai Yu, Shuaiyi L. Wang, Bailing Zhang, Yongzheng School of Computer Science and Technology Harbin Institute of Technology Weihai China Faculty of Computing Harbin Institute of Technology China China Assets Cybersecurity Technology CO. Ltd. China

Anomaly detection based on knowledge discovery from the industrial temporal data via Graph Neural Networks (GNNs) has been extensively prevailing over the past decade. So far, massive contributions have been made in deriving superior anomaly detection solutions by leveraging the sophisticated associativity among nodes in a graph topology. While this node-oriented fashion is at its fancy, the idea of utilizing a graph’s edges in anomaly detection tends to be equivalently significant, in that the edges are the other core component that construct a graph and are, more essentially, rich in convoluted correlational properties. As current methods seldom take these edge-level correlations into account, we aim at constructing a dual-channel graph learning scheme attempting to adequately utilize these edge-level contextual semantics in anomalous pattern detection. In specific, we design and develop the Node-Edge Conjugate Network (NECN), a GNN-based solution that conducts device-wise anomaly detection leveraging not only the complex associativity among the nodes but also the sophisticated correlations among the edges via knowledge discovery from the industrial temporal data. With the in-depth contextual features of the nodes and edges profiled in their respective channel, the resulting embeddings are a more appropriate reflection of the graph’s topological properties in terms of both nodes and edges, and hence serve as a more solid basis for subsequent anomaly detection. The NECN’s effectiveness in achieving a superior anomaly detection accuracy is demonstrated in a comprehensive comparative analysis with multiple state-of-the-art baselines over 3 popular datasets specifically developed for the study of ICS security. © 2014 IEEE.

关键词： Graph neural networks

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