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| 1 | Geochronology and significance of volcanic rocks in the Ning-Wu Basin of China显示文摘The Ning-Wu(Nanjing-Wuhu) Basin is one of the most important volcanic basins in the Middle-Lower Yangtze River Valley,eastern China.It consists of four volcanic units,i.e.,the Longwangshan,Dawangshan,Gushan,and Niangniangshan Formations.Their LA-ICP MS U-Pb zircon ages are 134.8±1.8,132.2±1.6,129.5±0.8,and 126.8±0.6 Ma,respectively.Results of this study indicate that all volcanic rocks in the Ning-Wu Basin were formed in the Early Cretaceous from 135 to 127 Ma,lasting 8-10 m.y.No Jurassic volcanic activities occurred in any of the volcanic basins of the Middle-Lower Yangtze River Valley,including the Ning-Wu Basin.These new chronological results provide significant evidence for further study of this region to improve our understanding of Mesozoic tectonic,magmatic,and metallogenic processes of eastern China. | ZHOU TaoFa FAN Yu YUAN Feng ZHANG LeJun QIAN Bin MA Liang YANG XiFei David R COOKE | 2011 | Science China Earth Sciences2011，54，2： | 33 |
| 2 | ^40Ar/^39Ar and Rb-Sr Ages of the Tiegelongnan Porphyry Cu-(Au)Deposit in the Bangong Co-Nujiang Metallogenic Belt of Tibet,China:Implication for Generation of Super-Large Deposit显示文摘The Tiegelongnan deposit is a newly discovered super-large porphyry-epithermal Cu-(Au) deposit in the western part of the Bangong Co-Nujiang metallogenic belt, Tibet(China). Field geology and geochronology indicate that the porphyry mineralization was closely related to the Early Cretaceous intermediate-felsic intrusions(ca. 123–120 Ma). Various epithermal ore and gangue mineral types were discovered in the middle-shallow part of the orebody, indicating the presence of epithermal mineralization at Tiegelongnan. Potassic, propylitic, phyllic and advanced argillic alteration zones were identified. ^(40)Ar/^(39)Ar dating of hydrothermal biotite(potassic zone), sericite(phyllic zone), and alunite(advanced argillic zone) in/around the ore-bearing granodiorite porphyry yielded 121.1±0.6 Ma(1σ), 120.8±0.7 Ma(1σ) and 117.9±1.6 Ma(1σ), respectively. Five hydrothermal mineralization stages were identified, of which the Stage IV pyrite was Rb-Sr dated to be 117.5±1.8 Ma(2σ), representing the end of epithermal mineralization. Field geology and geochronology suggest that both the epithermal and porphyry mineralization belong to the same magmatic-hydrothermal system. The Tiegelongnan super-large Cu-(Au) deposit may have undergone a prolonged magmatichydrothermal evolution, with the major mineralization event occurring at ca.120–117Ma. | LIN Bin CHEN Yuchuan TANG Juxing WANG Qin SONG Yang YANG Chao WANG Wenlei HE Wen ZHANG Lejun | 2017 | Acta Geologica Sinica(English Edition)2017，91，2： | 33 |
| 3 | Social Network Information Propagation Model Based on Individual Behavior显示文摘In this paper, we discuss building an information dissemination model based on individual behavior. We analyze the individual behavior related to information dissemination and the factors that affect the sharing behavior of individuals, and we define and quantify these factors. We consider these factors as characteristic attributes and use a Bayesian classifier to classify individuals. Considering the forwarding delay characteristics of information dissemination, we present a random time generation method that simulates the delay of information dissemination. Given time and other constraints, a user might not look at all the information that his/her friends published. Therefore, this paper proposes an algorithm to predict information visibility, i.e., it estimates the probability that an individual will see the information. Based on the classification of individual behavior and combined with our random time generation and information visibility prediction method, we propose an information dissemination model based on individual behavior. The model can be used to predict the scale and speed of information propagation. We use data sets from Sina Weibo to validate and analyze the prediction methods of the individual behavior and information dissemination model based on individual behavior. A previously proposedinformation dissemination model provides the foundation for a subsequent study on the evolution of the network and social network analysis. Predicting the scale and speed of information dissemination can also be used for public opinion monitoring. | Lejun Zhang Hongjie Li Chunhui Zhao Xiaoying Lei | 2017 | China Communications2017，14，7： | 9 |
| 4 | The Research on Social Networks Public Opinion Propagation Influence Models and Its Controllability显示文摘Public opinion propagation control is one of the hot topics in contemporary social network research. With the rapid dissemination of information over the Internet, the traditional isolation and vaccination strategies can no longer achieve satisfactory results. A positive guidance technology for public opinion diffusion is urgently needed. First, based on the analysis of influence network controllability and public opinion diffusion, a positive guidance technology is proposed and a new model that supports external control is established. Second, in combination with the influence network, a public opinion propagation influence network model is designed and a public opinion control point selection algorithm(POCDNSA) is proposed. Finally, An experiment verified that this algorithm can lead to users receiving the correct guidance quickly and accurately, reducing the impact of false public opinion information; the effect of CELF is no better than that of the POCDNSA algorithm. The main reason is that the former is completely based on the diffusion cascade information contained in the training data, but does not consider the specific situation of the network structure and the diffusion of public opinion information in the closed set. thus, the effectiveness and feasibility of the algorithm is proven. The findings of this article therefore provide useful insights for the implementation of public opinion control. | Lejun Zhang Tong Wang Zilong Jin Nan Su Chunhui Zhao Yongjun He | 2018 | China Communications2018，15，7： | 6 |
| 5 | A Covert Communication Method Using Special Bitcoin Addresses Generated by Vanitygen显示文摘As an extension of the traditional encryption technology,information hiding has been increasingly used in the fields of communication and network media,and the covert communication technology has gradually developed.The blockchain technology that has emerged in recent years has the characteristics of decentralization and tamper resistance,which can effectively alleviate the disadvantages and problems of traditional covert communication.However,its combination with covert communication thus far has been mostly at the theoretical level.The BLOCCE method,as an early result of the combination of blockchain and covert communication technology,has the problems of low information embedding efficiency,the use of too many Bitcoin addresses,low communication efficiency,and high costs.The present research improved on this method,designed the V-BLOCCE which uses base58 to encrypt the plaintext and reuses the addresses generated by Vanitygen multiple times to embed information.This greatly improves the efficiency of information embedding and decreases the number of Bitcoin addresses used.Under the premise of ensuring the order,the Bitcoin transaction OP_RETURN field is used to store the information required to restore the plaintext and the transactions are issued at the same time to improve the information transmission efficiency.Thus,a more efficient and feasible method for the application of covert communication on the blockchain is proposed.In addition,this paper also provides a more feasible scheme and theoretical support for covert communication in blockchain. | Lejun Zhang Zhijie Zhang Weizheng Wang Rasheed Waqas Chunhui Zhao Seokhoon Kim Huiling Chen | 2020 | Computers, Materials & Continua2020，，10： | 6 |
| 6 | Late Paleozoic to Mesozoic Intrusions Distribution in the North Sanjiang Orogenic Belt,Southwest China:Evidence from Zircon U-Pb Dating and Geochemistry显示文摘A mosaic of terranes or blocks and associated Late Paleozoic to Mesozoic sutures are characteristics of the north Sanjiang orogenic belt(NSOB).A detailed field study and sampling across the three magmatic belts in north Sanjiang orogenic belt,which are the Jomda-Weixi magmatic belt,the Yidun magmatic belt and the Northeast Lhasa magmatic belt,yield abundant data that demonstrate multiphase magmatism took place during the late Paleozoic to early Mesozoic.9 new zircon LA-ICP-MS U-Pb ages and 160 published geochronological data have identified five continuous episodes of magma activities in the NSOB from the Late Paleozoic to Mesozoic:the Late Permian to Early Triassic(c.261-230 Ma);the Middle to Late Triassic(c.229-210 Ma);the Early to Middle Jurassic(c.206-165 Ma);the Early Cretaceous(c.138-110 Ma) and the Late Cretaceous(c.103-75 Ma).105 new and 830 published geochemical data reveal that the intrusive rocks in different episodes have distinct geochemical compositions.The Late Permian to Early Triassic intrusive rocks are all distributed in the Jomda-Weixi magmatic belt,showing arc-like characteristics;the Middle to Late Triassic intrusive rocks widely distributed in both Jomda-Weixi and Yidun magmatic belts,also demonstrating volcanic-arc granite features;the Early to Middle Jurassic intrusive rocks are mostly exposed in the easternmost Yidun magmatic belt and scattered in the westernmost Yangtza Block along the Garze-Litang suture,showing the properties of syn-collisional granite;nearly all the Early Cretaceous intrusive rocks distributed in the NE Lhasa magmatic belt along Bangong suture,exhibiting both arc-like and syn-collision-like characteristics;and the Late Cretaceous intrusive rocks mainly exposed in the westernmost Yidun magmatic belt,with A-type granite features.These suggest that the co-collision related magmatism in Indosinian period developed in the central and eastern parts of NSOB while the Yanshan period co-collision related magmatism mainly occurred in the west area.In detail,the earliest magmatism developed in late Permian to Triassic and formed the Jomda-Wei magmatic belt,then magmatic activity migrated eastwards and westwards,forming the Yidun magmatic bellt,the magmatism weakend at the end of late Triassic,until the explosure of the magmatic activity occurred in early Cretaceous in the west NSOB,forming the NE Lhasa magmatic belt.Then the magmatism migrated eastwards and made an impact on the within-plate magmatism in Yidun magmatic belt in late Cretaceous. | GONG Xuejing YANG Zhusen MENG Xiangjin PAN Xiaofei WANG Qian ZHANG Lejun | 2017 | Acta Geologica Sinica(English Edition)2017，91，3： | 4 |
| 7 | The Research on E-mail Users' Behavior of Participating in Subjects Based on Social Network Analysis显示文摘The e-mail network is a type of social network. This study analyzes user behavior in e-mail subject participation in organizations by using social network analysis. First, the Enron dataset and the position-related information of an employee are introduced, and methods for deletion of false data are presented. Next, the three-layer model(User, Subject, Keyword) is proposed for analysis of user behavior. Then, the proposed keyword selection algorithm based on a greedy approach, and the influence and propagation of an e-mail subject are defined. Finally, the e-mail user behavior is analyzed for the Enron organization. This study has considerable significance in subject recommendation and character recognition. | ZHANG Lejun ZHOU Tongxin Qi Zhixin GUO Lin XU Li | 2016 | China Communications2016，13，4： | 3 |
| 8 | Secure and Efficient Data Storage and Sharing Scheme Based on Double Blockchain显示文摘In the digital era,electronic medical record(EMR)has been a major way for hospitals to store patients’medical data.The traditional centralized medical system and semi-trusted cloud storage are difficult to achieve dynamic balance between privacy protection and data sharing.The storage capacity of blockchain is limited and single blockchain schemes have poor scalability and low throughput.To address these issues,we propose a secure and efficient medical data storage and sharing scheme based on double blockchain.In our scheme,we encrypt the original EMR and store it in the cloud.The storage blockchain stores the index of the complete EMR,and the shared blockchain stores the index of the shared part of the EMR.Users with different attributes can make requests to different blockchains to share different parts according to their own permissions.Through experiments,it was found that cloud storage combined with blockchain not only solved the problem of limited storage capacity of blockchain,but also greatly reduced the risk of leakage of the original EMR.Content Extraction Signature(CES)combined with the double blockchain technology realized the separation of the privacy part and the shared part of the original EMR.The symmetric encryption technology combined with Ciphertext-Policy Attribute-Based Encryption(CP–ABE)not only ensures the safe storage of data in the cloud,but also achieves the consistency and convenience of data update,avoiding redundant backup of data.Safety analysis and performance analysis verified the feasibility and effectiveness of our scheme. | Lejun Zhang Minghui Peng Weizheng Wang Yansen Su Shuna Cui Seokhoon Kim | 2021 | Computers, Materials & Continua2021，，1： | 1 |
| 9 | Analysis of nucleosome positioning in promoters of miRNA genes and protein-coding genes显示文摘Nucleosome positioning in promoters is important for gene transcription regulation. In this paper, with a nucleosome prediction model, curvature profile, the characteristics of nucleosome positioning in promoters are analyzed for miRNA genes and protein-coding genes. In the vicinity of transcription start site (TSS), there is a nucleosome-free region (NFR) followed by a positioned nucleosome at ~200 bp downstream of TSS. A similar characteristic is observed in independent intronic promoters and intergenic promoters, namely, both types of promoters have a longer NFR in 0—-400 bp upstream of TSS. Moreover, transcription factor binding sites (TFBSs) locate in the NFR with a high concentration. However, nucleosome pattern in dependent intronic promoters are like that in protein-coding promoters, with two nucleosomes positioned at -200—-400 bp and -400—-600 bp upstream of TSS. The results indicate nucleosome positioning is probably different in independent miRNA promoters and protein-coding promoters; and positioning seems to be an important factor not only in regulation of protein-coding gene, but also in that of miRNA gene. | LIU HongDe ZHANG DeJin XIE JianMing YUAN ZhiDong MA Xin LU ZhiYuan GONG LeJun SUN Xiao | 2010 | Chinese Science Bulletin2010，55，22： | 1 |
| 10 | Design of PPM modulationoptical communication system based on FPGA显示文摘 | Zhu Lejun Zhang Jiangxin | 2006 | OptCommun Technol2006，，12： | 1 |
| 11 | Research on E-mail Communication Network Evolution Model Based on User Information Propagation显示文摘E-mail communication network evolution model based on user information propagation is studied. First, mathematical representation of weighted e-mail communication network is proposed, and network center parameters of Enron dataset and the distribution of node degree and strength are analyzed. Then, some rules of e-mail communication network evolution are found. Second, the model of e-mail information propagation is described, and e-mail communication network evolution model based on user information propagation is proposed. Lastly, the simulation proves the correctness of the distribution characteristic of degree and strength of the model proposed and then verifies that the model proposed is closer to the real situation of e-mail communication network through parameter comparison. This research provides the basis for other researches on social network evolution and data communication. | ZHANG Lejun GUO Lin XU Li | 2015 | China Communications2015，12，7： | 1 |
| 12 | A Novel Survivability Evaluation Model Facing Information System显示文摘 | ZHANG Lejun GUO Lin ZHANG Jianpei YANG Jing | 2012 | Chinese Journal of Electronics2012，21，3： | 1 |
| 13 | A Distributed Covert Channel of the Packet Ordering Enhancement Model Based on Data Compression显示文摘Covert channel of the packet ordering is a hot research topic.Encryption technology is not enough to protect the security of both sides of communication.Covert channel needs to hide the transmission data and protect content of communication.The traditional methods are usually to use proxy technology such as tor anonymous tracking technology to achieve hiding from the communicator.However,because the establishment of proxy communication needs to consume traffic,the communication capacity will be reduced,and in recent years,the tor technology often has vulnerabilities that led to the leakage of secret information.In this paper,the covert channel model of the packet ordering is applied into the distributed system,and a distributed covert channel of the packet ordering enhancement model based on data compression(DCCPOEDC)is proposed.The data compression algorithms are used to reduce the amount of data and transmission time.The distributed system and data compression algorithms can weaken the hidden statistical probability of information.Furthermore,they can enhance the unknowability of the data and weaken the time distribution characteristics of the data packets.This paper selected a compression algorithm suitable for DCCPOEDC and analyzed DCCPOEDC from anonymity,transmission efficiency,and transmission performance.According to the analysis results,it can be seen that DCCPOEDC optimizes the covert channel of the packet ordering,which saves the transmission time and improves the concealment compared with the original covert channel. | Lejun Zhang Xiaoyan Hu Zhijie Zhang Weizheng Wang Tianwen Huang Donghai Guan Chunhui Zhao Seokhoon Kim | 2020 | Computers, Materials & Continua2020，，9： | 0 |
| 14 | Research on Dynamic Discovery Model of User Interest Based on Time and Space Vector显示文摘 | Jinxiu Lin Zhaoxin Zhang Lejun Chi Yang Wang | 2018 | 国际计算机前沿大会会议论文集2018，，2： | 0 |
| 15 | Redundant Data Detection and Deletion to Meet Privacy Protection Requirements in Blockchain-Based Edge Computing Environment显示文摘With the rapid development of information technology,IoT devices play a huge role in physiological health data detection.The exponential growth of medical data requires us to reasonably allocate storage space for cloud servers and edge nodes.The storage capacity of edge nodes close to users is limited.We should store hotspot data in edge nodes as much as possible,so as to ensure response timeliness and access hit rate;However,the current scheme cannot guarantee that every sub-message in a complete data stored by the edge node meets the requirements of hot data;How to complete the detection and deletion of redundant data in edge nodes under the premise of protecting user privacy and data dynamic integrity has become a challenging problem.Our paper proposes a redundant data detection method that meets the privacy protection requirements.By scanning the cipher text,it is determined whether each sub-message of the data in the edge node meets the requirements of the hot data.It has the same effect as zero-knowledge proof,and it will not reveal the privacy of users.In addition,for redundant sub-data that does not meet the requirements of hot data,our paper proposes a redundant data deletion scheme that meets the dynamic integrity of the data.We use Content Extraction Signature(CES)to generate the remaining hot data signature after the redundant data is deleted.The feasibility of the scheme is proved through safety analysis and efficiency analysis. | Zhang Lejun Peng Minghui Su Shen Wang Weizheng Jin Zilong Su Yansen Chen Huiling Guo Ran Sergey Gataullin | 2024 | China Communications2024，21，3： | 0 |
| 16 | Highway Cost Prediction Based on LSSVM Optimized by Intial Parameters显示文摘The cost of highway is affected by many factors.Its composition and calculation are complicated and have great ambiguity.Calculating the cost of highway according to the traditional highway engineering estimation method is a completely tedious task.Constructing a highway cost prediction model can forecast the value promptly and improve the accuracy of highway engineering cost.This work sorts out and collects 60 sets of measured data of highway engineering;establishes an expressway cost index system based on 10 factors,including main route mileage,roadbed width,roadbed earthwork,and number of bridges;and processes the data through principal component analysis(PCA)and hierarchical cluster analysis.Particle swarm optimization(PSO)is used to obtain the optimal parameter combination of the regularization parameter c and the kernel function width coefficientin least squares support vector machine(LSSVM).Results show that the average relative and mean square errors of the PCA-PSO-LSSVM model are 0.79%and 10.01%,respectively.Compared with BP neural networks and unoptimized LSSVM model,the PCA-PSO-LSSVM model has smaller relative errors,better generalization ability,and higher prediction accuracy,thereby providing a new method for highway cost prediction in complex environments. | Xueqing Wang Shuang Liu Lejun Zhang | 2021 | Computer Systems Science & Engineering2021，36，1： | 0 |
| 17 | A Bitcoin Address Multi-Classification Mechanism Based on Bipartite Graph-Based Maximization Consensus显示文摘Bitcoin is widely used as the most classic electronic currency for various electronic services such as exchanges,gambling,marketplaces,and also scams such as high-yield investment projects.Identifying the services operated by a Bitcoin address can help determine the risk level of that address and build an alert model accordingly.Feature engineering can also be used to flesh out labeled addresses and to analyze the current state of Bitcoin in a small way.In this paper,we address the problem of identifying multiple classes of Bitcoin services,and for the poor classification of individual addresses that do not have significant features,we propose a Bitcoin address identification scheme based on joint multi-model prediction using the mapping relationship between addresses and entities.The innovation of the method is to(1)Extract as many valuable features as possible when an address is given to facilitate the multi-class service identification task.(2)Unlike the general supervised model approach,this paper proposes a joint prediction scheme for multiple learners based on address-entity mapping relationships.Specifically,after obtaining the overall features,the address classification and entity clustering tasks are performed separately,and the results are subjected to graph-basedmaximization consensus.The final result ismade to baseline the individual address classification results while satisfying the constraint of having similarly behaving entities as far as possible.By testing and evaluating over 26,000 Bitcoin addresses,our feature extraction method captures more useful features.In addition,the combined multi-learner model obtained results that exceeded the baseline classifier reaching an accuracy of 77.4%. | Lejun Zhang Junjie Zhang Kentaroh Toyoda Yuan Liu Jing Qiu Zhihong Tian Ran Guo | 2024 | Computer Modeling in Engineering & Sciences2024，139，4： | 0 |
| 18 | Mounded seismic units in the modern canyon system in the Shenhu area,northern South China Sea:Sediment deformation,depositional structures or the mixed system?显示文摘The canyon system,including 17 small slope-confined canyons in the Shenhu area,northern South China Sea,is significantly characterized by mounded or undulating features on the canyon flanks and canyon heads.However,the mechanism underlying the formation of these features has yet to be elucidated.In previous studies,most of them were interpreted as sediment deformation on the exploration seismic profiles.In this paper,we collected high-resolution bathymetric data,chirp profiles and geotechnical test data to investigate their detailed morphology,internal structures,and origin.The bathymetric data indicated that most mounded seismic units have smooth seafloors and are separated by grooves or depressions.The distance between two adjacent mounded units is only hundreds of meters.On chirp profiles,mounded seismic units usually exhibit chaotic reflections and wavy reflections,of which the crests migrate upslope.The slope stability analysis results revealed that the critical angle of the soil layers in the study area tends to be 9°,indicating that most mounded seismic units on the canyon flanks and heads are stable at present.The terrain characteristics and seismic configurations combined with the slope stability analysis results indicated that most mounded seismic units are not sediment deformation but depositional structures or mixed systems composed of deformation and depositional structures. | Xishuang Li Chengyi Zhang Baohua Liu Lejun Liu | 2022 | Acta Oceanologica Sinica2022，41，9： | 0 |
| 19 | Predicting Genotype Information Related to COVID-19 for Molecular Mechanism Based on Computational Methods显示文摘Novel coronavirus disease 2019(COVID-19)is an ongoing health emergency.Several studies are related to COVID-19.However,its molecular mechanism remains unclear.The rapid publication of COVID-19 provides a new way to elucidate its mechanism through computational methods.This paper proposes a prediction method for mining genotype information related to COVID-19 from the perspective of molecular mechanisms based on machine learning.The method obtains seed genes based on prior knowledge.Candidate genes are mined from biomedical literature.The candidate genes are scored by machine learning based on the similarities measured between the seed and candidate genes.Furthermore,the results of the scores are used to perform functional enrichment analyses,including KEGG,interaction network,and Gene Ontology,for exploring the molecular mechanism of COVID-19.Experimental results show that the method is promising for mining genotype information to explore the molecular mechanism related to COVID-19. | Lejun Gong Xingxing Zhang Li Zhang Zhihong Gao | 2021 | Computer Modeling in Engineering & Sciences2021，，10： | 0 |
| 20 | BDLR:lncRNA identification using ensemble learning显示文摘Long non-coding RNAs(lncRNAs)play an important role in many life activities such as epigenetic material regulation,cell cycle regulation,dosage compensation and cell differentiation regulation,and are associated with many human diseases.There are many limitations in identifying and annotating lncRNAs using traditional biological experimental methods.With the development of high-throughput sequencing technology,it is of great practical significance to identify the lncRNAs from massive RNA sequence data using machine learning method.Based on the Bagging method and Decision Tree algorithm in ensemble learning,this paper proposes a method of lncRNAs gene sequence identification called BDLR.The identification results of this classification method are compared with the identification results of several models including Byes,Support Vector Machine,Logical Regression,Decision Tree and Random Forest.The experimental results show that the lncRNAs identification method named BDLR proposed in this paper has an accuracy of 86.61%in the human test set and 90.34%in the mouse for lncRNAs,which is more than the identification results of the other methods.Moreover,the proposed method offers a reference for researchers to identify lncRNAs using the ensemble learning. | LEJUN GONG SHEHAI ZHOU JINGMEI CHEN YONGMIN LI LI ZHANG ZHIHONG GAO | 2022 | BIOCELL2022，46，4： | 0 |
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