Publications

Feel free to check out my Google Scholar page.

Featured Publications

(* equal contribution, † corresponding author)

• Chang Liu*, Fengli Xu*, Chen Gao, Zhaocheng Wang, Yong Li, and Jianxi Gao. Deep learning resilience inference for complex networked systems. To appear in Nature Communications.
• Fengli Xu, Qi Wang, Esteban Moro, Lin Chen, Arianna Salazar Miranda, Marta C. Gonzalez, Michele Tizzoni, Chaoming Song, Carlo Ratti, Luis Bettencourt, Yong Li, and James Evans. Mobility Behaviour Data Quantifies Experienced Inequalities in Urban Space. To appear in Nature Human Behaviour.
• Fengli Xu, Lingfei Wu, James Evans. Flat Teams Drive Scientific Innovation. Proceedings of the National Academy of Sciences (PNAS), 119.23 (2022): e2200927119. PDF Link
• Lin Chen*, Fengli Xu*, Zhenyu Han, Kun Tang, Pan Hui, James Evans, Yong Li. Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity. Nature Human Behaviour (2022): 1-12. (*: equal contributions) PDF Link
• Fengli Xu, Yong Li, Depeng Jin, Jianhua Lu, Chaoming Song. Emergence of Urban Growth Patterns from Human Mobility Behavior. Nature Computational Science, 1.12 (2021): 791-800. PDF Link Code
• Fengli Xu, Quanming Yao, Pan Hui, Yong Li. Automorphic Equivalence-aware Graph Neural Network. Advances in Neural Information Processing Systems (NeurIPS), 34 (2021). PDF Link Code

Journal Publications

• Baining Zhao, Xuzhe Wang, Tianyu Zhang, Rongye Shi, Fengli Xu, et al. Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home orders. Nature Humanities and Social Sciences Communications, 2024. Link
• Yunke Zhang, Tong Li, Yuan Yuan, Fengli Xu, et al. Demand-Driven Urban Facility Visit Prediction. ACM Transactions on Intelligent Systems and Technology (TIST), 2024. Link
• Yunke Zhang, Fengli Xu, Lin Chen, et al. Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities. *Nature Humanities and Social Sciences Communications, 2024. Link
• Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, et al. History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Transactions on Knowledge Discovery from Data (TKDD), 2023. Link
• Qianyue Hao, Fengli Xu†, Lin Chen, et al. Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information. ACM Transactions on Intelligent Systems and Technology (TIST), 2022. Link
• Guozhen Zhang, Fengli Xu, Yuan Yuan, et al. Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation. IEEE Transactions on Computational Social Systems (TCSS), 2022. Link
• Yuan Yuan, Fengli Xu, Hancheng Cao, et al. Persuade to Click: Context-aware Persuasion Model for Online Textual Advertisement. IEEE Transactions on Knowledge and Data Engineering (TKDE), (2021). Link
• Tong Xia, Yong Li, Yue Yu, Fengli Xu, et al. Understanding urban dynamics via state-sharing hidden markov model. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33.10 (2020): 3468-3481. Link
• Fengli Xu, Yong Li, Zhen Tu, et al. No More than What I Post: Preventing Linkage Attacks on Check-in Services. IEEE Transactions on Mobile Computing (TMC), 20.2 (2019): 620-633. Link
• Fengli Xu, Zhen Tu, Yong Li. Connecting the Dots: User Privacy Is NOT Preserved in ID-removed Cellular Data. IEEE Transactions on Network and Service Management (TNSM), 17.1 (2019): 147-159. Link
• Hancheng Cao, Fengli Xu, Jane Sankaranarayanan, et al. Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population. IEEE Transactions on Mobile Computing (TMC), 19.5 (2019): 1096-1108. Link
• Kai Zhao, Zhen Tu, Fengli Xu, et al. Walking without friends: Publishing anonymized trajectory dataset without leaking social relationships. IEEE Transactions on Network and Service Management (TNSM), 16.3 (2019): 1212-1225. Link
• Zhen Tu, Fengli Xu, Yong Li, et al. A New Privacy Breach: User Trajectory Recovery From Aggregated Mobility Data. IEEE/ACM Transactions on Networking (TON), 26.3 (2018): 1446-1459. Link
• Jie Feng, Yong Li, Fengli Xu, et al. A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data. Sensors, 18.10 (2018): 3431. Link
• Zhen Tu, Kai Zhao, Fengli Xu, et al. Protecting Trajectory From Semantic Attack Considering k-Anonymity, l-Diversity, and t-Closeness. IEEE Transactions on Network and Service Management (TNSM), 16.1 (2018): 264-278. Link
• Fengli Xu, Yong Li, Huandong Wang, et al. Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment. IEEE/ACM Transactions on Networking (TON), 25.2 (2016): 1147-1161. Link
• Fengli Xu, Yong Li, Min Chen, et al. Mobile Cellular Big Data: Link Cyberspace and the Physical World with Social Ecology. IEEE Network, 30.3 (2016): 6-12. Link
• Fengli Xu, Yujun Lin, Jiaxin Huang, et al. Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Transaction on Service Computing (TSC), 9.5 (2016): 796-805. Link
• Yong Li, Fengli Xu. Trace-driven analysis for location-dependent pricing in mobile cellular networks. IEEE Network, 30.2 (2016): 40-45. Link

Conference Publications

• Lin Chen, Fengli Xu†, et al. Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), (2024) 307-318. Link
• Chen Gao, Fengli Xu, et al. Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. Companion Proceedings of the ACM on Web Conference 2024, (2024) 1290-1293. Link
• Lin Chen, Fengli Xu†, P Hui, et al. Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data. International AAAI Conference on Web and Social Media (ICWSM), 17 (2023): 126-136. Link
• Q. Hao, W. Huang, Fengli Xu, et al. Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), (2022): 4684-4694. Link
• Yunke Zhang, Fengli Xu†, Tong Xia, et al. Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 5.4 (2021): 1-30. Link
• Qianyue Hao, Fengli Xu†, Lin Chen, et al. Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information. Proceedings of ACM SIGKDD Conference on Knowledge Discovery & Data Mining (SIGKDD). 2021. Link
• Fengli Xu, Guozhen Zhang, Yuan Yuan, et al. Understanding the Invitation Acceptance in Agent-initiated Social E-commerce. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM). Vol. 15. 2021. Link
• Jinghua Piao, Guozhen Zhang, Fengli Xu, et al. Bringing Friends into the Loop of Recommender Systems: An Exploratory Study. Proceedings of the ACM on Human-Computer Interaction (CSCW), 5.CSCW2 (2021): 1-26. Link
• Zhilong Chen, Hancheng Cao, Yuting Deng, Xuan Gao, Jinghua Piao, Fengli Xu, et al. Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic. Proceedings of CHI Conference on Human Factors in Computing Systems (SIGCHI). 2021. Link
• Zhenyu Han, Haohan Fu, Fengli Xu, et al. Who Will Survive and Revive Undergoing the Epidemic: Analyses about POI Visit Behavior in Wuhan via Check-in Records. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 5.2 (2021): 1-20. Link
• Jinghua Piao, Guozhen Zhang, Fengli Xu, et al. Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks. Proceedings of the Web Conference (WWW). 2021. Link
• Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, et al. Community Value Prediction in Social E-commerce. Proceedings of the Web Conference (WWW). 2021. Link
• Yunke Zhang, Fengli Xu†, Tong Li, et al. Passive Health Monitoring Using Large Scale Mobility Data. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 5.1 (2021): 1-23. Link
• Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, et al. AttnMove: History Enhanced Trajectory Recovery via Attentional Network. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 35.5 (2021). Link
• Fengli Xu, Yong Li, Shusheng Xu. Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD). 2020. Link
• Fengli Xu, Zongyu Lin, Tong Xia, et al. SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 4.3 (2020): 1-25. Link
• Zongyu Lin, Shiqing Lyu, Hancheng Cao, Fengli Xu, et al. HealthWalks: Sensing Fine-grained Individual Health Condition via Mobility Data. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 4.4 (2020): 1-26. Link
• Zhenyu Han, Fengli Xu, Jinghan Shi, et al. Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. Proceedings of ACM International Conference on Information & Knowledge Management (CIKM). 2020. Link
• Zhilong Chen, Hancheng Cao, Fengli Xu, et al. Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian. Proceedings of the ACM on Human-Computer Interaction (CSCW), 4.CSCW2 (2020): 1-24. Link
• Zhilong Chen, Hancheng Cao, Huangdong Wang, Fengli Xu, et al. Will You Come Back/Check-in Again? Understanding Characteristics Leading to Urban Revisitation and Re-check-in. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 4.3 (2020): 1-27. Link
• Qianyue Hao, Lin Chen, Fengli Xu†, et al. Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD). 2020. Link
• Jie Feng, Zeyu Yang, Fengli Xu, et al. Learning to Simulate Human Mobility. Proceedings of ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (SIGKDD). 2020. Link
• Hancheng Cao, Zhilong Chen, Fengli Xu, et al. When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), Vol. 14. 2020. Link
• Fengli Xu, Jianxun Lian, Zhenyu Han, et al. Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. Proceedings of ACM international conference on information and knowledge management (CIKM). 2019. Link
• Fengli Xu, Zhenyu Han, Jinhua Piao, et al. “I Think You’ll Like It”: Modelling the Online Purchase Behavior in Social E-commerce. Proceedings of the ACM on Human-Computer Interaction (CSCW), 3.CSCW (2019): 1-23. Link
• Hancheng Cao, Zhilong Chen, Fengli Xu, et al. Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2.4 (2018): 1-24. Link
• Fengli Xu, Zhen Tu, Hongjia Huang, et al. No More than What I Post: Preventing Linkage Attacks on Check-in Services. The World Wide Web Conference (WWW). 2019. Link
• Tong Xia, Yue Yu, Fengli Xu, et al. Understanding Urban Dynamics via State-sharing Hidden Markov Model. The World Wide Web Conference (WWW). 2019. Link
• Fengli Xu, Tong Xia, Hancheng Cao, et al. Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2.1 (2018): 1-25. Link
• Fengli Xu, Guozhen Zhang, Jiaxin Huang, et al. Understanding Motivations behind Inaccurate Check-ins. Proceedings of the ACM on Human-Computer Interaction (CSCW), 2.CSCW (2018): 1-22. Link
• Donghan Yu, Yong Li, Fengli Xu, et al. Smartphone App Usage Prediction Using Points of Interest. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 1.4 (2018): 1-21. Link
• Fengli Xu, Zhen Tu, Yong Li, et al. Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data. Proceedings of International Conference on World Wide Web (WWW). 2017. Link
• Zhen Tu, Kai Zhao, Fengli Xu, et al. Beyond k-anonymity: protect your trajectory from semantic attack. IEEE International Conference on Sensing, Communication, and Networking (SECON). 2017. Link
• Jiaxin Huang, Fengli Xu, Yujun Lin, et al. On the Understanding of Interdependency of Mobile App Usage. IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS). 2017. Link
• Fengli Xu, Jie Feng, Pengyu Zhang, et al. Context-aware Real-time Population Estimation for Metropolis. ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp). 2016. Link
• Mingyang Zhang, Fengli Xu, Yong Li. Mobile Traffic Data Decomposition for Understanding Human Urban Activities. IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS). 2016. Link