教学、科研项目展开
25.涡流内检测器研发及制造,2023-2025,任务负责人
24.国家自然科学基金面上项目:多种恶劣天气下的退化图像一体化恢复方法研究,,2024-2027,参与
23. 声波水平井评价方法研究,2023-2024,项目负责人.
22. 配电设备故障预测技术研究,2023-2024,项目负责人.
21. 大落差原油管道运行优化及批次输送研究,2022-2023,子任务负责人.
20. 国网山东电力:基于关键特征量泛在感知的配网态势分析,2020-2021,项目负责人
19. 自主创新科研计划项目:基于人工智能的深层油藏综合评价方法研究,2020-2022, 子任务负责人
18. 食品安全大数据技术北京市重点实验室开放课题:基于大数据的机器学习方法并行化研究,2017-2018,项目负责人.
17. 高温高压核磁共振数据采集及分析软件,2017-2019,负责人.
16. 配电网运行状态管控关键技术研究,2016-2018,负责人.
15. 郝现集输系统管网运行及采出液处理优化研究-1,2016-2017, 子任务负责人.
14. 山东省统计科研重点研究课题:基于互联网多元化数据的关联性实体挖掘方法研究,2017-2018,项目负责人.
13. 中国石油大学博士基金项目:相关实体搜索研究,2013-2014,项目负责人.
12. 可配置工作流技术研究,2016-2017,项目负责人.
11. 中央高校基本科研业务费项目:Web中相关实体搜索的关键问题研究,2013-2014,项目负责人.
10. 国家自然科学基金面上项目:自适应脉冲神经膜系统的计算性能及其在胆石病自动识别中的应用研究,2019-2022,参与
9. 国家自然科学基金面上项目:基于第三方的电子商务可信软件在线度量方法及集成研究,2016-2019,参与
8. 国家自然科学基金面上项目:多尺度概念格的构造与知识发现方法研究,2017-2020,参与
7. 山东省自然科学基金青年基金项目:句法树匹配和本体计算相结合的句子相似度计算,2014.12-2017.12, 参与
6. 教育部重点项目:新闻事件话题事件识别、跟踪和观点分析的关键技术研究,2008.01~2011.01, 参与
5. 中央高校基本科研业务费项目:属性层面用户评论的意见挖掘研究, 2011.07~2013.06, 主要参与人
4. 北京星枫公司留学管理信息平台,2009-2010,项目负责人
3. 中国图书进出口总公司网络订单系统, 2010-2011,项目负责人
2. 中国科普研究所论文评审系统,2010-2011,项目负责人
1. 中国科普研究所项目申报及评审系统,2010-2011,项目负责人
论文著作展开
35. Jie zhu; Junsan Zhang*. Adaptive Multi-label Structure Preserving Network for Cross-modal Retrieval in the journal Information Sciences. Information Sciences. Volume 682, November 2024, 121279,;https://www.sciencedirect.com/science/article/pii/S0020025524011939 (SCI一区 Top)
34.Junsan zhang; Te Wang;Yao Wan. Fine-grained Relation Contrast Enhancement of Knowledge Graph for Recommendation. Journal of Intelligent Information Systems. 2024; (Accept SCI三区)
33.Junsan zhang; Wenxue Wang;Zhoutuo Wei. Enhancing Seismic Data Denoising Through Multiscale Analysis Across Transformer and GAN. IEEE Geoscience and Remote Sensing Letters. 2024; https://ieeexplore.ieee.org/document/10684218?source=authoralert ( SCI三区)
32.Junsan zhang; Sini Wu;Jie zhu. Relieving Popularity Bias in Recommendation via Debiasing Representation Enhancement. Complex & Intelligent Systems. 2024; (In Press SCI二区)
31.Junsan Zhang, Ming Cheng,Xiangyang Li,Xiuxuan Shen,Yuxue Liu, Yao Wan. Generating Medical Report via Joint Probability Graph Reasoning.Tsinghua Science and Technology, 2024(In Press,SCI一区)
30.Junsan Zhang, Ming Cheng, Qiaoqiao Cheng. Hierarchical medical image report adversarial generation with hybrid discriminator.Artificial Intelligence in Medicine.Volume 151,2024.(SCI二区)
29.Junsan Zhang, Hui Gao, Sen xiao, Jie Zhu, Jian Wang. Amulti-intent-aware recommendation algorithm based on interactive graph convolutional networks.Complex & Intelligent Systems,Volume 10, pages 4493–4506, 2024(SCI二区).
28. 冯叶棋;张俊三; 基于聚类和生成对抗学习模型的滤波器剪枝.计算机软件软件与应用.2024(中文核心)
27. 张俊三;肖森;高慧等. 基于邻域采样的多任务推荐算法. 计算机工程与应用,2024(EI,中文核心,CCF B 类).
26.Junsan Zhang, Chenyang Xu. MFF-YOLO: an improved YOLO algorithm based on multi-scale semantic feature fusion.Tsinghua Science and Technology, 2024(SCI一区).
25.余勇,张俊三等;基于GAN与数据流形的对抗样本防御模型.计算机软件软件与应用.2023(中文核心)
24.张俊三;程铭;沈秀轩;刘玉雪;王雷全. 基于多样化标签矩阵的医学影像报告生成.计算机科学,2023(中文核心,CCF B类)
23.Zhang, J.; Zhao, L.; Jiang, H.; Shen, S.; Wang, J.; Zhang, P.; Zhang, W.; Wang, L. Hyperspectral Image Classification Based on Dense Pyramidal Convolution and Multi-Feature Fusion. Remote Sens. 2023, 15(12), 2990; https://doi.org/10.3390/rs15122990.https://www.mdpi.com/2072-4292/15/12/2990(SCI二区)
22.Junsan Zhang, Yeqi Feng, Chao Wang, Mingwen Shao, Yujie Jiang, Jian Wang,Multi-domain clustering pruning: Exploring space and frequency similarity based on GAN,Neurocomputing,Volume 542,2023,126279,https://doi.org/10.1016/j.neucom.2023.126279.(SCI 二区 Top)
21.Junsan zhang, Xiuxuan shen.A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration,IEEE Journal of Biomedical and Health Informatics,2023.(SCI,一区 Top)
20.Junsan zhang, Xiuxuan shen.A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration,IEEE Journal of Biomedical and Health Informatics,2023.(SCI, 一区 Top)
19.Junsan zhang,Xiaomin Wang.SOR-TC: Self-Attentive Octave ResNet with Temporal Consistency for Compressed Video Action Recognition,Neurocomputing,2023(Accpeted).(SCI, 二区 Top)
18.沈秀轩,张俊三等. 基于双分支特征融合的医学报告生成方法,计算机工程,2022.(中文核心).
17.赵利,张俊三等. 基于双通道特征增强的高光谱图像分类, 激光与光电子学进展,2022.(中文核心).
16. 朱瑞,张俊三等. 一种基于两阶段深度学习的多任务推荐模型. 陕西师范大学学报(自然科学版)2021,(中文核心).
15. 张俊三,程俏俏等. MIRGAN:一种基于GAN的医学影像报告生成模型. 山东大学学报(工学版),2021,(中文核心).
14. 朱杰,张俊三等. 基于对象特征的深度哈希跨模态检索.计算机科学与探索,2021,(中文核心).
13. Jiang ZY, Chen XY, Dong BW, Zhang JS, Gong JB, Yan H, Zhang ZH, Ma JF, Yu PS. Trajectory-based Community Detection. IEEE Transactions on Circuits and Systems--II: Express Briefs, 2020, 67(6): 1139-1143.(SCI)
12. SHIDONG ZHANG, CHAO WANG, JUNSAN ZHANG, YOUXIANG DUAN, XINHONG YOU,AND PEIYING ZHANG. Network Resource Allocation Strategy Based on Deep Reinforcement Learning. IEEE Open Journal of the Computer Society. 2021 ( EI)
11. Xiaomin Wang, Junsan Zhang. Video-level Multi-model fusion for action recognition. The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019. (CCF B类会议,数据挖掘领域知名学术会议2019年录用率19.6%,EI).
10. 朱杰,张俊三等. 基于多中心卷积特征加权的图像检索方法. 计算机应用,Vol. 38 (10): 2778-2781,2018. (中文核心)
9. Junsan Zhang, Haoliang Sun .Combining Attributes and Links Finding Homepage for Entity Searching. ICAICE 2015.(EI)
8. Junsan Zhang,Youli Qu,Shengfeng Tian. A Novel Entity Type Filtering Model for Related Entity Finding. International Journal of Computers of Communications & Control. 2014, 9(1): 113-124 (SCI检索)
7. Junsan Zhang,Youli Qu,Shu Gong,Shengfeng Tian. An approach of filtering wrong-type entities for entity ranking. IEICE Transactions on Information and Systems. 2013, 96(1): 163-167 (SCI检索)
6. Junsan Zhang,Youli Qu. Smoothing methods of relation filtering model for entity ranking. Advances in Information Sciences and Service Sciences.2012, 4(22): 124-131 (EI检索)
5. Junsan Zhang,Youli Qu , Shengfeng Tian. Type expansion based on Wikipedia for related entity finding. International Journal of Advancements in Computing Technology. 2012, 4(6):201-209. (EI检索)
4. Junsan Zhang,Youli Qu . A study of category expansion for related entity finding. 2011 4th International Symposium on Computational Intelligence and Design. 2011,185-188. (EI检索)
3. 张俊三,瞿有利,田盛丰. 相关实体发现中基于Wikipedia的实体排序.计算机研究与发展. 2014, 51 (6): 1359-1372. (EI检索)
2. 张俊三,瞿有利. 信息检索中相关实体发现综述. 计算机工程与设计2011, 32(12): 4035-4038.(核心)
1. Yanbo zhang, Youli Qu, Junsan Zhang. A new method of selecting pivot features for structural correspondence learning in domain adaptive sentiment analysis. 2010 2nd International Workshop on Database Technology and Applications. 2010. (EI检索)