[1] 跨媒体数据分析：多粒度、多层次特征交互的视觉问答
[2] 知识图谱嵌入：静态知识图谱嵌入、时序知识图谱嵌入
[3] 图结构学习：自适应图结构学习、多图结构学习及其聚类应用
[4] 智能交通领域应用研究：交通流预测、交通状态生成
个人简介
王博岳，副教授，博士研究生导师，银河集团9873.cσm人工智能与自动化学院、多媒体与智能软件技术北京市重点实验室、北京人工智能研究院教师。2018年获北京工业大学“优秀博士学位论文奖”和北京市教委“优秀毕业生”，2020年获“中国图学学会优秀博士学位论文奖” （全国一级学会优博），2021年入选“北京工业大学高端人才队伍建设计划”，2022年入选“北京市科协青年人才托举工程”。
教育简历
2012.9-2018.6，北京工业大学，计算机科学与技术专业，博士学位
2016.2-2017.2，澳大利亚查尔斯特大学，中国留学基金委联合培养博士项目
2008.9-2012.7，河北工业大学，计算机科学与技术专业，学士学位
工作履历
2018.7-2021.1, 北京工业大学，控制科学与工程专业，师资博士后
2019.7-2021.6，银河集团9873.cσm、北京人工智能研究院，讲师
2021.7-至今， 银河集团9873.cσm、北京人工智能研究院，副教授
科研项目
[1] 国家自然科学基金面上项目，流形空间多图结构学习方法及其跨模态应用研究，2023-2026，负责人；
[2] 国家自然科学基金青年项目，流形空间不完整多视图像视频的聚类，2020-2022，负责人；
[3] 北京市自然科学基金青年项目，多视视频数据的自动编码机聚类模型，2020-2021，负责人；
[4] 北京市教委科研计划科技一般项目，基于乘积流形表示的部分多视聚类研究，2020-2022，负责人；
[5] 中国博士后科学基金面上项目一等资助，基于多视视频数据的深度子空间聚类模型，2018-2020，负责人；
荣誉和获奖
[1] 2020年,获“中国图学学会优秀博士学位论文奖” （全国一级学会优博）
[2] 2022年,入选“北京市科协青年人才托举工程”
主要论文论著（一作及通讯论文）
以第一作者或通讯作者发表学术论文10余篇，包括SCI期刊IEEE TNNLS、IEEE TCSVT、IEEE TMM、IEEE TKDE、IEEE TITS、Pattern Recognition、ACM TKDD和顶级国际会议AAAI、IJCAI等。
[1] Jiapu Wang, Boyue Wang*, Junbin Gao, Yongli Hu, Baocai Yin. Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Transactions on Knowledge Discovery from Data, 2023.
[2] Xiaxia He, Boyue Wang*, Junbin Gao, Yongli Hu, Baocai Yin. Parallelly adaptive graph convolutional clustering model. IEEE Transactions on Neural Networks and Learning Systems, 2022. (IF:10.451, SCI 中科院一区)
[3] Guangyu Huo, Yong Zhang, Boyue Wang*, Yongli Hu, Baocai Yin. Hierarchical Spatio–Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems, 2022. (IF:6.492, SCI 中科院一区)
[4] Guangyu Huo, Yong Zhang, Boyue Wang*, Yongli Hu, Baocai Yin. Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation. IEEE Transactions on Intelligent Transportation Systems, 2021. (IF:6.492, SCI 中科院一区)
[5] Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang*, Yongli Hu, Baocai Yin. CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. IEEE Transactions on Knowledge and Data Engineering, 2021. (IF:6.977, SCI 中科院二区)
[6] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin. Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2021. (IF:10.451, SCI 中科院一区)
[7] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin. Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Transactions on Multimedia, 2021. (IF:6.051, SCI 中科院一区)
[8] Yongli Hu, Zuolong Song, Boyue Wang*, Junbin Gao, Yanfeng Sun, Baocai Yin. AKM3C: Adaptive K-Multiple-Means for Multi-view Clustering. IEEE Transactions on Circuits and Systems for Video Technology, 2018. (IF:4.133, SCI 中科院二区)
[9] Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin. Low Rank Representation on SPD Matrices with Log-Euclidean Metric. Pattern Recognition, 2018. (IF:7.196, SCI 中科院一区)
[10] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Localized LRR on Grassmann Manifold: An Extrinsic View. IEEE Transactions on Circuits and Systems for Video Technology, 2018. (IF:4.133, SCI 中科院二区)
[11] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Partial Sum Minimization of Singular Values Representation on Grassmann Manifold. ACM Transactions on Knowledge Discovery from Data, 2018. (IF:1.974, SCI 中科院三区)
[12] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-camera Video Surveillance. IEEE Transactions on Circuits and Systems for Video Technology, 2017. (IF:4.133, SCI 中科院二区)
[13] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Product Grassmann Manifold Representation and its LRR Models. In American Association for Artificial Intelligence (AAAI), 2016. (CCF-A)
[14] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Muhammad Ali, Haoran Chen and Baocai Yin. Locality Preserving Projections for Grassmann Manifolds. In International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF-A)
[15] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun and Baocai Yin. Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. In International Joint Conference on Artificial Intelligence (IJCAI), 2018. (CCF-A)
[16] Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Low rank representation on Grassmann manifolds. In Asian Conference on Computer Vision (ACCV), 2014. (CCF-C)
