wuhan university

团队师资

TEACHERS

陆伟

陆伟教授

weilu@whu.edu.cn

信息检索与可视化、大数据智能、AI人机协同、竞争情报方法与技术

个人简介BIOGRAPHY

陆伟，武汉大学二级教授，博士生导师，教育部新世纪优秀人才、首届长江青年学者、长江学者特聘教授。现任武汉大学信息管理学院院长，武汉大学国家保密学院常务副院长，信息检索与知识挖掘研究所所长；兼任教育部管理科学与工程专业教指委委员、保密管理分教指委委员，中国科技情报学会常务理事，湖北省信息学会副理事长，图书情报知识副主编、情报工程编委会副主任委员，情报学报等期刊编委等。研究兴趣为信息检索、情报智能、人机协同和创新评价等，发表AAAI、CCS、SIGIR、JASIST等SSCI/SCI/EI论文80余篇。主持国家2030新一代人工智能重大项目、社科基金重大项目、自科基金重点项目、国防重点项目、重点研发计划课题等各类纵横向项目60余项。申请国家标准、发明专利和软件著作权20余项，研发问答机器人RobertAI、学术信息智能处理平台ScienceAI等，为华为、阿里、百度、泰康、国家网安中心、中国科技信息研究所等数十家科研院所和企事业单位提供了支撑。获教育部高等学校人文社科优秀成果奖、湖北省社科优秀成果奖、湖北省科技信息成果奖等。


学术成果ACHIEVEMENTS

  • 【1】Zhang, C., Mayr, P., Lu, W., & Zhang, Y. (2023). Guest editorial: Extraction and evaluation of knowledge entities in the age of artificial intelligence. Aslib Journal of Information Management, 75(3), 433–437. https://doi.org/10.1108/AJIM-05-2023-507 [全文]
  • 【2】蔡乐, 罗卓然, & 陆伟. (2023). 学术论文科研贡献类型自动识别研究. 情报理论与实践, 46(6), 168–175. https://doi.org/10.16353/j.cnki.1000-7490.2023.06.023 [全文]
  • 【3】黄佳妮, 陆伟, & 于丰畅. (不详). 基于实体知识网络的政策文本关联分析——以国家创业政策为例. 图书馆论坛, 1–11. https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=TSGL20230728004&v= [全文]
  • 【4】陆伟, 刘家伟, 马永强, & 程齐凯. (2023). ChatGPT为代表的大模型对信息资源管理的影响. 图书情报知识, 40(2), 6-9+70. https://doi.org/10.13366/j.dik.2023.02.006 [全文]
  • 【5】A term function–aware keyword citation network method for science mapping analysis—ScienceDirect. (不详). 取读于 2023年10月19日, 从 https://www.sciencedirect.com/science/article/pii/S0306457323001425 [全文]
  • 【6】He, G., Xue, Z., Jiang, Z., Kang, Y., Zhao, S., & Lu, W. (2023). H2CGL: Modeling dynamics of citation network for impact prediction. Information Processing & Management, 60(6), 103512. https://doi.org/10.1016/j.ipm.2023.103512 [全文]
  • 【7】Jiang, Y., Meng, R., Huang, Y., Lu, W., & Liu, J. (2023). Generating keyphrases for readers: A controllable keyphrase generation framework. Journal of the Association for Information Science and Technology, 74(7), 759–774. https://doi.org/10.1002/asi.24749 [全文]
  • 【8】Li, X., Tang, X., & Lu, W. (2023). Tracking biomedical articles along the translational continuum: A measure based on biomedical knowledge representation. Scientometrics, 128(2), 1295–1319. https://doi.org/10.1007/s11192-022-04607-z [全文]
  • 【9】Ma, Y., Liu, J., Lu, W., & Cheng, Q. (2023). From “what” to “how”: Extracting the Procedural Scientific Information Toward the Metric-optimization in AI. Information Processing & Management, 60(3), 103315. https://doi.org/10.1016/j.ipm.2023.103315 [全文]
  • 【10】Yu, F., Huang, J., Luo, Z., Zhang, L., & Lu, W. (2023). An effective method for figures and tables detection in academic literature. Information Processing & Management, 60(3), 103286. https://doi.org/10.1016/j.ipm.2023.103286 [全文]
  • 【11】Huang, S., Huang, Y., Bu, Y., Luo, Z., & Lu, W. (2023). Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact. Journal of Informetrics, 17(2), 101409. https://doi.org/10.1016/j.joi.2023.101409 [全文]
  • 【12】Zhang, L., Lu, W., & Yang, J. (2023). LAGOS-AND: A large gold standard dataset for scholarly author name disambiguation. Journal of the Association for Information Science and Technology, 74(2), 168–185. https://doi.org/10.1002/asi.24720 [全文]
  • 【13】Xue, Z., He, G., Liu, J., Jiang, Z., Zhao, S., & Lu, W. (2023). Re-examining lexical and semantic attention: Dual-view graph convolutions enhanced BERT for academic paper rating. Information Processing & Management, 60(2), 103216. https://doi.org/10.1016/j.ipm.2022.103216
  • 【14】Luo, Z., He, J., Qian, J., Wang, Y., & Lu, W. (2023). Do the paper’s connections to existing work disclose its citation impact? A study based on graph representation learning. Journal of Information Science, 01655515231191213. https://doi.org/10.1177/01655515231191213
  • 【15】Huang S, Qian J, Huang Y, et al. Disclosing the relationship between citation structure and future impact of a publication[J]. Journal of the Association for Information Science and Technology, 2022, 73(7): 1025-1042. [全文]
  • 【16】Zhang, L., Lu, W., Chen, H., Huang, Y., & Cheng, Q. (2022). A comparative evaluation of biomedical similar article recommendation. Journal of Biomedical Informatics, 104106. [全文]
  • 【17】Yang J, Lu W, Hu J, et al. A novel emerging topic detection method: A knowledge ecology perspective[J]. Information Processing & Management, 2022, 59(2): 102843. [全文]
  • 【18】Huang S, Lu W, Bu Y, et al. Revisiting the exploration-exploitation behavior of scholars’ research topic selection: Evidence from a large-scale bibliographic database[J]. Information Processing & Management, 2022, 59(6): 103110. [全文]
  • 【19】Yang J, Bu Y, Lu W, et al. Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process[J]. Journal of Informetrics, 2022, 16(1): 101239. [全文]
  • 【20】Wei Y, Lu W, Cheng Q, et al. How humans obtain information from AI: Categorizing user messages in human-AI collaborative conversations[J]. Information Processing & Management, 2022, 59(2): 102838. [全文]
  • 【21】Luo Z, Lu W, He J, et al. Combination of research questions and methods: A new measurement of scientific novelty[J]. Journal of Informetrics, 2022, 16(2): 101282. [全文]
  • 【22】Huang Y, Lu W, Liu J, et al. Towards transdisciplinary impact of scientific publications: A longitudinal, comprehensive, and large-scale analysis on Microsoft Academic Graph[J]. Information Processing & Management, 2022, 59(2): 102859. [全文]
  • 【23】Huang S, Huang Y, Bu Y, et al. Fine-grained citation count prediction via a transformer-based model with among-attention mechanism[J]. Information Processing & Management, 2022, 59(2): 102799. [全文]
  • 【24】Liu J, Kang Y, Tang D, et al. Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models[C]//Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. New York, NY, USA: Association for Computing Machinery, 2022: 2025-2039. [全文]
  • 【25】罗卓然,陆伟,蔡乐等.学术文本词汇功能识别——在论文新颖性度量上的应用[J].情报学报,2022,41(07):720-732. [全文]
  • 【26】Zhang, L., Lu, W., & Yang, J. (2021). LAGOS-AND: A large, gold standard dataset for scholarly author name disambiguation. arXiv preprint arXiv:2104.01821. (accepted by JASIST) dataset access link: https://zenodo.org/record/6731624#.Y09mrnZBxHY
  • 【27】Wu L, Yang J, Wang D, et al. Scientists’ response to global public health emergencies: A bibliometrics perspective[J]. Journal of Information Science, 2021: 01655515211030866.
  • 【28】Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu and Wei Lu. Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. AAAI, 2021. (CCF A) [全文]
  • 【29】 Bu, Y., Lu, W., Wu, Y., Chen, H., & Huang, Y. (2021). How wide is the citation impact of scientific publications? A cross-discipline and large-scale analysis. Information Processing and Management, 58(1), 102429.(online) [全文]
  • 【30】程齐凯,李鹏程,张国标,陆伟.学术文本词汇功能识别——基于标题生成策略和注意力机制的问题方法抽取[J].情报学报,2021,40(01):43-52. [全文]
  • 【31】姜艺,黄永,夏义堃,李鹏程,陆伟.学术文本词汇功能识别——在关键词自动抽取中的应用[J].情报学报,2021,40(02):152-162. [全文]
  • 【32】杨金庆,陆伟,吴乐艳.面向学科新兴主题探测的多源科技文献时滞计算及启示——以农业学科领域为例[J].情报学报,2021,40(01):21-29.
  • 【33】Liu J, Song K, Kang Y, et al. A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis[J]. arXiv preprint arXiv:2109.08412, 2021.
  • 【34】Li P, Liu Q, Cheng Q, et al. Data set entity recognition based on distant supervision[J]. The Electronic Library, 2021. [全文]
  • 【35】Lu W, Huang S, Yang J, et al. Detecting research topic trends by author-defined keyword frequency[J]. Information Processing & Management, 2021, 58(4): 102594. [全文]
  • 【36】Huang S, Qian J, Huang Y, et al. Disclosing the relationship between citation structure and future impact of a publication[J]. Journal of the Association for Information Science and Technology, 2021. [全文]
  • 【37】Lu W, Ren Y, Huang Y, et al. Scientific collaboration and career stages: An ego-centric perspective[J]. Journal of Informetrics, 2021, 15(4): 101207. [全文]
  • 【38】Zhang, L., Huang, Y., Yang, J., & Lu, W. (2021). Aggregating large-scale databases for PubMed author name disambiguation. Journal of the American Medical Informatics Association, 28(9), 1919-1927.
  • 【39】罗卓然,王玉琦,钱佳佳等.学术论文创新性评价研究综述[J].情报学报,2021,40(07):780-790. [全文]
  • 【40】陆伟,李鹏程,张国标,程齐凯.学术文本词汇功能识别——基于BERT向量化表示的关键词自动分类研究[J].情报学报,2020,39(12):1320-1329. [全文]
  • 【41】Guoxiu He, Yunhan Yang, Zhuoren Jiang, Yangyang Kang, Xiaozhong Liu, and Wei Lu. Implicit Products in the Decentralized eCommerce Ecosystems. JCDL, 2020. [全文]
  • 【42】Lu Wei, Wang Jiamin, Hu Jiming. Analyzing the topic distribution and evolution of foreign relations from parliamentary debates A framework and case study. Information Processing & Management, 2020, 57(3): 102191 [全文]
  • 【43】Huang, Y, Bu, Y, Ding, Y, & Lu, W. (2020). Partitioning highly, medium and lowly cited publications. Journal of Information Science. https://doi.org/10.1177/0165551520917655 [全文]
  • 【44】He G, Yang Y, Jiang Z, et al. Implicit Products in the Decentralized eCommerce Ecosystems[C]//Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. 2020: 451-452. [全文]
  • 【45】Zhuoran Luo, Jiangen He, Jiajia Qian, Yuqi Wang, JunYing Chen, Wei Lu. Can Scientific Publication's Network Structural Features Predict its Citation?. JCDL, 2020. [全文]
  • 【46】Guoxiu He, Zhe Gao, Zhuoren Jiang, Yangyang Kang, Changlong Sun, Xiaozhong Liu, and Wei Lu. Think Beyond the Word: Understanding the Implied Textual Meaning by Digesting Context, Local, and Noise. SIGIR, 2020. (CCF A) [全文]
  • 【47】Guoxiu He, Yangyang Kang, Zhuoren Jiang, Jiawei Liu, Changlong Sun, Xiaozhong Liu, and Wei Lu. Creating a Children-Friendly Reading Environment via Joint Learning of Content and Human Attention. SIGIR, 2020. (CCF A) [全文]
  • 【48】Lu W, Wang J, Hu J. Analyzing the topic distribution and evolution of foreign relations from parliamentary debates: A framework and case study[J]. Information Processing & Management, 2020, 57(3): 102191. [全文]
  • 【49】Huang Y , Bu Y , Ding Y , et al. Exploring direct citations between citing publications[J]. Journal of Information Science, 2020(8):016555152091765. [全文]
  • 【50】Huang Y , Bu Y , Ding Y , et al. Partitioning highly, medium and lowly cited publications[J]. Journal of Information Science, 2020:016555152091765. [全文]
  • 【51】Lu W , Liu Z , Huang Y , et al. How do authors select keywords? A preliminary study of author keyword selection behavior[J]. Journal of Informetrics, 2020, 14(4):101066.
  • 【52】Cheng Q , Wang J , Lu W , et al. Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis[J]. Scientometrics, 2020, 124. [全文]
  • 【53】Zhai Y , Yan J , Zhang H , et al. Tracing the evolution of AI: conceptualization of artificial intelligence in mass media discourse[J]. Information Discovery and Delivery, 2020, ahead-of-print(ahead-of-print). [全文]
  • 【54】 Chen, H., Yang, Y., Lu, W. and Chen, J. (2020), "Exploring multiple diversification strategies for academic citation contexts recommendation", The Electronic Library, Vol. 38 No. 4, pp. 821-842. [全文]
  • 【55】Xiong Z, Qi Y, Lu W, et al. Design and Implementation of an Academic Search System Based on a General Query Language and Automatic Question Answering[C]//EEKE@ JCDL. 2020: 89-91.
  • 【56】Zhang L, Huang Y, Cheng Q, et al. Mining Author Identifiers for PubMed by Linking to Open Bibliographic Databases[C]//2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2020: 209-212. [全文]
  • 【57】Wu C, Kanoulas E, de Rijke M, et al. WN-Salience: A Corpus of News Articles with Entity Salience Annotations[C]//Proceedings of the 12th Language Resources and Evaluation Conference. 2020: 2095-2102. [全文]
  • 【58】Zhang C, Mayr P, Lu W, et al. Extraction and evaluation of knowledge entities from scientific documents: Eeke2020[C]//Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. 2020: 573-574. [全文]
  • 【59】Li X, Rousseau J F, Ding Y, et al. Understanding Drug Repurposing From the Perspective of Biomedical Entities and Their Evolution: Bibliographic Research Using Aspirin[J]. JMIR medical informatics, 2020, 8(6): e16739. [全文]
  • 【60】Lu W, Liu Z, Huang Y, et al. How do authors select keywords? A preliminary study of author keyword selection behavior[J]. Journal of Informetrics, 2020, 14(4): 101066.
  • 【61】Huang, Y, Bu, Y, Ding, Y, & Lu, W. (2018). Direct citations between citing publications. Journal of Information Science. 2020 (to appear)
  • 【62】Lu W, Li X, Liu Z, Cheng Q. How do Author-Selected Keywords Function Semantically in Scientific Manuscripts?[J]. Knowledge organization, 2019, 46(6),403-418. [全文]
  • 【63】Li X, Rousseau JF, Ding Y, Song M, Lu W. Understanding drug repurposing from the perspective of biomedical entities and their evolution: a bibliographic research using aspirin. JMIR Med Inform (forthcoming). doi:10.2196/16739 [全文]
  • 【64】Heng Ding, Wei Lu, Tingting Jiang. Understanding the cultural concerns of libraries based on automatic image analysis. 2019 online [全文]
  • 【65】Wei Lu, Xin Li, Zhifeng Liu, Qikai Cheng. How do Author-Selected Keywords Function Semantically in Scientific Manuscripts? KNOWLEDGE ORGANIZATION 46 (6), 403-418. [全文]
  • 【66】Wei Lu, Mengqi Luo, Zhenyu Zhang, Guobiao Zhang, Heng Ding, Haihua Chen, Jiangping Chen. Result diversification in image retrieval based on semantic distance. Information Sciences 2019, 502: 59-75. [全文]
  • 【67】Yi Bu, Yong Huang, Wei Lu. Loops in publication citation networks. Journal of Information Science, 2019(9) [全文]
  • 【68】Huang Y, Bu Y, Ding Y, et al. From zero to one: A perspective on citing[J]. Journal of the Association for Information Science and Technology, 2019, 70(10): 1098-1107. [全文]
  • 【69】Guoxiu He, Yangyang Kang, Zhe Gao, Zhuoren Jiang, Changlong Sun, Xiaozhong Liu, Wei Lu, Qiong Zhang, and Luo Si. Finding Camouflaged Needle in a Haystack? Pornographic Products Detection via Berrypicking Tree Model. SIGIR, 2019: 365-374. (CCF A) [全文]
  • 【70】程齐凯, 王佳敏, 陆伟. 基于引用共词网络的领域基础词汇发现研究[J]. 数据分析与知识发现, 2019, 3(6): 57-65. [全文]
  • 【71】王佳敏, 陆伟, 刘家伟, 程齐凯. 多层次融合的学术文本结构功能识别研究[J]. 图书情报工作, 2019, 63(13): 95-104. [全文]
  • 【72】桂思思, 陆伟, 张晓娟. 基于查询表达式特征的时态意图识别研究[J]. 数据分析与知识发现, 2019, 3(3): 66-75. [全文]
  • 【73】于丰畅,陆伟.基于机器视觉的PDF学术文献结构识别[J].情报学报,2019,38(04):384-390. [全文]
  • 【74】Zavalina O L , Lu W , Chen J . Organizing data, information, and knowledge in big data environments[C]// 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). ACM, 2019. [全文]
  • 【75】Lu W, Luo M, Zhang Z, et al. Result Diversification in Image Retrieval Based on Semantic Distance[J]. Information Sciences, 2019,502: 59–75. [全文]
  • 【76】Ding H, Lu W, Jiang T. Understanding the cultural concerns of libraries based on automatic image analysis[J]. The Electronic Library, 2019,37(3):419-434. [全文]
  • 【77】Yi Bu, Yong Huang, Wei Lu，Loops in publication citation networks， Journal of information science, First Published September 6, 2019, vol. 46, 6: pp. 837-848. [全文]
  • 【78】Author-selected keyword semantic function analysis: A case study of informetrics
  • 【79】Yong Huang, Yi Bu, Ying Ding, Wei Lu. Number versus structure: towards citing cascades. Scientometrics 117 (3), 2177-2193. [全文]
  • 【80】陆伟,罗梦奇,丁恒,李信. 深度学习图像标注与用户标注比较研究[J]. 数据分析与知识发现, 2018, 2(5): 1-10. [全文]
  • 【81】Wei Lu, Yong Huang, Yi Bu, Qikai Cheng. Functional structure identification of scientific documents in computer science. Scientomerics. 2018, 115:463–486 [全文]
  • 【82】ZHANG X, HAN S, LU W. Automatic prediction of news intent for search queries: An exploration of contextual and temporal features[J]. The Electronic Library. 2018,36(5):938-958. [全文]
  • 【83】Wei Lu, Heng Ding, Jiepu Jiang. A Document Expansion Framework for Tag-based Image Retrieval. Aslib Journal of Information Management. 2018 [全文]
  • 【84】Guoxiu He, Junwei Fang, Haoran Cui, Chuan Wu, and Wei Lu. 2018. Keyphrase Extraction Based on Prior Knowledge. In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL '18). [全文]
  • 【85】Guoxiu He, Wei Lu. Entire Representation Attentive GRU for Text Representation[C]//ICTIR 2018. (DRAFT) [全文]
  • 【86】Yunhan Yang, Haihua Chen, Wei Lu, and Brenda Reyes Ayala. 2018. Diversifying Citation Contexts in Academic Literature for Knowledge Recommendation. In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL '18). [全文]
  • 【87】Gui S, Lu W, Zhou P, Zheng Z. A Framework for Personalized Adaptive User Interest Prediction Based on Topic Model and Forgetting Mechanism[J]. Wuhan University Journal of Natural Sciences, 2018, 23(1):9–16. [全文]
  • 【88】Lu W, West J, O'connor B, et al. JCDL 2018 Workshop Proposal-Image Collections: Creation, Organization, Access, and Use[C]//Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 2018: 427-428. [全文]
  • 【89】He G, Lu W. Entire information attentive GRU for text representation[C]//Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval. 2018: 163-166. [全文]
  • 【90】Yang Y, Chen H, Lu W, et al. Diversifying Citation Contexts in Academic Literature for Knowledge Recommendation[C]//Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 2018: 397-398. [全文]
  • 【91】He G, Fang J, Cui H, et al. Keyphrase extraction based on prior knowledge[C]//Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 2018: 341-342. [全文]
  • 【92】 Huang Y, Bu Y, Ding Y, et al. Number versus structure: towards citing cascades[J]. Scientometrics, 2018, 117(3): 2177-2193. [全文]
  • 【93】Zhang X, Han S, Lu W. Automatic prediction of news intent for search queries: An exploration of contextual and temporal features[J]. The Electronic Library, 2018, 36(5): 938-958. [全文]
  • 【94】Lu W, Huang Y, Bu Y, et al. Functional structure identification of scientific documents in computer science[J]. Scientometrics, 2018, 115(1): 463-486. [全文]
  • 【95】Lu W, Ding H, Jiang J. A document expansion framework for tag-based image retrieval[J]. Aslib Journal of Information Management, 2018, 70(1): 47-65. [全文]
  • 【96】Lu W, West J, O'connor B, et al. JCDL 2018 Workshop Proposal-Image Collections: Creation, Organization, Access, and Use[C]//Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 2018: 427-428.
  • 【97】Yang Y, Chen H, Lu W, et al. Diversifying citation contexts in academic literature for knowledge recommendation[C]//Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries. 2018: 397-398. [全文]
  • 【98】方龙,李信,黄永,陆伟.学术文本的结构功能识别——在关键词自动抽取中的应用[J].情报学报,2017,36(06):599-605. [全文]
  • 【99】Zhang Q, Lu W, Yang Y, et al. Automatic Identification of Research Articles Containing Data Usage Statements[C]//Proceedings Of The International Conference On Knowledge Management. Singapore: World Scientific, 2017: 25-27. [全文]
  • 【100】Rui Meng, Wei Lu, Shuguang Han, Yu Chi. Automatic Citation Function Analysis with Rich Linguistic Features[C]// iConference. 2017. [全文]
  • 【101】曾金, 陆伟, 丁恒, 陈海华. 基于图像语义的用户兴趣建模. 数据分析与知识发现. 2017; 1(4): 76-83. [全文]
  • 【102】方龙,李信,黄永,陆伟.学术文本的结构功能识别——在关键词自动抽取中的应用[J].情报学报,2017,36(06):599-605. [全文]
  • 【103】Li X, Cheng Q, Lu W. CS-LAS: A Scientific Literature Retrieval and Analysis System Based on Term Function Recognition (TFR)[C]//ISSI. 2017: 1346-1356.
  • 【104】Lu W, Ding H. Measuring Standardized Concept Relationships for Knowledge-Oriented Standard Information Services[C]//IMCW 2016 [全文]
  • 【105】Gui S, Lu W. WHUIR at the NTCIR-12 Temporal Intent Disambiguation Task[C]//Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies. 2016. Tokyo, Japan: NTCIR, NTCIR-12. 285-287. [全文]
  • 【106】黄永, 陆伟, 程齐凯, 桂思思. 学术文本的结构功能识别——基于段落的识别[J]. 情报学报, 2016, 35(3):530–538. [全文]
  • 【107】方婧, 桂思思, 陆伟,徐晴. 美国图书情报硕士教育质量保障体系调查与分析[J]. 图书情报知识, 2016(2):39-47. [全文]
  • 【108】黄永, 陆伟, 程齐凯,桂思思. 学术文本的结构功能识别——在学术搜索中的应用[J]. 情报学报, 2016, 35(4):425-431. [全文]
  • 【109】Zhang Q, Cheng Q, Huang Y, Lu W. A Bootstrapping-based Method to Automatically Identify Data-usage Statements in Publications[J]. Journal of Data and Information Science, 2016, 9(1):69-85. [全文]
  • 【110】任珂, 陆伟, 丁恒. 查询专指度对检索效果的影响研究. 数据分析与知识发现. 2016; 32(11): 34-43. [全文]
  • 【111】黄永, 陆伟, 程齐凯,等. 学术文本的结构功能识别——基于段落的识别[J]. 情报学报, 2016, 35(5):293-300. [全文]
  • 【112】Lu W, Yue X, Cheng Q, et al. Inverse local context analysis: A method for exhaustively gathering documents from limited accessible data sources[J]. The Electronic Library, 2016, 34(3):405-418. [全文]
  • 【113】方婧, 陆伟. 微信公众号信息传播热度的影响因素实证研究[J]. 情报杂志, 2016, 35(2):157-162. [全文]
  • 【114】陆伟, 钱坤, 唐祥彬. 文献下载频次与被引频次的相关性研究——以图书情报领域为例[J]. 情报科学, 2016, 34(1):3-8. [全文]
  • 【115】刘兴帮, 陆伟, 孟睿. 基于多标签分类的引文全局功能识别研究[J]. 数字图书馆论坛, 2016(3):2-9. [全文]
  • 【116】周鹏程, 武川, 陆伟. 基于多知识库的短文本实体链接方法研究——以Wikipedia和Freebase为例[J]. 现代图书情报技术, 2016(6):1-11. [全文]
  • 【117】丁恒, 陆伟. 标准文献知识服务系统设计与实现[J]. 现代图书情报技术, 2016, 32(Z1):120-128. [全文]
  • 【118】丁恒, 陆伟. 基于相关性的跨模态信息检索研究[J]. 现代图书情报技术, 2016, 32(1):17-23. [全文]
  • 【119】黄永, 陆伟, 程齐凯. 学术文本的结构功能识别——基于章节内容的识别[J]. 情报学报, 2016, 35(3):293-300. [全文]
  • 【120】武川, 陆伟. 基于上下文特征的短文本实体链接研究[J]. 情报科学, 2016, V35(2):144-147. [全文]
  • 【121】黄永,陆伟,程齐凯,桂思思.学术文本的结构功能识别——在学术搜索中的应用[J].情报学报,2016,35(04):425-431.
  • 【122】黄永,陆伟,程齐凯,桂思思.学术文本的结构功能识别——基于段落的识别[J].情报学报,2016,35(05):530-538.
  • 【123】丁恒,陆伟,林霞,曹光超.医学图像模态特征表达及其比较研究[J].情报学报,2016,35(12):1296-1304. [全文]
  • 【124】Lioma C, Larsen B, Lu W, et al. A study of factuality, objectivity and relevance: Three desiderata in large-scale information retrieval?[C]//Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. 2016: 107-117. [全文]
  • 【125】Wang R, Lu W, Ren K. WHUIRGroup at the CLEF 2016 eHealth Lab Task 3[C]//CLEF (Working Notes). 2016: 193-197. [全文]
  • 【126】Lu W, Yue X, Cheng Q, et al. Inverse local context analysis: A method for exhaustively gathering documents from limited accessible data sources[J]. The Electronic Library, 2016, 34(3): 405-418. [全文]
  • 【127】Lioma C, Larsen B, Lu W, et al. A study of factuality, objectivity and relevance: three desiderata in large-scale information retrieval?[C]// Ieee/acm International Conference on Big Data Computing, Applications and Technologies. ACM, 2016:107-117. [全文]
  • 【128】丁恒, 陆伟, 林霞, 曹光超. 医学图像模态特征表达及其比较研究. 情报学报. 2016; 35(12): 1296-304. [全文]
  • 【129】黄永,陆伟,程齐凯.学术文本的结构功能识别——基于章节内容的识别[J].情报学报,2016,35(03):293-300. [全文]
  • 【130】桂思思, 方婧, 陆伟. 中美图书情报硕士专业学位教育质量保障体系比较分析及启示[J]. 图书情报工作, 2015(24):12-19. [全文]
  • 【131】桂思思, 陆伟, 黄诗豪,周鹏程. 融合主题模型及多时间节点函数的用户兴趣预测研究[J]. 现代图书情报技术, 2015, 31(9):9-16. [全文]
  • 【132】陈海华, 孟睿, 陆伟. 学术文献引文推荐研究进展[J]. 图书情报工作, 2015(15):133-143. [全文]
  • 【133】张秋子, 陆伟, 程齐凯,等. 基于最大熵模型的学术缩写自动识别[J]. 情报工程, 2015, 1(2):64-72. [全文]
  • 【134】冯晓华, 陆伟, 张晓娟. 检索结果多样化研究综述[J]. 情报学报, 2015, 34(7):776-784. [全文]
  • 【135】唐祥彬, 陆伟, 张晓娟,等. 查询专指度特征分析与自动识别[J]. 现代图书情报技术, 2015, 31(2):15-23. [全文]
  • 【136】杨海锋, 陆伟. 联邦检索研究综述[J]. 图书情报工作, 2015, 59(1):134-143. [全文]
  • 【137】陆伟, 武川. 实体链接研究综述[J]. 情报学报, 2015(1):105-112. [全文]
  • 【138】陆伟,武川.实体链接研究综述[J].情报学报,2015,34(01):105-112. [全文]
  • 【139】冯晓华,陆伟,张晓娟.检索结果多样化研究综述[J].情报学报,2015,34(07):776-784.
  • 【140】陆伟, 孟睿, 刘兴帮. 面向引用关系的引文内容标注框架研究[J]. 中国图书馆学报, 2014, 40(6):93-104. [全文]
  • 【141】陆伟, 黄永, 程齐凯,等. 学术文本的结构功能识别功能框架及基于章节标题的识别[J]. 情报学报, 2014(9):979-985. [全文]
  • 【142】陆伟,孟睿,刘兴帮.面向引用关系的引文内容标注框架研究[J].中国图书馆学报,2014,40(06):93-104. [全文]
  • 【143】Wu C, Lu W, Zhou P. An optimization framework for entity recognition and disambiguation[C]//Proceedings of the first international workshop on Entity recognition & disambiguation. 2014: 105-110. [全文]
  • 【144】Wang X, Cheng Q, Lu W. Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks[J]. Scientometrics, 2014, 101(2): 1253-1271. [全文]
  • 【145】Wu C, Lu W, Zhou P. An optimization framework for entity recognition and disambiguation[C]//Proceedings of the first international workshop on Entity recognition & disambiguation. 2014: 105-110. [全文]
  • 【146】Wang X, Cheng Q, Lu W. Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks[J]. Scientometrics, 2014, 101(2):1253-1271. [全文]
  • 【147】陆伟,黄永,程齐凯.学术文本的结构功能识别——功能框架及基于章节标题的识别[J].情报学报,2014,33(09):979-985. [全文]
  • 【148】陆伟, 程齐凯. 一种基于加权网络和句子窗口方案的信息检索模型[J]. 情报学报, 2013, 32(8):797-804. [全文]
  • 【149】张晓娟, 陆伟. 利用查询重构识别查询意图[J]. 现代图书情报技术, 2013, 29(1):8-14. [全文]
  • 【150】陆伟, 周红霞, 张晓娟. 查询意图研究综述[J]. 中国图书馆学报, 2013, 39(1):100-111. [全文]
  • 【151】陆伟,周红霞,张晓娟.查询意图研究综述[J].中国图书馆学报,2013,39(01):100-111. [全文]
  • 【152】Cheng Q, Wang X, Lu W, et al. NEViewer: a new software for analyzing the evolution of research topics[C]//Proceedings of the 14th international society of scientometrics and informetrics conference, Vienna. 2013: 15-19.
  • 【153】 Kun Lu, Wei Lu, Qikai Cheng, Shengwei Lei and Jiangen He. A Visualization Tool For Topic Evolution Among Research Fields[C]. ISSI2013.
  • 【154】陆伟,程齐凯.一种基于加权网络和句子窗口方案的信息检索模型[J].情报学报,2013,32(08):797-804. [全文]
  • 【155】Lioma C, Larsen B, Lu W. Rhetorical relations for information retrieval[C]// International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2012:931-940. (CCF A) [全文]
  • 【156】陆伟, 贺建根, 王晓光,等. 一种面向层次和时序结构的多维可视化技术[J]. 情报学报, 2012, 31(11):1131-1139. [全文]
  • 【157】陆伟, 张晓娟. 基于主题与用户偏好分析的查询推荐研究[J]. 情报学报, 2012, 31(12):1252-1258. [全文]
  • 【158】陆伟, 鞠源, 张晓娟,等. 产品命名实体特征选择与识别研究[J]. 图书情报知识, 2012(3):4-12. [全文]
  • 【159】朱梦娴, 程齐凯, 陆伟. 基于社会网络的学科主题聚类研究[J]. 情报杂志, 2012(11):40-44. [全文]
  • 【160】张晓娟, 陆伟, 程齐凯. PLSA在图情领域专家专长识别中的应用[J]. 现代图书情报技术, 2012, 28(2):76-81. [全文]
  • 【161】Lu W, Cheng Q, Lioma C. Fixed versus dynamic co-occurrence windows in TextRank term weights for information retrieval[C]//Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval. 2012: 1079-1080. [全文]
  • 【162】Wei Lu, Qi Wang, Birger Larsen. Simulating Aggregated Search. ECIR TBAS 2012
  • 【163】陆伟, 张晓娟. 基于主题与用户偏好分析的查询推荐研究[J]. 情报学报, 2012, 31(12):1252-1258. [全文]
  • 【164】陆伟,贺建根,王晓光等.一种面向层次和时序结构的多维可视化技术[J].情报学报,2012,31(11):1131-1139. [全文]
  • 【165】黄志方, 陆伟, 彭玉,等. 视线追踪技术在网络信息检索中的应用研究综述[J]. 信息资源管理学报, 2011(2):95-100. [全文]
  • 【166】张晓娟, 陆伟, 周红霞. 用户查询中潜在时间意图分析及其检索建模[J]. 现代图书情报技术, 2011(11):38-43. [全文]
  • 【167】陆伟, 刘屹, 孟睿,等. 基于域加权聚类算法的网络情热点话题探测[J]. 数字图书馆论坛, 2011(8):50-56. [全文]
  • 【168】Wu X, Lu W, Jiang J. Journal evaluation using the importance of authors in co-authorship network[M]//Proceedings of the 2011 iConference. 2011: 800-801. [全文]
  • 【169】 Xuefeng Wu, Wei Lu, Jiepu Jiang. Journal evaluation using the importance of authors in co-authorship network. IConference 2011 [全文]
  • 【170】陆伟, 彭玉, 陈武. 基于SOM的领域热点主题探测[J]. 现代图书情报技术, 2011, 27(1):63-68. [全文]
  • 【171】Wei Lu, Shuguang Han, Xiaojuan Zhang. Web Citations Inaccessibility and its solutions. Journal of Library Science in China, 2010 (2)
  • 【172】陆伟,刘杰,秦喜艳.基于专长词表的图情领域专家检索与评价[J].中国图书馆学报,2010,36(02):70-76. [全文]
  • 【173】Chen W, Lu W, Han S. Designing and implementation of expertise search & hotspot detecting system[C]//INC2010: 6th International Conference on Networked Computing. IEEE, 2010: 1-5. [全文]
  • 【174】 Wei Lu, Wu Chen. Designing and implementation of expertise search & hotspot detecting system. 6th International Conference on Networked Computing. 2010. [全文]
  • 【175】陆伟,刘杰,秦喜艳.基于专长词表的图情领域专家检索与评价[J].中国图书馆学报,2010,36(02):70-76.
  • 【176】陆伟,王伟,刘丹.学术期刊论文审稿人的自动选择研究[J].情报学报,2010,29(6):1138-1142. [全文]
  • 【177】 Jiepu Jiang, Wei Lu, Xianqian Rong and Yangyan Gao. Adapting Language Modeling Methods for Expert Search to Rank Wikipedia Entities. Advances in Focused Retrieval. LNCS, Volume 5631/2009. [全文]
  • 【178】陆伟,张宓,刘丹.基于XML文本片段的图像检索实现与评价[J].中国图书馆学报,2009,35(02):53-58. [全文]
  • 【179】陆伟,韩曙光,沈祥兴.网络引文不可追溯性及其解决方案研究[J].中国图书馆学报,2009,35(04):99-105,118. [全文]
  • 【180】Lu W , Macfarlane A , Venuti F . Okapi-based XML indexing[J]. Aslib Proceedings, 2009, 61(5):483-499. [全文]
  • 【181】陆伟,韩曙光,沈祥兴.网络引文不可追溯性及其解决方案研究[J].中国图书馆学报,2009,35(04):99-105,118. [全文]
  • 【182】Wei Lu, Andrew MacFarlane, Fabio Venuti. OKAPI based XML indexing. Aslib Proceedings. 2009, Vol. 63(5) :483-499. [全文]
  • 【183】Lu W, MacFarlane A, Venuti F. Okapi‐based XML indexing[C]//Aslib Proceedings. Emerald Group Publishing Limited, 2009. [全文]
  • 【184】Wei Lu, Dan Liu and Zhenzhen Fu. CSIR at INEX 2008 Link-the-Wiki Track. Advances in Focused Retrieval. LNCS, Volume 5631/2009.
  • 【185】Jiepu Jiang, Wei Lu. IR-Based Expert Finding Using Filtered Collection. In Proceedings of 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, China, 2008. [全文]
  • 【186】Wei Lu, Xiyan Qin, Wu Chen, Shuting Chen. Automatic Hotspots Recognition and Trends Prediction in Traditional Medicine. ITEM 2008. [全文]
  • 【187】Jiang J, Lu W, Rong X, et al. Adapting language modeling methods for expert search to rank Wikipedia entities[C]//International Workshop of the Initiative for the Evaluation of XML Retrieval. Springer, Berlin, Heidelberg, 2008: 264-272. [全文]
  • 【188】Lu W, Liu D, Fang F, et al. WHU-XML: An XML based digital library system[C]//2008 IEEE International Symposium on IT in Medicine and Education. IEEE, 2008: 380-384. [全文]
  • 【189】Lu W, Qin X, Chen W, et al. Automatic hotspots recognition and trends prediction in traditional medicine[C]//2008 IEEE International Symposium on IT in Medicine and Education. IEEE, 2008: 753-756. [全文]
  • 【190】Jiepu Jiang, Wei Lu, Haozhen Zhao. CSIR at TREC 2008 Expert Search Task: Modeling Expert Evidence in Expert Search. TREC 2008. [全文]
  • 【191】 Jiepu Jiang, Shuguang Han, Wei Lu. Expertise Retrieval Using Search Engine Results. In Proceedings of SIGIR 2008 workshop on Future Challenges on Expertise Retrieval, Singapore, 2008. [全文]
  • 【192】陆伟,韩曙光.组织专家的检索系统设计与实现[J].情报学报,2008,27(5):657-663. [全文]
  • 【193】Wei Lu, Stephen Robertson, Andrew Macfarlane, Haozhen Zhao. CISR at INEX 2006. Comparative Evaluation on XML Retrieval. LNCS. 2007. 57-63 [全文]
  • 【194】陆伟.元素级XML检索模型构建的关键问题与解决方案研究[J].中国图书馆学报,2007(06):58-61. [全文]
  • 【195】Jiang J, Lu W, Liu D. CSIR at TREC 2007 Expert Search Task[C]//TREC. 2007. [全文]
  • 【196】Zhao H, Luo Z, Lu W. WHU at Blog Track 2007[C]//TREC. 2007. [全文]
  • 【197】Lu W, Robertson S, Macfarlane A, et al. Window based Enterprise Expert Search[J]. NIST Special Publication SP 500-272, 2007. [全文]
  • 【198】Zhao H, Lu W. Using document weight combining method for enterprise expert mining[C]//2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007: 3721-3723. [全文]
  • 【199】陆伟.元素级XML检索模型构建的关键问题与解决方案研究[J].中国图书馆学报,2007(06):58-61. [全文]
  • 【200】 Stephen Robertson, Wei Lu, Andrew Macfarlane. XML-structured documents: retrievable units and inheritance. FQAS. 2006 121-132 [全文]
  • 【201】Wei Lu, Stephen Robertson, Andrew Macfarlane. Field-Weighted XML Retrieval Based on BM25. Advances on XML Retrieval and Evaluation. LNCS. 2006 126-137 [全文]
  • 【202】陆伟,夏立新.基于OKAPI的XML信息检索实现研究[J].中国图书馆学报,2006(04):60-64. [全文]
  • 【203】陆伟,Stephen Robertson.基于域加权词频法的XML文档级检索实现与评价[J].中国图书馆学报,2006(06):57-60. [全文]
  • 【204】Robertson S E , Lu W , Macfarlane A . XML-structured documents: retrievable units and inheritance[C]// International Conference on Flexible Query Answering Systems. Springer-Verlag, 2006. [全文]
  • 【205】Lu W , Robertson S E , Macfarlane A . CISR at INEX 2006[C]// Comparative Evaluation of XML Information Retrieval Systems, 5th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2006, Dagstuhl Castle, Germany, December 17-20, 2006, Revised and Selected Papers. DBLP, 2006. [全文]
  • 【206】陆伟. 基于传统文本检索系统的XML索引实现研究[J]. 情报学报, 2006, 25(6):679-685. [全文]
  • 【207】Lu W, Robertson S, Macfarlane A, et al. Window based Enterprise Expert Search[J]. NIST Special Publication SP 500-272, 2007. [全文]
  • 【208】陆伟,万维雅.基于认知观点的信息检索交互模型[J].中国图书馆学报,2005(02):54-57. [全文]
  • 【209】Lu, Wei & Robertson, Stephen & Macfarlane, Andrew. (2005). Field-weighted XML retrieval based on BM25. 3977. 161-171. 10.1007/11766278_12. [全文]
  • 【210】Lu W, Robertson S, Macfarlane A. Field-weighted XML retrieval based on BM25[C]//International Workshop of the Initiative for the Evaluation of XML Retrieval. Springer, Berlin, Heidelberg, 2005: 161-171. [全文]
  • 【211】姜婷婷,陆伟.基于万维网信息生态系统的信息构建[J].情报学报,2004,23(3):340-346. [全文]
  • 【212】Lu W, Du J, Zhang J, et al. Internet development in China[J]. Journal of Information Science, 2002, 28(3):207-224. [全文]
  • 【213】Lu W , Du J , Zhang J , et al. Internet development in China[J]. World Telecommunications, 2000, 28(3):207-224. [全文]
  • 【214】[1] 陆伟.基于组件结构的企业管理信息系统初探[J].情报学报,1999(S1):55-58. [全文]