近年发表的部分论文

[1]Ling Wu#, Xiaohua Xie, Chengkai Chen, Yingjie Yang, Kun Guo. Tracking Dynamic Community Evolution based on Social Relevance and Strong Events[J]. Knowledge and Information Systems, 2025.

[2]Ling Wu#, Yanru Tian,Jinlu Lu, Kun Guo*. AAHIN: Attribute-aware Heterogeneous Information Network Representation Learning for Data Mining[J]. International Journal of Intelligent Systems，2025，21（2）：158-179.

[3]Ling Wu#, Qishan Zhang, Kun Guo*, et al. Dynamic Community Detection Method based on an Improved Evolutionary Matrix[J]. Concurrency and Computation: Practice and Experience, 2021, 33(8): e5314.

[4]Ling Wu#, Qishan Zhang*, Chi-Hua Chen*, Kun Guo, et al. Deep learning techniques for community detection in social networks[J]. IEEE Access, 2020, 8: 96016-96026.

[5]Ling Wu#, Chi-Hua Chen*, Qishan Zhang. A Mobile Positioning Method Based on Deep Learning Techniques[J]. Electronics. 2019, 8(1): 59.

[6]Ling Wu#, Qishan Zhang*, Kun Guo, et al. Identification of overlapping community structure with Grey Relational Analysis in social networks[J], The Journal of Grey System, 2016, 28(1): 98-108.

[7]Kun Guo, Gaosheng Lin, Ling Wu*. An autoencoder considering multi-order and structural-role similarity for community detection in attributed networks[J]. Applied Intelligence, 2023, 53(17): 20365-20381.

[8]Kun Guo, Qinze Wang, Jiaqi Lin, Ling Wu*, Wenzhong Guo, Kuo-Ming Chao. Network representation learning based on community-aware and adaptive random walk for overlapping community detection[J]. Applied Intelligence, 2022, 52(9): 9919-9937.

[9]Lijuan Weng, Qishan Zhang, Zhibin Lin, Ling Wu*, Jin-Hua Zhang. Integrating interactions between target users and opinion leaders for better recommendations: An opinion dynamics approach[J]. Computer Communications, 2023, 198: 98-107.

[10]Junxiang Wang, Canyang Guo and Ling Wu*. Gated recurrent unit with RSSIs from heterogeneous network for mobile positioning[J]. Mobile Information Systems, 2021, 2021: 1-7.