1. Xingyao Yang,Mengxue Chang,Jiong Yu,Dongxiao Wang,Zibo Dang,Hyperbolic Multichannel Graph Convolutional Network for Social Recommendation,Journal of Intelligent & Fuzzy Systems,2024,46(4):9543-9557(SCI三区) 2. Xingyao Yang,Zibo Dang,Jiong Yu,Zhiqiang Zhong,Mengxue Chang,Zulian Zhang,Sequence Recommendation Algorithm Fusing Filter and Transformer under Joint Training,Journal of Intelligent & Fuzzy Systems,2024,46(1):941-953(SCI三区) 3. Hongtao Shen,Xingyao Yang,Shuangquan Li,Jiong Yu,Zhilin Li,Zheng Qi,Frequency Feature Enhanced Mix Calibration Attention Network for Sequential Recommendation[C],The 7th Chinese Conference on Pattern Recognition and Computer Vision PRCV 2024,2024(CCF C区) 4. Shuangquan Li,Xingyao Yang,Hongtao Shen,Jiong Yu,Yanfu Wu,Adaptive Multi-Information Feature Fusion MLP with Filter Enhancement for Sequential Recommendation[C],The 7th Chinese Conference on Pattern Recognition and Computer Vision PRCV 2024,2024(CCF C区) 5. 杨兴耀,陈羽,于炯,张祖莲,陈嘉颖,王东晓,结合自我特征和对比学习的推荐模型,计算机应用,2024(网络首发) 6. 杨兴耀,沈洪涛,张祖莲,于炯,陈嘉颖,王东晓,基于层级过滤器和时间卷积增强自注意力网络的序列推荐,计算机应用,2024(网络首发) 7. 杨兴耀,李志林,张祖莲,于炯,陈嘉颖,王东晓,基于层间融合滤波器和社交神经引文网络的推荐算法,计算机工程,2024(网络首发) 8. 杨兴耀,马帅,张祖莲,于炯,陈嘉颖,王东晓,基于偏好感知的去噪图卷积网络社交推荐,计算机工程,2024(网络首发) 9. 杨兴耀,张君,于炯,李梓杨,许凤,梁灏文,基于排序蒸馏的序列化推荐算法,计算机工程与设计,2024,45(8):2475-2483 10. 杨兴耀,卢进堂,肖瑞,张利飞,曾利文,基于CTC与Transformer的普通话单音节发音错误检测,东北师大学报(自然科学版),2024,56(1):87-95 11. Xingyao Yang,Feng Xu,Jiong Yu,Ziyang Li,DongXiao Wang,Graph Neural Network-Guided Contrastive Learning for Sequential Recommendation,Sensors,2023,23(12):5572-5583(SCI二区) 12. Xingyao Yang,Shaodong Zhang,Rui Xiao,Jiong Yu,Ziyang Li,Speech Recognition of Accented Mandarin Based on Improved Conformer,Sensors,2023,23(8):4025-4037(SCI二区) 13. Xingyao Yang,Jinchen Wu,Jiong Yu,Interest-Aware Message-Passing Layer-Refined Graph Convolutional Network for Recommendation,Symmetry,2023,15(5):1013-1027(SCI三区) 14. Xingyao Yang,Jun Zhang,Jiong Yu,Ziyang Li,Serialized Recommendation Algorithm Based on Bidirectional Distillation[C],2023 3rd Asia-Pacific Conference on Communications Technology and Computer Science,ACCTCS 2023,2023:125-130(EI) 15. Xingyao Yang,Yansong Liu,Jiong Yu,Ziyang Li,Integration of Multiple Time Embedding and GLU for Sequential Recommendation[C],2022 IEEE 4th International Conference on Power,Intelligent Computing and Systems,ICPICS 2022,2022:655-660(EI) 16. Xingyao Yang,Haowen Liang,Jiong Yu,Ziyang Li,Chenyu Li,Jun Zhang,Time and Space Aggregation Recommendation Model Based on Synthetic Negative Samples[C],2022 International Symposium on Advances in Informatics,Electronics and Education,ISAIEE 2022,2022:310-315(EI) 17. 杨兴耀,李想,于炯,郑捷,黄仲浩,简化且多层结合的知识图谱卷积网络推荐算法,计算机工程与应用,2023,59(12):106-112 18. Shaodong Zhang,Xingyao Yang,Jiong Yu,Ziyang Li,Yansong Liu,Sequence Recommendation Based on Contrast Learning and Fourier Transform,Journal of University of Electronic Science and Technology of China,2023,52(04):610-619(EI) 19. 许凤,杨兴耀,于炯,李梓杨,李晨瑜,张君,小波卷积增强的对比学习推荐算法,计算机工程,2023,49(5):105-111+121 20. 邬锦琛,杨兴耀,于炯,李梓杨,黄擅杭,孙鑫杰,双通道异构图神经网络序列推荐算法,计算机科学与探索,2023,17(06):1473-1486 21. 黄仲浩,杨兴耀,于炯,郭亮,李想,基于多阶段多生成对抗网络的互学习知识蒸馏方法,计算机科学,2022,49(10):169-175 22. 郑捷,杨兴耀,于炯,李想,基于人工蜂群的移动终端大数据半监督推荐,计算机仿真,2022,39(07):497-501 23. 胡皓禹,杨兴耀,于炯,郑捷,钱育蓉,基于对象特征组合联合知识图谱的推荐系统,微电子学与计算机,2022,39(07):36-43 24. 李想,杨兴耀,于炯,钱育蓉,郑捷,基于知识图谱卷积网络的双端推荐算法,计算机科学与探索,2022,16(01):176-184 25. 郭亮,杨兴耀,于炯,韩晨,黄仲浩,基于注意力机制和门控网络相结合的混合推荐系统,计算机科学,2022,49(06):158-164 26. 韩晨,杨兴耀,于炯,郭亮,胡皓禹,基于知识图谱的双重感知网络推荐算法,微电子学与计算机,2022,39(08):11-20 27. 郑捷,杨兴耀,李想,基于CiteSpace的推荐系统研究可视化分析,科学技术与工程,2021,21(34):14634-14643 28. Khan Alamgir,Yang Xingyao,Muhammad Fayaz,Tanmay Ghosh,Computer-Aided Diagnostic System for Digital Mammography, Information Technology in Industry,2021,9(2):2203-1731 29. 杨兴耀,田生伟,张文东,安海兵,马梦楠,校企合作框架下的Java课程教学改革研究,移动信息,2021,(6):1-2 30. 杨兴耀,田生伟,钱育蓉,吕小毅,张文东,计算机专业若干基础核心课程教学的几点思考,教育科学,2020,(08):205+207 31. 杨兴耀,汪烈军,钱育蓉,孙华,田生伟,C语言程序设计项目教学平台建设,数码设计,2018,7(08):8-9 32. 杨兴耀,于炯,吐尔根·依布拉音,廖彬,英昌甜,基于信任模型填充的协同过滤推荐模型,计算机工程,2015,41(05):6-13 33. 杨兴耀,于炯,吐尔根·依布拉音,廖彬,综合用户和项目预测的协同过滤模型,计算机应用,2013,33(12):3354-3358 34. 杨兴耀,于炯,吐尔根·依布拉音,钱育蓉,孙华,考虑项目属性的协同过滤推荐模型,计算机应用,2013,33(11):3062-3066 35. 杨兴耀,于炯,吐尔根·依布拉音,英昌甜,闫歌,评分可信度条件下的协同过滤模型,微电子学与计算机,2013,30(10):25-28 36. 杨兴耀,于炯,吐尔根·依布拉音,廖彬,钱育蓉,融合奇异性和扩散过程的协同过滤模型,软件学报,2013,24(8):1868-1884 37. 杨兴耀,于炯,吕良干,信任驱动机制下的网格负载调度算法,计算机工程,2011,37(8):262-264 38. 陈嘉颖,于炯,杨兴耀,一种融合语义分析特征提取的推荐算法,计算机研究与发展,2020,57(3):562-575 39. 赵燚,钱育蓉,杨兴耀,汪丽娟,基于四叉树和R+树复合索引时空数据查询研究,yl7703永利官网学报(自然科学版),2020,37(1):49-54 40. 鲜英,于炯,杨兴耀,薛朋强,融合微聚集隐私保护的协同过滤算法研究,现代电子技术,2018,41(6):5-10 41. 金亮,于炯,杨兴耀,鲁亮,王跃飞,国冰磊,廖彬,基于聚类层次模型的视频推荐算法,计算机应用,2017,37(10):2828-2833 42. 陈嘉颖,于炯,杨兴耀,国冰磊,考虑用户间消极相似性的排序推荐算法,计算机工程与设计,2017,38(05):1247-1251 43. 陈嘉颖,于炯,杨兴耀,卞琛,基于复杂网络节点重要性的链路预测算法,计算机应用,2016,36(12):3251-3255 44. 郑洁,钱育蓉,杨兴耀,黄兰,马婉贞,基于信任和项目偏好的协调过滤算法,计算机应用,2016,36(10):2784-2788 |