Zipei Fan

Orcid: 0000-0002-1442-1530

According to our database1, Zipei Fan authored at least 68 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
TrafPS: A shapley-based visual analytics approach to interpret traffic.
Comput. Vis. Media, December, 2024

Hyper-relational knowledge graph neural network for next POI recommendation.
World Wide Web (WWW), July, 2024

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput., May, 2024

A geometry-driven neural topic model for trip purpose inference.
GeoInformatica, April, 2024

Taming the Long Tail in Human Mobility Prediction.
CoRR, 2024

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only.
CoRR, 2024

PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval.
CoRR, 2024

Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation.
IEEE Trans. Knowl. Data Eng., November, 2023

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
IEEE Trans. Vis. Comput. Graph., August, 2023

Domain Adversarial Graph Convolutional Network Based on RSSI and Crowdsensing for Indoor Localization.
IEEE Internet Things J., August, 2023

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.
World Wide Web (WWW), July, 2023

ST-ExpertNet: A Deep Expert Framework for Traffic Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory.
IEEE Trans. Intell. Transp. Syst., May, 2023

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Trans. Knowl. Data Eng., 2023

Discovering Key Sub-Trajectories to Explain Traffic Prediction.
Sensors, 2023

Enhancing Trajectory Recovery From Gradients via Mobility Prior Knowledge.
IEEE Internet Things J., 2023

A Survey on Data-driven COVID-19 and Future Pandemic Management.
ACM Comput. Surv., 2023

Hyper-Relational Knowledge Graph Neural Network for Next POI.
CoRR, 2023

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility.
CoRR, 2023

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation.
CoRR, 2023

Metropolitan-scale Mobility Digital Twin.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Towards an Event-Aware Urban Mobility Prediction System.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Encoding based Hybrid Vision Transformer for Automatic Road Network Extraction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hybrid Feature Embedding for Automatic Building Outline Extraction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Conditional Matching GAN Guided Reconstruction Attack in Machine Unlearning.
Proceedings of the IEEE Global Communications Conference, 2023

Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Trans. Intell. Syst. Technol., 2022

GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation.
IEEE Internet Things J., 2022

Will you go where you search? A deep learning framework for estimating user search-and-go behavior.
Neurocomputing, 2022

TrafPS: A Visual Analysis System Interpreting Traffic Prediction in Shapley.
CoRR, 2022

Generative Personalized Federated Learning Framework for Travel Time Estimation.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Cross-Scale Attention-based Tree Crown Detection via UAV imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Personalized individual trajectory prediction via meta-learning.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Online trajectory prediction for metropolitan scale mobility digital twin.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Exploring intercity regional similarity using worldwide location-based social network data (demo paper).
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Heterogeneous Hypergraph Neural Network for Friend Recommendation with Human Mobility.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data, 2021

Transfer Urban Human Mobility via POI Embedding over Multiple Cities.
Trans. Data Sci., 2021

FedVoting: A Cross-Silo Boosting Tree Construction Method for Privacy-Preserving Long-Term Human Mobility Prediction.
Sensors, 2021

Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Human mobility based individual-level epidemic simulation platform.
ACM SIGSPATIAL Special, 2020

Trajectory fingerprint: one-shot human trajectory identification using Siamese network.
CCF Trans. Pervasive Comput. Interact., 2020

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Multimodal Interaction-Aware Trajectory Prediction in Crowded Space.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Decentralized Attention-based Personalized Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR, 2019

A Variational Autoencoder Based Generative Model of Urban Human Mobility.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Deep Multiple Instance Learning for Human Trajectory Identification.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
Deep ROI-Based Modeling for Urban Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Online Deep Ensemble Learning for Predicting Citywide Human Mobility.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

DeepRailway: A Deep Learning System for Forecasting Railway Traffic.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

A Context-Aware Nonnegative Matrix Factorization Framework for Traffic Accident Risk Estimation via Heterogeneous Data.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Outbound behavior analysis through social network data: A case study of Chinese people in Japan.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users.
ISPRS Int. J. Geo Inf., 2016

A Collaborative Filtering Approach to Citywide Human Mobility Completion from Sparse Call Records.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

CityCoupling: bridging intercity human mobility.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
CityMomentum: an online approach for crowd behavior prediction at a citywide level.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
CitySpectrum: a non-negative tensor factorization approach.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2012
Monocular Pedestrian Tracking from a Moving Vehicle.
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012


  Loading...