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学者姓名：卢孝强
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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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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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Remote Sensing Visual Grounding (RSVG) is an emerging multimodal RS task that involves grounding textual descriptions to specific objects in remote sensing images. Previous methods often overlook the impact of complex backgrounds and similar geographic entities during feature extraction, which may confuse target features and cause performance bottlenecks. Moreover, remote sensing scenes include extensive surface information, much of which contributes little to the reasoning of the target object. This redundancy not only increases the computational burden but also impairs decoding efficiency. To this end, we propose the Context-driven Sparse Decoding Network (CSDNet) for accurate grounding through multimodal context-aware feature extraction and text-guided sparse reasoning. To alleviate target feature confusion, a Text-aware Fusion Module (TFM) is introduced to refine the visual features using textual cues related to the image context. In addition, a Context-enhanced Interaction Module (CIM) is proposed to harmonize the differences between remote sensing images and text by modeling multimodal contexts. To tackle surface information redundancy, a Text-guided Sparse Decoder (TSD) is developed, which decouples image resolution from reasoning complexity by performing sparse sampling under text guidance. Extensive experiments on DIOR-RSVG, OPT-RSVG, and VRSBench benchmarks demonstrate the effectiveness of CSDNet. Remarkably, CSDNet utilizes only 5.12% of the visual features in performing cross-modal reasoning about the target object. The code is available at https://github.com/WUTCM-Lab/CSDNet. © 2025
Keyword ：
Decoding Decoding Image coding Image coding Information fusion Information fusion
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| GB/T 7714 | Zhao, Yichen , Chen, Yaxiong , Yao, Ruilin et al. Context-driven and sparse decoding for Remote Sensing Visual Grounding [J]. | Information Fusion , 2025 , 123 . |
| MLA | Zhao, Yichen et al. "Context-driven and sparse decoding for Remote Sensing Visual Grounding" . | Information Fusion 123 (2025) . |
| APA | Zhao, Yichen , Chen, Yaxiong , Yao, Ruilin , Xiong, Shengwu , Lu, Xiaoqiang . Context-driven and sparse decoding for Remote Sensing Visual Grounding . | Information Fusion , 2025 , 123 . |
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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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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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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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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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The proliferation of intelligent connected vehicles and related applications with computation-intensive tasks has boosted a pivotal requirement for the unprecedented low latency and high throughput of the Internet-of-Vehicle (IoV). Rate-splitting multiple access (RSMA) has emerged as a promising technology for achieving high spectral efficiency and maintaining reliable connectivity in mobile scenes. Inspired by the idea of distributed computing, an RSMA-assisted distributed computation offloading scheme (RDCOS) in vehicular networks is designed, where various computation auxiliary nodes (CANs) are introduced in a stochastic geometry approach to alleviate the computation dilemma of the task vehicle. After analyzing the CAN pairing and the successful accessing probability (SAP), the total offloaded tasks maximization problem of the task vehicle is investigated. Then a successive convex approximation (SCA)-based computation offloading optimization algorithm (SCOOA) is developed to obtain the solution. The results of the performance evaluation not only verify the plausibility of the proposed model but also indicate that the RSMA can significantly promote the total offloaded tasks under moving conditions, which confirms the superiority of the proposed scheme through simulations. © 1967-2012 IEEE.
Keyword ：
distributed computation offloading distributed computation offloading Internet of Vehicles (IoV) Internet of Vehicles (IoV) rate-splitting multiple access (RSMA) rate-splitting multiple access (RSMA) stochastic geometry stochastic geometry
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| GB/T 7714 | Lin, Z. , Xiao, Y. , Lu, X. et al. RSMA-Assisted Distributed Computation Offloading in Vehicular Networks based on Stochastic Geometry [J]. | IEEE Transactions on Vehicular Technology , 2025 , 74 (6) : 10047-10051 . |
| MLA | Lin, Z. et al. "RSMA-Assisted Distributed Computation Offloading in Vehicular Networks based on Stochastic Geometry" . | IEEE Transactions on Vehicular Technology 74 . 6 (2025) : 10047-10051 . |
| APA | Lin, Z. , Xiao, Y. , Lu, X. , Wu, C. , Wu, W. . RSMA-Assisted Distributed Computation Offloading in Vehicular Networks based on Stochastic Geometry . | IEEE Transactions on Vehicular Technology , 2025 , 74 (6) , 10047-10051 . |
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在我国统筹实施科教兴国战略、人才强国战略、创新驱动发展战略,以及一体推进教育发展、科技创新、人才培养政策的引领与驱动下,高校、企业与科研院所之间的协同育人机制已经从最初的倡议和试点阶段,逐渐迈向了落地实施和深入发展时期.科教融合与产教融合协同育人模式将得到进一步的深化,主要体现在培养主体的多元化、培养层次的提升、培养机制的优化以及培养方式的创新与升级等多个方面.以福州大学物理与信息工程学院为例,针对电子信息领域国家技术和人才战略需求,探索重点高校、头部企业和科研机构通过设立定制化专班、共建科研平台、面向头部企业定向就业、共同举办学术交流论坛、共建导师团队、共同评价培养质量等方式实施研究生培养,打造全要素融合研究生培养新范式,着力实现创新型高层次人才自主培养.
Keyword ：
产教融合 产教融合 校企联合专班 校企联合专班 研究生培养 研究生培养 科教融合 科教融合
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| GB/T 7714 | 杨晓丹 , 柯颖莹 , 郑志刚 et al. 全要素融合的研究生产学研协同培养机制构建研究 [J]. | 中国高校科技 , 2025 , (2) : 93-96 . |
| MLA | 杨晓丹 et al. "全要素融合的研究生产学研协同培养机制构建研究" . | 中国高校科技 2 (2025) : 93-96 . |
| APA | 杨晓丹 , 柯颖莹 , 郑志刚 , 魏金明 , 卢孝强 , 李福山 . 全要素融合的研究生产学研协同培养机制构建研究 . | 中国高校科技 , 2025 , (2) , 93-96 . |
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This paper describes the analysis and design of a discrete-time (DT) fully dynamic 3-0 multi-stage noise-shaping (MASH) delta-sigma (Delta Sigma) analog-to-digital converter (ADC). Through system-level analysis, error source analysis, nonlinearity analysis and modeling of the integrators, and detailed considerations for circuit implementation, the trade-offs between design parameters in the 3-0 MASH Delta Sigma ADC were evaluated. The proposed ADC is fabricated and measured in a 180 nm CMOS process, achieving a DR, peak SNDR, and SFDR of 100.2 dB, 98.5 dB, and 116.7 dB, respectively, within a 2.56 kHz bandwidth, consuming only 20.1 mu W. As a result, the Schreier figure-of-merit (FoM) for SNDR and DR are 179.6 dB and 181.3 dB, respectively. The measurement results of the prototype 3-0 MASH Delta Sigma ADC closely matched the theoretical predictions. This consistency between the measurements and the theoretical analysis confirms the reliability of the design approach in achieving the expected performance.
Keyword ：
Active filters Active filters analog-to-digital converter (ADC) analog-to-digital converter (ADC) Circuits Circuits delta-sigma (Delta Sigma) delta-sigma (Delta Sigma) Digital filters Digital filters discrete-time (DT) discrete-time (DT) Energy efficiency Energy efficiency Gain Gain Multi-stage noise shaping Multi-stage noise shaping Multi-stage noise-shaping (MASH) Multi-stage noise-shaping (MASH) Noise Noise Power demand Power demand Quantization (signal) Quantization (signal) Transfer functions Transfer functions
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| GB/T 7714 | Wei, Cong , Huang, Lijie , Wei, Rongshan et al. Analysis and Design of a Discrete-Time 3-0 MASH Delta-Sigma ADC With 100.2 dB Dynamic Range [J]. | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , 2025 . |
| MLA | Wei, Cong et al. "Analysis and Design of a Discrete-Time 3-0 MASH Delta-Sigma ADC With 100.2 dB Dynamic Range" . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2025) . |
| APA | Wei, Cong , Huang, Lijie , Wei, Rongshan , Lu, Xiaoqiang , Tan, Zhichao . Analysis and Design of a Discrete-Time 3-0 MASH Delta-Sigma ADC With 100.2 dB Dynamic Range . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS , 2025 . |
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