Guang Wang

Orcid: 0000-0002-7739-7945

Affiliations:
  • Florida State University, Tallahassee, FL, USA


According to our database1, Guang Wang authored at least 51 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Towards Accessible Shared Autonomous Electric Mobility With Dynamic Deadlines.
IEEE Trans. Mob. Comput., January, 2024

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach.
IEEE Trans. Mob. Comput., October, 2023

eShare+: A Data-Driven Balancing Mechanism for Bike Sharing Systems Considering Both Quality of Service and Maintenance.
IEEE Trans. Knowl. Data Eng., October, 2023

Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning.
IEEE Trans. Big Data, October, 2023

$\mathrm{W}^{2}$Parking: A Data-Driven Win-Win Contract Parking Sharing Mechanism Under Both Supply and Demand Uncertainties.
IEEE Trans. Knowl. Data Eng., September, 2023

ForETaxi: Data-Driven Fleet-Oriented Charging Resource Allocation in Large-Scale Electric Taxi Networks.
ACM Trans. Sens. Networks, August, 2023

Real-time detection of track fasteners based on object detection and FPGA.
Microprocess. Microsystems, July, 2023

When mobility on demand meets vehicle electrification: a longitudinal study on evolution of city-scale ridesharing.
CCF Trans. Pervasive Comput. Interact., June, 2023

Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties.
IEEE Trans. Intell. Transp. Syst., May, 2023

Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation.
CoRR, 2023

FairCod: A Fairness-aware Concurrent Dispatch System for Large-scale Instant Delivery Services.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

REDE: Exploring Relay Transportation for Efficient Last-mile Delivery.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RLIFE: Remaining Lifespan Prediction for E-scooters.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Urban-scale POI Updating with Crowd Intelligence.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoBuild: Automatic Community Building Labeling for Last-mile Delivery.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Inferring Intersection Traffic Patterns With Sparse Video Surveillance Information: An ST-GAN Method.
IEEE Trans. Veh. Technol., 2022

Fault Prediction of Railway Turnout Systems Based on Improved Sparse Auto Encoder and Gated Recurrent Unit Network.
IEEE Trans. Intell. Transp. Syst., 2022

Adversarial Training Lattice LSTM for Named Entity Recognition of Rail Fault Texts.
IEEE Trans. Intell. Transp. Syst., 2022

Understanding and Predicting the Short-Term Passenger Flow of Station-Free Shared Bikes: A Spatiotemporal Deep Learning Approach.
IEEE Intell. Transp. Syst. Mag., 2022

FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses.
ACM Trans. Intell. Syst. Technol., 2021

A Penalized Convolution Model for Oil Leakage Detection in Electrohydraulic Railway Point Systems.
IEEE Trans. Instrum. Meas., 2021

Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Urban Map Inference by Pervasive Vehicular Sensing Systems with Complementary Mobility.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Concurrent Order Dispatch for Instant Delivery with Time-Constrained Actor-Critic Reinforcement Learning.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Record: Joint Real-Time Repositioning and Charging for Electric Carsharing with Dynamic Deadlines.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MoCha: Large-Scale Driving Pattern Characterization for Usage-based Insurance.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

TrajForesee: How limited detailed trajectories enhance large-scale sparse information to predict vehicle trajectories?
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Understanding the Long-Term Evolution of Electric Taxi Networks: A Longitudinal Measurement Study on Mobility and Charging Patterns.
ACM Trans. Intell. Syst. Technol., 2020

FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Understanding User Behavior in Car Sharing Services Through The Lens of Mobility: Mixing Qualitative and Quantitative Studies.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners.
Comput. Ind., 2020

Modeling Fine-Grained Human Mobility on Cellular Networks.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

CellRep: Usage Representativeness Modeling and Correction Based on Multiple City-Scale Cellular Networks.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

TransLoc: transparent indoor localization with uncertain human participation for instant delivery.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

tCharge - A fleet-oriented real-time charging scheduling system for electric taxi fleets: poster abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Poster: Understanding Long-Term Mobility and Charging Evolving of Shared EV Networks.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2018
coSense: Collaborative Urban-Scale Vehicle Sensing Based on Heterogeneous Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

bCharge: Data-Driven Real-Time Charging Scheduling for Large-Scale Electric Bus Fleets.
Proceedings of the 2018 IEEE Real-Time Systems Symposium, 2018

2017
A Bayesian network model for prediction of weather-related failures in railway turnout systems.
Expert Syst. Appl., 2017

2016
Gap Measurement of Point Machine Using Adaptive Wavelet Threshold and Mathematical Morphology.
Sensors, 2016

AdaBoost and Least Square Based Failure Prediction of Railway Turnouts.
Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016


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