Publications

[9] Luyang Hou*, Jun Yan, Chun Wang and Leijiao Ge, “A Simultaneous Multi-Round Auction Design for Scheduling Multiple Charges of Battery Electric Vehicles on Highways”, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 8024 - 8036, 2021.5. DOI: 10.1109/TITS.2021.3075202. (Top, IF: 9.551)

[8] Luyang Hou*, Chun Wang and Jun Yan, “Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling”, IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3332-3343, Aug. 2020. (Top, IF: 9.551)

[7] Luyang Hou, Julián Alberto Fernández-Orjuela, Omar E. Herrera, Walter Mérida, “Electrifying a Car Sharing Fleet Using Public Charging Infrastructure”, Green Energy and Intelligent Transportation, 2023.2. (Accepted)

[6] Luyang Hou*, Leijiao Ge, Biao Wang, “Research on the integrated energy system and the electricity market towards new prosumers”, Integrated Intelligent Energy (综合智慧能源), 2022.6 (Accepted)

[5] Luyang Hou, Jane Dong, Omar E. Herrera, Walter Mérida, “Two-Stage Energy Management for Hydrogen-Electric Microgrids with Vehicle-to-Grid and Power-to-Gas”, International Journal of Hydrogen Energy, 2022.9. (Top, IF: 7.139) Accepted.

[4] Luyang Hou*, Yuanliang Li, Jun Yan, Chun Wang, Li Wang, and Biao Wang, “Multi-Agent Reinforcement Mechanism Design for Dynamic Pricing-Based Demand Response in Charging Network”, International Journal of Electrical Power & Energy Systems, 2022.7 (IF: 5.659) Accepted.

[3] Luyang Hou*, Jun Yan and Chun Wang, “An Incentive-Compatible Combinatorial Auction Design for Charging Network Scheduling of Battery Electric Vehicles”, Journal of Integrated Design & Process Science, vol. 24, no. 2, pp. 75-92, 2020. DOI: 10.3233/JID200007.

[2] Zhuangcheng Liu, Luyang Hou*, Yanjun Shi, Xiaojun Zheng, and Hongfei Teng, “A co-evolutionary design methodology for complex AGV system,” Neural Computing and Applications, vol.28, no.4, pp.959-974, 2018. (IF: 5.13)

[1] Hua Zhang, Luyang Hou*, and Guosong Wei. “A Kriging Model-based Approximation Technique for Predictive Design", Applied Mechanics and Materials, vol. 733, pp. 871-875. 2015.

[2] Luyang Hou*, Chun Wang and Jun Yan, “Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities”, in the Sustainable City Logistics Planning: Methods and Applications - vol.2, ed.  Anjali Awasthi, Katarzyna Grzybowska, Nova Publisher. 2019.5. (Book chapter)

[1] Janfizza Bukhari, Abhishek G Somanagoudar, Luyang Hou*, Omar E. Herrera, Walter Mérida, “Zero-Emission Delivery for Logistics and Transportation: Challenges, Research Issues, and Opportunities”, Invited Book Chapter–The Palgrave Handbook of Global Sustainability: Chapter 110. Green Logistics and Transportation, pp. 1-21, 2022.9. https://doi.org/10.1007/978-3-030-38948-2_107-1 (Book chapter)

[11] Yuanliang Li, Luyang Hou, Hang Du, Jun Yan, “PEMT-CoSim: A Co-Simulation Platform for Packetized Energy Management and Trading in Distributed Energy Systems”, IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm’22), 2022.8 (Accepted)

[10] Luyang Hou*, Shuai Ma, Jun Yan, Chun Wang, and Jia Yuan Yu, “Reinforcement Mechanism Design for Electric Vehicle Demand Response in Microgrid Charging Stations”, in 2020 International Joint Conference on Neural Networks (IJCNN’20), pp. 1-8. IEEE, 2020.3.  (CCF-C)

[9] Luyang Hou*, Chun Wang, “Optimal Power Management for The Integrated Multiple Energy Carrier System”, in 2022 Canadian Conference on Electrical and Computer Engineering (CCECE’22), 2022.5 (Accepted)

[8] Luyang Hou*, Jun Yan and Chun Wang, “Accommodating More Users in Highway Electric Vehicle Charging through Coordinated Booking: A Market-Based Approach”, in 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD’19), 2019, pp. 476–481. (CCF-C)

[7] Luyang Hou* and Chun Wang, “Market-Based Mechanisms for Smart Grid Management: Necessity, Applications and Opportunities”, in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC’17), 2017, pp. 2613–2618. (CCF-C)

[6] Luyang Hou, Zhuangcheng Liu, Yanjun Shi, and Xiaojun Zheng, “Optimizing machine assignment and loop layout in tandem AGV workshop by co-evolutionary methodology,” in 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD’16), 2016, pp. 263-268. (CCF-C)

[5] Zihui Zhang, Xueyan Sun, Luyang Hou, Wang Chen, and Yanjun Shi, “A Cooperative Co-Evolutionary Multi-Agent System for Multi-objective Layout Optimization of Satellite Module”, in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC’17), 2017, pp. 147–151. (CCF-C)

[4] Yanjun Shi, Luyang Hou, Xueyan Sun, and Yaohui Pan, “Sensors Deployment in Logistics System by Genetic Invasive Weed Optimization,” in International Conference on Internet and Distributed Computing Systems (IDCS’16), 2016, pp. 381-392.

[3] Yanjun Shi, Luyang Hou, and Xiaojun Zheng, “Solving workshop layout by hybridizing invasive weed optimization with simulated annealing,” in 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design (CSCWD’15), 2015, pp. 484-488. (CCF-C)

[2] Luyang Hou*, Yanjun Shi and Xiaojun Zheng, “Hybridizing Invasive Weed Optimization and Simulated Annealing Algorithm for High-Dimensional Function Optimization,” in International Conference on Advanced Materials Research (ICAMR’14), 2014, pp. 1436-1439.

[1] Jianbin Wang, Luyang Hou, Wei Li and Xiaojun Zheng, “Simulating an AGV Scheduling in Job Workshop for Optimal Configuration,” in International Conference on Advanced Materials Research (ICAMR’14), 2014, pp. 1562-1565.

[15] Guoqiang Wu, Xin Ning, Luyang Hou*, Hengmin Zhang and Achyut Shankar, “Three-dimensional Softmax Mechanism Guided Bidirectional GRU Networks for Hyperspectral Remote Sensing Image Classification”, submitted to Signal Processing, 2023.3 (Under Review)

[14] Bingxin Tian, Li Wang, Liang Li, Lianming Xu, Luyang Hou, and Aiguo Fei, “Collaborative Computation Offloading for Photovoltaic Power Prediction in Energy Internet: A Similarity-Aware Stable Matching Approach”, submitted to IEEE Internet of Things Journal. 2022.12 (Under Review)

[13] Zaiyang Yu, Liping Zhang, Luyang Hou, Changshuo Wang, Weijun Li, and Xin Ning, “MV-TransReID: 3D Multi-View Transformer Network for Occluded Person Re-Identification”, submitted to 2023 International Joint Conferences on Artificial Intelligence (IJCAI). 2022.12 (Under Review)

[12] Min Yan, Li Wang, Luyang Hou, Liang Li, Lianming Xu, and Jie Wu, “A Hierarchical Contract Design for Energy Trading and Computation Scheduling in Energy Internet”, IEEE International Conference on Computer Communications (INFOCOM’22), 2022.8 (Under Review)

[11] Li Wang, Sixuan Liu, Pengfei Wang, Lianming Xu, Luyang Hou, and Aiguo Fei, “Electric Vehicle-Facilitated Load Restoration for Urban Coupled Traffic-Power Network: An Across-Realm Cooperative Multi-Agent Reinforcement Learning Framework”, submitted to IEEE Network, 2023.2. (Under Review)

[10] Luyang Hou, Omar E. Herrera, Walter Mérida, “Charging Scheduling and Energy Management for Mobile Chargers in A Grid-Interactive Transportation System”, submitted to Journal of Energy Storage, 2022.6. (Under Review)

[9] Yuerong Tong, Lina Yu, Weijun Li, Jingyi Liu, Luyang Hou, Linjun Sun, and Min Wu, “Fitting Curves with Fractional Implicit Polynomials: A PSO-Assisted Monomial Combination Optimization Framework”, submitted to the Computer Graphics Forum, 2022.8 (Under Review)

[8] Changshuo Wang, Xin Ning, Liping Zhang, Weijun Li, Luyang Hou, “Brain-inspired Topological Feature Representation Method based on Mixed Entropy and Attention”, submitted to IEEE Transactions on Neural Networks and Learning Systems, 2022.9 (Under Review)

[7] Sun Bing, Jing Ruipeng, Zeng Yuan, Ge Leijiao, Luyang Hou, “A quick carrying capacity evaluation method of smart distribution network for distributed generation”, submitted to Journal of Modern Power Systems and Clean Energy, 2022.9 (Under Review)

[6] Jun Jiang, Yuanliang Li, Luyang Hou, Jun Yan, and Yuhong Liu, “Deep Reinforcement Learning-Based Bidding Strategies for Prosumers Trading in Double Auction-Based Transactive Energy Market”, IEEE Transactions on Smart Grid, 2023.3 (Under Review)

[5] Luyang Hou*, Yuanliang Li, Jun Yan, Yuhong Liu, and Mohsen Ghafouri, “An Iterative Double Auction and Co-Simulation Platform Design for Packetized Energy Trading of Prosumers in the Residential Microgrid”, IEEE Transactions on Smart Grid, 2023.1 (Under Review)

[4] Li Wang, Luyang Hou*, Lianming Xu, and Jie Wu, “Reinforcement Contract Design for Vehicular-Edge Computing Scheduling and Energy Trading in Energy Internet via A Hybrid-Action DQN”, IEEE Transactions on Mobile Computing, 2022.12 (Under Review)

[3] Luyang Hou, Yuanliang Li, Jun Yan, Leijiao Ge, “Simultaneous Bidding and Power Management Mechanism for the Integrated Energy System Towards Multi-Type Prosumers”, IEEE Transactions on Sustainable Energy, 2022.6 (In Preparation)

[2] Luyang Hou*, Jun Yan, and Chun Wang, “Incorporating Economic Rationality into Artificial Intelligence: Machina Economicus-Modeled Prosumer Paradigm in the Energy Internet”, submitted to the IEEE Transactions on Artificial Intelligence, 2022.11 (In Preparation)

[1] Luyang Hou*, Li Wang, Jun Yan, Leijiao Ge, “Auction-Facilitated Trading and Power Management for Energy Prosumers in Multi-Energy Market”, IEEE Transactions on Energy Markets, Policy and Regulation. (In Preparation)

[PhD] Luyang Hou, “Advanced Mechanism Design for Electric Vehicle Charging Scheduling in the Smart Infrastructure”, Ph.D. thesis, Concordia University, Supervisors: Dr. Chun Wang and Dr. Jun Yan, 2020.11.

[Master] Luyang Hou, "Research on Several Key Issues and Solutions of Planning and Design for AGV System",  Master thesis, Dalian University of Technology, Supervisor: Dr. Yanjun Shi, 2016.9.