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    Author information
    First name: Shanshan
    Last name: Feng
    DBLP: 149/1281
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    Below you find the publications which have been written by this author.

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    Conference paper
    Yue Guan, Shanshan Feng, Haibo Huang, Liguo Chen.
    A Method for Improving Target Tracking Accuracy of Vehicle Radar.
    Computer Vision Systems - 11th International Conference, ICVS 2017, Shenzhen, China, July 10-13, 2017, Revised Selected Papers 2017 (0) 2017
    Conference paper
    Shanshan Feng, Jian Cao, Yuwen Chen, Jing Qi.
    A Model for Discovering Unpopular Research Interests.
    Knowledge Science, Engineering and Management - 8th International Conference, KSEM 2015, Chongqing, China, October 28-30, 2015, Proceedings 2015 (0) 2015
    Conference paper
    Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li.
    A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC.
    Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017 2017 (0) 2017
    Conference paper
    Yuwen Chen, Jian Cao, Shanshan Feng, Yudong Tan.
    An ensemble learning based approach for building airfare forecast service.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Conference paper
    Shanshan Feng, Ting Wang, Haibo Huang, Liguo Chen.
    An Image Mosaic Method Based on Deviation Splitting and Transferring for Vehicle Panoramic System.
    Computer Vision Systems - 11th International Conference, ICVS 2017, Shenzhen, China, July 10-13, 2017, Revised Selected Papers 2017 (0) 2017
    Conference paper
    Shanshan Feng, Jian Cao, Jie Wang, Jing He.
    Group Recommendations Based on Comprehensive Latent Relationship Discovery.
    IEEE International Conference on Web Services, ICWS 2016, San Francisco, CA, USA, June 27 - July 2, 2016 2016 (0) 2016
    Conference paper
    Shanshan Feng, Jian Cao.
    Improving group recommendations via detecting comprehensive correlative information.
    Multimedia Tools Appl. 2017, Volume 76 (0) 2017
    Conference paper
    Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang.
    Influence Maximization with Novelty Decay in Social Networks.
    Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada. 2014 (0) 2014
    Conference paper
    Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan.
    Personalized Ranking Metric Embedding for Next New POI Recommendation.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee.
    POI2Vec: Geographical Latent Representation for Predicting Future Visitors.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Shanshan Feng, Jian Cao, Jie Wang, Shiyou Qian.
    Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content.
    TKDD 2016, Volume 11 (0) 2017
    Conference paper
    Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li.
    Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data.
    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
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