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2017

Conference Publication

A location-sentiment-aware recommender system for both home-town and out-of-town users

Wang, 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

A location-sentiment-aware recommender system for both home-town and out-of-town users

2017

Conference Publication

SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior prediction

Yin, Hongzhi, Chen, Hongxu, Sun, Xiaoshuai, Wang, Hao, Wang, Yang and Nguyen, Quoc Viet Hung (2017). SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior prediction. 17th IEEE International Conference on Data Mining, ICDM 2017, New Orleans, LA, USA, November 18-21, 2017. New York, USA: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICDM.2017.68

SPTF: A scalable probabilistic tensor factorization model for semantic-aware behavior prediction

2017

Conference Publication

Recommendation in context-rich environment: An information network analysis approach

Sun, Yizhou, Yin, Hongzhi and Ren, Xiang (2017). Recommendation in context-rich environment: An information network analysis approach. 26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, April 3 - 7, 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051105

Recommendation in context-rich environment: An information network analysis approach

2017

Conference Publication

Graph-based metric embedding for next POI recommendation

Xie, 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

Graph-based metric embedding for next POI recommendation

2017

Conference Publication

Retaining data from streams of social platforms with minimal regret

Tam, 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

Retaining data from streams of social platforms with minimal regret

2017

Conference Publication

Time-constrained graph pattern matching in a large temporal graph

Xu, 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

Time-constrained graph pattern matching in a large temporal graph

2017

Conference Publication

Group recommender model based on preference interaction

Zheng, 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

Group recommender model based on preference interaction

2017

Conference Publication

Mobi-SAGE: A sparse additive generative model for mobile app recommendation

Yin, Hongzhi, Chen, Liang, Wang, Weiqing, Du, Xingzhong, Nguyen, Quoc Viet Hung and Zhou, Xiaofang (2017). Mobi-SAGE: A sparse additive generative model for mobile app recommendation. IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, United States, 19-22 April 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2017.43

Mobi-SAGE: A sparse additive generative model for mobile app recommendation

2017

Conference Publication

Jointly modeling heterogeneous temporal properties in location recommendation

Hosseini, 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

Jointly modeling heterogeneous temporal properties in location recommendation

2017

Conference Publication

Understanding the user display names across social networks

Li, Yongjun, Peng, You, Zhang, Zhen, Xu, Quanqing and Yin, Hongzhi (2017). Understanding the user display names across social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051146

Understanding the user display names across social networks

2017

Conference Publication

Exploiting spatio-temporal user behaviors for user linkage

Chen, Wei, Yin, Hongzhi, Wang, Weiqing, Zhao, Lei, Hua, Wen and Zhou, Xiaofang (2017). Exploiting spatio-temporal user behaviors for user linkage. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3132898

Exploiting spatio-temporal user behaviors for user linkage

2017

Conference Publication

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. AAAI Conference on Artificial Intelligence, San Francisco, CA, United States, 4-9 February 2017. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

An integrated model for effective saliency prediction

2017

Conference Publication

An integrated model for effective saliency prediction

Sun, Xiaoshuai, Huang, Zi, Yin, Hongzhi and Shen, Heng Tao (2017). An integrated model for effective saliency prediction. 31st AAAI Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA., United States, 04-10 February 2017. Palo Alto, CA., United States: AAAI press.

An integrated model for effective saliency prediction

2016

Conference Publication

Learning graph-based POI embedding for location-based recommendation

Xie, Min, Yin, Hongzhi, Wang, Hao, Xu, Fanjiang, Chen, Weitong and Wang, Sen (2016). Learning graph-based POI embedding for location-based recommendation. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983711

Learning graph-based POI embedding for location-based recommendation

2016

Conference Publication

LSIF: a system for large-scale information flow detection based on topic-related semantic similarity measurement

Zhao, Meng, Wang, Hao, Cao, Liangliang, Zhang, Chen, Yin, Hongzhi and Xu, Fanjiang (2016). LSIF: a system for large-scale information flow detection based on topic-related semantic similarity measurement. 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), Singapore, 6-9 December 2016. Los Alamitos, CA United States: IEEE Computer Society. doi: 10.1109/WI-IAT.2015.2

LSIF: a system for large-scale information flow detection based on topic-related semantic similarity measurement

2016

Conference Publication

Using detected visual objects to index video database

Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2016). Using detected visual objects to index video database. Australasian Database Conference on Databases Theory and Applications, Sydney, Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_26

Using detected visual objects to index video database

2016

Conference Publication

Expert team finding for review assignment

Yin, Hongzhi, Cui, Bin, Lu, Hua and Zhao, Lei (2016). Expert team finding for review assignment. Conference on Technologies and Applications of Artificial Intelligence (TAAI), Hsinchu, Taiwan, 25-27 November 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/TAAI.2016.7932314

Expert team finding for review assignment

2016

Conference Publication

Discovering interpretable geo-social communities for user behavior prediction

Yin, Hongzhi, Hu, Zhiting, Zhou, Xiaofang, Wang, Hao, Zheng, Kai, Quoc Viet Hung Nguyen and Sadiq, Shazia (2016). Discovering interpretable geo-social communities for user behavior prediction. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498303

Discovering interpretable geo-social communities for user behavior prediction

2016

Conference Publication

A unified framework for fine-grained opinion mining from online reviews

Wang, Hao, Zhang, Chen, Yin, Hongzhi, Wang, Wei, Zhang, Jun and Xu, Fanjiang (2016). A unified framework for fine-grained opinion mining from online reviews. 49th Annual Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, 5-8 January 2016. Piscataway, NJ, United States: I E E E. doi: 10.1109/HICSS.2016.144

A unified framework for fine-grained opinion mining from online reviews

2016

Conference Publication

SPORE: a sequential personalized spatial item recommender system

Wang, Weiqing, Yin, Hongzhi, Sadiq, Shazia, Chen, Ling, Xie, Min and Zhou, Xiaofang (2016). SPORE: a sequential personalized spatial item recommender system. IEEE International Conference on Data Engineering (ICDE), Helsinki, Finland, 16-20 May 2016. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE.2016.7498304

SPORE: a sequential personalized spatial item recommender system