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6th ACM International Conference on Multimedia in Asia, MMAsia 2024

作者： Dong, Zhiqian Yang, Sheng Zhou, Peng Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging School of Computer Science and Technology Anhui University Hefei China

ISBN: (纸本)9798400712739

Recently disentangled multi-view clustering methods demonstrate promising performance and attract increasing interest. However, the existing disentangled multi-view clustering methods cannot fully capture the common information across all views and also ignore the effects of noises on private information. Furthermore, existing methods often suffer from false negative samples due to random negative sampling. In this paper, we propose a novel method called dual-enhanced disentangled Multi-View Clustering (DEDMVC), consisting of disentangled representation enhancement and clustering debiasing enhancement. In disentangled representation enhancement, we extract comprehensive common information and diverse private information by decoupling common and private information. Moreover, we employ contrast constraints to reduce the impact of noises on private information. In clustering debiasing enhancement, we develop a debiased sampling strategy to decrease false negative samples by leveraging pseudo-labels and neighbor information. At last, we conduct experiments on six datasets by comparing them to other state-of-the-art methods. The experimental results demonstrate the effectiveness and superiority of our method. © 2024 Copyright held by the owner/author(s).

关键词： Contrastive Learning

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Anion-Regulated Weakly Solvating Electrolytes for High-Voltage Lithium Metal Batteries

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Energy & Environmental Materials 2023年第6期6卷 259-265页

作者： Zhipeng Jiang Jisheng Mo Chen Li Haiwen Li Qingan Zhang Ziqi Zeng Jia Xie Yongtao Li School of Materials Science and Engineering&Low-Carbon New Materials Research Center Anhui University of TechnologyMaanshan 243002China Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials of Ministry of Education Anhui University of TechnologyMaanshan 243002China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China Hefei General Machinery Research Institute Hefei 230031China

Development of advanced high-voltage electrolytes is key to achieving high-energy-density lithium metal batteries(LMBs).Weakly solvating electrolytes(WSE)can produce unique anion-driven interphasial chemistry via altering the solvating power of the solvent,but it is difficult to dissolve the majority of Li salts and fail to cycle at a cut-off voltage above 4.5 ***,we present a new-type WSE that is regulated by the anion rather than the solvent,and the first realize stable cycling of dimethoxyethane(DME)at 4.6 V without the use of the“solvent-in-salt”*** relationships between the degree of dissociation of salts,the solvation structure of electrolytes,and the electrochemical performance of LMBs were systematically *** found that LiBF_(4),which has the lowest degree of dissociation,can construct an anion-rich inner solvation shell,resulting in anion-derived anode/cathode *** to such unusual solvation structure and interphasial chemistry,the Li-LiCoO_(2)full cell with LiBF_(4)-based WSE could deliver excellent rate performance(115 mAh g^(-1)at 10 C)and outstanding cycling stability even under practical conditions,including high loading(10.7 mg cm^(-2)),thin Li(50μm),and limited electrolyte(1.2μL mg^(-1)).

关键词： high-voltage LiCoO_(2) lithium metal batteries solvation structure weakly solvating electrolyte

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Synergistic Improvement in Ductility and Hot Nitric Acid Corrosion Resistance of LPBF Ti-6Al-4V Alloy via Hot Isostatic Pressing

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Acta Metallurgica Sinica(English Letters) 2025年第1期38卷 102-106页

作者： Zheng Liu De-Chun Ren Lian-Min Zhang Ai-Li Ma Hai-Bin Ji Yu-Gui Zheng CAS Key Laboratory of Nuclear Materials and Safety Assessment Institute of Metal ResearchChinese Academy of SciencesShenyang110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang110016China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

Laser powder bed fusion(LPBF)technology offers a promising solution to the fabricability challenges of titanium alloys;however,it introduces defects such as porosity and ***,we evaluated the effectiveness of hot isostatic pressing(HIP)in eliminating defects and enhancing the overall properties of LPBF Ti-6Al-4V *** findings indicated that LPBF Ti-6Al-4V alloy after HIP established better corrosion resistance and *** improvements could be related to the decomposition ofαʹphase and the elimination of internal defects within alloy ***,the application prospect of LPBF Ti-6Al-4V alloy in spent fuel reprocessing environment was expounded.

关键词： Laser powder bed fusion Ti-6Al-4V Hot isostatic pressing Corrosion Mechanical properties

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An in-situ self-etching enabled high-power electrode for aqueous zinc-ion batteries

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Journal of Energy Chemistry 2024年第1期88卷 399-408,I0009页

作者： Shuang Hou Dingtao Ma Yanyi Wang Kefeng Ouyang Sicheng Shen Hongwei Mi Lingzhi Zhao Peixin Zhang College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518060GuangdongChina Guangdong Provincial Engineering Technology Research Center for Low Carbon and Advanced Energy Materials School of Semiconductor Science and TechnologySouth China Normal UniversityFoshan 528225GuangdongChina SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd.Qingyuan 511517GuangdongChina

Sluggish storage kinetics is considered as the main bottleneck of cathode materials for fast-charging aqueous zinc-ion batteries(AZIBs).In this report,we propose a novel in-situ self-etching strategy to unlock the Palm tree-like vanadium oxide/carbon nanofiber membrane(P-VO/C)as a robust freestanding *** investigations including the finite element simulation,in-situ X-ray diffraction,and in-situ electrochemical impedance spectroscopy disclosed it an electrochemically induced phase transformation mechanism from VO to layered Zn_(x)V_(2)O_5·nH_(2)O,as well as superior storage kinetics with ultrahigh pseudocapacitive *** demonstrated,such electrode can remain a specific capacity of 285 mA h g^(-1)after 100 cycles at 1 A g^(-1),144.4 mA h g^(-1)after 1500 cycles at 30 A g^(-1),and even 97 mA h g^(-1)after 3000 cycles at 60 A g^(-1),***,an impressive power density of 78.9 kW kg^(-1)at the super-high current density of 100 A g^(-1)also can be *** design concept of in-situ self-etching free-standing electrode can provide a brand-new insight into extending the pseudocapacitive storage limit,so as to promote the development of high-power energy storage devices including but not limited to AZIBs.

关键词： In-situ self-etching Free-standing electrode Pseudocapacitive storage High-power Zinc-ion batteries

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Separation and analysis of six fractions in low temperature coal tar by column chromatography

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Chinese Journal of Chemical Engineering 2023年第6期58卷 256-265页

作者： Shuangtai Liu Lei He Qiuxiang Yao Xi Li Linyang Wang Jing Wang Ming Sun Xiaoxun Ma School of Chemical Engineering Northwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utilization of Hydrocarbon ResourcesChemical Engineering Research Center of the Ministry of Education for Advanced Use Technology of Shanbei EnergyShaanxi Research Center of Engineering Technology for CleanSchool of Chemical EngineeringNorthwest UniversityInternational Science&Technology Cooperation Base of MOST for Clean Utiliza School of Electronic Information Xijing UniversityXi’an Key Laboratory of Advanced Photo-electronics Materials and Energy Conversion DeviceXi’an 710123China

The low temperature coal tar(CT)is taken as the raw material,and the extraction and column chromatography are used for detailed and accurate characterization in this *** n-heptane soluble fraction(CT-HS)and insoluble fraction(CT-HI)were obtained by n-heptane Soxhlet *** extraction rate of CT-HS reached 92.79%(mass),which indicated that there are few heavy compounds in ***,different solvents(methylbenzene,benzene,ethyl acetate,methylbenzene-ethanol)were used to elute CT-HS by chromatographic column to obtain five fractions(saturates,aromatics,heteroatoms,phenolics and resins,named CT-SA,CT-AR,CT-HE,CT-PH,CT-RE,respectively).The yields of CTSA,CT-AR,CT-HE,CT-PH,CT-RE are 42.12%,10.43%,2.19%,9.50%and 6.63%(mass),*** chromatography-mass spectrometry analysis of eluting components show that alkanes are the main components in CT,followed by polycyclic aromatics,and the corresponding fractions are CT-SA and CT-AR,*** relative content of aliphatics in CT-SA is 76.93%,and the relative content of aromatics in CT-AR is 75.05%.This separation technology effectively separates and enriches different components in CT,and the activation energy required for the pyrolysis process of a single eluting fraction is lower than that of CT,which is expected to provide an important reference for the separation,analysis and conversion of complex oil products such as coal-oil co-processing products,coal tar and other complex heavy carbon oil products.

关键词： Low temperature coal tar Extractive separation Column chromatography isolation Chromatography/mass spectrometry

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Exploring key machine learning technologies and developments in photonics from the perspective of patent examiners

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International Journal of technology, Policy and Management 2024年第4期24卷 343-357页

作者： Chang, Shu-Hao Fan, Chin-Yuan Science and Technology Policy Research and Information Center National Applied Research Laboratories 14F. No. 106 Section 2 Heping E. Rd. Da’an Dist. Taipei10636 Taiwan

As smart applications mature, the application of machine learning technologies in photonics has become a prospective research area. Thus, the present study investigated various patents identified and cited by examiners, and a technology network model was employed to identify key technologies. Several major technologies were identified, namely those pertaining to electric digital data processing, graphical data reading, signalling and calling systems, vehicles, vehicle fittings, and vehicle parts. Various differences between the technologies cited by applicants and examiners were discovered. The technologies most frequently cited by applicants pertained to diagnoses, surgeries, and identification, whereas those most often cited by examiners pertained to electric digital data processing;notably, examiners used the technologies in this field to approve, reject, or limit the scope of patent rights. The results of the present study can serve as a reference for researching and improving resource allocation. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Vehicle actuated signals

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Scene image recognition with knowledge transfer for drone navigation

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Journal of Systems Engineering and Electronics 2023年第5期34卷 1309-1318页

作者： DU Hao WANG Wei WANG Xuerao ZUO Jingqiu WANG Yuanda School of Automation Southeast UniversityNanjing 210096China Autonomous Control Robot Laboratory Jiangsu Zhongke Institute of Applied Research on Intelligent Science and TechnologyChangzhou 213164China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

In this paper,we study scene image recognition with knowledge transfer for drone *** divide navigation scenes into three macro-classes,namely outdoor special scenes(OSSs),the space from indoors to outdoors or from outdoors to indoors transitional scenes(TSs),and ***,there are difficulties in how to recognize the TSs,to this end,we employ deep convolutional neural network(CNN)based on knowledge transfer,techniques for image augmentation,and fine tuning to solve the ***,there is still a novelty detection prob-lem in the classifier,and we use global navigation satellite sys-tems(GNSS)to solve it in the prediction *** results show our method,with a pre-trained model and fine tun-ing,can achieve 91.3196%top-1 accuracy on Scenes21 dataset,paving the way for drones to learn to understand the scenes around them autonomously.

关键词： scene recognition convolutional neural network knowledge transfer global navigation satellite systems(GNSS)-aided

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Polarization-contrcoled chiral trransport

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Light(science & Applications) 2025年第3期14卷 822-830页

作者： Hang Zhu Jian Wang Andrea Alu Lin Chen Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Photonics Initiative Advanced Science Research CenterCity University of New YorkNew YorkNY 10031USA physics Program Graduate CenterCity University of New YorkNew YorkNY 10016USA Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518063China Key Laboratory of High Temperature Electromagnetic Materials and Structure of MOE Wuhan University of Science andTechnologyWuhan430081China

Handedness-selective chiral transport is an intriguing phenomenon that not only holds signifcant importance for fundamental research but also carries application prospects in fields such as optical communications and ***,on-chip chiral transport devices are static,unable to modulate the output modes based on the input *** limits both device functionality reconfiguration and information transmission ***,we propose to use the incident polarization diversity to control the Hamiltonian evolution path,achieving polarization-dependent chiral *** mapping the evolution path of TE and TM polarizations onto elaborately engineered double-coupled waveguides,we experimentally demonstrate that different polarizations yield controllable modal *** work combines Multiple-lnput,Multiple-Output,and polarization diversity concepts with chiral transport and challenges the prevailing notion that the modal outputs are fixed to specific modes in chiral transport,thereby opening pathways for the development of on-chip reconfigurable and high-capacity handedness-selective devices.

关键词： polarization controlled handedness selective control hamilton modulate output modes incident polarization diversity optical communications chiral transport fundamental research

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Autonomous landing scene recognition based on transfer learning for drones

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Journal of Systems Engineering and Electronics 2023年第1期34卷 28-35页

作者： DU Hao WANG Wei WANG Xuerao WANG Yuanda School of Automation Southeast UniversityNanjing 210096China Autonomous Control Robot Laboratory Jiangsu Zhongke Institute of Applied Research on Intelligent Science and TechnologyChangzhou 213164China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing 210044China

In this paper, we study autonomous landing scene recognition with knowledge transfer for drones. Considering the difficulties in aerial remote sensing, especially that some scenes are extremely similar, or the same scene has different representations in different altitudes, we employ a deep convolutional neural network(CNN) based on knowledge transfer and fine-tuning to solve the problem. Then, LandingScenes-7 dataset is established and divided into seven classes. Moreover, there is still a novelty detection problem in the classifier, and we address this by excluding other landing scenes using the approach of thresholding in the prediction stage. We employ the transfer learning method based on ResNeXt-50 backbone with the adaptive momentum(ADAM) optimization algorithm. We also compare ResNet-50 backbone and the momentum stochastic gradient descent(SGD) optimizer. Experiment results show that ResNeXt-50 based on the ADAM optimization algorithm has better performance. With a pre-trained model and fine-tuning, it can achieve 97.845 0% top-1 accuracy on the LandingScenes-7dataset, paving the way for drones to autonomously learn landing scenes.

关键词： landing scene recognition convolutional neural network(CNN) transfer learning remote sensing image

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Effect of Y_(2)O_(3)doping on preparation ultrafine/nano-tungsten powder and refinement mechanism

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Tungsten 2023年第4期5卷 539-547页

作者： Dong-Dong Lv Yu Sun Jian-Bo Zhang Sheng-Da Guo Bai-Xiong Liu Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and TechnologyGanzhou341000China Jiangxi Advanced Copper Industry Research Institute Yingtan335000China Naional Rare Earh Functional Material Innovation Center Jiangxi Universiy of Science and TechnologyGanzhou341000China Engineering Research Center of Tungsten Resources High-Efficiency Development and Application Technology of the Ministry of Education Jiangxi University of Science and TechnologyGanzhou341000China

In this study,ultrafine/nano W-Y_(2)O_(3)composite powders were synthesized by spray drying,roasting and two-step hydrogen reduction using ammonium metatungstate and yttrium nitrate as raw *** mechanism of the influence of Y_(2)O_(3)on the growth of WO_(2.72)and the particle refinement of tungsten powder is *** effect of Y_(2)O_(3)particles on the reduction behavior of tungsten powder was investigated using scanning electron microscopy to study the near surface morphology and X-ray diffraction for phase ID(composition)and crystal structural changes for the reduced powders at each *** results show that the doping of 0.3 wt.%Y_(2)O_(3)can significantly increase the aspect ratio of WO_(2.72)in the first step of hydrogen ***,Y_(2)O_(3)can effectively inhibit the growth of tungsten particles in the hydrogen reduction ***,The Y_(2)O_(3)-doped tungsten powders have finer particles and a narrower particle size distribution range than the undoped *** average particle diameter of 0.3 wt.%Y_(2)O_(3)doping tungsten powder was in the range of 90-120 nm.

关键词： Tungsten powder Hydrogen reduction Yttrium oxide

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