尹红，女，讲师

邮件地址：yinhong at swpu dot edu dot cn

2024年12月毕业于重庆大学计算机学院，获工学博士学位，新加坡管理大学联合培养一年。研究方向包括数据挖掘、知识图谱、图异常检测等。 近年来，一共发表论文8篇，其中以第一作者在IEEE Transactions on Neural Networks and Learning Systems、Expert Systems with Application 等期刊、会议发表论文5篇。同时担任IEEE Transactions on Knowledge and Data Engineering等权威SCI期刊审稿人。

数据挖掘、知识图谱、图异常检测（欢迎对本研究方向感兴趣的学生与我联系，共同探讨和研究更多相关课题）

一作论文

[1]Hong Yin， Jiang Zhong, et al.“High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion”.IEEE Transactions on Neural Networks and Learning Systems, 2024. (TNNLS, 中科院一区 top)
[2]Hong Yin, Jiang Zhong, et al.“Disentangled Relational Graph Neural Network with Contrastive Learning for Knowledge Graph Completion”. Knowledge-Based Systems, 2024.(KBS,中科院一区 top)
[3]Hong Yin， Jiang Zhong, et al. “GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion”. Expert Systems with Applications, 2023.(ESWA, 中科院一区 top)
[4]Hong Yin，Jiang Zhong,et al.“ Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph”. European Conference on Artificial Intelligence.(ECAI 2023, long paper, CCF-B)
[5]Hong Yin，Jiang Zhong,et al.“ Facilitating Message Passing with Potential Links for Knowledge Graph Completion”.IEEE International Conference on Acoustics, Speech and Signal Processing. (ICASSP 2023, long paper, CCF-B)

合作论文

[6]“Enhancing Document-Level Relation Extraction with Relation-pecific Entity Representation and Evidence Sentence Augmentation”. European Conference on Artificial Intelligence.(ECAI 2023, CCF-B)
[7]“Joint Learning-based Multiple Documents Heterogeneous Graph Inference for Biomedical Entity Linking”. IEEE International Conference on Bioinformatics and Biomedicine.(BIBM 2023, CCF-B)
[8]“Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension”. International Conference on Advanced Data Mining and Applications (ADMA2023, CCF-C)

参与项目

1. 国家自然科学基金重点项目 “碎片化数据驱动的知识图谱动态增强方法研究”，主研（62176029，2021.06—2025.06）
2.  重庆市技术创新与应用发展–重点项目–“社会心态智能生态化监测及干预研究“，主研（ CSTB2023TIAD-KPX0064，2024.01—2027.01）
3. 2021年度研究生创新资助项目-重点项目- “基于外部知识的知识增强表示研究”，主研（ CYS22116，2021.09—2022.09）