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学者姓名：陈平平
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在复杂自然场景的端到端文本识别中，由于文本和背景难以区分，文本检测的位置信息和识别的语义信息不匹配，无法有效利用检测和识别之间的相关性. 针对该问题，本文提出双域感知下多方显式信息协同的自然场景端到端文本识别方法（Multi-party Synergetic explicit Information with Dual-domain Awareness text spotting，MSIDA），通过强化文本区域特征和边缘纹理，利用文本检测和识别特征之间的协同作用提高端到端文本识别性能. 首先，设计融合文本空间和方向信息的双域感知模块（Dual-Domain Awareness，DDA），增强文本实例的视觉特征信息；其次，提出多方显式信息协同模块（Multi-party Explicit Information Synergy，MEIS）提取编码特征中的显式信息，通过匹配对齐用于检测和识别的位置、分类和字符多方信息生成候选文本实例；最后，协同特征通过解码器引导可学习的查询序列获得文本检测和识别的结果 . 相比最新的 DeepSolo（Decoder with explicit points Solo，DeepSolo）方法，在 Total-Text、ICDAR 2015 和 CTW1500 数据集上，MSIDA 模型的准确率分别提升 0.8%、0.8% 和 0.4%. 代码和数据集在 https：//github. com/msida2024/MSIDA. git可以获取.
Keyword ：
场景文本图像 场景文本图像 文本检测 文本检测 特征信息关联 特征信息关联 端到端文本识别 端到端文本识别 计算机视觉 计算机视觉
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| GB/T 7714 | 陈平平 , 林 虎 , 陈宏辉 et al. 双域感知下多方显式信息协同的 场景端到端文本识别 [J]. | 电子学报 , 2025 . |
| MLA | 陈平平 et al. "双域感知下多方显式信息协同的 场景端到端文本识别" . | 电子学报 (2025) . |
| APA | 陈平平 , 林 虎 , 陈宏辉 , 谢肇鹏 . 双域感知下多方显式信息协同的 场景端到端文本识别 . | 电子学报 , 2025 . |
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Mobile edge caching (MEC) has emerged as a promising and economical solution to complement conventional infrastructure caching. Nonetheless, the vulnerability of vehicle-to-vehicle (V2V) links causes connection loss and limits data exchange. On the other hand, the traditional content popularity-based request model would lead to lower cache hit ratios and increased content retrieval times. To tackle this issue, a novel scheme of MEC-assisted public vehicular network is proposed in this study, where the random linear network coding (RLNC) based caching strategy is applied to allow public vehicles to simultaneously obtain coded blocks from multiple vehicles and infrastructures on the move. Besides, a content request model that considers content popularity, historical interest, and social attributes is explored. A cost minimization problem is formulated under the proposed scheme, which is a highly non-trivial stochastic problem. To this end, the data volume of V2V offloading is obtained by a divide and conquer (DC) algorithm, and then the caching strategy is derived by a heuristic-based algorithm. Finally, extensive simulations show that the proposed content model can achieve a higher local offloading ratio and the proposed scheme has a much lower cost compared to the baselines.
Keyword ：
Content request model Content request model Mobile edge caching Mobile edge caching Public vehicular networks Public vehicular networks V2V offloading V2V offloading
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| GB/T 7714 | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao et al. Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks [J]. | MOBILE NETWORKS & APPLICATIONS , 2025 . |
| MLA | Chen, Xiaopei et al. "Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks" . | MOBILE NETWORKS & APPLICATIONS (2025) . |
| APA | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao , Chen, Feng , Chen, Pingping . Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks . | MOBILE NETWORKS & APPLICATIONS , 2025 . |
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With the rapid development of mobile networks and devices, real-time video transmission has become increasingly important worldwide. Constrained by the bandwidth limitations of single networks, extensive research has shifted towards video transmission in multi-network environments. However, differences in bandwidth and latency in heterogeneous networks (such as LTE and Wi-Fi) lead to high latency and packet loss issues, severely affecting video quality and user experience. This paper proposes a Forward Error Correction (FEC)-based Low-Delay Multipath Scheduling algorithm (LDMP-FEC). This algorithm combines the Gilbert model with a continuous Markov chain to adaptively adjust FEC redundancy, thereby enhancing data integrity. Through the FEC Recovery Priority Scheduling (FEC-RPS) algorithm, it dynamically optimizes the transmission order of data packets, reducing the number of out-of-order packets (OFO-packets) and end-to-end latency. Experimental results show that LDMP-FEC significantly reduces the number of out-of-order packets in heterogeneous network environments, improving performance by 50% compared to the round-robin and MinRtt algorithms, while maintaining end-to-end latency within 150 ms. Under various packet loss conditions, LDMP-FEC sustains a playable frame rate (PFR) above 90% and a Peak Signal-to-Noise Ratio (PSNR) exceeding 35 dB, providing an efficient and reliable solution for real-time video and other low-latency applications.
Keyword ：
FEC FEC heterogeneous networks heterogeneous networks multipath multipath OFO-packets OFO-packets round robin round robin video transmission video transmission
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| GB/T 7714 | Gao, Tingjin , Chen, Feng , Chen, Pingping . LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks [J]. | ELECTRONICS , 2025 , 14 (3) . |
| MLA | Gao, Tingjin et al. "LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks" . | ELECTRONICS 14 . 3 (2025) . |
| APA | Gao, Tingjin , Chen, Feng , Chen, Pingping . LDMP-FEC: A Real-Time Low-Latency Scheduling Algorithm for Video Transmission in Heterogeneous Networks . | ELECTRONICS , 2025 , 14 (3) . |
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传统的可重构智能表面辅助的空间调制(RIS-SM)通信系统利用接收天线的索引来传输额外的信息比特，因此该系统数据传输速率的提升是以增加接收机天线数为代价。为了提高RIS-SM系统的数据传输速率和能量效率，该文提出可重构智能表面辅助的联合空间和码索引调制(RIS-JSCIM)通信系统。该系统利用多元正交幅度调制(M-QAM)符号、空域的接收天线索引和码索引传输信息比特。天线索引和码索引传输的信息比特不需要消耗能量，因此RIS-JSCIM系统能够获得良好的能量效率。该文对比了RIS-JSCIM系统和其他系统的能量效率、系统复杂度和误码率性能。对比结果表明，所提RIS-JSCIM系统以增加一定复杂度为代价，能够获得相比于其他系统更优异的能量效率和误码率性能。
Keyword ：
可重构智能表面 可重构智能表面 多元正交振幅调制 多元正交振幅调制 扩频 扩频 码索引调制 码索引调制 空间调制 空间调制
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| GB/T 7714 | 陈平平 , 张云馨 , 杜伟庆 . 可重构智能表面辅助的联合空间和码索引调制通信系统 [J]. | 电子与信息学报 , 2025 , 47 (2) : 1-10 . |
| MLA | 陈平平 et al. "可重构智能表面辅助的联合空间和码索引调制通信系统" . | 电子与信息学报 47 . 2 (2025) : 1-10 . |
| APA | 陈平平 , 张云馨 , 杜伟庆 . 可重构智能表面辅助的联合空间和码索引调制通信系统 . | 电子与信息学报 , 2025 , 47 (2) , 1-10 . |
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As a new-generation video coding standard, Alliance for Open Media Video 1 (AV1) introduces flexible and diverse block partition types to improve coding efficiency, but also increases coding complexity. To address this issue, we propose a low-complexity AV1 intra prediction algorithm using Long-edge Sparse Sampling (LSS) and Chroma Migrating from Luma (CML) for efficiently encoding video sequences. First, we develop an LSS method by selecting key reference pixels based on block partition condition to reduce computational complexity. Second, we exploit a CML algorithm which combines the angle mode of the luma component and the spatial correlations of chroma components to derive more accurate linear model parameters between the luma and chroma components. Experimental results show that LSS avoids division operations, reducing 93% of addition operations. Combined with CML, our approach saves 4.97% time and enhances coding performance compared to standard AV1, particularly improving chroma component quality. © 2025
Keyword ：
Image coding Image coding NP-hard NP-hard Special effects Special effects Video streaming Video streaming
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| GB/T 7714 | Huang, Wanwei , Xie, Xuan , Chen, Yu et al. Low-complexity AV1 intra prediction algorithm [J]. | Journal of Visual Communication and Image Representation , 2025 , 110 . |
| MLA | Huang, Wanwei et al. "Low-complexity AV1 intra prediction algorithm" . | Journal of Visual Communication and Image Representation 110 (2025) . |
| APA | Huang, Wanwei , Xie, Xuan , Chen, Yu , Wang, Baotu , Chen, Jian , Chen, Pingping . Low-complexity AV1 intra prediction algorithm . | Journal of Visual Communication and Image Representation , 2025 , 110 . |
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Both massive multiple-input and multiple-output (MIMO) and physical-layer network coding (PNC) techniques can effectively improve the network throughput. However, for PNC-aided massive MIMO systems, the high-order modulations superimposed at the relay particularly bring computational burden and performance degradation to the signal detection. Thus, this letter proposes an iterative MIMO-PNC detector from double expectation propagation (DEP) as a high-accuracy solution in this large-scale system. By exploiting the PNC characteristic, the summation and difference (SD) information of the user pair messages are first linearly formed and iteratively updated between the DEP detector and the channel decoder. Simulation results show that the proposed iterative method can achieve significant performance gains of 2 dB in various massive MIMO systems, as compared to the non-iterative one and traditional linear minimum mean square error (LMMSE) detector.
Keyword ：
Iterative decoding Iterative decoding massive MIMO massive MIMO physical-layer network coding physical-layer network coding
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| GB/T 7714 | Zeng, Hanxin , Xie, Zhaopeng , Chen, Pingping et al. Expectation Propagation Detection With Physical Network Coding for Massive MIMO Systems [J]. | IEEE SIGNAL PROCESSING LETTERS , 2024 , 31 : 41-45 . |
| MLA | Zeng, Hanxin et al. "Expectation Propagation Detection With Physical Network Coding for Massive MIMO Systems" . | IEEE SIGNAL PROCESSING LETTERS 31 (2024) : 41-45 . |
| APA | Zeng, Hanxin , Xie, Zhaopeng , Chen, Pingping , Fang, Yi . Expectation Propagation Detection With Physical Network Coding for Massive MIMO Systems . | IEEE SIGNAL PROCESSING LETTERS , 2024 , 31 , 41-45 . |
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In this article, we propose a polarization-aided polar coding scheme over nonorthogonal multiple access channels operated with physical-layer network coding (PN-NOMA), where $M$ users adopt polar coding for transmission. By exploiting the characteristic of physical-layer network coding and polar encoding, we found that the polar code at the users can be seen as nested codes and subcodeword of a larger polar code. It enables us to construct a single (virtual) polar code at the receiver, which has the length M times longer than that of the original user codes. In this way, we can decode all the user messages within this single polar code. The channel polarization effect as well as the decoding performance can be improved. We further propose a Monte Carlo-based code construction for the virtual polar code with user channel coefficients, and short nested user codes can be individually derived from this code. Simulation results show that the proposed PN-NOMA can achieve significant performance gains of more than 0.5 dB as compared to conventional polar-coded NOMA (PC-NOMA) over power-imbalanced channels, and this gain is more than 2 dB over Rayleigh fading channels.
Keyword ：
Channel coefficients Channel coefficients channel polarization effect channel polarization effect Codes Codes Decoding Decoding Encoding Encoding Gain Gain NOMA NOMA nonorthogonal multiple access (NOMA) nonorthogonal multiple access (NOMA) physical layer network coding physical layer network coding Polar codes Polar codes polar coding polar coding Receivers Receivers
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| GB/T 7714 | Xie, Zhaopeng , Chen, Pingping , Fang, Yi et al. Polarization-Aided Coding for Nonorthogonal Multiple Access [J]. | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (17) : 27894-27903 . |
| MLA | Xie, Zhaopeng et al. "Polarization-Aided Coding for Nonorthogonal Multiple Access" . | IEEE INTERNET OF THINGS JOURNAL 11 . 17 (2024) : 27894-27903 . |
| APA | Xie, Zhaopeng , Chen, Pingping , Fang, Yi , Chen, Qiwang . Polarization-Aided Coding for Nonorthogonal Multiple Access . | IEEE INTERNET OF THINGS JOURNAL , 2024 , 11 (17) , 27894-27903 . |
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In this paper, we propose a deep learning-based sparse code multiple access multi-user multi-carrier differential chaos shift keying (DL-SCMA-MU-MC-DCSK) system, for the sake of improving the spectrum efficiency (SE) and bit-to-error (BER) performance. In the proposed system, the transmitted symbols of each user are mapped to complex codewords which are randomly generated from a complex normal distribution, and the codewords overlap on sub-carriers in a non-orthogonal way for the sparsity. Subsequently, the real and imaginary parts of the resultant complex codewords are modulated by the chaotic signal and its Hilbert-transform version, respectively. At the receiver, after correlation demodulation, a deep learning-based decorder consisting of deep neural network (DNN) is adopted to recover the transmitted data. We also compare the SE, energy efficiency (EE), and complexity with benchmark systems. Simulation results demonstrate the superiority of the proposed system in terms of bit-error-rate (BER) performance. Therefore, the proposed DL-SCMA-MU-MC-DCSK system represents a remarkable solution for low-power and cost-effective short-range wireless communication.
Keyword ：
Chaotic communication Chaotic communication Codes Codes Decoding Decoding Deep neural network (DNN) Deep neural network (DNN) multi-carrier differential chaos shift keying multi-carrier differential chaos shift keying OFDM OFDM Receivers Receivers sparse code multiple access sparse code multiple access Symbols Symbols Wireless communication Wireless communication
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| GB/T 7714 | Duan, Chao , Fang, Yi , Ma, Huan et al. An Enhanced Multi-User Differential Chaos Shift Keying System With Intelligent Sparse Code Multiple Access [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (12) : 19850-19854 . |
| MLA | Duan, Chao et al. "An Enhanced Multi-User Differential Chaos Shift Keying System With Intelligent Sparse Code Multiple Access" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73 . 12 (2024) : 19850-19854 . |
| APA | Duan, Chao , Fang, Yi , Ma, Huan , Chen, Pingping , Dou, Qinjian . An Enhanced Multi-User Differential Chaos Shift Keying System With Intelligent Sparse Code Multiple Access . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (12) , 19850-19854 . |
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To improve the energy efficiency and the data rate in differential chaos shift keying (DCSK) based ambient backscatter communication (AmBC) system, we propose a new AmBC system based on code index modulation (CIM), referred to as CIM-DCSK-AmBC system. In the proposed system, the CIM-DCSK signal transmitted in the direct link is used as the radio frequency source of the backscatter link. The signal format in the backscatter link is designed to increase the data rate as well as eliminate the interference of the direct link signal. As such, the direct link signal and the backscatter link signal can be received and demodulated simultaneously. Moreover, we derive and validate the analytical bit error rate (BER) expressions of the CIM-DCSK-AmBC system over cascaded multipath Rayleigh fading channels. Regarding the short reference DCSK-based AmBC (SR-DCSK-AmBC) system as a benchmark system, numerical results reveal that the CIM-DCSK-AmBC system can achieve better BER performance in the direct link and higher throughput in the backscatter link than the benchmark system.
Keyword ：
Ambient backscatter communication (AmBC) Ambient backscatter communication (AmBC) Backscatter Backscatter Bit error rate Bit error rate code index modulation code index modulation Codes Codes Delays Delays differential chaos shift keying (DCSK) differential chaos shift keying (DCSK) Indexes Indexes Interference Interference Symbols Symbols
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| GB/T 7714 | Yang, Ruipeng , Fang, Yi , Chen, Pingping et al. Design of a New CIM-DCSK-Based Ambient Backscatter Communication System [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (12) : 19832-19837 . |
| MLA | Yang, Ruipeng et al. "Design of a New CIM-DCSK-Based Ambient Backscatter Communication System" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73 . 12 (2024) : 19832-19837 . |
| APA | Yang, Ruipeng , Fang, Yi , Chen, Pingping , Ma, Huan . Design of a New CIM-DCSK-Based Ambient Backscatter Communication System . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (12) , 19832-19837 . |
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For moving cameras, the video content changes significantly, which leads to inaccurate prediction in traditional inter prediction and results in limited compression efficiency. To solve these problems, first, we propose a camera pose-based background modeling (CP-BM) framework that uses the camera motion and the textures of reconstructed frames to model the background of the current frame. Compared with the reconstructed frames, the predicted background frame generated by CP-BM is more geometrically similar to the current frame in position and is more strongly correlated with it at the pixel level; thus, it can serve as a higher-quality reference for inter prediction, and the compression efficiency can be improved. Second, to compensate the motion of the background pixels, we construct a pixel-level motion vector field that can accurately describe various complex motions with only a small overhead. Our method is more general than other motion models because it has more degrees of freedom, and when the degrees of freedom are decreased, it encompasses other motion models as special cases. Third, we propose an optical flow-based depth estimation (OF-DE) method to synchronize the depth information at the codec, which is used to build the motion vector field. Finally, we integrate the overall scheme into the High Efficiency Video Coding (HEVC) and Versatile Video Coding (VVC) reference software HM-16.7 and VTM-10.0. Experimental results demonstrate that in HM-16.7, for in-vehicle video sequences, our solution has an average Bj & oslash;ntegaard delta bit rate (BD-rate) gain of 8.02% and reduces the encoding time by 20.9% due to the superiority of our scheme in motion estimation. Moreover, in VTM-10.0 with affine motion compensation (MC) turned off and turned on, our method has average BD-rate gains of 5.68% and 0.56%, respectively.
Keyword ：
background modeling background modeling Bit rate Bit rate camera pose camera pose Cameras Cameras Computational modeling Computational modeling Encoding Encoding Estimation Estimation moving cameras moving cameras Predictive models Predictive models Video coding Video coding
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| GB/T 7714 | Fang, Zheng , Zheng, Mingkui , Chen, Pingping et al. Camera Pose-Based Background Modeling for Video Coding in Moving Cameras [J]. | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY , 2024 , 34 (5) : 4054-4069 . |
| MLA | Fang, Zheng et al. "Camera Pose-Based Background Modeling for Video Coding in Moving Cameras" . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 34 . 5 (2024) : 4054-4069 . |
| APA | Fang, Zheng , Zheng, Mingkui , Chen, Pingping , Chen, Zhifeng , Oliver Wu, Dapeng . Camera Pose-Based Background Modeling for Video Coding in Moving Cameras . | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY , 2024 , 34 (5) , 4054-4069 . |
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