Refereed Conference Publications (* indicates student I supervised)

2021

  • [ICDM] Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou. "Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification". The 21th IEEE International Conference on Data Mining, 2021. [paper] [BibTex]

  • [SIGSPATIAL] Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, CT Lu, Yanjie Fu. "Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning". The 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2021. [paper] [BibTex]

  • [SDM] Lu Jiang*, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu. "EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling".Proceedings of the 2021 SIAM International Conference on Data Mining, 2021. [paper] [BibTex]

2020

  • [ICDM] Ziyue Qiao*, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou. "Tree StructureAware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning". The 20th IEEE International Conference on Data Mining. [paper] [BibTex]

  • [ICDM] Dongjie Wang*, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu. "Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection". The 20th IEEE International Conference on Data Mining. The 20th IEEE International Conference on Data Mining. [paper] [BibTex]

  • [ICDM] Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, Yanjie Fu. "Diversity-aware Interactive Reinforced Feature Selection". The 20th IEEE International Conference on Data Mining. [paper] [BibTex]

  • [SIGSPATIAL] Dongjie Wang*, Yanjie Fu, Pengyang Wang, Bo Huang and Chang-Tien Lu. "Reimagining City Con×guration: Automated Urban Planning via Adversarial Learning". The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. [paper] [BibTex]

  • [CIKM] Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold, Yanjie Fu. "Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding". The 29th ACM International Conference on Information and Knowledge Management. [paper] [BibTex]

  • [KDD] Pengyang Wang, Kunpeng Liu, Lu Jiang, Yanjie Fu, Xiaolin Li. "Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams". The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [paper] [BibTex]

  • [IJCAI] Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien Hua. "Exploiting Mutual Information for Substructure-aware Graph Representation Learning". The 29th International Joint Conference on Arti×cial Intelligence. [paper] [BibTex]

  • [WWW] Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu. "A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement". The Web Conference 2020. [paper] [BibTex]

2019

  • [CIKM] Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong. "Job2Vec: Job Title Benchmarkingwith Collective Multi-View Representation Learning". The 28th ACM International Conference on Information and Knowledge Management, 2019. [paper] [BibTex]

  • [SIGSPATIAL] Dakshak Keerthi Chandra, Pengyang Wang, Yanjie Fu, Jennifer Leopold. Reliable Spatial Representation Learning by Laplacian Encoding-Decoding Networks. The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019. [paper] [BibTex]

  • [ICDM] Jiadi Du, Pengyang Wang, Yanjie Fu, Jennifer Leopold. "Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity". The 19th IEEE International Conference on Data Mining, 2019. [paper] [BibTex]

  • [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, 2019. [paper] [BibTex]

  • [KDD] Yunchao Zhang, Pengyang Wang, Xiaolin Lin, Yu Zheng, Yanjie Fu. "Unifying Inter-region Autocorrelation and Intra-region Structures for Spatial Embedding via Collective Adversarial Learning". Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019. [paper] [BibTex]

  • [AAAI] Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Lin. "Efficient Region Embedding with Multiview Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations". Proceedings of the 33th AAAI Conference on Arti×cial Intelligence, 2019. [paper]

2018

  • [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". Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2018. [paper]

  • [SDM] Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu and Sajal K. Das. "Incorporating Interaction Coupling among Multi-View Spatiotemporal Contexts for Mobike Destination Prediction". Proceedings of the 2018 SIAM International Conference on Data Mining, 2018. [paper]

  • [SDM] Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu Aggarwal. "EnsembleSpotting: Prioritizing Vibrant Communities via POI Embedding with Multi-view Spatial Graph".Proceedings of the 2018 SIAM International Conference on Data Mining, 2018. [paper]




Refereed Journal Publications

2021

  • [Frontiers in Big Data] Pengyang Wang, Kunpeng Liu, Dongjie Wang, Yanjie Fu. "Measuring Urban Vibrancy of Residential Communities Using Big Crowdsourced Geotagged Data". Frontiers in Big Data. [paper] [BibTex]

2019

  • [TKDE] Pengyang Wang, Yanjie Fu, Yu Zheng, and Charu Aggarwal. "Spatiotemporal Representation Learning for Driving Behavior Analysis: A Joint Perspective of Peer and Temporal Dependencies". IEEE Transactions on Knowledge and Data Engineering.[paper] [BibTex]

2018

  • [TKDE] Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong. "Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data”. IEEE Transactions on Knowledge and Data Engineering, 2018. [paper] [BibTex]

  • [TIST] Pengyang Wang, Yanjie Fu, Jiawei Zhang, Guannan Liu. "Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatialtemporal Mobility Graphs". ACM Transactions on Intelligent Systems and Technology, 2018. [paper]