Home     CV     Research     Publications     Teaching     Service     Team

Publication List

Google Scholar

Selected Publications

Referred Journal Publications

  1. [TKDE] Pengyang Wang, Xiaolin Li, Yu Zheng, Charu Aggarwal, Yanjie Fu. Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies. IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 2, pp. 728-741, 1 Feb. 2021.
  2. [TKDE] Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hui Xiong. Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Transactions on Knowledge and Data Engineering, 31 (3), 535-548, 2019.
  3. [TIST] Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, and Dan Lin. Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Transactions on Intelligent Systems and Technology, 9, no. 6 (2018): 63.
  4. [TIST] Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong. A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis. ACM Transactions on Intelligent Systems and Technology, Volume 9 Issue 4, January 2018, Article No. 40.
  5. [TIST] Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou. Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. ACM Transactions on Intelligent Systems and Technology, Volume 9 Issue 3, February 2018, Article No. 29.
  6. [TKDD] Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen. Modeling Buying Motives for Personalized Product Bundle Recommendation. ACM Transactions on Knowledge Discovery from Data, 11(3):1-26, 2017.
  7. [DSS] Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen. Fused Latent Models for Assessing Product Return Propensity in Online Commerce. Decision Support Systems, 91:77-88, 2016.
  8. [TKDD] Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou. Modeling of Geographical Dependencies for Real Estate Ranking. ACM Transactions on Knowledge Discovery from Data, 11(1):1-27, 2016.
  9. [TMC] Yanjie Fu, Hui Xiong, Xinjiang Lu, Jing Yang, Can Chen. Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps. IEEE Transactions on Mobile Computing, 15(11):2851-2864, 2016.
  10. [TKDE] Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao. A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5):1167-1179, 2015.

Referred Conference Publications

  1. [IJCAI] Exploiting Mutual Information for Substructure-aware Graph Representation Learning. Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien Hua. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, 2020.
  2. [WWW] P Wang, J Gui, Z Chen, J Rhee, H Chen, Yanjie Fu. A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. Proceedings of The Web Conference 2020, 2144-2154.
  3. [KDD] Yunchao Zhang, Yanjie Fu, Pengyang Wang, Yu Zheng, Xiaolin Li. Unifying Inter-Region Autocorrelations and Intra-Region Structure for Spatial Embedding via Collective Adversarial Learning. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD19), Anchorage, Alaska, USA, 2019.
  4. [KDD] Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li. Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD19), Anchorage, Alaska, USA, 2019.
  5. [KDD] Pengyang Wang, Yanjie Fu, Xiaolin Li, Hui Xiong. Adversarial Substructured Representation Learning for Mobile User Profiling. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD19), Anchorage, Alaska, USA, 2019.
  6. [AAAI] Yanjie Fu, PengyangWang, Jiadi Du, Le Wu, Xiaolin Li. Efficient Region Embedding with Multi-view Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations. In Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), 2019.
  7. [ICDM] Kunpeng Liu, Nitish Uplavikar, Yanjie Fu, Wei Jiang. Privacy-Preserving Multi-Task Learning. In Proceedings of the 18th IEEE International Conference on Data Mining(ICDM'18), Sentosa Island, Singapore, 2018.
  8. [KDD] Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu Aggarwal. You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, United Kingdom.
  9. [SDM] Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu Aggarwal. Ensemble-Spotting: Prioritizing Vibrant Communities via POI Embedding with Multi-view Spatial Graphs. In Proceedings of 2018 SIAM International Conference on Data Mining (SDM'18), San Diego, California, USA.
  10. [SDM] Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das. Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. In Proceedings of 2018 SIAM International Conference on Data Mining (SDM'18), San Diego, California, USA, 2018.
  11. [KDD] Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong. Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, 2017.
  12. [KDD] Pengfei Wang∗, Yanjie Fu∗, Guannan Liu, Wenqing Hu, Charu Aggarwal. Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes. In Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, 2017.
  13. [KDD] Yanjie Fu, Guannan Liu, Mingfei Teng, Charu Aggarwal. Unsupervised P2P Rental Recommendations via Integer Programming. In Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, 2017.
  14. [KDD] Yanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, and Hui Xiong. REMIX: Automated Exploration for Interactive Outlier Detection. In Proceedings of the 23nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Canada, 2017.
  15. [ICDM] Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Hui Xiong. Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM'16), Barcelona, Spain, 2016.
  16. [KDD] Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu. Real Estate Ranking via Mixed Land-use Latent Models. In the Proceeding of the 21th SIGKDD conference on Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia, 2015.
  17. [ICDM] Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Nicholas Jing Yuan. Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM'14), Shenzhen, China, 2014.
  18. [ICDM] Yanchi Liu, Chuanren Liu, Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu. Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM'14), Shenzhen, China, 2014.
  19. [KDD] Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou. Exploiting Geographic Dependencies for Real Estate Appraisal. In the Proceedings of the 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD'14), New York, USA, 2014.
  20. [SDM] Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong. User Preference Learning With Multiple Information Fusion For Restaurant Recommendation. In Proceedings of 2014 SIAM International Conference on Data Mining (SDM'14), Philadelphia, USA, 2014.
  21. [KDD] Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong. Learning Geographical Preferences for Point-of-Interest Recommendation. In Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'13), Chicago, USA, 2013.