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.