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学者姓名：卢孝强
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Abstract ：
Mobile edge caching (MEC) has grown substantially with the rapid development in scale and complexity of data traffic. By exploiting the expansive coverage of autonomous aerial vehicles (AAVs), MEC enables services for massive vehicle users (VUs) simultaneously, which is promising for enhancing network transmission efficiency. Nonetheless, due to challenges arising from the timeliness and freshness of content services caused by AAVs' limited endurance and airborne capacity, caching strategy considering the real-time of content in large-scale dynamic Internet of Vehicles (IoV) environments remains open. With the above consideration, in this article, the cache refreshing cycle and content placement are jointly optimized in the cache-enabled AAV-assisted vehicular integrated networks (CAVINs) to minimize the content Age of Information (AoI) and energy consumption of the macro AAV. Since the joint optimization problem is variational coupled with nonconvex binary constraints, it is decoupled and solved by a double-iteration method. Specifically, the optimal cache refreshing cycle is derived in semi-closed form with the Karush-Kuhn-Tucker (KKT) conditions. The locally optimal solution of the content placement is obtained through successive convex approximation (SCA). Simulation results corroborate the effectiveness and superiority of the proposed scheme.
Keyword ：
Age of Information (AoI) Age of Information (AoI) Autonomous aerial vehicles Autonomous aerial vehicles Complexity theory Complexity theory Energy consumption Energy consumption Energy efficiency Energy efficiency Information age Information age Internet of Vehicles Internet of Vehicles Internet of Vehicles (IoV) Internet of Vehicles (IoV) mobile edge caching (MEC) mobile edge caching (MEC) Optimization Optimization Real-time systems Real-time systems Simulation Simulation unmanned aerial vehicles (AAVs)-assisted networks unmanned aerial vehicles (AAVs)-assisted networks Vehicle dynamics Vehicle dynamics
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| GB/T 7714 | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao et al. AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks [J]. | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) : 6764-6774 . |
| MLA | Xiao, Yang et al. "AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks" . | IEEE INTERNET OF THINGS JOURNAL 12 . 6 (2025) : 6764-6774 . |
| APA | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao , Chen, Youjia , Lu, Xiaoqiang . AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks . | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) , 6764-6774 . |
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Semantic Change Detection (SCD) in Remote Sensing Images (RSI) aims to identify changes in the type of Land Cover/Land Use (LCLU). The 'from-to' information of the acquired image has more profound practical significance than Binary Change Detection (BCD). However, most deep learning-based SCD algorithms do not fully exploit the spatial-temporal information of multilevel features, leading to challenges in extracting LCLU features in complex scenes. To address these issues, we propose a Spatial-Temporal Semantic Feature Interaction Network (STS-FINet) to improve the performance of SCD in RSI. The proposed STS-FINet comprises a Multi-Scale Feature Extraction Encoder (MS-FEE), a Transformer-based Multilevel Feature Interaction module (TML-FI), and a Multilevel Feature Fusion Decoder (ML-FFD). The MS-FEE extracts deep semantic and differential information from the RSI. The TML-FI is designed to mine the spatial-temporal information by extracting long-range dependencies and spatial information from multilevel features to improve spatial perception. Moreover, Mixed Spatial Reasoning Convolution block (MixSrc) is presented to enrich the spatial information by extracting the multiscale features, thus improving the model's capability to interpret complex scenes. Finally, ML-FFD integrates the multilevel features, resulting in the generation of the semantic change map. The effectiveness of the proposed STS-FINet is verified on two high-resolution RSI datasets. Experimental results show that the proposed STS-FINet achieves better change detection performance than SOTA methods. © 2008-2012 IEEE.
Keyword ：
Change detection Change detection Image coding Image coding Network coding Network coding
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| GB/T 7714 | Zhang, Yuhang , Zhang, Wuxia , Ding, Songtao et al. Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images [J]. | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2025 , 18 : 12090-12102 . |
| MLA | Zhang, Yuhang et al. "Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images" . | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18 (2025) : 12090-12102 . |
| APA | Zhang, Yuhang , Zhang, Wuxia , Ding, Songtao , Wu, Siyuan , Lu, Xiaoqiang . Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images . | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 2025 , 18 , 12090-12102 . |
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In recent years, the rapid development of the unmanned aerial vehicle (UAV) technology has generated a large number of aerial photography images captured by UAV. Consequently, the object detection in UAV aerial images has emerged as a recent research focus. However, due to the flexible flight heights and diverse shooting angles of UAV, two significant challenges have arisen in UAV aerial images: extreme variation in target scale and the presence of numerous small targets. To address these challenges, this article introduces a semantic information-guided fusion module specifically tailored for small targets. This module utilizes high-level semantic information to guide and align the underlying texture information, thereby enhancing the semantic representation of small targets at the feature level and subsequently improving the model's ability to detect them. In addition, this article introduces a novel global-local fusion detection strategy to strengthen the detection of small targets. We have redesigned the foreground region assembly method to address the drawbacks of previous methods that involved multiple inferences. Extensive experiments conducted on the VisDrone and UAVDT datasets demonstrate that our two self-designed modules can significantly enhance the detection capability of small targets compared with the YOLOX-M model. Our code is publicly available at: https://github.com/LearnYZZ/GLSDet.
Keyword ：
Accuracy Accuracy Assembly Assembly Autonomous aerial vehicles Autonomous aerial vehicles Decoupled head attention Decoupled head attention Detectors Detectors Feature extraction Feature extraction feature fusion feature fusion Object detection Object detection remote sensing image recognition remote sensing image recognition robust adversarial robust adversarial robustness robustness rotational object detection rotational object detection Semantics Semantics Superresolution Superresolution Technological innovation Technological innovation Transformers Transformers
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| GB/T 7714 | Chen, Yaxiong , Ye, Zhengze , Sun, Haokai et al. Global-Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images [J]. | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
| MLA | Chen, Yaxiong et al. "Global-Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images" . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63 (2025) . |
| APA | Chen, Yaxiong , Ye, Zhengze , Sun, Haokai , Gong, Tengfei , Xiong, Shengwu , Lu, Xiaoqiang . Global-Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
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Monitoring the vacuum ultraviolet (VUV) radiation from the Sun by spaceborne photodetectors is an indispensable and crucial approach in solar physics research and atmospheric photochemistry investigations. Diamond-based photodetectors are emerging as ideal candidates to replace traditional silicon-based detectors for high-selectivity and radiation hardness. Here, a vertical Schottky photodiode based on p-type high-quality single-crystal diamond is presented. By modulating the diamond surface band structure and band alignment, an ultra-short response time of only 15 ns, and a photo-to-dark current ratio greater than 105 under the reverse bias are achieved. It is the first time to study the spectral response of the diamond photodiode in the range of 260 nm to as low as 120 nm under vacuum conditions, exhibiting an ideal selective responsivity and excellent imaging capability in the VUV range. This device holds promising prospects for coupling with optomechanical systems to enable a multidimensional detection of solar VUV radiation, including imaging and spectrum.
Keyword ：
Schottky photodiode Schottky photodiode single-crystal diamond single-crystal diamond ultra-short response time ultra-short response time vacuum ultraviolet imaging vacuum ultraviolet imaging
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| GB/T 7714 | Jia, Lemin , Zhu, Siqi , Zhang, Naiji et al. Ultrafast Diamond Photodiodes for Vacuum Ultraviolet Imaging in Space-Based Applications [J]. | ADVANCED OPTICAL MATERIALS , 2025 , 13 (7) . |
| MLA | Jia, Lemin et al. "Ultrafast Diamond Photodiodes for Vacuum Ultraviolet Imaging in Space-Based Applications" . | ADVANCED OPTICAL MATERIALS 13 . 7 (2025) . |
| APA | Jia, Lemin , Zhu, Siqi , Zhang, Naiji , Lin, Zhuogeng , Cai, Wei , Cheng, Lu et al. Ultrafast Diamond Photodiodes for Vacuum Ultraviolet Imaging in Space-Based Applications . | ADVANCED OPTICAL MATERIALS , 2025 , 13 (7) . |
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For high-precision sensor applications, high dynamic range discrete-time delta-sigma modulators (DSMs) are key components. For the design of high dynamic range DSMs, the system architecture is crucial. The system requires strong in-band noise suppression for small input amplitudes and a large maximum stable amplitude (MSA) for large input amplitudes. This article presents the system design and optimization method of discrete- time delta-sigma modulator. It provides a detailed discussion on the behavior-level modeling and characteristics of low-bit and multi-bit quantizers. Additionally, design considerations of quantizers in DSM systems are analyzed. An approach for optimizing DSM systems by leveraging the properties of quantizers is proposed, along with a simple optimization case study. Potential future application scenarios are also presented. The purpose of this article is to offer design guidelines for developing well-performing DSMs systems.
Keyword ：
Delta-sigma modulator (DSM) Delta-sigma modulator (DSM) Discrete-time Discrete-time Dynamic range Dynamic range Quantizer Quantizer
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| GB/T 7714 | Peng, Ziqiang , Wei, Cong , Huang, Lijie et al. Design and optimization of discrete-time delta-sigma modulators [J]. | MICROELECTRONICS JOURNAL , 2025 , 156 . |
| MLA | Peng, Ziqiang et al. "Design and optimization of discrete-time delta-sigma modulators" . | MICROELECTRONICS JOURNAL 156 (2025) . |
| APA | Peng, Ziqiang , Wei, Cong , Huang, Lijie , Lai, Jinze , Lu, Xiaoqiang , Wei, Rongshan . Design and optimization of discrete-time delta-sigma modulators . | MICROELECTRONICS JOURNAL , 2025 , 156 . |
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Aluminum alloys are renowned for their lightweight nature, resistance to oxidation, and impressive mechanical properties. Despite these advantages, their mechanical performance deteriorates significantly in extreme environments. Herein, we present an innovative solution by developing aluminum matrix composites (AMCs) that incorporate 3D printed alumina ceramic lattices. Our investigation demonstrates a remarkable 112.4 % increase in the strength of AMCs compared to pure aluminum, with a concurrent 54.8 % improvement in modulus under identical conditions. Additionally, as the volume fraction of the ceramic lattice varies from 0.21 to 0.45, the modulus of AMCs exhibits a noteworthy increase, ranging from 96.2 to 106.5 GPa, surpassing that of pure aluminum (68.8 GPa). Notably, even at temperatures of up to 300 degrees C, the strength of the Al2O3-Al composite matrix remains stable at 477.3 MPa. X-ray computed tomography analysis elucidates that the structural integrity of these composites predominantly relies on the load-bearing capacity of the ceramic lattices, complemented by the damping effect provided by the aluminum matrix. This innovative approach not only paves the way for scalable production of high-strength metal alloys in the industrial sector but also holds promise for substantial economic opportunities in the near future.
Keyword ：
Alumina lattice Alumina lattice Aluminum matrix composites Aluminum matrix composites Stereolithography 3D printing Stereolithography 3D printing Strength Strength X-ray computed tomography X-ray computed tomography
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| GB/T 7714 | Zhu, Minmin , Deng, Caozhuang , Zhang, Zhanfeng et al. Stereolithography 3D printing ceramics for ultrahigh strength aluminum matrix composites [J]. | JOURNAL OF MANUFACTURING PROCESSES , 2025 , 139 : 126-132 . |
| MLA | Zhu, Minmin et al. "Stereolithography 3D printing ceramics for ultrahigh strength aluminum matrix composites" . | JOURNAL OF MANUFACTURING PROCESSES 139 (2025) : 126-132 . |
| APA | Zhu, Minmin , Deng, Caozhuang , Zhang, Zhanfeng , Yang, Dan , Zhang, Haizhong , Wang, Linghua et al. Stereolithography 3D printing ceramics for ultrahigh strength aluminum matrix composites . | JOURNAL OF MANUFACTURING PROCESSES , 2025 , 139 , 126-132 . |
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Radio tomographic Imaging (RTI) provides high-precision localization of targets in a monitoring area by exploiting the relationship between target location and radio link attenuation. Most recent RTI approaches leverage pre-processing and data-driven strategies to improve the accuracy of moving targets. However, these approaches suffer from limitations such as training time and low frame rate, which constrain RTI to quickly and accurately localize the moving target. To address these limitations, we develop a coarse-to-fine RTI (CF-RTI) system that achieves a maximum frame rate of 29 frames per second (fps), surpassing the minimum requirement of 16 fps for a typical RGB camera while maintaining remarkable accuracy and resolution. First, CF-RTI enables high frame rate imaging by constructing a visual fingerprint database that establishes connections between target locations and potentially affected links, thereby enabling multi-step acquisition, reconstruction, and estimation. Second, the multi-step processing exploits the knowledge gained from localization efforts during acquisition processing, enabling high-quality imaging by rapidly identifying and collecting measurements from the target's affected links. Finally, the experimental results show that our CF-RTI can achieve centimeter-level positioning accuracy and a maximum frame rate of 29 fps while using only 9% of the traditional RTI measurements. The maximum frame rate of our CF-RTI is comparable to that of standard RGB cameras. These results suggest that our CF-RTI has excellent potential for implementing RTI techniques in real-world scenarios.
Keyword ：
Alternating direction method of multiplier Alternating direction method of multiplier coarse-to-fine coarse-to-fine Device-free localization Device-free localization Fingerprint recognition Fingerprint recognition Fresnel reflection Fresnel reflection fresnel zone fresnel zone Image reconstruction Image reconstruction Imaging Imaging Location awareness Location awareness Measurement uncertainty Measurement uncertainty Radio links Radio links radio tomographic imaging (RTI) radio tomographic imaging (RTI)
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| GB/T 7714 | Qian, Hui , Zhang, Shuo , Yu, Yuxin et al. Video-Rate Radio Tomographic Imaging With Virtual Fingerprint [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2025 , 74 (2) : 3141-3156 . |
| MLA | Qian, Hui et al. "Video-Rate Radio Tomographic Imaging With Virtual Fingerprint" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 74 . 2 (2025) : 3141-3156 . |
| APA | Qian, Hui , Zhang, Shuo , Yu, Yuxin , Lu, Xiaoqiang . Video-Rate Radio Tomographic Imaging With Virtual Fingerprint . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2025 , 74 (2) , 3141-3156 . |
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In hyperspectral images (HSIs), different land cover (LC) classes have distinct reflective characteristics at various wavelengths. Therefore, relying on only a few bands to distinguish all LC classes often leads to information loss, resulting in poor average accuracy. To address this problem, we propose a method called Cascaded Spatial Cross-Attention Network (CSCANet) for HSI classification. We design a cascaded spatial cross-attention module, which first performs cross-attention on local and global features in the spatial context, then uses a group cascade structure to sequentially propagate important spatial regions within the different channels, and finally obtains joint attention features to improve the robustness of the network. Moreover, we also design a two-branch feature separation structure based on spatial-spectral features to separate different LC Tokens as much as possible, thereby improving the distinguishability of different LC classes. Extensive experiments demonstrate that our method achieves excellent performance in enhancing classification accuracy and robustness.
Keyword ：
Accuracy Accuracy Artificial intelligence Artificial intelligence Data mining Data mining Feature extraction Feature extraction group cascade structure group cascade structure Hyperspectral image classification Hyperspectral image classification Hyperspectral imaging Hyperspectral imaging Image classification Image classification Reflectivity Reflectivity spatial cross-attention spatial cross-attention spatial-spectral feature extraction spatial-spectral feature extraction Sun Sun Technological innovation Technological innovation Transformers Transformers
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| GB/T 7714 | Zhang, Bo , Chen, Yaxiong , Xiong, Shengwu et al. Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network [J]. | IEEE TRANSACTIONS ON IMAGE PROCESSING , 2025 , 34 : 899-913 . |
| MLA | Zhang, Bo et al. "Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network" . | IEEE TRANSACTIONS ON IMAGE PROCESSING 34 (2025) : 899-913 . |
| APA | Zhang, Bo , Chen, Yaxiong , Xiong, Shengwu , Lu, Xiaoqiang . Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network . | IEEE TRANSACTIONS ON IMAGE PROCESSING , 2025 , 34 , 899-913 . |
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Remote sensing image-text retrieval (RSITR) is a cross-modal task that integrates visual and textual information, attracting significant attention in remote sensing research. Remote sensing images typically contain complex scenes with abundant details, presenting significant challenges for accurate semantic alignment between images and texts. Despite advances in the field, achieving precise alignment in such intricate contexts remains a major hurdle. To address this challenge, this article introduces a novel context-aware local-global semantic alignment (CLGSA) method. The proposed method consists of two key modules: the local key feature alignment (LKFA) module and the cross-sample global semantic alignment (CGSA) module. The LKFA module incorporates a local image masking and reconstruction task to improve the alignment between image and text features. Specifically, this module masks certain regions of the image and uses text context information to guide the reconstruction of the masked areas, enhancing the alignment of local semantics and ensuring more accurate retrieval of region-specific content. The CGSA module employs a hard sample triplet loss to improve global semantic consistency. By prioritizing difficult samples during training, this module refines feature space distributions, helping the model better capture global semantics across the entire image-text pair. A series of extensive experiments demonstrates the effectiveness of the proposed method. The method achieves an mR score of 32.07% on the RSICD dataset and 46.63% on the RSITMD dataset, outperforming baseline methods and confirming the robustness and accuracy of the approach.
Keyword ：
Accuracy Accuracy Cross modal retrieval Cross modal retrieval Feature extraction Feature extraction Hard sample triplet loss Hard sample triplet loss Image reconstruction Image reconstruction local image masking local image masking Remote sensing Remote sensing remote sensing image-text retrieval (RSITR) remote sensing image-text retrieval (RSITR) semantic alignment semantic alignment Semantics Semantics Sensors Sensors text-guided reconstruction text-guided reconstruction Training Training Transformers Transformers Visualization Visualization
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| GB/T 7714 | Chen, Xiumei , Zheng, Xiangtao , Lu, Xiaoqiang . Context-Aware Local-Global Semantic Alignment for Remote Sensing Image-Text Retrieval [J]. | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
| MLA | Chen, Xiumei et al. "Context-Aware Local-Global Semantic Alignment for Remote Sensing Image-Text Retrieval" . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63 (2025) . |
| APA | Chen, Xiumei , Zheng, Xiangtao , Lu, Xiaoqiang . Context-Aware Local-Global Semantic Alignment for Remote Sensing Image-Text Retrieval . | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 2025 , 63 . |
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Optimized inductively coupled plasma (ICP) etching process can improve the surface quality of (1-Ga2O3 thin film to enhance the power figure of merit of (1-Ga2O3 Schottky barrier diodes (SBDs). However, the mechanism of surface quality improvement of ICP etching is not yet clear. In this letter, we verified that the surface qualities of (1-Ga2O3 SBDs could be modified by varying the ratios of BCl3 and Ar etching plasmas. Moreover, electrical performance tests were conducted to verify that the improved surface quality can enhance the electrical properties. Benefitted from the high surface quality of (1-Ga2O3 epitaxial layer, the (1-Ga2O3 SBD without termination structure exhibits a low specific on-resistance (Ron,sp) of 4 m Omega & sdot;cm2 and high breakdown voltage (BV) of 1500 V. These results can pave the way for the preparation of high-performance (1-Ga2O3 power SBDs.
Keyword ：
Beta-phase gallium oxide Beta-phase gallium oxide Inductively coupled plasma etching Inductively coupled plasma etching Schottky barrier diode Schottky barrier diode Surface quality Surface quality
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| GB/T 7714 | Deng, Yicong , Chen, Desen , Li, Titao et al. Surface quality improvement mechanism of ICP etching for Ga2O3 Schottky barrier diode [J]. | MICRO AND NANOSTRUCTURES , 2025 , 199 . |
| MLA | Deng, Yicong et al. "Surface quality improvement mechanism of ICP etching for Ga2O3 Schottky barrier diode" . | MICRO AND NANOSTRUCTURES 199 (2025) . |
| APA | Deng, Yicong , Chen, Desen , Li, Titao , Zhu, Minmin , Xu, Xiaorui , Zhang, Haizhong et al. Surface quality improvement mechanism of ICP etching for Ga2O3 Schottky barrier diode . | MICRO AND NANOSTRUCTURES , 2025 , 199 . |
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