Publications

You may also interested in my Google Scholar Profile.

Conference

• Would You Like to Join Us: Understanding the Invitation Acceptance in Agent-initiated Social E-commerce.
  Fengli Xu, G. Zhang, Y. Yuan, H. Huang, D. Yang, D. Jin, Y. Li.
  In International AAAI Conference on Web and Social Media (ICWSM), 2021.

• Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data.
  Fengli Xu, Y. Li, S. Xu.
  In ACM Conference on Knowledge Discovery and Data Mining (KDD, Research Track), 2020.

• Learning to Simulate Human Mobility.
  J. Feng, Z. Yang, Fengli Xu, H. Yu, M. Wang, Y. Li.
  In ACM Conference on Knowledge Discovery and Data Mining (KDD, AI for COVID), 2020.

• Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data.
  Q. Hao, L. Chen, Fengli Xu, Y. Li.
  In ACM Conference on Knowledge Discovery and Data Mining (KDD, AI for COVID), 2020.

• SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference.
  Fengli Xu*, Z. Lin*, T. Xia, D. Guo, Y. Li. (* Equal Contributions)
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2020.

• Will You Come Back/Check-in Again? Understanding Characteristics Leading to Urban Revisitation and Re-check-in.
  Z. Chen, H. Cao, H. Wang, Fengli Xu, V. Kostakos, Y. Li.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2020.

• When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian.
  H. Cao, Z. Chen, Fengli Xu, Y. Li, T. Wang.
  In International AAAI Conference on Web and Social Media (ICWSM), 2020.

• Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
  Fengli Xu, J. Lian, Z. Han, Y. Li, Y. Xu, X. Xie.
  In Conference on Information and Knowledge Management (CIKM), 2019.

• “I Think You’ll Like It”: Modelling the Online Purchase Behavior in Social E-commerce.
  Fengli Xu, Z. Han, J. Piao, Y. Li.
  In ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2019.

• No More than What I Post: Preventing Linkage Attacks on Check-in Services.
  Fengli Xu, Z. Tu, H. Huang, S. Chang, F. Sun, D. Guo, Y. Li.
  In the Web Conference (WWW), 2019.

• Understanding Urban Dynamics via State-sharing Hidden Markov Model.
  T. Xia, Y. Yu, Fengli Xu, F. Sun, D. Guo, D. Jin, Y. Li.
  In the Web Conference (WWW), 2019.

• Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps.
  H. Cao, Z. Chen, Fengli Xu, Y. Li, V. Kostakos.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2019.

• Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data.
  Fengli Xu, T. Xia, H. Cao, Y. Li, F. Sun, F. Meng.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2018.

• Understanding Motivations behind Inaccurate Check-ins.
  Fengli Xu, G. Zhang, J. Huang, Y. Li, D. Yang, B. Y. Zhao, F. Meng.
  In ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2018.

• Smartphone App Usage Prediction Using Points of Interest.
  D. Yu, Y. Li, Fengli Xu, P. Zhang, V. Kostakos.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2018.

• Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data.
  Fengli Xu, Z. Tu, Y. Li, P. Zhang, X. Fu, D. Jin.
  In International Conference on World Wide Web (WWW), 2017.

• Beyond k-anonymity: protect your trajectory from semantic attack.
  Z. Tu, K. Zhao, Fengli Xu, Y. Li, L. Su, D. Jin.
  In IEEE International Conference on Sensing, Communication, and Networking (SECON), 2017.

• On the Understanding of Interdependency of Mobile App Usage.
  J. Huang, Fengli Xu, Y. Lin, Y. Li.
  In IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2017.

• [Honorable mention award] Context-aware Real-time Population Estimation for Metropolis.
  Fengli Xu, J. Feng, P. Zhang, Y. Li.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2016.

• Mobile Traffic Data Decomposition for Understanding Human Urban Activities.
  M. Zhang, Fengli Xu, Y. Li.
  In IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2016.

• Understanding mobile traffic patterns of large scale cellular towers in urban environment.
  H. Wang, Fengli Xu, Y. Li, P. Zhang, D. Jin.
  In ACM Internet Measurement Conference (IMC), 2015.

Journal

• Connecting the Dots: User Privacy Is NOT Preserved in ID-removed Cellular Data.
  Fengli Xu, Z. Tu, Y. Li.
  IEEE Transactions on Network and Service Management (TNSM), 2019.

• Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population.
  H. Cao, Fengli Xu, J. Sankaranarayanan, Y. Li, H. Samet.
  IEEE Transactions on Mobile Computing (TMC), 2019.

• A New Privacy Breach: User Trajectory Recovery From Aggregated Mobility Data.
  Z. Tu, Fengli Xu, Y. Li, P. Zhang, D. Jin.
  IEEE/ACM Transactions on Networking (TON), 2018, 26(3):1446-1459.

• A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data.
  J. Feng, Y. Li, Fengli Xu, D. Jin.
  Sensors, 2018, 18(10), 3431.

• Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment.
  Fengli Xu, Y. Li, H. Wang, P. Zhang, D. Jin.
  IEEE/ACM Transactions on Networking (TON), 2017, 25 (2), 1147-1161.

• Mobile Cellular Big Data: Link Cyberspace and Physical World with Social Ecology.
  Fengli Xu, Y. Li, M. Chen, S. Chen.
  IEEE Network, 2016,30(3):6-12.

• Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.
  Fengli Xu, Y. Lin, J. Huang, D. Wu, H. Shi, J. Song, Y. Li.
  IEEE Transaction on Service Computing (TSC), 2016, 9(5):796-805.

• Trace-driven analysis for location-dependent pricing in mobile cellular networks.
  Y. Li, Fengli Xu.
  IEEE Network, 2016, 30(2):40-45.