James Jian Qiao Yu

Orcid: 0000-0002-6392-6711

According to our database1, James Jian Qiao Yu authored at least 99 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Generative Adversarial Networks: A Survey on Attack and Defense Perspective.
ACM Comput. Surv., April, 2024

Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm.
IEEE Trans. Veh. Technol., January, 2024

2023
SAM: Query-efficient Adversarial Attacks against Graph Neural Networks.
ACM Trans. Priv. Secur., November, 2023

Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst., August, 2023

Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms.
IEEE Internet Things J., July, 2023

Traffic Prediction With Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023

Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning.
IEEE Trans. Knowl. Data Eng., March, 2023

Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach.
IEEE Internet Things J., March, 2023

Video Object Segmentation using Point-based Memory Network.
Pattern Recognit., 2023

Enhancing Traffic Prediction with Learnable Filter Module.
CoRR, 2023

Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR, 2023

Diffusion Model for GPS Trajectory Generation.
CoRR, 2023

Adaptive Modeling of Uncertainties for Traffic Forecasting.
CoRR, 2023

Deep learning for video object segmentation: a review.
Artif. Intell. Rev., 2023

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Methods for Travel Time Estimation: A Survey.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Construct New Graphs Using Information Bottleneck Against Property Inference Attacks.
Proceedings of the IEEE International Conference on Communications, 2023

Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.
IEEE Trans. Netw. Sci. Eng., 2022

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.
IEEE Trans. Intell. Transp. Syst., 2022

Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy.
IEEE Trans. Intell. Transp. Syst., 2022

Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication.
IEEE Trans. Intell. Transp. Syst., 2022

Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs.
IEEE Trans. Intell. Transp. Syst., 2022

Graph Construction for Traffic Prediction: A Data-Driven Approach.
IEEE Trans. Intell. Transp. Syst., 2022

CatETA: A Categorical Approximate Approach for Estimating Time of Arrival.
IEEE Trans. Intell. Transp. Syst., 2022

Long-Term Origin-Destination Demand Prediction With Graph Deep Learning.
IEEE Trans. Big Data, 2022

Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach.
IEEE Internet Things J., 2022

Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling.
IEEE Internet Things J., 2022

A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting.
IEEE Internet Things J., 2022

Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder.
CoRR, 2022

Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2021

Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning.
IEEE Trans. Intell. Transp. Syst., 2021

FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting.
IEEE Trans. Ind. Informatics, 2021

Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel.
IEEE Trans. Comput. Soc. Syst., 2021

Citywide traffic speed prediction: A geometric deep learning approach.
Knowl. Based Syst., 2021

Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Traffic Data Imputation with Ensemble Convolutional Autoencoder.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Origin-Destination Matrix Prediction via Hexagon-based Generated Graph.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Transfer Learning in Traffic Prediction with Graph Neural Networks.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Transportation Mode Identification with Limited GPS Trajectories.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach.
IEEE Internet Things J., 2020

A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data.
IEEE Access, 2020

Reconstruction of Missing Trajectory Data: A Deep Learning Approach.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Unsupervised Deep Learning for GPS-Based Transportation Mode Identification.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Delay Aware Power System Synchrophasor Recovery and Prediction Framework.
IEEE Trans. Smart Grid, 2019

Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks.
IEEE Trans. Smart Grid, 2019

Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2019

Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder.
IEEE Trans. Intell. Transp. Syst., 2019

Two-Stage Request Scheduling for Autonomous Vehicle Logistic System.
IEEE Trans. Intell. Transp. Syst., 2019

Core-Selecting Auctions for Autonomous Vehicle Public Transportation System.
IEEE Syst. J., 2019

Synchrophasor Recovery and Prediction: A Graph-Based Deep Learning Approach.
IEEE Internet Things J., 2019

Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting.
IEEE Access, 2019

Online Traffic Speed Estimation for Urban Road Networks with Few Data: A Transfer Learning Approach.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

PPGAN: Privacy-Preserving Generative Adversarial Network.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018
Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm.
IEEE Trans. Smart Grid, 2018

Double Auction-Based Pricing Mechanism for Autonomous Vehicle Public Transportation System.
IEEE Trans. Intell. Veh., 2018

Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy.
IEEE Trans. Intell. Transp. Syst., 2018

Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks.
IEEE Trans. Ind. Informatics, 2018

Delay aware transient stability assessment with synchrophasor recovery and prediction framework.
Neurocomputing, 2018

2017
A Unified Framework for Wide Area Measurement System Planning.
CoRR, 2017

Delay Aware Intelligent Transient Stability Assessment System.
IEEE Access, 2017

Energy exchange coordination of off-grid charging stations with Vehicular Energy Network.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Robust Routing for Vehicular Energy Network.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Low-rank singular value thresholding for recovering missing air quality data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A social spider algorithm for solving the non-convex economic load dispatch problem.
Neurocomputing, 2016

Intelligent Time-Adaptive Transient Stability Assessment System.
CoRR, 2016

Maximizing aggregator profit through energy trading by coordinated electric vehicle charging.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Coordinated autonomous vehicle parking for vehicle-to-grid services.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Joint relay and user selection for two-hop multi-relay multi-user MIMO systems.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016

2015
Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load Control.
CoRR, 2015

A social spider algorithm for global optimization.
Appl. Soft Comput., 2015

Adaptive Chemical Reaction Optimization for global numerical optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Parameter sensitivity analysis of Social Spider Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
An inter-molecular adaptive collision scheme for Chemical Reaction Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Chemical reaction optimization for the set covering problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Base station switching problem for green cellular networks with Social Spider Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Power-Controlled Cognitive Radio Spectrum Allocation with Chemical Reaction Optimization.
IEEE Trans. Wirel. Commun., 2013

Optimal V2G scheduling of electric vehicles and Unit Commitment using Chemical Reaction Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
Real-Coded Chemical Reaction Optimization.
IEEE Trans. Evol. Comput., 2012

Sensor deployment for air pollution monitoring using public transportation system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Real-coded chemical reaction optimization with different perturbation functions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Chemical Reaction Optimization for the optimal power flow problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Evolutionary artificial neural network based on Chemical Reaction Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011


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