academic engagement (representative) |
publications |
[1] xu jin, li aicai, zhang yunhua. identification of development environment factors affecting the scale of ppp projects in china——modeling and analysis based on big data of ppp projects. management modernization, 2021, 41(04): 59-63. [2] zhang longguan, liu suimei, li kaifu, xu jin, wang shengnan, li qiang, mei yuanyuan, li caihong, yang bing. prediction of shield construction risks in subway tunnelling based on fault tree and bayesian network. modern tunnel technology, 2021, 58(05): 21-29 55. [3] xu jin, zhu xiaowen. research on project memory capturing method based on information extraction. intelligence theory and practice, 2020, 43(08): 167-172. [4] xu jin, liu lisha, zhang longguan, et al. research on multi-label prediction model for shield faults based on pca-lstm. journal of shandong agricultural university (natural science edition), 2019, 50(06): 1005-1009. [5] xu jin, deng leling. study on community detection of railway passenger social networks based on louvain algorithm. shandong journal of agricultural university (natural science edition), 2018, 49(04): 722-725. [6] jiadong zhang, chi-yin chow, jin xu. enabling kernel-based attribute-aware matrix factorization for rating prediction. ieee transactions on knowledge and data engineering, 2017, 29(4): 798-812. [7] long liu, jin xu, stephen s. y, et al. a real-time personalized route recommendation system for self-drive tourists based on vehicle to vehicle communication. expert systems with applications, 2014, 41(7): 3409–3417. [8] jiadong zhang, jin xu, stephen s. y. aggregating and sampling methods for processing gps data streams for traffic state estimation. ieee transactions on intelligent transportation systems, 2013, 14(4): 1629-1641. [9] jiadong zhang, jin xu, stephen s. y. sampling methods for summarizing unordered vehicle-to-vehicle data streams. transportation research part c: emerging technologies. 2012, 23: 56–67. [10] kaiquan xu, wei wang, jimmy ren, jin xu, long liu, stephen liao. classifying consumer comparison opinions to uncover product strengths and weaknesses. international journal of intelligent information technologies, 2011, 7(1): 1-14. [11] jin xu, ou y. review and prospect of foreign project memory research. management modernization, 2016, (6): 17-120. [12] zhou guohua, ma dan, xu jin, ren ji fan. a study on the influence of organizational context on investigators' willingness to share knowledge. management review, 2014, 26(5): 61-70. |
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projects |
[1] research on data-driven cross-project knowledge transfer methods: knowledge graph and transfer learning perspective. national natural science foundation of china general program (project no. p111021g02002). january 2022-december 2025. principle investigator. [2] research on the construction of dynamic passenger relationship network and law exploration based on comprehensive traffic big data. humanities and social sciences project of the ministry of education (project no.: none). july 2021-december 2023. principle investigator. [3] overall development of vanadium-titanium and iron and steel industries in panxi area and research on new vanadium-titanium materials. project source: sichuan lomon mining and metallurgy co., ltd. (project no.: kyl202111-0080). november 2021-december 2021. investigator. [4] research on comprehensive utilization of panzhihua resources and development of new titanium alloys. project source: panzhihua steel city group co., ltd. (project no.: none). september 2021-december 2021. investigator. [5] research on real-time intelligent control technology of shield attitude based on artificial intelligence and big data analysis. project source: china railway engineering service co., ltd. (project no.: wr111020h02001). november 2019-december 2020. principle investigator. [6] research on intelligent tunneling method of shield machine based on big data and deep learning (shenyang area). project source: china railway engineering service co., ltd. (project no.: 2019h010331). december 2018-may 2019. principle investigator. [7] chengdu advanced materials industrial park fiberglass and composite materials research on industrial technology roadmap-supporting. chengdu soft science project (project no.: q111020q01002). september 2018-june 2020. principle investigator. [8] chengdu advanced materials industrial park glass fiber and composite materials research on technology roadmap of materials industry. other projects in chengdu (project no.: 2019s260030). september 2018-august 2019. principle investigator. [9] research on the relationship network of railway passenger travel in sichuan based on big data. sichuan provincial education department project (project no.: 2017s31043). june 2017-december 2019. principle investigator. [10] research on intelligent tunneling method of shield machine based on big data and deep learning. project source: china railway engineering service co., ltd. (formerly china railway engineering equipment group electromechanical engineering co., ltd.) (project no.: 2018h01219). december 2017-december 2018. principle investigator. [11] research on business analytics, computing techniques and platforms in the context of big data. national social science foundation of china (project no.: 71490725). 2015-2019. investigator. [12] research on the methods of extracting and representing project knowledge contexts: a big data perspective based on topic models and knowledge map. national social science foundation of china (project no.: 71472158). 2015-2018. principal investigator. |
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