研究领域

主要研究兴趣包括社会网络分析、个性化信任评价与推荐、在线用户行为分析与观点挖掘、智慧教育与学习优化等。在相关领域有多年的研究经验，发表50余篇高质量论文，申请国家发明专利20余项。包括JCR1区期刊ACM Computing Surveys、CCF推荐的A类期刊IEEE TOC，IEEE TPDS和A类会议IEEE INFOCOM、WWW、AAAI，B类期刊ACM TOIT，ACM TWeb, ACM TKDD, B类会议ACM CIKM等。曾获湖南省自然科学二等奖、湖南省优秀博士学位论文、ACM长沙区优秀博士。 研究工作受到国家自然科学基金、湖南省自然科学基金、长沙市科技计划以及之江实验室开放课题等资助。2017年被湖南大学评聘为岳麓学者（晨星岗）。

论文与著作

会议论文

[1] Xueqi Li, Wenjun Jiang*, Weiguang Chen, Jie Wu, Guojun Wang and Kenli Li, "Directional and Explainable Serendipity Recommendation,"  Proceedings of the 32nd ACM International World Wide Web Conference (WWW 2020), pp. 122-132, Tanpei, April 20-24, 2020. https://doi.org/10.1145/3366423.3380100 ( CCF A类会议)

[2] Jiqing Gu, Chao Song, Wenjun Jiang, Xiaomin Wang, Ming Liu, “Enhancing Personalized Trip Recommendation with Attractive Routes”, Proceedings of the AAAI Conference on Artificial Intelligence, 34(01), 662-669. https://doi.org/10.1609/aaai.v34i01.5407, 2020.  (CCF A类会议)

[3] Jingjing Wang, Yanhao Wang, Wenjun Jiang*, Yuchen Li, and Kian-Lee Tan. 2020. Efficient Sampling Algorithms for Approximate Temporal Motif Counting. In The 29th ACM International Conference on Information and Knowledge Management (CIKM ’20), Pages 1505-1514, October 19–23, 2020, Virtual Event, Ireland. https://doi.org/10.1145/3340531.3411862. ( CCF B类会议)

[4] Ang Li, Wenjun Jiang*, Xueqi Li, Xinrong Chen, and Guojun Wang. 2020. Independent Worker Selection in Crowdsourcing. Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1173-1178. 2020.  DOI 10.1109/TrustCom50675.2020.00157

[5] Xueqi Li, Wenjun Jiang*, Weiguang Chen, Jie Wu and Guojun Wang, "HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity," accepted to appear in Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), CIKM 2019: 1503-1512, Beijing, November 3-7, 2019. ( CCF B类会议)

[6] Wenjun Jiang* and Jie Wu, “Active Opinion Formation Online Social Networks,” Proc. IEEE INFOCOM, pp. 1440-1448, 2017. (CCF A类会议)

[7] Wenjun Jiang, Jie Wu, Guojun Wang, and Huanyang Zheng, “FluidRating: A Time-Evolving Rating Scheme in Trust-based Recommendation Systems Using Fluid Dynamics,” Proc. IEEE INFOCOM, pp. 1707-1715, 2014. ( CCF A类会议)

期刊论文

[1] Jing Chen, Wenjun Jiang*, Jie Wu, Kenli Li, and Keqin Li. 2023. Dynamic Personalized POI Sequence Recommendation with Fine-Grained Contexts. ACM Trans. Internet Technol. 00, JA, Article 00 (February 2023), 28 pages. https://doi.org/10.1145/3583687

[2] Jiawei He, Wenjun Jiang*, Guobang Chen, Yuquan Le, and Xiaofei Ding. Enhancing N-Gram Based Metrics with Semantics for Better Evaluation of Abstractive Text Summarization[J]. Journal of Computer Science and Technology, 2022, 37(5): 1118-1133. https://jcst.ict.ac.cn/CN/10.1007/s11390-022-2125-6 

[3] Mingmin Shao, Wenjun Jiang, Jie Wu, Yuqing Shi, TakShing Yum, and Ji Zhang. Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest[J].Journal of Computer Science and Technology, 2022, 37(6): 1444-1463. https://jcst.ict.ac.cn/EN/10.1007/s11390-021-2124-z   

 [4] Jingjing Wang, Wenjun Jiang*, Kenli Li, Guojun Wang and Keqin Li. 2021. Incremental Group-level Popularity Prediction in Online Social Networks. ACM Transactions on Internet Technology, Volume 22, Issue 1, February 2022,  Article No.: 20, pp 1–26, https://doi.org/10.1145/3461839（JCR Q3，IF:1.598，CCF B类） 

[5] Wenjun Jiang*, Jing Chen, Xiaofei Ding, Jie Wu, Jiawei He, and Guojun Wang. 2021. Review Summary Generation in Online Systems: Frameworks for Supervised and Unsupervised Scenarios. ACM Trans. Web 15, 3, Article 13 (May 2021), 33 pages. https://doi.org/10.1145/3448015（JCR Q3,CCF B类，IF=1.157）

[6] Chunli Huang, Wenjun Jiang*, Jie Wu, and Guojun Wang, “Personalized Review Recommendation based on Users’ Aspect Sentiment,”  ACM Transactions on Internet Technology (TOIT), 20(4), artcle 42, https://doi.org/10.1145/3414841, 2020.  [SCI&EI检索，IF:1.598，CCF B类]

[7] Jifeng Zhang, Wenjun Jiang*, Jinrui Zhang, Jie Wu, and Guojun Wang. 2021. Exploring Weather Data to Predict Activity Attendance in Event-based Social Network: From the Organizer’s View. ACM Trans. Web 15, 2, Article 10 (May 2021), 25 pages. https://doi.org/10.1145/3440134 （JCR Q3,CCF B类，IF=1.157）

[8] Peike Xia, Wenjun Jiang*, Jie Wu, Surong Xiao, and Guojun Wang. 2021. Exploiting Temporal Dynamics in Product Reviews for Dynamic Sentiment Prediction at the Aspect Level. ACM Trans. Knowl. Discov. Data. 15, 4, Article 68 (April 2021), 29 pages https://doi.org/10.1145/3441451（JCR Q2,CCF B类，IF=2.010）

[9] Jingjing Wang, Wenjun Jiang*, Kenli Li, and Keqin Li. 2021. Reducing Cumulative Errors of Incremental CP Decomposition in Dynamic Online Social Networks. ACM Trans. Knowl. Discov. Data. 15, 3, Article 42 (April 2021), 33 pages. https://doi.org/10.1145/3441645 （JCR Q2,CCF B类，IF=2.010）

 [10] Wenjun Jiang, Guojun Wang*, M. Alam Bhuiyan, and J. Wu, “Understanding Graph-based Trust Evaluation in Online Social Networks: Methodologies and Challenges,” ACM Computing Surveys (CSUR), 49(1), Article 10, May 2016. Doi:10.1145/2906151. (JCR 1区，IF=6.131)   

[11] Wenjun Jiang, Jie Wu, Feng Li, Guojun Wang, Huanyang Zheng,“Trust Evaluation in Online Social Networks Using Generalized Network Flow,”IEEE Transactions on Computers, 65(3): 952-963, 2016. (CCF A类期刊，IF=3.131)   [12] Wenjun Jiang, J. Wu, G. Wang and H. Zheng, “Forming Opinions via Trusted Friends: Time-evolving Rating Prediction Using Fluid Dynamics,” IEEE Transactions on Computers, 65(4):1211 - 1224, 2016. (CCF A类期刊，IF=3.131)