James J. Q. Yu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 66

Top Topics

Reservoir Computing

Data Imputation

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Internet Things J.

Publications

Chenhan Zhang, Shui Yu, Zhiyi Tian, James J. Q. Yu
Generative Adversarial Networks: A Survey on Attack and Defense Perspective. ACM Comput. Surv. 56 (4) (2024)
Yuchen Jiang, Ying Wu, Shiyao Zhang, James J. Q. Yu
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder. CoRR (2024)
Shengyu Zhang, Shiyao Zhang, Lawrence K. Yeung, James J. Q. Yu
Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm. IEEE Trans. Veh. Technol. 73 (1) (2024)
Yixuan Yang, Junru Lu, Zixiang Zhao, Zhen Luo, James J. Q. Yu, Victor Sanchez, Feng Zheng
LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model. CoRR (2024)
Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
Traffic Prediction With Missing Data: A Multi-Task Learning Approach. IEEE Trans. Intell. Transp. Syst. 24 (4) (2023)
Yuchen Jiang, Ying Wu, Shiyao Zhang, James J. Q. Yu
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder. VTC Fall (2023)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Enhancing Traffic Prediction with Learnable Filter Module. CoRR (2023)
James J. Q. Yu
Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Chenhan Zhang, Weiqi Wang, James J. Q. Yu, Shui Yu
Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. AsiaCCS (2023)
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao, James J. Q. Yu
Diffusion Model for GPS Trajectory Generation. CoRR (2023)
Chenhan Zhang, Zhiyi Tian, James J. Q. Yu, Shui Yu
Construct New Graphs Using Information Bottleneck Against Property Inference Attacks. ICC (2023)
Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Data-Driven Methods for Travel Time Estimation: A Survey. ITSC (2023)
Shiyao Zhang, Xingzheng Zhu, Shuai Wang, James J. Q. Yu, Derrick Wing Kwan Ng
Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms. IEEE Internet Things J. 10 (13) (2023)
Chenhan Zhang, Shiyao Zhang, James J. Q. Yu, Shui Yu
SAM: Query-efficient Adversarial Attacks against Graph Neural Networks. ACM Trans. Priv. Secur. 26 (4) (2023)
Ying Wu, Yongchao Ye, Adnan Zeb, James J. Q. Yu, Zheng Wang
Adaptive Modeling of Uncertainties for Traffic Forecasting. CoRR (2023)
Mingqi Gao, Feng Zheng, James J. Q. Yu, Caifeng Shan, Guiguang Ding, Jungong Han
Deep learning for video object segmentation: a review. Artif. Intell. Rev. 56 (1) (2023)
Chenhan Zhang, Shuyu Zhang, Xiexin Zou, Shui Yu, James J. Q. Yu
Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. IEEE Internet Things J. 10 (5) (2023)
Mingqi Gao, Jungong Han, Feng Zheng, James J. Q. Yu, Giovanni Montana
Video Object Segmentation using Point-based Memory Network. Pattern Recognit. 134 (2023)
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach. IEEE Trans. Intell. Transp. Syst. 24 (8) (2023)
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, James J. Q. Yu
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach. CoRR (2023)
Adnan Zeb, Yongchao Ye, Shiyao Zhang, James J. Q. Yu
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR (2023)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE (2023)
Chenhan Zhang, Shiyao Zhang, Shui Yu, James J. Q. Yu
Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. WCNC (2022)
Yongchao Ye, Yuanshao Zhu, Christos Markos, James J. Q. Yu
CatETA: A Categorical Approximate Approach for Estimating Time of Arrival. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. CoRR (2022)
Shiyao Zhang, James J. Q. Yu
Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling. IEEE Internet Things J. 9 (8) (2022)
Shiyao Zhang, Christos Markos, James J. Q. Yu
Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, James J. Q. Yu
Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. IEEE Internet Things J. 9 (14) (2022)
James J. Q. Yu
Graph Construction for Traffic Prediction: A Data-Driven Approach. IEEE Trans. Intell. Transp. Syst. 23 (9) (2022)
Jiashi Gao, Xinming Shi, James J. Q. Yu
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder. CoRR (2022)
James J. Q. Yu, Christos Markos, Shiyao Zhang
Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Shiyao Zhang, Shuai Wang, Shuai Yu, James J. Q. Yu, Miaowen Wen
Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu, Edward Chung
Long-Term Origin-Destination Demand Prediction With Graph Deep Learning. IEEE Trans. Big Data 8 (6) (2022)
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Chenhan Zhang, Lei Cui, Shui Yu, James J. Q. Yu
A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting. IEEE Internet Things J. 9 (14) (2022)
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. NeurIPS (2022)
Yuanshao Zhu, Yongchao Ye, Yi Liu, James J. Q. Yu
Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Yuanshao Zhu, Christos Markos, James J. Q. Yu
Improving Transportation Mode Identification with Limited GPS Trajectories. ICTAI (2021)
Jiashi Gao, Xinming Shi, James J. Q. Yu
Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level. ICTAI (2021)
James J. Q. Yu
Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning. IEEE Trans. Intell. Transp. Syst. 22 (2) (2021)
Xiaozhuang Song, Chenhan Zhang, James J. Q. Yu
Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. ITSC (2021)
Christos Markos, James J. Q. Yu, Richard Yi Da Xu
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. AAAI (2021)
James J. Q. Yu
Citywide traffic speed prediction: A geometric deep learning approach. Knowl. Based Syst. 212 (2021)
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, James J. Q. Yu
Transfer Learning in Traffic Prediction with Graph Neural Networks. ITSC (2021)
Yongchao Ye, Shuyu Zhang, James J. Q. Yu
Traffic Data Imputation with Ensemble Convolutional Autoencoder. ITSC (2021)
Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J. Q. Yu, Xiaozhuang Song
Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Yongchao Ye, Shiyao Zhang, James J. Q. Yu
Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network. ICANN (1) (2021)
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. IJCNN (2021)
Xiaozhuang Song, Yongchao Ye, James J. Q. Yu
TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. ICANN (1) (2021)
James J. Q. Yu
Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Yixuan Yang, Shiyao Zhang, Chenhan Zhang, James J. Q. Yu
Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. ITSC (2021)
Yi Liu, Yuanshao Zhu, James J. Q. Yu
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis. CoRR (2021)
Ying Wu, James J. Q. Yu
A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification. IJCNN (2021)
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting. IEEE Trans. Ind. Informatics 17 (12) (2021)
Xinming Shi, Jiashi Gao, Leandro L. Minku, James J. Q. Yu, Xin Yao
Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems. SSCI (2021)
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach. IEEE Internet Things J. 7 (8) (2020)
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, James J. Q. Yu
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. ICPADS (2020)
Christos Markos, James J. Q. Yu
Unsupervised Deep Learning for GPS-Based Transportation Mode Identification. ITSC (2020)
Yi Liu, James J. Q. Yu, Jiawen Kang, Dusit Niyato, Shuyu Zhang
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach. CoRR (2020)
Ziwei Wang, Shiyao Zhang, James J. Q. Yu
Reconstruction of Missing Trajectory Data: A Deep Learning Approach. ITSC (2020)
Yi Liu, Shuyu Zhang, Chenhan Zhang, James J. Q. Yu
FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. ITSC (2020)
Yangwen Yu, James J. Q. Yu, Victor O. K. Li, Jacqueline C. K. Lam
A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data. IEEE Access 8 (2020)
Xiaozhuang Song, Christos Markos, James J. Q. Yu
MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data. ITSC (2020)
Chenhan Zhang, Shuyu Zhang, James J. Q. Yu, Shui Yu
An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. GLOBECOM (2020)
James J. Q. Yu
Online Traffic Speed Estimation for Urban Road Networks with Few Data: A Transfer Learning Approach. ITSC (2019)