Research on Optimization of 4G-LTE Wireless Network Cells Anomaly Diagnosis Algorithm based on Multidimensional Time Series Data. - Bing Qian; Chong Ma; Tong Zhang (IoTBDS, 2021)

Detection of mobile network abnormality using deep learning models on massive network measurement data. - Bing Qian; Shun Lu 005 (Comput. Networks, 2021)

An Interactive Multi-task Learning Model for Aspect-Based Sentiment Analysis. - Bing Qian; Rongting Wei; Yuexin Wu; Chong Ma (ICCCS, 2023)

iLSGRN: inference of large-scale gene regulatory networks based on multi-model fusion. - Yiming Wu; Bing Qian; Anqi Wang; Heng Dong; Enqiang Zhu; Baoshan Ma (Bioinform., 2023)

Prompt-WNQA: A prompt-based complex question answering for wireless network over knowledge graph. - Pei Liu; Bing Qian; Qi Sun; Longgang Zhao (Comput. Networks, 2023)

Span prompt dense passage retrieval for Chinese open domain question answering. - Chunxiao Fan 001; Zhen Yan; Yuexin Wu; Bing Qian (J. Intell. Fuzzy Syst., 2023)

Cellular fault prediction of graphical representation based on spatio-temporal graph convolutional networks. - Bing Qian; Hanlei Xie; Wei Wu; Yan Yang (Comput. Commun., 2024)

Utilizing contextual summarizing and reasoning for enhancing document-level event argument extraction. - Kai Shuang; Ji Zhou; Qiwei Wang; Bing Qian; Yunhao Wei; Jinyu Guo (Expert Syst. Appl., 2025)

Bi-directional feature learning-based approach for zero-shot event argument extraction. - Ji Zhou; Kai Shuang; Qiwei Wang; Bing Qian; Jinyu Guo (Inf. Process. Manag., 2025)

From local verification to global reasoning: Exploiting slot-accompanying update for improved slot selection. - Bing Qian; Jinyu Guo; Qiwei Wang; Kai Shuang (Knowl. Based Syst., 2025)