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    Author information
    First name: Philip S.
    Last name: Yu
    DBLP: y/PhilipSYu
    Rating: (1)
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    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 1045  
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    Conference paper
    Ming-Syan Chen, Jiawei Han 0001, Philip S. Yu.
    Data Mining: An Overview from a Database Perspective.
    IEEE Trans. Knowl. Data Eng. 1996, Volume 8 (1)
    1 comment
    1996
    Conference paper
    Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu.
    A Survey of Heterogeneous Information Network Analysis.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Lei Zheng, Vahid Noroozi, Philip S. Yu.
    Joint Deep Modeling of Users and Items Using Reviews for Recommendation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Yuqing Zhu, Philip S. Yu, Guolei Yi, Wenlong Ma, Mengying Guo, Jianxun Liu.
    To Vote Before Decide: A Logless One-Phase Commit Protocol for Highly-Available Datastores.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jiawei Zhang, Philip S. Yu, Yuanhua Lv.
    Enterprise Employee Training via Project Team Formation.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Conference paper
    Lei Zheng, Vahid Noroozi, Philip S. Yu.
    Joint Deep Modeling of Users and Items Using Reviews for Recommendation.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Conference paper
    Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu.
    Link Prediction with Cardinality Constraint.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Conference paper
    Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu.
    Multilinear Factorization Machines for Multi-Task Multi-View Learning.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Conference paper
    Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu.
    Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks.
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 2017 (0) 2017
    Journal article
    Zhangjie Cao, Mingsheng Long, Jianmin Wang 0001, Philip S. Yu.
    HashNet: Deep Learning to Hash by Continuation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu.
    Cross View Link Prediction by Learning Noise-resilient Representation Consensus.
    Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu.
    On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction.
    Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu.
    Embedding Identity and Interest for Social Networks.
    Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu.
    Collective Geographical Embedding for Geolocating Social Network Users.
    Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu.
    Personalized Ranking Recommendation via Integrating Multiple Feedbacks.
    Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II 2017 (0) 2017
    Conference paper
    Ning Yang, Lifang He, Zheng Li, Philip S. Yu.
    Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu.
    Learning from Multi-View Structural Data via Structural Factorization Machines.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Sihong Xie, Philip S. Yu.
    Active zero-shot learning: a novel approach to extreme multi-labeled classification.
    I. J. Data Science and Analytics 2017, Volume 3 (0) 2017
    Conference paper
    Xiangdong Huang, Jianmin Wang, Philip S. Yu, Jian Bai, Jinrui Zhang.
    An experimental study on tuning the consistency of NoSQL systems.
    Concurrency and Computation: Practice and Experience 2017, Volume 29 (0) 2017
    Conference paper
    Jiawei Zhang, Philip S. Yu, Yuanhua Lv.
    Enterprise Community Detection.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao.
    On Edge Classification in Networks with Structure and Content.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han 0001.
    Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu.
    Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization.
    Database Systems for Advanced Applications - 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part I 2017 (0) 2017
    Conference paper
    Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin.
    A novel ensemble approach on regionalized neural networks for brain disorder prediction.
    Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017 2017 (0) 2017
    Conference paper
    Xiaokai Wei, Bokai Cao, Philip S. Yu.
    Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment.
    CoRR 2017, Volume 0 (0) 2017
    Show item 1 to 25 of 1045  

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