Publications

You may also interested in my Google Scholar Profile.

Conference

• When E-Commerce Meets Intimacy: An Empirical Study of Social Commerce Site Beidian.
  Hancheng Cao, Zhilong Chen, Fengli Xu, Yong Li, Tao 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, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing 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, Zhenyu Han, Jinhua Piao, Yong 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, Zhen Tu, Hongjia Huang, Shuhao Chang, Funing Sun, Diansheng Guo, Yong Li.
  In the Web Conference (WWW), 2019.

• Understanding Urban Dynamics via State-sharing Hidden Markov Model.
  Tong Xia, Yue Yu, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin, Yong Li.
  In the Web Conference (WWW), 2019.

• Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps.
  Hancheng Cao, Zhilong Chen, Fengli Xu, Yong Li, Vassilis 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, Tong Xia, Hancheng Cao, Yong Li, Funing Sun, Fanchao Meng.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2018.

• Understanding Motivations behind Inaccurate Check-ins.
  Fengli Xu, Guozhen Zhang, Jiaxin Huang, Yong Li, Diyi Yang, Ben Y. Zhao, Fanchao Meng.
  In ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2018.

• Smartphone App Usage Prediction Using Points of Interest.
  Donghan Yu, Yong Li, Fengli Xu, Pengyu Zhang, Vassilis 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, Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu, Depeng Jin.
  In International Conference on World Wide Web (WWW), 2017.

• Beyond k-anonymity: protect your trajectory from semantic attack.
  Zhen Tu, Kai Zhao, Fengli Xu, Yong Li, Li Su, Depeng Jin.
  In IEEE International Conference on Sensing, Communication, and Networking (SECON), 2017.

• On the Understanding of Interdependency of Mobile App Usage.
  Jiaxin Huang, Fengli Xu, Yujun Lin, Yong 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, Jie Feng, Pengyu Zhang, Yong Li.
  In ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP), 2016.

• Mobile Traffic Data Decomposition for Understanding Human Urban Activities.
  Mingyang Zhang, Fengli Xu, Yong 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.
  Huandong Wang, Fengli Xu, Yong Li, Pengyu Zhang, Depeng Jin.
  In ACM Internet Measurement Conference (IMC), 2015.

Journal

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

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

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

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

• Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment.
  Fengli Xu, Yong Li, Huandong Wang, Pengyu Zhang, Depeng 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, Yong Li, Min Chen, Shen Chen.
  IEEE Network, 2016,30(3):6-12.

• Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.
  Fengli Xu, Yujun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li.
  IEEE Transaction on Service Computing (TSC), 2016, 9(5):796-805.

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