James Jianqiao Yu
余剑峤
Home Publications Services

Lecturer

Department of Computer Science

University of York

CSE/139, YO10 5GH, UK

jqyu(at)ieee.org CV Google Scholar
Publications Journal Publications Scalable and Sustainable Graph-based Traffic Prediction with Adaptive Deep Learning
James Jianqiao Yu
IEEE Transactions on Knowledge and Data Engineering, in press, 2024 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, in press, 2024 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 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 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, in press, 2024 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 Citywide Traffic Speed Prediction: A Geometric Deep Learning Approach
James J.Q. Yu
Knowledge-Based Systems, Volume 212, January 2021, Article 106592 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 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 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 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 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 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 Conference Publications 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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