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| 1 | Compressed sensing SAR imaging based on sparse representation in fractional Fourier domain显示文摘Compressed sensing(CS)is a new technique of utilizing a priori knowledge on sparsity of data in a certain domain for minimizing necessary number of measurements.Based on this idea,this paper proposes a novel synthetic aperture radar(SAR)imaging approach by exploiting sparseness of echo data in the fractional Fourier domain.The effectiveness and robustness of the approach are assessed by some numerical experiments under various noisy conditions and different measurement matrices.Experimental results have shown that,the obtained images by using the CS technique depend on measurement matrix and have higher output signal to noise ratio than traditional pulse compression technique.Finally simulated and real data are also processed and the achieved results show that the proposed approach is capable of reconstructing the image of targets and effectively suppressing noise. | BU HongXia BAI Xia TAO Ran | 2012 | Science China(Information Sciences)2012，55，8： | 12 |
| 2 | STGSA:A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction显示文摘The success of intelligent transportation systems relies heavily on accurate traffic prediction,in which how to model the underlying spatial-temporal information from traffic data has come under the spotlight.Most existing frameworks typically utilize separate modules for spatial and temporal correlations modeling.However,this stepwise pattern may limit the effectiveness and efficiency in spatial-temporal feature extraction and cause the overlook of important information in some steps.Furthermore,it is lacking sufficient guidance from prior information while modeling based on a given spatial adjacency graph(e.g.,deriving from the geodesic distance or approximate connectivity),and may not reflect the actual interaction between nodes.To overcome those limitations,our paper proposes a spatial-temporal graph synchronous aggregation(STGSA)model to extract the localized and long-term spatial-temporal dependencies simultaneously.Specifically,a tailored graph aggregation method in the vertex domain is designed to extract spatial and temporal features in one graph convolution process.In each STGSA block,we devise a directed temporal correlation graph to represent the localized and long-term dependencies between nodes,and the potential temporal dependence is further fine-tuned by an adaptive weighting operation.Meanwhile,we construct an elaborated spatial adjacency matrix to represent the road sensor graph by considering both physical distance and node similarity in a datadriven manner.Then,inspired by the multi-head attention mechanism which can jointly emphasize information from different r epresentation subspaces,we construct a multi-stream module based on the STGSA blocks to capture global information.It projects the embedding input repeatedly with multiple different channels.Finally,the predicted values are generated by stacking several multi-stream modules.Extensive experiments are constructed on six real-world datasets,and numerical results show that the proposed STGSA model significantly outperforms the benchmarks. | Zebing Wei Hongxia Zhao Zhishuai Li Xiaojie Bu Yuanyuan Chen Xiqiao Zhang Yisheng Lv Fei-Yue Wang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 1 |
| 3 | Purification, characterization and gene cloning of a novel phospholipase A 2 from the venom of Agkistrodon blomhoffii ussurensis显示文摘 | Yongming Bao Pengcheng Bu Liji Jin Wang Hongxia Qing Yang Lijia An | 2004 | International Journal of Biochemistry and Cell Biology2004，，3： | 1 |
| 4 | A novel SAR imaging algorithm based on compressed sensing显示文摘 | BU Hongxia TAO Ran BAI Xia | 2015 | IEEE Geoscience and Remote Sensing Letters2015，12，5： | 1 |
| 5 | The roles of electrons in the electronic structures and optical properties of graphyne显示文摘The electronic structures and optical properties of graphyne consisting of sp-and sp 2-hybridized carbon atoms are studied using first-principles calculations.A tight-binding model of the 2p z orbitals are proposed to describe the electronic bands near the Fermi level.The results show that the natural band gap of graphyne originates from the inhomogeneous bindings between differently-hybridized carbon atoms.The interlayer interactions of bulk graphyne narrow the band gap to 0.16 eV and result in redshift of the optical spectral peaks as compared to single-layered graphyne. | HE XiuJie TAN Jie BU HongXia ZHANG HongYu ZHAO MingWen | 2012 | Chinese Science Bulletin2012，57，23： | 1 |
| 6 | Automatic segmentation of gas plumes from multibeam water column images using a U-shape network显示文摘Cold seeps are widely developed on the seabed of continental margins and can form gas plumes due to the upward migration of methane-rich fluids.The detection and automatic segmentation of gas plumes are of great significance in locating and studying the cold seep system that is usually accompanied by hydrate layers in the subsurface.A multibeam echo-sounder system(MBES)can record the complete backscatter intensity of the water column,and it is one of the most effective means for detecting cold seeps.However,the gas plumes recorded in multibeam water column images(WCI)are usually blurred due to the interference of the complicated water environment and the sidelobes of the MBES,making it difficult to obtain the effective segmentation.Therefore,based on the existing UNet semantic segmentation network,this paper proposes an AP-UNet network combining the convolutional block attention module and the pyramid pooling module for the automatic segmentation and extraction of gas plumes.Comparative experiments are conducted among three traditional segmentation methods and two deep learning methods.The results show that the AP-UNet segmentation model can effectively suppress complicated water column noise interference.The segmentation precision,the Dice coefficient,and the recall rate of this model are 92.09%,92.00%,and 92.49%,respectively,which are 1.17%,2.10%,and 2.07%higher than the results of the UNet. | Fanlin YANG Feng WANG Zhendong LUAN Xianhai BU Sai MEI Jianxing ZHANG Hongxia LIU | 2023 | Journal of Oceanology and Limnology2023，41，5： | 0 |
| 7 | A novel linear and broadly neutralizing peptide in the SARS-CoV-2 S2 protein for universal vaccine development显示文摘As humans continue to develop COVID-19 widely,numerous novel variants of SARS-CoV-2 have emerged[1,2].These variants,which may possess enhanced transmissibility and often result in breakthrough infections in the vaccinated population,pose great challenges to the current vaccine strategies targeting the immunodominance of the receptor-binding domain(RBD)of the spike(S)protein[2]. | Tuofan Li Qiuqi Kan Jinying Ge Zhimin Wan Mengqi Yuan Yao Huang Quan Xie Yi Yang Hongxia Shao Xiangdong Li Lilin Ye Aijian Qin Zhigao Bu Pinghuang Liu Jianqiang Ye | 2021 | Cellular & Molecular Immunology2021，18，11： | 0 |
| 8 | Rocking-chair ammonium ion battery with high rate and long-cycle life显示文摘Aqueous rechargeable ammonium-ion batteries(AIBs)have drew considerable attention because of their capacity for high rates,low cost,and high safety.However,developing desired electrodes requiring stable structure in the aqueous fast ammoniation/de-ammoniation becomes urgent.Herein,an ammonium ion full battery using Cu_(3)[Fe(CN)_(6)]_(2)(CuHCF)acting to be a cathode and barium vanadate(BVO)acting to be an anode is described.Its excellent electrochemical behavior of Prussian blue analogs and the perfectly matched lattice structure of NH_(4)^(+)is expected.And the open structure of vanadium compounds satisfies the fast ammoniation/de-ammoniation of NH4+is also achieved.As a result of these synergistic effects,the BVO//CuHCF full cell retains 80.5 percent of its capacity following 1000 cycling.These achievements provide new ideas for developing low-cost and long-life AIBs. | Tongkai Wang Xiaojuan Li Shunshun Zhao Hongxia Bu Chuanlin Li Na Li Xixi Zhang Xijin Xu | 2024 | Chinese Chemical Letters2024，35，1： | 0 |
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