James Jianqiao Yu
余剑峤
Home Publications Services 中文

Professor

School of Computer Science and Technology

Harbin Institute of Technology, Shenzhen

University Town of Shenzhen, Nanshan District, Shenzhen, Guangdong, China

jqyu(at)hit.edu.cn jqyu(at)ieee.org Google Scholar
Publications Peer-reviewed Articles CLEAR: Spatial-temporal Traffic Data Representation Learning for Traffic Prediction 📄 📚
James Jianqiao Yu, Xinwei Fang, Shiyao Zhang*, and Yuxin Ma*
IEEE Transactions on Knowledge and Data Engineering, in press, 2025 Map-Informed Trajectory Recovery with Adaptive Spatio-Temporal Autoencoder 📄 📚
Yongchao Ye, Ao Wang, Adnan Zeb, Shiyao Zhang, and James Jianqiao Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 16, Issue 1, January 2025, Pages 102---115 Scalable and Sustainable Graph-based Traffic Prediction with Adaptive Deep Learning 📄 📚
James Jianqiao Yu
IEEE Transactions on Knowledge and Data Engineering, Volume 36, Issue 11, 2024, Pages 6949--6961 GT-TTE: Modeling Trajectories as Graphs for Travel Time Estimation 📄 📚
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, Lei Li, and James Jianqiao Yu*
IEEE Internet of Things Journal, Volume 11, Issue 19, October 2024, Pages 30965--30977 Non-Cooperative Coupled Microgrid-Transportation Coordination System: A Deep Deterministic Policy Gradient-Based Approach 📄 📚
Shiyao Zhang, Xingzheng Zhu, Shengyu Zhang, and James J.Q. Yu*
International Journal of Electrical Power & Energy Systems, Volume 160, September 2024, Article 110092 Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting 📄 📚
Weizhu Qian, Thomas Dyhre Nielsen, Yan Zhao, Kim Guldstrand Larsen, and James Jianqiao Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 25, Issue 8, August 2024, Pages 8578---8590 ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model 📄 📚
Yuanshao Zhu, James Jianqiao Yu*, Xiangyu Zhao*, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, and Yuxuan Liang*
Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 2024, Pages 4676--4687 ST-AGNet: Dynamic Power System State Prediction with Spatial-Temporal Attention Graph-Based Network 📄 📚
Shiyao Zhang, Shuyu Zhang*, James J.Q. Yu, Xuetao Wei
Applied Energy, Volume 365, July 2024, Article 123252 A generalized feature projection scheme for multi-step traffic forecasting 📄 📚
Adnan Zeb, Shiyao Zhang, Xuetao Wei, and James J.Q. Yu*
Expert Systems with Applications, Volume 224, June 2024, Article 122962 Adaptive Modeling of Uncertainties for Traffic Forecasting 📄 📚
Ying Wu, Yongchao Ye, Adnan Zeb, James Jianqiao Yu*, and Zheng Wang*
IEEE Transactions on Intelligent Transportation Systems, Volume 25, Issue 5, May 2024, Pages 4427--4442 Online Joint Ride-Sharing and Dynamic Vehicle-to-Grid Coordination for Connected Electric Vehicle System 📄 📚
Shiyao Zhang and James J.Q. Yu*
IEEE Transactions on Transportation Electrification, Volume 10, Issue 1, March 2024, Pages 1194--1206 CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs 📄 📚
Adnan Zeb, Summaya Saif, Junde Chen, James Jianqiao Yu, Qingshan Jiang, and Defu Zhang
Information Sciences, Volume 662, March 2024, Article 120197 Urban Internet of Electric Vehicle Parking System for Vehicle-to-Grid Scheduling: Formulation and Distributed Algorithm 📄 📚
Shengyu Zhang, Shiyao Zhang, Lawrence K. Yeung, and James J.Q. Yu
IEEE Transactions on Vehicular Technology, Volume 73, Issue 1, January 2024, Pages 67--79 DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model 📄 📚
Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao*, and James J.Q. Yu*
Proc. Annual Conference on Neural Information Processing Systems, New Orleans, LA, US, December 2023 SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis 📄 📚
Yuanshao Zhu‘, Yongchao Ye‘, Ying Wu, Xiangyu Zhao*, and James J.Q. Yu*
Proc. Annual Conference on Neural Information Processing Systems, New Orleans, LA, US, December 2023 Generative Adversarial Networks: A Survey on Attack and Defense Perspective 📄 📚
Chenhan Zhang, Shui Yu*, Zhiyi Tian, and James J.Q. Yu
ACM Computing Surveys, Volume 54, Issue 4, November 2023, Article 91 SAM: Query-Efficient Adversarial Attacks Against Graph Neural Networks 📄 📚
Chenhan Zhang, Shiyao Zhang, James J.Q. Yu, and Shui Yu
ACM Transactions on Privacy and Security, Volume 26, Issue 4, November 2023, Article 49 FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder 📄 📚
Yuchen Jiang, Ying Wu, Shiyao Zhang*, and James J.Q. Yu*
Proc. IEEE Vehicular Technology Conference: VTC2023-Fall, Hong Kong, October 2023 Data-driven Methods for Travel Time Estimation: A Survey 📄 📚
Zhipeng Zheng, Yongchao Ye, Yuanshao Zhu, Shiyao Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Bilbao, Spain, September 2023, Pages 1292--1299 Noncooperative and Cooperative Urban Intelligent Systems: Joint Logistic and Charging Incentive Mechanisms 📄 📚
Shiyao Zhang, Xingzheng Zhu, Shuai Wang, James J.Q. Yu*, and Derrick Wing Kwan Ng
IEEE Internet of Things Journal, Volume 35, Issue 13, July 2023, Pages 11558--11575 Traffic Prediction with Transfer Learning: A Mutual Information-based Approach 📄 📚
Yunjie Huang, Xiaozhuang Song, Yuanshao Zhu, Shiyao Zhang, and James J.Q. Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 8, August 2023, Pages 8236--8252 Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck 📄 📚
Chenhan Zhang, Weiqi Wang, James J.Q. Yu, and Shui Yu*
Proc. ACM ASIA Conference on Computer and Communications Security, Melbourne, Australia, July 2023 Construct New Graphs using Information Bottleneck Against Property Inference Attacks 📄 📚
Chenhan Zhang, Zhiyi Tian, James J.Q. Yu, and Shui Yu*
Proc. IEEE International Conference on Communications, Rome, Italy, May 2023 Traffic Prediction with Missing Data: A Multi-task Learning Approach 📄 📚
Ao Wang, Yongchao Ye, Xiaozhuang Song, Shiyao Zhang, and James J.Q. Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 4, April 2023, Pages 4189--4202 Uncertainty Quantification for Traffic Forecasting: A Unified Approach 📄 📚
Weizhu Qian, Dalin Zhang, Yan Zhao*, Kai Zheng, and James J.Q. Yu
Proc. IEEE International Conference on Data Engineering, Anaheim, CA, US, April 2023 Towards Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach 📄 📚
Chenhan Zhang, Shuyu Zhang, Xiexin Zou, Shui Yu, and James J.Q. Yu*
IEEE Internet of Things Journal, Volume 10, Issue 5, March 2023, Pages 4506--4519 Citywide Estimation of Travel Time Distributions with Bayesian Deep Graph Learning 📄 📚
James J.Q. Yu
IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 3, March 2023, Pages 2366--2378 Video Object Segmentation using Point-based Memory Network 📄 📚
Mingqi Gao, Jungong Han*, Feng Zheng, James J.Q. Yu, and Giovanni Montana
Pattern Recognition, Volume 134, February 2023, Article 109073 Deep Learning for Video Object Segmentation: A Review 📄 📚
Mingqi Gao, Feng Zheng, James J.Q. Yu*, Caifeng Shan, Guiguang Ding, and Jungong Han*
Artificial Intelligence Review, Volume 56, January 2023, Pages 457--531 Long-term Origin-Destination Demand Prediction with Graph Deep Learning 📄 📚
Xiexin Zou, Shiyao Zhang, Chenhan Zhang, James J.Q. Yu*, and Edward Chung
IEEE Transactions on Big Data, Volume 8, Issue 6, Dec. 2022, Pages 1481-1495, Volume 8, Issue 6, December 2022, Pages 1481--1495 CatETA: A Categorical Approximate Approach for Estimating Time of Arrival 📄 📚
Yongchao Ye‘, Yuanshao Zhu‘, Christos Markos, and James J.Q. Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 12, December 2022, Pages 24389--24400 Cross-Area Travel Time Uncertainty Estimation from Trajectory Data: A Federated Learning Approach 📄 📚
Yuanshao Zhu‘, Yongchao Ye‘, Yi Liu, and James J.Q. Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 12, December 2022, Pages 24966--24978 Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations 📄 📚
Xiaozhuang Song, Shun Zheng, Wei Cao, James J.Q. Yu*, Jiang Bian*
Proc. Annual Conference on Neural Information Processing Systems, New Orleans, LA, US, November 2022 Autonomous Vehicle Intelligent System: Joint Ride-Sharing and Parcel Delivery Strategy 📄 📚
Shiyao Zhang, Christos Markos, and James J.Q. Yu*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 10, October 2022, Pages 18466--18477 Attention-Driven Recurrent Imputation for Traffic Speed 📄 📚
Shuyu Zhang, Chenhan Zhang, Shiyao Zhang, and James J.Q. Yu*
IEEE Open Journal of Intelligent Transportation Systems, Volume 3, October 2022, Pages 723--737 Bayesian Deep Learning for Dynamic Power System State Prediction Considering Renewable Energy Uncertainty 📄 📚
Shiyao Zhang and James J.Q. Yu*
Journal of Modern Power Systems and Clean Energy, Volume 10, Issue 4, July 2022, Pages 913--922 Graph Construction for Traffic Prediction: A Data-driven Approach 📄 📚
James J.Q. Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 9, September 2022, Pages 15015--15027 Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis 📄 📚
Yi Liu’, Yuanshao Zhu’, and James J.Q. Yu*
IEEE Transactions on Network Science and Engineering, Volume 9, Issue 5, September 2022, Pages 3166--3178 Collision Avoidance Predictive Motion Planning Based on Integrated Perception and V2V Communication 📄 📚
Shiyao Zhang, Shuai Wang*, Shuai Yu, James J.Q. Yu*, and Miaowen Wen
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 7, July 2022, Pages 9640--9653 Long-Term Urban Traffic Speed Prediction With Deep Learning on Graphs 📄 📚
James J.Q. Yu, Christos Markos, and Shiyao Zhang*
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 7, July 2022, Pages 7359--7370 A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting 📄 📚
Chenhan Zhang, Lei Cui, Shui Yu, and James J.Q. Yu*
IEEE Internet of Things Journal, Volume 9, Issue 14, July 2022, Pages 11918--11931 Towards Crowdsourced Transportation Mode Identification: A Semi-supervised Federated Learning Approach 📄 📚
Chenhan Zhang, Yuanshao Zhu, Christos Markos, Shui Yu, and James J.Q. Yu*
IEEE Internet of Things Journal, Volume 9, Issue 14, July 2022, Pages 11868--11882 Electric Vehicle Dynamic Wireless Charging System: Optimal Placement and Vehicle-to-Grid Scheduling 📄 📚
Shiyao Zhang and James J.Q. Yu*
IEEE Internet of Things Journal, Volume 9, Issue 8, April 2022, Pages 6047--6057 Graph-based Traffic Forecasting via Communication-efficient Federated Learning 📄 📚
Chenhan Zhang, Shiyao Zhang, Shui Yu, and James J.Q. Yu*
Proc. IEEE Wireless Communications and Networking Conference, Austin, TX, US, April 2022 Semi-supervised Federated Learning for Travel Mode Identification from GPS Trajectories 📄 📚
Yuanshao Zhu, Yi Liu, James J.Q. Yu*, and Xingliang Yuan
IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 3, March 2022, Pages 2380--2391 FASTGNN: A Topological Information Protected Federated Learning Approach For Traffic Speed Forecasting 📄 📚
Chenhan Zhang, Shuyu Zhang, James J.Q. Yu*, and Shui Yu
IEEE Transactions on Industrial Informatics, Volume 17, Issue 12, December 2021, Pages 8464--8474 Second-order Time Delay Reservoir Computing for Nonlinear Time Series Problems 📄 📚
Xinming Shi, Jiashi Gao, Leandro L. Minku, James J.Q. Yu, and Xin Yao*
Proc. IEEE Symposium Series on Computational Intelligence, Orlando, FL, US, December 2021 Attn-CommNet: Coordinated Traffic Lights Control on Large-scale Network Level 📄 📚
Jiashi Gao, Xinming Shi, and James J.Q. Yu*
Proc. IEEE International Conference on Tools with Artificial Intelligence, Washington, D.C., US, November 2021 Improving Transportation Mode Identification with Limited GPS Trajectories 📄 📚
Yuanshao Zhu, Christos Markos, and James J.Q. Yu*
Proc. IEEE International Conference on Tools with Artificial Intelligence, Washington, D.C., US, Nov. 2021, Washington, D.C., US, November 2021 TINet: Multi-dimensional Traffic Data Imputation via Transformer Network 📄 📚
Xiaozhuang Song, Yongchao Ye, and James J.Q. Yu*
Proc. International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 2021 Spatial-Temporal Traffic Data Imputation via Graph Attention Convolutional Network 📄 📚
Yongchao Ye, Shiyao Zhang, and James J.Q. Yu*
Proc. International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 2021 Traffic Data Imputation with Ensemble Convolutional Autoencoder 📄 📚
Yongchao Ye, Shuyu Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Indianapolis, IN, US, September 2021 Learn Travel Time Distribution with Graph Deep Learning and Generative Adversarial Network 📄 📚
Xiaozhuang Song, Chenhan Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Indianapolis, IN, US, September 2021 Origin-Destination Matrix Prediction via Hexagon-based Generated Graph 📄 📚
Yixuan Yang, Shiyao Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Indianapolis, IN, US, September 2021 Transfer Learning in Traffic Prediction with Graph Neural Networks 📄 📚
Yunjie Huang, Xiaozhuang Song, Shiyao Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Indianapolis, IN, US, September 2021 Sybil Attack Identification for Crowdsourced Navigation: A Self-supervised Deep Learning Approach 📄 📚
James J.Q. Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 22, Issue 7, July 2021, Pages 4622--4634 FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data 📄 📚
Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, and James J.Q. Yu*
Proc. International Joint Conference on Neural Networks, Shenzhen, China, July 2021 A Bayesian Learning Network for Traffic Speed Forecasting with Uncertainty Quantification 📄 📚
Ying Wu and James J.Q. Yu*
Proc. International Joint Conference on Neural Networks, Shenzhen, China, July 2021 Complicating the Social Networks for Better Storytelling: An Empirical Study of Chinese Historical Text and Novel 📄 📚
Chenhan Zhang, Qingpeng Zhang, Shui Yu, James J.Q. Yu*, and Xiaozhuang Song
IEEE Transactions on Computational Social Systems, Volume 8, Issue 3, June 2021, Pages 754--767 Travel Mode Identification with GPS Trajectories using Wavelet Transform and Deep Learning 📄 📚
James J.Q. Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 22, Issue 2, February 2021, Pages 1093--1103 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning 📄 📚
Christos Markos, James J.Q. Yu*, and Richard Y.D. Xu
Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2021 Citywide Traffic Speed Prediction: A Geometric Deep Learning Approach 📄 📚
James J.Q. Yu
Knowledge-Based Systems, Volume 212, January 2021, Article 106592 Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories 📄 📚
Yuanshao Zhu, Shuyu Zhang, Yi Liu, Dusit Niyato, and James J.Q. Yu*
Proc. IEEE International Conference on Parallel and Distributed Systems, Hong Kong, December 2020 An Enhanced Motif Graph Clustering-Based Deep Learning Approach for Traffic Forecasting 📄 📚
Chenhan Zhang, Shuyu Zhang, James J.Q. Yu*, and Shui Yu
Proc. IEEE Global Communications Conference, Taipei, December 2020 Unsupervised Deep Learning for GPS-Based Transportation Mode Identification 📄 📚
Christos Markos and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Rhodes, Greece, September 2020 Reconstruction of Missing Trajectory Data: A Deep Learning Approach 📄 📚
Ziwei Wang, Shiyao Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Rhodes, Greece, September 2020 FedGRU: Privacy-preserving Traffic Flow Prediction via Federated Learning 📄 📚
Yi Liu, Shuyu Zhang, Chenhan Zhang, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Rhodes, Greece, September 2020 MultiMix: A Multi-Task Deep Learning Approach for Travel Mode Identification with Few GPS Data 📄 📚
Xiaozhuang Song, Christos Markos, and James J.Q. Yu*
Proc. IEEE Intelligent Transportation Systems Conference, Rhodes, Greece, September 2020 Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach 📄 📚
Yi Liu, James J.Q. Yu*, Jiawen Kang, Dusit Niyato, and Shuyu Zhang
IEEE Internet of Things Journal, Volume 7, Issue 8, August 2020, Pages 7751--7763 Semi-supervised Deep Ensemble Learning for Travel Mode Identification 📄 📚
James J.Q. Yu
Transportation Research Part C: Emerging Technologies, Volume 112, March 2020, Pages 120--135 PPGAN: Privacy-Preserving Generative Adversarial Network 📄 📚
Yi Liu, Jialiang Peng, James J.Q. Yu, and Yi Wu
Proc. IEEE International Conference on Parallel and Distributed Systems, Tianjin, China, December 2019 Synchrophasor Recovery and Prediction: A Graph-based Deep Learning Approach 📄 📚
James J.Q. Yu, David J. Hill, Victor O.K. Li, and Yunhe Hou
IEEE Internet of Things Journal, Volume 6, Issue 5, October 2019, Pages 7348--7359 Real-Time Traffic Speed Estimation with Graph Convolutional Generative Autoencoder 📄 📚
James J.Q. Yu and Jiatao Gu
IEEE Transactions on Intelligent Transportation Systems, Volume 20, Issue 10, October 2019, Pages 3940--3951 Online Vehicle Routing with Neural Combinatorial Optimization and Deep Reinforcement Learning 📄 📚
James J.Q. Yu, Wen Yu, and Jiatao Gu
IEEE Transactions on Intelligent Transportation Systems, Volume 20, Issue 10, October 2019, Pages 3806--3817 Multi-objective Design Optimization of Combined Cooling, Heating and Power System for Cruise Ship Application 📄 📚
Yamin Yan, Haoran Zhang*, Yin Long, Yufei Wang, Yongtu Liang, Xuan Song, and James J.Q. Yu
Journal of Cleaner Production, Volume 233, October 2019, Pages 264--279 Online Traffic Speed Estimation for Urban Road Networks with Few Data: A Transfer Learning Approach 📄 📚
James J.Q. Yu
Proc. IEEE Intelligent Transportation Systems Conference, Auckland, New Zealand, October 2019 Delay Aware Power System Synchrophasor Recovery and Prediction Framework 📄 📚
James J.Q. Yu, Albert Y.S. Lam, David J. Hill, Yunhe Hou, and Victor O.K. Li
IEEE Transactions on Smart Grid, Volume 10, Issue 4, July 2019, Pages 3732--3742 Two-Stage Request Scheduling for Autonomous Vehicle Logistic System 📄 📚
James J.Q. Yu
IEEE Transactions on Intelligent Transportation Systems, Volume 20, Issue 5, May 2019, Pages 1917--1929 Intelligent Fault Detection Scheme for Microgrids with Wavelet-based Deep Neural Networks 📄 📚
James J.Q. Yu, Yunhe Hou, Albert Y.S. Lam, and Victor O.K. Li
IEEE Transactions on Smart Grid, Volume 10, Issue 2, March 2019, Pages 1694--1703 Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm 📄 📚
Albert Y.S. Lam, James J.Q. Yu, Yunhe Hou, and Victor O.K. Li
IEEE Transactions on Smart Grid, Volume 9, Issue 5, September 2018, Pages 4356--4366 Online False Data Injection Attack Detection with Wavelet Transform and Deep Neural Networks 📄 📚
James J.Q. Yu, Yunhe Hou, and Victor O.K. Li
IEEE Transactions on Industrial Informatics, Volume 14, Issue 7, July 2018, Pages 3271--3280 Autonomous Vehicle Logistic System: Joint Routing and Charging Strategy 📄 📚
James J.Q. Yu and Albert Y.S. Lam*
IEEE Transactions on Intelligent Transportation Systems, Volume 19, Issue 7, July 2018, Pages 2175--2187 Double Auction-based Pricing Mechanism for Autonomous Vehicle Public Transportation System 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Zhiyi Lu
IEEE Transactions on Intelligent Vehicles, Volume 3, Issue 2, June 2018, Pages 151--162 Intelligent Time-Adaptive Transient Stability Assessment System 📄 📚
James J.Q. Yu, David J. Hill, Albert Y.S. Lam, Jiatao Gu, and Victor O.K. Li
IEEE Transactions on Power Systems, Volume 33, Issue 1, January 2018, Pages 1049--1058 A Unified Framework for Wide Area Measurement System Planning 📄 📚
James J.Q. Yu, Albert Y.S. Lam, David J. Hill, and Victor O.K. Li
International Journal of Electrical Power and Energy Systems, Volume 96, March 2018, Pages 43--51 Low-rank Singular Value Thresholding for Recovering Missing Air Quality Data 📄 📚
Yangwen Yu, James J.Q. Yu*, Victor O.K. Li, and Jacqueline C.K. Lam
Proc. IEEE International Conference on Big Data, Boston, MA, US, December 2017 Energy Exchange Coordination of Off-Grid Charging Stations with Vehicular Energy Network 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Siew-Chong Tan
Proc. IEEE International Conference on Smart Grid Communications, Dresden, Germany, October 2017 Robust Routing for Vehicular Energy Network Routing 📄 📚
Albert Y.S. Lam and James J.Q. Yu
Proc. ACM International Conference on Future Energy Systems, Hong Kong, May 2017 Maximizing Aggregator Profit through Energy Trading by Coordinated Electric Vehicle Charging 📄 📚
James J.Q. Yu, Junhao Lin, Albert Y.S. Lam, and Victor O.K. Li
Proc. IEEE International Conference on Smart Grid Communications, Sydney, Australia, November 2016 Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services 📄 📚
Albert Y.S. Lam, James J.Q. Yu, Yunhe Hou, and Victor O.K. Li
Proc. IEEE International Conference on Smart Grid Communications, Sydney, Australia, November 2016 Joint Relay and User Selection for Two-hop Multi-relay Multi-user MIMO Systems 📄 📚
Yijie Mao, Sobia Jangsher, James J.Q. Yu, and Victor O.K. Li
Proc. IEEE International Conference on Communication Systems, Shenzhen, China, December 2016 A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem 📄 📚
James J.Q. Yu and Victor O.K. Li
Neurocomputing, Volume 171, January 2016, Pages 955--965 A Social Spider Algorithm for Global Optimization 📄 📚
James J.Q. Yu and Victor O.K. Li
Applied Soft Computing, Volume 30, May 2015, Pages 614--627 Parameter Sensitivity Analysis of Social Spider Algorithm 📄 📚
James J.Q. Yu and Victor O.K. Li
Proc. IEEE Congress on Evolutionary Computation, Sendai, Japan, May 2015 Adaptive Chemical Reaction Optimization for Global Numerical Optimization 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Victor O.K. Li
Proc. IEEE Congress on Evolutionary Computation, Sendai, Japan, May 2015 Base Station Switching Problem for Green Cellular Networks with Social Spider Algorithm 📄 📚
James J.Q. Yu and Victor O.K. Li
Proc. IEEE World Congress on Computational Intelligence, Beijing, China, July 2014 Chemical Reaction Optimization for the Set Covering Problem 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Victor O.K. Li
Proc. IEEE World Congress on Computational Intelligence, Beijing, China, July 2014 An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization 📄 📚
James J.Q. Yu, Victor O.K. Li, and Albert Y.S. Lam
Proc. IEEE World Congress on Computational Intelligence, Beijing, China, July 2014 Power-Controlled Cognitive Radio Spectrum Allocation with Chemical Reaction Optimization 📄 📚
Albert Y.S. Lam, Victor O.K. Li, and James J.Q. Yu
IEEE Transactions on Wireless Communications, Volume 12, Issue 7, July 2013, Pages 3180--3190 Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization 📄 📚
James J.Q. Yu, Victor O.K. Li, and Albert Y.S. Lam
Proc. IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 2013 Real-Coded Chemical Reaction Optimization 📄 📚
Albert Y.S. Lam, Victor O.K. Li, and James J.Q. Yu
IEEE Transactions on Evolutionary Computation, Volume 16, Issue 3, June 2012, Pages 339--353 Sensor Deployment for Air Pollution Monitoring Using Public Transportation System 📄 📚
James J.Q. Yu, Victor O.K. Li, and Albert Y.S. Lam
Proc. IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012 Real-Coded Chemical Reaction Optimization with Different Perturbation Functions 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Victor O.K. Li
Proc. IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012 Chemical Reaction Optimization for the Optimal Power Flow Problem 📄 📚
Yi Sun, Albert Y.S. Lam, Victor O.K. Li, Jin Xu, and James J.Q. Yu
Proc. IEEE World Congress on Computational Intelligence, Brisbane, Australia, June 2012 Evolutionary Artificial Neural Network Based on Chemical Reaction Optimization 📄 📚
James J.Q. Yu, Albert Y.S. Lam, and Victor O.K. Li
Proc. IEEE Congress on Evolutionary Computation, New Orleans, LA, US, June 2011 Patents Energy Systems for Electric and Hybrid Vehicles, IET 2016
Chapter: Optimal scheduling with vehicle-to-grid ancillary services
Junhao Lin, James J.Q. Yu, Ka-Cheong Leung, and Victor O.K. Li Book Chapters Energy Systems for Electric and Hybrid Vehicles, IET 2016
Chapter: Optimal scheduling with vehicle-to-grid ancillary services
Junhao Lin, James J.Q. Yu, Ka-Cheong Leung, and Victor O.K. Li