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    First name: Philip S.
    Last name: Yu
    DBLP: y/PhilipSYu
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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
    Journal article
    Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu.
    Spatial and semantical label inference for social media - A cross-network data fusion approach.
    Knowl. Inf. Syst. 2017, Volume 53 (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
    Conference paper
    Hu Xu, Lei Shu, Philip S. Yu.
    Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu.
    Newsfeed Screening for Behavioral Therapy to Social Network Mental Disorders.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Aoqian Zhang, Shaoxu Song, Jianmin Wang 0001, Philip S. Yu.
    Time Series Data Cleaning: From Anomaly Detection to Anomaly Repairing.
    PVLDB 2016, Volume 10 (0) 2017
    Journal article
    Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu.
    SEVEN: Deep Semi-supervised Verification Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu.
    Improved Consistent Weighted Sampling Revisited.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Xinyue Liu, Xiangnan Kong, Philip S. Yu.
    Collective discovery of brain networks with unknown groups.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Xiaokai Wei, Bokai Cao, Philip S. Yu.
    Multi-view unsupervised feature selection by cross-diffused matrix alignment.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu.
    Differentially Private Data Publishing and Analysis: A Survey.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Shaoxu Song, Yu Gao, Chaokun Wang, Xiaochen Zhu, Jianmin Wang 0001, Philip S. Yu.
    Matching Heterogeneous Events with Patterns.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu.
    Rumor Initiator Detection in Infected Signed Networks.
    37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017, Atlanta, GA, USA, June 5-8, 2017 2017 (0) 2017
    Journal article
    Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Changxuan Wan, Dexi Liu.
    Probabilistic cleaning over trajectory events of mobile RFID objects.
    SIGSPATIAL Special 2017, Volume 9 (0) 2017
    Conference paper
    Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin.
    Kernelized Support Tensor Machines.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Xi Li 0001, Te Pi, Zhongfei Zhang, Xueyi Zhao, Meng Wang 0001, Xuelong Li, Philip S. Yu.
    Learning Bregman Distance Functions for Structural Learning to Rank.
    IEEE Trans. Knowl. Data Eng. 2017, Volume 29 (0) 2017
    Conference paper
    Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin.
    Structural Deep Brain Network Mining.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olusola Ajilore, Kelly Ryan, Alex D. Leow.
    DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.
    Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017 2017 (0) 2017
    Conference paper
    Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu.
    SEVEN: Deep Semi-supervised Verification Networks.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow.
    t-BNE: Tensor-based Brain Network Embedding.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Conference paper
    Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu.
    Predicting neighbor label distributions in dynamic heterogeneous information networks.
    World Wide Web 2017, Volume 20 (0) 2017
    Conference paper
    Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Junyuan Xie.
    Community detection for emerging social networks.
    World Wide Web 2017, Volume 20 (0) 2017
    Conference paper
    Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu.
    CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks.
    IEEE Access 2017, Volume 5 (0) 2017
    Conference paper
    Senzhang Wang, Xiaoming Zhang, Jianping Cao, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang.
    Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data.
    ACM Trans. Inf. Syst. 2016, Volume 35 (0) 2017
    Conference paper
    Jun Chen 0004, Chaokun Wang, Jianmin Wang 0001, Philip S. Yu.
    Recommendation for Repeat Consumption from User Implicit Feedback.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Yanchao Sun, Cong Qian, Ning Yang, Philip S. Yu.
    Collaborative Inference of Coexisting Information Diffusions.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Tingting Liang, Liang Chen, Xingde Ying, Philip S. Yu, Jian Wu, Zibin Zheng.
    Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization.
    2017 IEEE International Conference on Web Services, ICWS 2017, Honolulu, HI, USA, June 25-30, 2017 2017 (0) 2017
    Conference paper
    Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui.
    Real Time Social Attitude Expression Prediction.
    2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017 2017 (0) 2017
    Conference paper
    Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu.
    Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.
    Sensors 2017, Volume 17 (0) 2017
    Journal article
    Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu.
    HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu.
    IAD: Interaction-Aware Diffusion Framework in Social Networks.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu.
    A Broad Learning Approach for Context-Aware Mobile Application Recommendation.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin.
    Multi-view Graph Embedding with Hub Detection for Brain Network Analysis.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong.
    Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks.
    21st IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2017, Wellington, New Zealand, April 26-28, 2017 2017 (0) 2017
    Conference paper
    Yu Lei, Shiping Chen, Philip S. Yu.
    Heterogeneous Service Information Mining Based on Parallel Computing.
    IEEE International Conference on Cognitive Computing, ICCC 2017, Honolulu, HI, USA, June 25-30, 2017 2017 (0) 2017
    Journal article
    Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu.
    Differentially Private Query Learning: from Data Publishing to Model Publishing.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu.
    Bringing Semantic Structures to User Intent Detection in Online Medical Queries.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang.
    Efficient Revenue Maximization for Viral Marketing in Social Networks.
    Advanced Data Mining and Applications - 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin.
    Multi-view Clustering with Graph Embedding for Connectome Analysis.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu.
    Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv.
    BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu.
    Broad Learning based Multi-Source Collaborative Recommendation.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Xiaokai Wei, Bokai Cao, Philip S. Yu.
    Unsupervised Feature Selection with Heterogeneous Side Information.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 (0) 2017
    Conference paper
    Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu.
    Spatiotemporal Pyramid Network for Video Action Recognition.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin.
    Multi-way Multi-level Kernel Modeling for Neuroimaging Classification.
    2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017 2017 (0) 2017
    Conference paper
    Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu.
    Low-Rank and Sparse Matrix Completion for Recommendation.
    Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V 2017 (0) 2017
    Conference paper
    Yu Lei, Philip S. Yu.
    Service recommendation based on parallel graph computing.
    Distributed and Parallel Databases 2017, Volume 35 (0) 2017
    Conference paper
    Mingsheng Long, Zhangjie Cao, Jianmin Wang, Philip S. Yu.
    Learning Multiple Tasks with Multilinear Relationship Networks.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Conference paper
    Yunbo Wang, Mingsheng Long, Jianmin Wang, Zhifeng Gao, Philip S. Yu.
    PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs.
    Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA 2017 (0) 2017
    Journal article
    Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an.
    Contaminant Removal for Android Malware Detection Systems.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow.
    Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu.
    BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv.
    BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Chuan Shi, Binbin Hu, Wayne Xin Zhao, Philip S. Yu.
    Heterogeneous Information Network Embedding for Recommendation.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Hong-Han Shuai, De-Nian Yang, Philip S. Yu, Ming-Syan Chen.
    A Comprehensive Study on Willingness Maximization for Social Activity Planning with Quality Guarantee.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Journal article
    Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu.
    Efficient Algorithms for Mining Top-K High Utility Itemsets.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Conference paper
    Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu.
    Multi-View Clustering Based on Belief Propagation.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Conference paper
    Yang Xu, Xiaoguang Hong, Zhaohui Peng, Guang Yang, Philip S. Yu.
    Temporal Recommendation via Modeling Dynamic Interests with Inverted-U-Curves.
    Database Systems for Advanced Applications - 21st International Conference, DASFAA 2016, Dallas, TX, USA, April 16-19, 2016, Proceedings, Part I 2016 (0) 2016
    Book chapter
    Jiawei Zhang, Qianyi Zhan, Philip S. Yu.
    Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching.
    Theoretical Information Reuse and Integration 2016, Volume 446 (0) 2016
    Conference paper
    Jiawei Zhang, Philip S. Yu.
    PCT: Partial Co-Alignment of Social Networks.
    Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 2016 (0) 2016
    Conference paper
    Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu.
    Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach.
    Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 2016 (0) 2016
    Conference paper
    Hong-Han Shuai, Chih-Ya Shen, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen.
    Mining Online Social Data for Detecting Social Network Mental Disorders.
    Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 2016 (0) 2016
    Conference paper
    Xiaokai Wei, Bokai Cao, Philip S. Yu.
    Unsupervised Feature Selection on Networks: A Generative View.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu.
    Bicycle-Sharing System Analysis and Trip Prediction.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu 0002, Songtao Guo, Philip S. Yu.
    HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer.
    Proceedings of the 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, April 11 - 15, 2016 2016 (0) 2016
    Conference paper
    Guoqiong Liao, Xiaoting Yang, Sihong Xie, Philip S. Yu, Changxuan Wan.
    Two-Phase Mining for Frequent Closed Episodes.
    Web-Age Information Management - 17th International Conference, WAIM 2016, Nanchang, China, June 3-5, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu.
    Community Detection Using Multilayer Edge Mixture Model.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu.
    Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Wangqun Lin, Philip S. Yu, Yuchen Zhao, Bo Deng.
    Multi-type clustering in heterogeneous information networks.
    Knowl. Inf. Syst. 2016, Volume 48 (0) 2016
    Conference paper
    Mingsheng Long, Jianmin Wang 0001, Yue Cao, Jia-Guang Sun, Philip S. Yu.
    Deep Learning of Transferable Representation for Scalable Domain Adaptation.
    IEEE Trans. Knowl. Data Eng. 2016, Volume 28 (0) 2016
    Conference paper
    Mingsheng Long, Yue Cao, Jianmin Wang 0001, Philip S. Yu.
    Composite Correlation Quantization for Efficient Multimodal Retrieval.
    Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016 2016 (0) 2016
    Conference paper
    Yuan Su, Xi Zhang, Philip S. Yu, Wen Hua, Xiaofang Zhou, Binxing Fang.
    Understanding Information Diffusion under Interactions.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye, Philip S. Yu.
    Causality Based Propagation History Ranking in Social Networks.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu.
    Item Recommendation for Emerging Online Businesses.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu.
    Intertwined Viral Marketing through Online Social Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Jiawei Zhang, Xiangnan Kong, Philip S. Yu.
    Badge System Analysis and Design.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xiaokai Wei, Philip S. Yu.
    Unsupervised Feature Selection by Preserving Stochastic Neighbors.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
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