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Restage:Relation Structure-Aware Hierarchical Heterogeneous Graph Embedding

Tsinghua science and technology 2025年第1期30卷 198-214页

作者： Huanjing Zhao Pinde Rui Jie Chen Shu Zhao Yanping Zhang School of Computer Science and Technology Anhui UniversityInformation Materials and Intelligent Sensing Laboratory of Anhui ProvinceHefei 230601China

Heterogeneous graphs contain multiple types of entities and relations,which are capable of modeling complex *** on heterogeneous graphs has become an essential tool for analyzing and understanding such *** these meticulously designed methods make progress,they are limited by model design and computational resources,making it difficult to scale to large-scale heterogeneous graph data and hindering the application and promotion of these *** this paper,we propose Restage,a relation structure-aware hierarchical heterogeneous graph embedding *** this framework,embedding only a smaller-scale graph with existing graph representation learning methods is sufficient to obtain node representations on the original heterogeneous *** consider two types of relation structures in heterogeneous graphs:interaction relations and affiliation ***,we design a relation structure-aware coarsening method to successively coarsen the original graph to the top-level layer,resulting in a smaller-scale ***,we allow any unsupervised representation learning methods to obtain node embeddings on the top-level ***,we design a relation structure-aware refinement method to successively refine the node embeddings from the top-level graph back to the original graph,obtaining node embeddings on the original *** results on three public heterogeneous graph datasets demonstrate the enhanced scalability of representation learning methods by the proposed *** another large-scale graph,the speed of existing representation learning methods is increased by up to eighteen times at most.

关键词： heterogeneous graph graph embedding relation structure hierarchical

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Surface-modified composite separator for lithium-ion battery with enhanced durability and security

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Progress in Natural science:Materials International 2023年第6期33卷 804-811页

作者： Wangbing Yao Xiaodong He Zhuoyuan Zheng Dongming Liu Jinbao Song Yusong Zhu School of Materials Science and Engineering Anhui University of Technology Nanjing Gotion Battery Co.LTD School of Energy Science and Engineering Nanjing Tech University

In the long-term repeated cycling process of lithium-ion batteries（LIBs）, the seamless transmission of lithium ions through the separator is crucial for the normal operation of the batteries. However, the irregular porous structure of the commonly used polyethylene（PE） separator leads to the accumulation of chaotic lithium ions and the formation of lithium dendrites, which pose serious safety risks. To enhance the safety performance of LIBs, we propose a novel composite separator design that incorporates ultrafine Al2O3particles and a multifunctional gel polymer binder, which are mixed and coated onto PE membranes. This composite separator improves the wettability and lithium-ion transference number, resulting in impressive cycling lifespan and high average Coulombic efficiencies for large-scale prismatic LiFePO4//graphite batteries. These batteries exhibit approximately 80 % capacity retention over 1900 cycles with average Coulombic efficiencies of 99.95 %. Furthermore,even after 1000 cycles, LIBs fabricated with the composite separator pass the rigorous nail penetration test. These enhancements in safety performance offer promising prospects for achieving dendrite-free LIBs during long-term cycling processes.

关键词： Multifunctional binder Dendrite-free Long cycling lifespan Nail penetration examination

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Research on the influence of quadrupole deformation and continuum effects on the exotic properties of 15,17,19B with the complex momentum representation method

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Nuclear science and Techniques 2023年第2期34卷 98-108页

作者： Xue‑Neng Cao Xian‑Xian Zhou Ming Fu Xin‑Xing Shi School of Management Science and Engineering Anhui University of Finance and EconomicsBengbu 233030China School of Mechanics and Optoelectronic Physics Anhui University of Science and TechnologyHuainan 232001China

The properties of exotic nuclei are the focus of the present ***-neutron halo structures of neutron-rich17,19B were experimentally *** studied the formation mechanism of halo phenomena in17,19B using the complex momentum representation method applied to deformation and continuum *** examining the evolution of the weakly bound and resonant levels near the Fermi surface,s–d orbital reversals and certain prolate deformations were *** addition,by analyzing the evolution of the occupation probabilities and density distributions occupied by valence neutrons,we found that the ground state of15B did not exhibit a halo and the ground states of17B and19B exhibited halos at 0.6≤β2≤0.7 and0.3≤β2≤0.7,*** low-l components in the valence levels that are weakly bound or embedded in the continuous spectrum lead to halo formation.

关键词： Quadrupole deformation Resonant states Complex momentum representation Halo

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Convolutional Neural Network Image Classification Based on Different Color Spaces

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Tsinghua science and technology 2025年第1期30卷 402-417页

作者： Zixiang Xian Rubing Huang Dave Towey Chuan Yue School of Computer Science and Engineering Macao University of Science and TechnologyMacao 999078China School of Computer Science University of Nottingham Ningbo ChinaNingbo 315100China

Although Convolutional Neural Networks(CNNs)have achieved remarkable success in image classification,most CNNs use image datasets in the Red-Green-Blue(RGB)color space(one of the most commonly used color spaces).The existing literature regarding the influence of color space use on the performance of CNNs is *** paper explores the impact of different color spaces on image classification using *** compare the performance of five CNN models with different convolution operations and numbers of layers on four image datasets,each converted to nine color *** find that color space selection can significantly affect classification accuracy,and that some classes are more sensitive to color space changes than *** color spaces may have different expression abilities for different image features,such as brightness,saturation,hue,*** leverage the complementary information from different color spaces,we propose a pseudo-Siamese network that fuses two color spaces without modifying the network *** experiments show that our proposed model can outperform the single-color-space models on most *** also find that our method is simple,flexible,and compatible with any CNN and image dataset.

关键词： color space Convolutional Neural Network(CNN) image classification pseudo-Siamese network

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Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks

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Chinese Journal of Electronics 2024年第1期33卷 231-244页

作者： Ming CHEN Yajian JIANG Xiujuan LEI Yi PAN Chunyan JI Wei JIANG College of Information Science and Engineering Hunan Normal University School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Computer Science Department BNU-HKBU United International College

Drug-target interactions(DTIs) prediction plays an important role in the process of drug *** computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and targets while ignoring relational types information. Considering the positive or negative effects of DTIs will facilitate the study on comprehensive mechanisms of multiple drugs on a common target, in this work, we model DTIs on signed heterogeneous networks, through categorizing interaction patterns of DTIs and additionally extracting interactions within drug pairs and target protein pairs. We propose signed heterogeneous graph neural networks(SHGNNs), further put forward an end-to-end framework for signed DTIs prediction, called SHGNN-DTI,which not only adapts to signed bipartite networks, but also could naturally incorporate auxiliary information from drug-drug interactions(DDIs) and protein-protein interactions(PPIs). For the framework, we solve the message passing and aggregation problem on signed DTI networks, and consider different training modes on the whole networks consisting of DTIs, DDIs and PPIs. Experiments are conducted on two datasets extracted from Drug Bank and related databases, under different settings of initial inputs, embedding dimensions and training modes. The prediction results show excellent performance in terms of metric indicators, and the feasibility is further verified by the case study with two drugs on breast cancer.

关键词： Drug-target interactions Signed heterogeneous network Link sign prediction Graph neural networks

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Cooperative-Guided Ant Colony Optimization with Knowledge Learning for Job Shop Scheduling Problem

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Tsinghua science and technology 2024年第5期29卷 1283-1299页

作者： Wei Li Xiangfang Yan Ying Huang School of Information Engineering Jiangxi University of Science and TechnologyGanzhou 341000China School of Mathematics and Computer Science Gannan Normal UniversityGanzhou 341000China

With the advancement of the manufacturing industry,the investigation of the shop floor scheduling problem has gained increasing *** Job shop Scheduling Problem(JSP),as a fundamental scheduling problem,holds considerable theoretical research ***,finding a satisfactory solution within a given time is difficult due to the NP-hard nature of the JSP.A co-operative-guided ant colony optimization algorithm with knowledge learning(namely KLCACO)is proposed to address this *** algorithm integrates a data-based swarm intelligence optimization algorithm with model-based JSP schedule knowledge.A solution construction scheme based on scheduling knowledge learning is proposed for *** problem model and algorithm data are fused by merging scheduling and planning knowledge with individual scheme construction to enhance the quality of the generated individual solutions.A pheromone guidance mechanism,which is based on a collaborative machine strategy,is used to simplify information learning and the problem space by collaborating with different machine processing ***,the KLCACO algorithm utilizes the classical neighborhood structure to optimize the solution,expanding the search space of the algorithm and accelerating its *** KLCACO algorithm is compared with other highperformance intelligent optimization algorithms on four public benchmark datasets,comprising 48 benchmark test cases in *** effectiveness of the proposed algorithm in addressing JSPs is validated,demonstrating the feasibility of the KLCACO algorithm for knowledge and data fusion in complex combinatorial optimization problems.

关键词： Ant Colony Optimization(ACO) Job shop Scheduling Problem(JSP) knowledge learning cooperative guidance

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An Efficient Method for Identifying Lower Limb Behavior Intentions Based on Surface Electromyography

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computers, Materials & Continua 2023年第12期77卷 2771-2790页

作者： Liuyi Ling Yiwen Wang Fan Ding Li Jin Bin Feng Weixiao Li Chengjun Wang Xianhua Li School of Artificial Intelligence Anhui University of Science and TechnologyHuainan232001China Institute of Environment-Friendly Materials and Occupational Health Anhui University of Science and TechnologyWuhu241003China School of Electrical&Information Engineering Anhui University of Science and TechnologyHuainan232001China School of Mechanical Engineering Anhui University of Science and TechnologyHuainan232001China

Surface electromyography(sEMG)is widely used for analyzing and controlling lower limb assisted exoskeleton *** intention recognition based on sEMG is of great significance for achieving intelligent prosthetic and exoskeleton *** highly efficient recognition while improving performance has always been a significant *** address this,we propose an sEMG-based method called Enhanced Residual Gate Network(ERGN)for lower-limb behavioral intention *** proposed network combines an attention mechanism and a hard threshold function,while combining the advantages of residual structure,which maps sEMG of multiple acquisition channels to the lower limb motion ***,continuous wavelet transform(CWT)is used to extract signals features from the collected sEMG ***,a hard threshold function serves as the gate function to enhance signals quality,with an attention mechanism incorporated to improve the ERGN’s performance *** results demonstrate that the proposed ERGN achieves extremely high accuracy and efficiency,with an average recognition accuracy of 98.41%and an average recognition time of only 20 ms-outperforming the state-of-the-art research *** research provides support for the application of lower limb assisted exoskeleton robots.

关键词： sEMG movement intention efficient network convolutional neural network

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The Security of Using Large Language Models:A Survey With Emphasis on ChatGPT

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 1-26页

作者： Wei Zhou Xiaogang Zhu Qing-Long Han Lin Li Xiao Chen Sheng Wen Yang Xiang the School of Science Computing and Engineering Technologies Swinburne University of Technology IEEE the School of Computer and Mathematical Sciences the University of Adelaide Adelaide the Faculty of Science and Engineering Southern Cross University the School of Information and Physical Sciences the University of Newcastle

ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future *** this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.

关键词： Artificial intelligence (AI) ChatGPT large language models (LLMs) security

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Supplier Encroachment and Quality Disclosure Strategy in an E-supply Chain with Blockchain technology

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Journal of Systems science and Systems engineering 2024年第6期33卷 682-715页

作者： Huimin Zhang Zhenkai Lou Yan Yan Fujun Hou School of Management and Economics Beijing Institute of TechnologyBeijing100081China School of Management Science and Engineering Anhui University of TechnologyMaanshan243032China

This paper explores quality disclosure strategy in an e-supply chain including a supplier and an e-retailer driven by blockchain technology(BT),wherein the supplier possesses private quality information and has the option to encroach on the end *** investigate the no-encroachment and encroachment scenarios under the three quality disclosure strategies(i.e.,non-disclosure strategy,voluntary disclosure strategy and BT-supported disclosure strategy).The impact of supplier encroachment and firms’preference for disclosure strategies are *** analysis shows that regardless of the strategy chosen,encroachment always benefits the supplier but,under certain conditions,benefits the ***,with no-encroachment,both the supplier and the e-retailer have the same preference for disclosure *** encroachment,however,the supplier prefers the voluntary disclosure strategy when both the quality variability and direct selling cost are small,and BT’s operation cost is relatively large;otherwise,he prefers the BT-supported disclosure *** the e-retailer,she always prefers both the voluntary and BT-supported disclosure ***,it is observed that the BT-supported disclosure strategy emerges as optimal for both the supplier and the e-retailer when faced with significant quality variability,regardless of *** and adopting BT can generate more consumer surplus under certain ***,we extend the basic model by considering simultaneous quantity decision and find that keying findings are ***,management insights are covered and given.

关键词： Supply chain management encroachment blockchain technology quality disclosure

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Finite-Time Sliding Mode Control of Vehicle Formation with Specified Performance

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engineering Letters 2025年第3期33卷 620-629页

作者： Guo, Dongyang Zhang, Zhao Zhou, Hongyan Chen, Xue-Bo School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan114051 China

The current urban intelligent transportation is in a rapid development stage, and coherence control of vehicle formations has important implications in urban intelligent transportation research. This article focuses on the problem of urban intelligent transportation planning, and proposes a new control method for vehicle formation regulation tracking performance control with bounded disturbances and model uncertainty, combining the multiple advantages of sliding mode control and finite time control and utilizing the universal approximation of neural network. This method can ensure that the vehicle formation can achieve the specified tracking performance and be stable in finite time instead of asymptotically stable. First, the third-order dynamics model and spacing strategy of the vehicle are given. The tracking performance of the vehicle formation is specified. Then, the control objective of the system is transformed by using the error transformation to obtain a new system. An improved sliding mode surface is designed for the transformed system. Furthermore, the universal approximation property of the neural network is utilised to overcome the parameter uncertainty in the system. The reconstruction error of neural network is handled by a robust term. In addition, the jittery vibration phenomenon of sliding mode control has been overcome. Finally, the finite-time stability of the system is analysed by constructing the Lyapunov function, simulations were performed to validate and compare with conventional control methods, simulation results show that the novel control method proposed in this paper is significantly faster than the conventional control method, validated the effectiveness of the method proposed in this paper. © 2025, International Association of Engineers. All rights reserved.

关键词： Lyapunov functions

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