Fengli Xu

Orcid: 0000-0002-5720-4026

According to our database1, Fengli Xu authored at least 69 papers between 2016 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
<sup>Data-</sup> <sup>driven</sup> <sup>and</sup> <sup>knowledge-</sup> <sup>guided prediction model of milling tool life</sup> <sup>grade</sup>.
Int. J. Comput. Integr. Manuf., June, 2024

History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network.
ACM Trans. Knowl. Discov. Data, April, 2024

Demand-driven Urban Facility Visit Prediction.
ACM Trans. Intell. Syst. Technol., April, 2024

Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network.
CoRR, 2024

Beyond Imitation: Generating Human Mobility from Context-aware Reasoning with Large Language Models.
CoRR, 2024

DefInt: A Default-interventionist Framework for Efficient Reasoning with Hybrid Large Language Models.
CoRR, 2024

Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation.
IEEE Trans. Comput. Soc. Syst., August, 2023

Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information.
ACM Trans. Intell. Syst. Technol., February, 2023

Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement.
IEEE Trans. Knowl. Data Eng., 2023

Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives.
CoRR, 2023

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment.
CoRR, 2023

Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022
Quantifying hierarchy in scientific teams.
CoRR, 2022

Flat Teams Drive Scientific Innovation.
CoRR, 2022

Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Causal Analysis on the Anchor Store Effect in a Location-based Social Network.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021
No More than What I Post: Preventing Linkage Attacks on Check-in Services.
IEEE Trans. Mob. Comput., 2021

Understanding Urban Dynamics via State-Sharing Hidden Markov Model.
IEEE Trans. Knowl. Data Eng., 2021

Bringing Friends into the Loop of Recommender Systems: An Exploratory Study.
Proc. ACM Hum. Comput. Interact., 2021

Emergence of urban growth patterns from human mobility behavior.
Nat. Comput. Sci., 2021

Quantifying the Causal Effect of Individual Mobility on Health Status in Urban Space.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Passive Health Monitoring Using Large Scale Mobility Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Who Will Survive and Revive Undergoing the Epidemic: Analyses about POI Visit Behavior in Wuhan via Check-in Records.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity.
CoRR, 2021

Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities.
CoRR, 2021

Community Value Prediction in Social E-commerce.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Automorphic Equivalence-aware Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Understanding the Invitation Acceptance in Agent-initiated Social E-commerce.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges during the COVID-19 Pandemic.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

AttnMove: History Enhanced Trajectory Recovery via Attentional Network.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Connecting the Dots: User Privacy is not Preserved in ID-Removed Cellular Data.
IEEE Trans. Netw. Serv. Manag., 2020

Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population.
IEEE Trans. Mob. Comput., 2020

Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian.
Proc. ACM Hum. Comput. Interact., 2020

SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

HealthWalks: Sensing Fine-grained Individual Health Condition via Mobility Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Will You Come Back / Check-in Again?: Understanding Characteristics Leading to Urban Revisitation and Re-check-in.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Graph Neural Network with Automorphic Equivalence Filters.
CoRR, 2020

A Large-Scale Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic.
CoRR, 2020

Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Learning to Simulate Human Mobility.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Walking Without Friends: Publishing Anonymized Trajectory Dataset Without Leaking Social Relationships.
IEEE Trans. Netw. Serv. Manag., 2019

Protecting Trajectory From Semantic Attack Considering ${k}$ -Anonymity, ${l}$ -Diversity, and ${t}$ -Closeness.
IEEE Trans. Netw. Serv. Manag., 2019

"I Think You'll Like It": Modelling the Online Purchase Behavior in Social E-commerce.
Proc. ACM Hum. Comput. Interact., 2019

No More than What I Post: Preventing Linkage Attacks on Check-in Services.
Proceedings of the World Wide Web Conference, 2019

Understanding Urban Dynamics via State-sharing Hidden Markov Model.
Proceedings of the World Wide Web Conference, 2019

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A New Privacy Breach: User Trajectory Recovery From Aggregated Mobility Data.
IEEE/ACM Trans. Netw., 2018

A Bimodal Model to Estimate Dynamic Metropolitan Population by Mobile Phone Data.
Sensors, 2018

Understanding Motivations behind Inaccurate Check-ins.
Proc. ACM Hum. Comput. Interact., 2018

Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Revisitation in Urban Space vs. Online: A Comparison across POIs, Websites, and Smartphone Apps.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Locally Differentially Private Participant Recruitment for Mobile Crowdsourcing.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Detecting Human Interaction Borders in City: The Shanghai Case.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment.
IEEE/ACM Trans. Netw., 2017

Smartphone App Usage Prediction Using Points of Interest.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data.
Proceedings of the 26th International Conference on World Wide Web, 2017

Beyond K-Anonymity: Protect Your Trajectory from Semantic Attack.
Proceedings of the 14th Annual IEEE International Conference on Sensing, 2017

On the Understanding of Interdependency of Mobile App Usage.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

2016
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.
IEEE Trans. Serv. Comput., 2016

Mobile cellular big data: linking cyberspace and the physical world with social ecology.
IEEE Netw., 2016

Trace-driven analysis for location-dependent pricing in mobile cellular networks.
IEEE Netw., 2016

Mobile Traffic Data Decomposition for Understanding Human Urban Activities.
Proceedings of the 13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2016

Context-aware real-time population estimation for metropolis.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016


  Loading...