Mingjing Tang

20 papers Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Molecular graph-based invariant representation learning with environmental inference and subgraph generation for out-of-distribution generalization.
J. Cheminformatics
Hang Zhu, Sisi Yuan, Mingjing Tang, Guifei Zhou, Zhanxuan Hu, Zhaoyang Liu, Jin Li, Jianmin Wang, Chunyan Li
2025 — conf
DGATGRN: A Directed Graph Attention Network Framework for Inferring Gene Regulatory Networks from scRNA-Seq Data.
BIBM
Tong Zi, Mingjing Tang, Kui Jin, Yuxi Liu, Chunyan Li, Wei Gao
2025 J jnl
HMKRec: Optimize multi-user representation by hypergraph motifs for knowledge-aware recommendation.
Eng. Appl. Artif. Intell.
Di Wu, Mingjing Tang, Shu Zhang, Wei Gao
2025 J jnl
HSEKT-GS: Hypergraph structure-enhanced for knowledge tracing with gumbel-softmax sampling.
Knowl. Based Syst.
Yufei Li, Mingjing Tang, Jun Shen, Shuaishuai Zu, Wei Gao
2024 J jnl
EPAN-SERec: Expertise preference-aware networks for software expert recommendations with knowledge graph.
Expert Syst. Appl.
Mingjing Tang, Di Wu, Shu Zhang, Wei Gao
2023 J jnl
AttenSy-SNER: software knowledge entity extraction with syntactic features and semantic augmentation information.
Complex Intell. Syst.
Mingjing Tang, Tong Li, Wei Gao, Yu Xia
2023 J jnl
Bi-directional matrix completion for highly incomplete multi-label learning via co-embedding predictive side information.
Appl. Intell.
Yuelong Xia, Mingjing Tang, Pei Wang
2023 J jnl
Fine-grained Potato Disease Identification Based on Contrastive Convolutional Neural Networks.
Appl. Artif. Intell.
Yu Xia, Mingjing Tang, Wei Tang
2023 J jnl
KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation.
Complex Intell. Syst.
Di Wu, Mingjing Tang, Shu Zhang, Ao You, Wei Gao
2023 J jnl
SCL-SKG: software knowledge extraction with span-level contrastive learning.
Artif. Intell. Rev.
Mingjing Tang, Shu Zhang, Ming Zheng, Zifei Ma, Wei Gao
2023 J jnl
Searching for protein variants with desired properties using deep generative models.
BMC Bioinform.
Yan Li, Yinying Yao, Yu Xia, Mingjing Tang
2022 J jnl
A Method for Analyzing the Performance Impact of Imbalanced Binary Data on Machine Learning Models.
Axioms
Ming Zheng, Fei Wang, Xiaowen Hu, Yuhao Miao, Huo Cao, Mingjing Tang
2021 J jnl
An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification.
Knowl. Based Syst.
Ming Zheng, Tong Li, Liping Sun, Taochun Wang, Biao Jie, Weiyi Yang, Mingjing Tang, Changlong Lv
2021 J jnl
Software Knowledge Entity Relation Extraction with Entity-Aware and Syntactic Dependency Structure Information.
Sci. Program.
Mingjing Tang, Tong Li, Wei Wang, Rui Zhu, Zifei Ma, Yahui Tang
2020 — conf
A Data Trading Scheme Based on Payment Channel Network for Internet of Things.
BlockSys
Dunfeng Li, Yong Feng, Yao Xiao, Mingjing Tang, Xiaodong Fu
2020 J jnl
A data-driven risk measurement model of software developer turnover.
Soft Comput.
Zifei Ma, Ruiyin Li, Tong Li, Rui Zhu, Rong Jiang, Juan Yang, Mingjing Tang, Ming Zheng
2020 — conf
Clustering Analysis Method of Ethnic Cultural Resources Based on Deep Neural Network Model.
ML4CS (3)
Mingjing Tang, Chao Sun, Li Liang
2020 J jnl
Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification.
Inf. Sci.
Ming Zheng, Tong Li, Rui Zhu, Yahui Tang, Mingjing Tang, Leilei Lin, Zifei Ma
2020 — conf
Software Entity Recognition Method Based on BERT Embedding.
ML4CS (3)
Chao Sun, Mingjing Tang, Li Liang, Wei Zou
2019 J jnl
Traffic Accident's Severity Prediction: A Deep-Learning Approach-Based CNN Network.
IEEE Access
Ming Zheng, Tong Li, Rui Zhu, Jing Chen, Zifei Ma, Mingjing Tang, Zhongqiang Cui, Zhan Wang