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2018 Conference Publication Modeling patient visit using electronic medical records for cost profile estimationZhao, Kangzhi, Zhang, Yong, Wang, Zihao, Yin, Hongzhi, Zhou, Xiaofang, Wang, Jin and Xing, Chunxiao (2018). Modeling patient visit using electronic medical records for cost profile estimation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD, Australia, 21-24 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-91458-9_2 |
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2018 Conference Publication Joint event-partner recommendation in event-based social networksYin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088 |
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2018 Conference Publication Extracting representative user subset of social networks towards user characteristics and topological featuresZhou, Yiming, Han, Yuehui, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2018). Extracting representative user subset of social networks towards user characteristics and topological features. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, November 12 - 15, 2018. Cham, Switzerland: Springer . doi: 10.1007/978-3-030-02922-7_15 |
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2018 Conference Publication PME: projected metric embedding on heterogeneous networks for link predictionChen, Hongxu, Wang, Hao, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Wang, Weiqing and Li, Xue (2018). PME: projected metric embedding on heterogeneous networks for link prediction. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3219986 |
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2018 Conference Publication Discrete ranking-based matrix factorization with self-paced learningZhang, Yan, Wang, Haoyu, Lian, Defu, Tsang, Ivor W., Yin, Hongzhi and Yang, Guowu (2018). Discrete ranking-based matrix factorization with self-paced learning. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220116 |
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2018 Journal Article Computing crowd consensus with partial agreementViet Hung, Nguyen Quoc, Viet, Huynh Huu, Tam, Nguyen Thanh, Weidlich, Matthias, Yin, Hongzhi and Zhou, Xiaofang (2018). Computing crowd consensus with partial agreement. IEEE Transactions on Knowledge and Data Engineering, 30 (1), 1-14. doi: 10.1109/TKDE.2017.2750683 |
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2018 Conference Publication Neural memory streaming recommender networks with adversarial trainingWang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004 |
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2018 Conference Publication LC-RNN: A deep learning model for traffic speed predictionLv, Zhongjian, Xu, Jiajie, Zheng, Kai, Yin, Hongzhi, Zhao, Pengpeng and Zhou, Xiaofang (2018). LC-RNN: A deep learning model for traffic speed prediction. 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, 13-19 July 2018. FREIBURG: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2018/482 |
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2018 Conference Publication User guidance for efficient fact checkingNguyen, Thanh Tam, Weidlich, Matthias, Yin, Hongzhi, Zheng, Bolong, Hung Nguyen, Quoc Viet and Stantic, Bela (2018). User guidance for efficient fact checking. 45th International Conference on Very Large Data Bases, Los Angeles, CA United States, 2019. New York, NY United States: Association for Computing Machinery. doi: 10.14778/3324301.3324303 |
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2017 Journal Article Spatial-aware hierarchical collaborative deep learning for POI recommendationYin, Hongzhi, Wang, Weiqing, Wang, Hao, Chen, Ling and Zhou, Xiaofang (2017). Spatial-aware hierarchical collaborative deep learning for POI recommendation. Ieee Transactions On Knowledge and Data Engineering, 29 (11) 8013107, 2537-2551. doi: 10.1109/TKDE.2017.2741484 |
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2017 Journal Article Exploiting detected visual objects for frame-level video filteringDu, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2017). Exploiting detected visual objects for frame-level video filtering. World Wide Web, 21 (5), 1-26. doi: 10.1007/s11280-017-0505-6 |
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2017 Journal Article Answer validation for generic crowdsourcing tasks with minimal effortsHung, Nguyen Quoc Viet, Thang, Duong Chi, Tam, Nguyen Thanh, Weidlich, Matthias, Aberer, Karl, Yin, Hongzhi and Zhou, Xiaofang (2017). Answer validation for generic crowdsourcing tasks with minimal efforts. Vldb Journal, 26 (6), 855-880. doi: 10.1007/s00778-017-0484-3 |
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2017 Journal Article Argument discovery via crowdsourcingNguyen, Quoc Viet Hung, Duong, Chi Thang, Nguyen, Thanh Tam, Weidlich, Matthias, Aberer, Karl, Yin, Hongzhi and Zhou, Xiaofang (2017). Argument discovery via crowdsourcing. VLDB Journal, 26 (4), 511-535. doi: 10.1007/s00778-017-0462-9 |
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2017 Journal Article ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item RecommendationWang, Weiqing , Yin, Hongzhi , Chen, Ling , Sun, Yizhou , Sadiq, Shazia and Zhou, Xiaofang (2017). ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. ACM Transactions on Intelligent Systems and Technology, 8 (3) 48, 48.1-48.25. doi: 10.1145/3011019 |
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2017 Conference Publication Graph-based metric embedding for next POI recommendationXie, Min, Yin, Hongzhi, Xu, Fanjiang, Wang, Hao and Zhou, Xiaofang (2017). Graph-based metric embedding for next POI recommendation. 17th International Conference on Web Information Systems Engineering (WISE), Shanghai, China, 8 - 10 November 2016. Heidelberg, Germany: Springer . doi: 10.1007/978-3-319-48743-4_17 |
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2017 Conference Publication A location-sentiment-aware recommender system for both home-town and out-of-town usersWang, Hao , Fu, Yanmei , Wang, Qinyong , Yin, Hongzhi , Du, Changying and Xiong, Hui (2017). A location-sentiment-aware recommender system for both home-town and out-of-town users. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Halifax, NS, Canada, 13-17 August 2017. New York, NY, United States: ACM. doi: 10.1145/3097983.3098122 |
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2017 Conference Publication Retaining data from streams of social platforms with minimal regretTam, Nguyen Thanh, Weidlich, Matthias, Thang, Duong Chi, Yin, Hongzhi and Hung, Nguyen Quoc Viet (2017). Retaining data from streams of social platforms with minimal regret. International Joint Conference on Artificial Intelligence, IJCAI, Melbourne, Australia, 19-25 August 2017. Melbourne, Australia: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2017/397 |
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2017 Conference Publication Group recommender model based on preference interactionZheng, Wei, Li, Bohan, Wang, Yanan, Yin, Hongzhi, Li, Xue, Guan, Donghai and Qin, Xiaolin (2017). Group recommender model based on preference interaction. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_10 |
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2017 Conference Publication Time-constrained graph pattern matching in a large temporal graphXu, Yanxia, Huang, Jinjing, Liu, An, Li, Zhixu, Yin, Hongzhi and Zhao, Lei (2017). Time-constrained graph pattern matching in a large temporal graph. Joint Conference, APWeb-WAIM, Beijing, China, 7-9 July 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63579-8 9 |
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2017 Conference Publication Jointly modeling heterogeneous temporal properties in location recommendationHosseini, Saeid, Yin, Hongzhi, Zhang, Meihui, Zhou, Xiaofang and Sadiq, Shazia (2017). Jointly modeling heterogeneous temporal properties in location recommendation. 22nd Internation Conference, DASFAA 2017, Suzhou, China, 27 - 30 March 2017. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-55753-3_31 |
