Evolutionary artificial neural network based on Chemical Reaction Optimization. - James Jian Qiao Yu; Albert Y. S. Lam; Victor O. K. Li (IEEE Congress on Evolutionary Computation, 2011)

Chemical Reaction Optimization for the optimal power flow problem. - Yi Sun; Albert Y. S. Lam; Victor O. K. Li; Jin Xu; James Jian Qiao Yu (IEEE Congress on Evolutionary Computation, 2012)

Real-coded chemical reaction optimization with different perturbation functions. - James Jian Qiao Yu; Albert Y. S. Lam; Victor O. K. Li (IEEE Congress on Evolutionary Computation, 2012)

Sensor deployment for air pollution monitoring using public transportation system. - James Jian Qiao Yu; Victor O. K. Li; Albert Y. S. Lam (IEEE Congress on Evolutionary Computation, 2012)

Real-Coded Chemical Reaction Optimization. - Albert Y. S. Lam; Victor O. K. Li; James Jian Qiao Yu (IEEE Trans. Evol. Comput., 2012)

Optimal V2G scheduling of electric vehicles and Unit Commitment using Chemical Reaction Optimization. - James Jian Qiao Yu; Victor O. K. Li; Albert Y. S. Lam (IEEE Congress on Evolutionary Computation, 2013)

Power-Controlled Cognitive Radio Spectrum Allocation with Chemical Reaction Optimization. - Albert Y. S. Lam; Victor O. K. Li; James Jian Qiao Yu (IEEE Trans. Wirel. Commun., 2013)

Base station switching problem for green cellular networks with Social Spider Algorithm. - James Jian Qiao Yu; Victor O. K. Li (IEEE Congress on Evolutionary Computation, 2014)

Chemical reaction optimization for the set covering problem. - James Jian Qiao Yu; Albert Y. S. Lam; Victor O. K. Li (IEEE Congress on Evolutionary Computation, 2014)

An inter-molecular adaptive collision scheme for Chemical Reaction Optimization. - James Jian Qiao Yu; Victor O. K. Li; Albert Y. S. Lam (IEEE Congress on Evolutionary Computation, 2014)

Parameter sensitivity analysis of Social Spider Algorithm. - James Jian Qiao Yu; Victor O. K. Li (CEC, 2015)

Adaptive Chemical Reaction Optimization for global numerical optimization. - James Jian Qiao Yu; Albert Y. S. Lam; Victor O. K. Li (CEC, 2015)

A social spider algorithm for global optimization. - James Jian Qiao Yu; Victor O. K. Li (Appl. Soft Comput., 2015)

Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load Control. - James Jian Qiao Yu; Junhao Lin; Albert Y. S. Lam; Victor O. K. Li (CoRR, 2015)

Joint relay and user selection for two-hop multi-relay multi-user MIMO systems. - Yijie Mao; Sobia Jangsher; James Jian Qiao Yu; Victor O. K. Li (ICCS, 2016)

Coordinated autonomous vehicle parking for vehicle-to-grid services. - Albert Y. S. Lam; James Jian Qiao Yu; Yunhe Hou; Victor O. K. Li (SmartGridComm, 2016)

Maximizing aggregator profit through energy trading by coordinated electric vehicle charging. - James Jian Qiao Yu; Junhao Lin; Albert Y. S. Lam; Victor O. K. Li (SmartGridComm, 2016)

Intelligent Time-Adaptive Transient Stability Assessment System. - James Jian Qiao Yu; David J. Hill 001; Albert Y. S. Lam; Jiatao Gu; Victor O. K. Li (CoRR, 2016)

A social spider algorithm for solving the non-convex economic load dispatch problem. - James Jian Qiao Yu; Victor O. K. Li (Neurocomputing, 2016)

Low-rank singular value thresholding for recovering missing air quality data. - Yangwen Yu; James Jian Qiao Yu; Victor O. K. Li; Jacqueline C. K. Lam (IEEE BigData, 2017)

Robust Routing for Vehicular Energy Network. - Albert Y. S. Lam; James Jian Qiao Yu (e-Energy, 2017)

Energy exchange coordination of off-grid charging stations with Vehicular Energy Network. - James Jian Qiao Yu; Albert Y. S. Lam; Siew-Chong Tan (SmartGridComm, 2017)

Delay Aware Intelligent Transient Stability Assessment System. - James Jian Qiao Yu; Albert Y. S. Lam; David J. Hill 001; Victor O. K. Li (IEEE Access, 2017)

A Unified Framework for Wide Area Measurement System Planning. - James Jian Qiao Yu; Albert Y. S. Lam; David J. Hill 001; Victor O. K. Li (CoRR, 2017)

Delay aware transient stability assessment with synchrophasor recovery and prediction framework. - James Jian Qiao Yu; David J. Hill 001; Albert Y. S. Lam (Neurocomputing, 2018)

Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks. - James Jian Qiao Yu; Yunhe Hou; Victor O. K. Li (IEEE Trans. Ind. Informatics, 2018)

Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy. - James Jian Qiao Yu; Albert Y. S. Lam (IEEE Trans. Intell. Transp. Syst., 2018)

Double Auction-Based Pricing Mechanism for Autonomous Vehicle Public Transportation System. - James Jian Qiao Yu; Albert Y. S. Lam; Zhiyi Lu (IEEE Trans. Intell. Veh., 2018)

Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm. - Albert Y. S. Lam; James Jian Qiao Yu; Yunhe Hou; Victor O. K. Li (IEEE Trans. Smart Grid, 2018)

PPGAN: Privacy-Preserving Generative Adversarial Network. - Yi Liu 057; Jialiang Peng; James Jian Qiao Yu; Yi Wu 021 (ICPADS, 2019)

Online Traffic Speed Estimation for Urban Road Networks with Few Data: A Transfer Learning Approach. - James J. Q. Yu (ITSC, 2019)

Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. - Chenhan Zhang; James Jian Qiao Yu; Yi Liu 057 (IEEE Access, 2019)

Synchrophasor Recovery and Prediction: A Graph-Based Deep Learning Approach. - James Jian Qiao Yu; David J. Hill 001; Victor O. K. Li; Yunhe Hou (IEEE Internet Things J., 2019)

Core-Selecting Auctions for Autonomous Vehicle Public Transportation System. - James Jian Qiao Yu; Albert Y. S. Lam (IEEE Syst. J., 2019)

Two-Stage Request Scheduling for Autonomous Vehicle Logistic System. - James Jian Qiao Yu (IEEE Trans. Intell. Transp. Syst., 2019)

Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder. - James Jian Qiao Yu; Jiatao Gu (IEEE Trans. Intell. Transp. Syst., 2019)

Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning. - James Jian Qiao Yu; Wen Yu 001; Jiatao Gu (IEEE Trans. Intell. Transp. Syst., 2019)

Intelligent Fault Detection Scheme for Microgrids With Wavelet-Based Deep Neural Networks. - James Jian Qiao Yu; Yunhe Hou; Albert Y. S. Lam; Victor O. K. Li (IEEE Trans. Smart Grid, 2019)

Delay Aware Power System Synchrophasor Recovery and Prediction Framework. - James Jian Qiao Yu; Albert Y. S. Lam; David J. Hill 001; Yunhe Hou; Victor O. K. Li (IEEE Trans. Smart Grid, 2019)

An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting. - Chenhan Zhang; Shuyu Zhang 003; James J. Q. Yu; Shui Yu 001 (GLOBECOM, 2020)

Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories. - Yuanshao Zhu; Shuyu Zhang 003; Yi Liu 057; Dusit Niyato; James J. Q. Yu (ICPADS, 2020)

FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning. - Yi Liu 057; Shuyu Zhang 003; Chenhan Zhang; James J. Q. Yu (ITSC, 2020)

Unsupervised Deep Learning for GPS-Based Transportation Mode Identification. - Christos Markos; James J. Q. Yu (ITSC, 2020)

MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data. - Xiaozhuang Song; Christos Markos; James J. Q. Yu (ITSC, 2020)

Reconstruction of Missing Trajectory Data: A Deep Learning Approach. - Ziwei Wang; Shiyao Zhang; James J. Q. Yu (ITSC, 2020)

A Novel Interpolation-SVT Approach for Recovering Missing Low-Rank Air Quality Data. - Yangwen Yu; James J. Q. Yu; Victor O. K. Li; Jacqueline C. K. Lam (IEEE Access, 2020)

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach. - Yi Liu 057; James J. Q. Yu; Jiawen Kang 001; Dusit Niyato; Shuyu Zhang 003 (IEEE Internet Things J., 2020)

Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. - Christos Markos; James J. Q. Yu; Richard Yi Da Xu (AAAI, 2021)

TINet: Multi-dimensional Traffic Data Imputation via Transformer Network. - Xiaozhuang Song; Yongchao Ye; James J. Q. Yu (ICANN (1), 2021)

Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network. - Yongchao Ye; Shiyao Zhang; James J. Q. Yu (ICANN (1), 2021)

Attn-CommNet: Coordinated Traffic Lights Control On Large-Scale Network Level. - Jiashi Gao; Xinming Shi; James J. Q. Yu (ICTAI, 2021)

Improving Transportation Mode Identification with Limited GPS Trajectories. - Yuanshao Zhu; Christos Markos; James J. Q. Yu (ICTAI, 2021)

A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification. - Ying Wu; James J. Q. Yu (IJCNN, 2021)

FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. - Yuanshao Zhu; Christos Markos; Ruihui Zhao; Yefeng Zheng 001; James J. Q. Yu (IJCNN, 2021)

Transfer Learning in Traffic Prediction with Graph Neural Networks. - Yunjie Huang; Xiaozhuang Song; Shiyao Zhang; James J. Q. Yu (ITSC, 2021)

Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network. - Xiaozhuang Song; Chenhan Zhang; James J. Q. Yu (ITSC, 2021)

Origin-Destination Matrix Prediction via Hexagon-based Generated Graph. - Yixuan Yang; Shiyao Zhang; Chenhan Zhang; James J. Q. Yu (ITSC, 2021)

Traffic Data Imputation with Ensemble Convolutional Autoencoder. - Yongchao Ye; Shuyu Zhang 003; James J. Q. Yu (ITSC, 2021)

Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems. - Xinming Shi; Jiashi Gao; Leandro L. Minku; James J. Q. Yu; Xin Yao 001 (SSCI, 2021)

Citywide traffic speed prediction: A geometric deep learning approach. - James J. Q. Yu (Knowl. Based Syst., 2021)

Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel. - Chenhan Zhang; Qingpeng Zhang; Shui Yu 001; James J. Q. Yu; Xiaozhuang Song (IEEE Trans. Comput. Soc. Syst., 2021)

FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting. - Chenhan Zhang; Shuyu Zhang 003; James J. Q. Yu; Shui Yu 001 (IEEE Trans. Ind. Informatics, 2021)

Travel Mode Identification With GPS Trajectories Using Wavelet Transform and Deep Learning. - James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2021)

Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach. - James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2021)

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. - Xiaozhuang Song; Shun Zheng 001; Wei Cao 007; James J. Q. Yu; Jiang Bian 002 (NeurIPS, 2022)

Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. - Chenhan Zhang; Shiyao Zhang; Shui Yu 001; James J. Q. Yu (WCNC, 2022)

Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder. - Jiashi Gao; Xinming Shi; James J. Q. Yu (CoRR, 2022)

A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting. - Chenhan Zhang; Lei Cui 006; Shui Yu 001; James J. Q. Yu (IEEE Internet Things J., 2022)

Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling. - Shiyao Zhang; James J. Q. Yu (IEEE Internet Things J., 2022)

Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. - Chenhan Zhang; Yuanshao Zhu; Christos Markos; Shui Yu 001; James J. Q. Yu (IEEE Internet Things J., 2022)

Long-Term Origin-Destination Demand Prediction With Graph Deep Learning. - Xiexin Zou; Shiyao Zhang; Chenhan Zhang; James J. Q. Yu; Edward Chung 001 (IEEE Trans. Big Data, 2022)

CatETA: A Categorical Approximate Approach for Estimating Time of Arrival. - Yongchao Ye; Yuanshao Zhu; Christos Markos; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Graph Construction for Traffic Prediction: A Data-Driven Approach. - James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs. - James J. Q. Yu; Christos Markos; Shiyao Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication. - Shiyao Zhang; Shuai Wang 004; Shuai Yu 001; James J. Q. Yu; Miaowen Wen (IEEE Trans. Intell. Transp. Syst., 2022)

Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy. - Shiyao Zhang; Christos Markos; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. - Yuanshao Zhu; Yi Liu 057; James J. Q. Yu; Xingliang Yuan (IEEE Trans. Intell. Transp. Syst., 2022)

Cross-Area Travel Time Uncertainty Estimation From Trajectory Data: A Federated Learning Approach. - Yuanshao Zhu; Yongchao Ye; Yi Liu 057; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Resource-Constrained Federated Edge Learning With Heterogeneous Data: Formulation and Analysis. - Yi Liu 057; Yuanshao Zhu; James J. Q. Yu (IEEE Trans. Netw. Sci. Eng., 2022)

Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. - Chenhan Zhang; Weiqi Wang 004; James J. Q. Yu; Shui Yu 001 (AsiaCCS, 2023)

Construct New Graphs Using Information Bottleneck Against Property Inference Attacks. - Chenhan Zhang; Zhiyi Tian; James J. Q. Yu; Shui Yu 001 (ICC, 2023)

Uncertainty Quantification for Traffic Forecasting: A Unified Approach. - Weizhu Qian; Dalin Zhang 001; Yan Zhao 008; Kai Zheng 001; James J. Q. Yu (ICDE, 2023)

Data-Driven Methods for Travel Time Estimation: A Survey. - Zhipeng Zheng; Yongchao Ye; Yuanshao Zhu; Shiyao Zhang; James J. Q. Yu (ITSC, 2023)

SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis. - Yuanshao Zhu; Yongchao Ye; Ying Wu; Xiangyu Zhao 001; James Jian Qiao Yu (NeurIPS, 2023)

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder. - Yuchen Jiang; Ying Wu; Shiyao Zhang; James J. Q. Yu (VTC Fall, 2023)

Deep learning for video object segmentation: a review. - Mingqi Gao 003; Feng Zheng; James J. Q. Yu; Caifeng Shan; Guiguang Ding; Jungong Han (Artif. Intell. Rev., 2023)

Diffusion Model for GPS Trajectory Generation. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; James J. Q. Yu (CoRR, 2023)

Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting. - Adnan Zeb; Yongchao Ye; Shiyao Zhang; James J. Q. Yu (CoRR, 2023)

Enhancing Traffic Prediction with Learnable Filter Module. - Yuanshao Zhu; Yongchao Ye; Xiangyu Zhao 001; James J. Q. Yu (CoRR, 2023)

Video Object Segmentation using Point-based Memory Network. - Mingqi Gao 003; Jungong Han; Feng Zheng; James J. Q. Yu; Giovanni Montana (Pattern Recognit., 2023)

Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. - Chenhan Zhang; Shuyu Zhang 003; Xiexin Zou; Shui Yu 001; James J. Q. Yu (IEEE Internet Things J., 2023)

Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning. - James J. Q. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Traffic Prediction With Missing Data: A Multi-Task Learning Approach. - Ao Wang; Yongchao Ye; Xiaozhuang Song; Shiyao Zhang; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2023)

Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms. - Shiyao Zhang; Xingzheng Zhu; Shuai Wang 004; James J. Q. Yu; Derrick Wing Kwan Ng (IEEE Internet Things J., 2023)

Traffic Prediction With Transfer Learning: A Mutual Information-Based Approach. - Yunjie Huang; Xiaozhuang Song; Yuanshao Zhu; Shiyao Zhang; James J. Q. Yu (IEEE Trans. Intell. Transp. Syst., 2023)

SAM: Query-efficient Adversarial Attacks against Graph Neural Networks. - Chenhan Zhang; Shiyao Zhang; James J. Q. Yu; Shui Yu 001 (ACM Trans. Priv. Secur., 2023)

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. - Yuanshao Zhu; James Jian Qiao Yu; Xiangyu Zhao 001; Qidong Liu 002; Yongchao Ye; Wei Chen 070; Zijian Zhang 009; Xuetao Wei; Yuxuan Liang (KDD, 2024)

LLplace: The 3D Indoor Scene Layout Generation and Editing via Large Language Model. - Yixuan Yang; Junru Lu; Zixiang Zhao; Zhen Luo; James J. Q. Yu; Victor Sanchez; Feng Zheng (CoRR, 2024)

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces. - Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao 001; Xuetao Wei; Yuxuan Liang (CoRR, 2024)

A generalized feature projection scheme for multi-step traffic forecasting. - Adnan Zeb; Shiyao Zhang; Xuetao Wei; James Jian Qiao Yu (Expert Syst. Appl., 2024)

CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs. - Adnan Zeb; Summaya Saif; Junde Chen; James Jianqiao Yu; Qingshan Jiang; Defu Zhang (Inf. Sci., 2024)

Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm. - Shengyu Zhang; Shiyao Zhang; Lawrence K. Yeung; James J. Q. Yu (IEEE Trans. Veh. Technol., 2024)

Generative Adversarial Networks: A Survey on Attack and Defense Perspective. - Chenhan Zhang; Shui Yu 001; Zhiyi Tian; James J. Q. Yu (ACM Comput. Surv., 2024)

Adaptive Modeling of Uncertainties for Traffic Forecasting. - Ying Wu; Yongchao Ye; Adnan Zeb; James Jian Qiao Yu; Zheng Wang 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting. - Weizhu Qian; Thomas Dyhre Nielsen; Yan Zhao 008; Kim Guldstrand Larsen; James Jianqiao Yu (IEEE Trans. Intell. Transp. Syst., 2024)

GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation. - Yunjie Huang; Xiaozhuang Song; Shiyao Zhang; Lei Li 003; James Jian Qiao Yu (IEEE Internet Things J., 2024)

Scalable and Sustainable Graph-Based Traffic Prediction With Adaptive Deep Learning. - James Jianqiao Yu (IEEE Trans. Knowl. Data Eng., 2024)

ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs. - Yan Yang; Yixia Li; Hongru Wang 003; Xuetao Wei; James Jianqiao Yu; Yun Chen 007; Guanhua Chen 001 (ACL (1), 2025)

Can Self Supervision Rejuvenate Similarity-Based Link Prediction? - Chenhan Zhang; Weiqi Wang 003; Zhiyi Tian; James Jianqiao Yu; Dali Kaafar; An Liu 002; Shui Yu 001 (PAKDD (7), 2025)

Traffic forecasting with meta attentive graph convolutional recurrent network. - Adnan Zeb; Jianying Zheng; Yongchao Ye; Junde Chen; Shiyao Zhang; Xuetao Wei; James Jianqiao Yu (Expert Syst. Appl., 2025)

Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder. - Yongchao Ye; Ao Wang; Adnan Zeb; Shiyao Zhang; James Jianqiao Yu (IEEE Trans. Intell. Transp. Syst., 2025)

CLEAR: Spatial-Temporal Traffic Data Representation Learning for Traffic Prediction. - James Jianqiao Yu; Xinwei Fang; Shiyao Zhang; Yuxin Ma (IEEE Trans. Knowl. Data Eng., 2025)

Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. - Yuanshao Zhu; James Jianqiao Yu; Xiangyu Zhao 001; Xiao Han 004; Qidong Liu 002; Xuetao Wei; Yuxuan Liang (CoRR, 2025)

CRATE: Privacy-Preserving Travel Time Estimation. - James Jianqiao Yu (IEEE Trans. Knowl. Data Eng., 2025)