Traffic Accident's Severity Prediction: A Deep-Learning Approach-Based CNN Network. - Ming Zheng; Tong Li 004; Rui Zhu; Jing Chen; Zifei Ma; Mingjing Tang; Zhongqiang Cui; Zhan Wang (IEEE Access, 2019)

A Data Trading Scheme Based on Payment Channel Network for Internet of Things. - Dunfeng Li; Yong Feng 004; Yao Xiao; Mingjing Tang; Xiaodong Fu (BlockSys, 2020)

Software Entity Recognition Method Based on BERT Embedding. - Chao Sun; Mingjing Tang; Li Liang; Wei Zou (ML4CS (3), 2020)

Clustering Analysis Method of Ethnic Cultural Resources Based on Deep Neural Network Model. - Mingjing Tang; Chao Sun; Li Liang (ML4CS (3), 2020)

Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification. - Ming Zheng; Tong Li 004; Rui Zhu; Yahui Tang; Mingjing Tang; Leilei Lin; Zifei Ma (Inf. Sci., 2020)

A data-driven risk measurement model of software developer turnover. - Zifei Ma; Ruiyin Li; Tong Li 004; Rui Zhu; Rong Jiang; Juan Yang; Mingjing Tang; Ming Zheng (Soft Comput., 2020)

An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification. - Ming Zheng; Tong Li 004; Liping Sun; Taochun Wang; Biao Jie; Weiyi Yang; Mingjing Tang; Changlong Lv (Knowl. Based Syst., 2021)

Software Knowledge Entity Relation Extraction with Entity-Aware and Syntactic Dependency Structure Information. - Mingjing Tang; Tong Li 004; Wei Wang 140; Rui Zhu; Zifei Ma; Yahui Tang (Sci. Program., 2021)

A Method for Analyzing the Performance Impact of Imbalanced Binary Data on Machine Learning Models. - Ming Zheng; Fei Wang; Xiaowen Hu; Yuhao Miao; Huo Cao; Mingjing Tang (Axioms, 2022)

SCL-SKG: software knowledge extraction with span-level contrastive learning. - Mingjing Tang; Shu Zhang 011; Ming Zheng; Zifei Ma; Wei Gao (Artif. Intell. Rev., 2023)

Fine-grained Potato Disease Identification Based on Contrastive Convolutional Neural Networks. - Yu Xia; Mingjing Tang; Wei Tang (Appl. Artif. Intell., 2023)

Bi-directional matrix completion for highly incomplete multi-label learning via co-embedding predictive side information. - Yuelong Xia; Mingjing Tang; Pei Wang 016 (Appl. Intell., 2023)

Searching for protein variants with desired properties using deep generative models. - Yan Li; Yinying Yao; Yu Xia; Mingjing Tang (BMC Bioinform., 2023)

EPAN-SERec: Expertise preference-aware networks for software expert recommendations with knowledge graph. - Mingjing Tang; Di Wu; Shu Zhang 011; Wei Gao (Expert Syst. Appl., 2024)

HMKRec: Optimize multi-user representation by hypergraph motifs for knowledge-aware recommendation. - Di Wu; Mingjing Tang; Shu Zhang 011; Wei Gao (Eng. Appl. Artif. Intell., 2025)