Data Augmentation in Training Deep Learning Models for Malware Family Classification. - Yuxin Ding; Guangbin Wang; Yubin Ma; Haoxuan Ding (ICMLC, 2021)

A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology. - Yubin Ma; Yuxin Ding; Wen Qian (AHPCAI, 2022)

RotatSAGE: A Scalable Knowledge Graph Embedding Model Based on Translation Assumptions and Graph Neural Networks. - Yubin Ma; Yuxin Ding; Guangbin Wang (DMBD (1), 2022)

Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information. - Guangbin Wang; Yuxin Ding; Yiqi Su; Zihan Zhou 014; Yubin Ma; Wen Qian (ICONIP (4), 2022)

RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks. - Guangbin Wang; Yuxin Ding; Zhibin Xie; Yubin Ma; Zihan Zhou 014; Wen Qian (IJCNN, 2022)

A knowledge graph completion model based on contrastive learning and relation enhancement method. - LinYu Li 001; Xuan Zhang 002; Yubin Ma; Chen Gao 006; Jishu Wang; Yong Yu 009; Zihao Yuan; Qiuying Ma (Knowl. Based Syst., 2022)

Enhancing recommendations with contrastive learning from collaborative knowledge graph. - Yubin Ma; Xuan Zhang 002; Chen Gao 006; Yahui Tang; LinYu Li 001; Rui Zhu; Chunlin Yin (Neurocomputing, 2023)

Temporal knowledge graph reasoning based on evolutional representation and contrastive learning. - Qiuying Ma; Xuan Zhang 002; Zishuo Ding; Chen Gao 006; Weiyi Shang; Qiong Nong; Yubin Ma; Zhi Jin (Appl. Intell., 2024)

Knowledge-enhanced prototypical network with graph structure and semantic information interaction for low-shot joint spoken language understanding. - Kunpeng Du; Xuan Zhang 002; Chen Gao 006; Weiyi Shang; Yubin Ma; Zhi Jin; LinYu Li 001 (Expert Syst. Appl., 2025)

Neighborhood structure enhancement and denoising method for multi-behavior recommendation. - Wei Cai; Zhihong Zheng; Xuan Zhang 002; Weiyi Shang; Yubin Ma; Wenjie Gao; Zhi Jin (Neural Networks, 2025)