James J. Q. Yu

66 papers A* 3A 1B 7Journal 40Unranked 15
YearRankTypeTitle / Venue / Authors
2024 J jnl
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder.
CoRR
Yuchen Jiang, Ying Wu, Shiyao Zhang, James J. Q. Yu
2024 J jnl
Generative Adversarial Networks: A Survey on Attack and Defense Perspective.
ACM Comput. Surv.
Chenhan Zhang, Shui Yu, Zhiyi Tian, James J. Q. Yu
2024 J jnl
LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model.
CoRR
Yixuan Yang, Junru Lu, Zixiang Zhao, Zhen Luo, James J. Q. Yu, Victor Sanchez, Feng Zheng
2024 J jnl
Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm.
IEEE Trans. Veh. Technol.
Shengyu Zhang, Shiyao Zhang, Lawrence K. Yeung, James J. Q. Yu
2023 J jnl
Adaptive Modeling of Uncertainties for Traffic Forecasting.
CoRR
Ying Wu, Yongchao Ye, Adnan Zeb, James J. Q. Yu, Zheng Wang
2023 J jnl
Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning.
IEEE Trans. Knowl. Data Eng.
James J. Q. Yu
2023 — conf
Construct New Graphs Using Information Bottleneck Against Property Inference Attacks.
ICC
Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, Shui Yu
2023 — conf
Data-Driven Methods for Travel Time Estimation: A Survey.
ITSC
Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Deep learning for video object segmentation: a review.
Artif. Intell. Rev.
Mingqi Gao, Feng Zheng, James J. Q. Yu, Caifeng Shan, Guiguang Ding, Jungong Han
2023 J jnl
Diffusion Model for GPS Trajectory Generation.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 J jnl
Enhancing Traffic Prediction with Learnable Filter Module.
CoRR
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
2023 A conf
Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck.
AsiaCCS
Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu
2023 — conf
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder.
VTC Fall
Yuchen Jiang, Ying Wu, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting.
CoRR
Adnan Zeb, Yongchao Ye, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms.
IEEE Internet Things J.
Shiyao Zhang, Xingzheng Zhu, Shuai Wang, James J. Q. Yu, Derrick Wing Kwan Ng
2023 J jnl
SAM: Query-efficient Adversarial Attacks against Graph Neural Networks.
ACM Trans. Priv. Secur.
Chenhan Zhang, Shiyao Zhang, James J. Q. Yu, Shui Yu
2023 J jnl
Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach.
IEEE Internet Things J.
Chenhan Zhang, Shuyu Zhang, Xiexin Zou, Shui Yu, James J. Q. Yu
2023 J jnl
Traffic Prediction With Missing Data: A Multi-Task Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach.
IEEE Trans. Intell. Transp. Syst.
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 J jnl
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach.
CoRR
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
2023 A* conf
Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
ICDE
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
2023 J jnl
Video Object Segmentation using Point-based Memory Network.
Pattern Recognit.
Mingqi Gao, Jungong Han, Feng Zheng, James J. Q. Yu, Giovanni Montana
2022 J jnl
A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting.
IEEE Internet Things J.
Chenhan Zhang, Lei Cui, Shui Yu, James J. Q. Yu
2022 J jnl
Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy.
IEEE Trans. Intell. Transp. Syst.
Shiyao Zhang, Christos Markos, James J. Q. Yu
2022 J jnl
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival.
IEEE Trans. Intell. Transp. Syst.
Yongchao Ye, Yuanshao Zhu, Christos Markos, James J. Q. Yu
2022 J jnl
Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication.
IEEE Trans. Intell. Transp. Syst.
Shiyao Zhang, Shuai Wang, Shuai Yu, James J. Q. Yu, Miaowen Wen
2022 J jnl
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach.
IEEE Trans. Intell. Transp. Syst.
Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu
2022 A* conf
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.
NeurIPS
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
2022 J jnl
Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling.
IEEE Internet Things J.
Shiyao Zhang, James J. Q. Yu
2022 J jnl
Graph Construction for Traffic Prediction: A Data-Driven Approach.
IEEE Trans. Intell. Transp. Syst.
James J. Q. Yu
2022 B conf
Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning.
WCNC
Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu
2022 J jnl
Long-Term Origin-Destination Demand Prediction With Graph Deep Learning.
IEEE Trans. Big Data
Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu, Edward Chung
2022 J jnl
Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs.
IEEE Trans. Intell. Transp. Syst.
James J. Q. Yu, Christos Markos, Shiyao Zhang
2022 J jnl
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis.
IEEE Trans. Netw. Sci. Eng.
Yi Liu, Yuanshao Zhu, James J. Q. Yu
2022 J jnl
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories.
IEEE Trans. Intell. Transp. Syst.
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
2022 J jnl
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder.
CoRR
Jiashi Gao, Xinming Shi, James J. Q. Yu
2022 J jnl
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach.
IEEE Internet Things J.
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
2022 J jnl
Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
CoRR
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
2021 B conf
A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification.
IJCNN
Ying Wu, James J. Q. Yu
2021 B conf
Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level.
ICTAI
Jiashi Gao, Xinming Shi, James J. Q. Yu
2021 A* conf
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning.
AAAI
Christos Markos, James J. Q. Yu, Richard Yi Da Xu
2021 J jnl
Citywide traffic speed prediction: A geometric deep learning approach.
Knowl. Based Syst.
James J. Q. Yu
2021 J jnl
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel.
IEEE Trans. Comput. Soc. Syst.
Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song
2021 J jnl
FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting.
IEEE Trans. Ind. Informatics
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
2021 B conf
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data.
IJCNN
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu
2021 B conf
Improving Transportation Mode Identification with Limited GPS Trajectories.
ICTAI
Yuanshao Zhu, Christos Markos, James J. Q. Yu
2021 — conf
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network.
ITSC
Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu
2021 — conf
Origin-Destination Matrix Prediction via Hexagon-based Generated Graph.
ITSC
Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu
2021 J jnl
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis.
CoRR
Yi Liu, Yuanshao Zhu, James J. Q. Yu
2021 — conf
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems.
SSCI
Xinming Shi, Jiashi Gao, Leandro L. Minku, James J. Q. Yu, Xin Yao
2021 — conf
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network.
ICANN (1)
Yongchao Ye, Shiyao Zhang, James J. Q. Yu
2021 J jnl
Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach.
IEEE Trans. Intell. Transp. Syst.
James J. Q. Yu
2021 — conf
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network.
ICANN (1)
Xiaozhuang Song, Yongchao Ye, James J. Q. Yu
2021 — conf
Traffic Data Imputation with Ensemble Convolutional Autoencoder.
ITSC
Yongchao Ye, Shuyu Zhang, James J. Q. Yu
2021 — conf
Transfer Learning in Traffic Prediction with Graph Neural Networks.
ITSC
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
2021 J jnl
Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning.
IEEE Trans. Intell. Transp. Syst.
James J. Q. Yu
2020 J jnl
A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data.
IEEE Access
Yangwen Yu, James J. Q. Yu, Victor O. K. Li, Jacqueline C. K. Lam
2020 B conf
An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting.
GLOBECOM
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
2020 — conf
FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning.
ITSC
Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu
2020 — conf
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data.
ITSC
Xiaozhuang Song, Christos Markos, James J. Q. Yu
2020 J jnl
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach.
IEEE Internet Things J.
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
2020 J jnl
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach.
CoRR
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
2020 — conf
Reconstruction of Missing Trajectory Data: A Deep Learning Approach.
ITSC
Ziwei Wang, Shiyao Zhang, James J. Q. Yu
2020 B conf
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories.
ICPADS
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu
2020 — conf
Unsupervised Deep Learning for GPS-Based Transportation Mode Identification.
ITSC
Christos Markos, James J. Q. Yu
2019 — conf
Online Traffic Speed Estimation for Urban Road Networks with Few Data: A Transfer Learning Approach.
ITSC
James J. Q. Yu