一作論文 [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, 中科院一區(qū) 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,中科院一區(qū) 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, 中科院一區(qū) 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) 合作論文 [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) 參與項(xiàng)目 1. 國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目 “碎片化數(shù)據(jù)驅(qū)動(dòng)的知識(shí)圖譜動(dòng)態(tài)增強(qiáng)方法研究”，主研（62176029，2021.06—2025.06）
2. 重慶市技術(shù)創(chuàng)新與應(yīng)用發(fā)展–重點(diǎn)項(xiàng)目–“社會(huì)心態(tài)智能生態(tài)化監(jiān)測(cè)及干預(yù)研究“，主研（ CSTB2023TIAD-KPX0064，2024.01—2027.01）
3. 2021年度研究生創(chuàng)新資助項(xiàng)目-重點(diǎn)項(xiàng)目- “基于外部知識(shí)的知識(shí)增強(qiáng)表示研究”，主研（ CYS22116，2021.09—2022.09） |
