Jun Hao

According to our database, Jun Hao authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

High Efficiency Data Driven Control Based on Dynamic Linearization and PIDNN With Cohen-Coon for Discrete Nonlinear Fast Time-Varying Systems.

Jun Hao, Guoshan Zhang, Desheng Zhu, Hui Ye

IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

2023

A dynamic ensemble approach for multi-step price prediction: Empirical evidence from crude oil and shipping market.

Jun Hao, Jiaxin Yuan, Dengsheng Wu, Weixuan Xu, Jianping Li

Expert Syst. Appl., December, 2023

A dynamic clustering ensemble learning approach for crude oil price forecasting.

Jiaxin Yuan, Jianping Li, Jun Hao

Eng. Appl. Artif. Intell., 2023

Feasibility Study of Berth Updating based on Multi-Agent Simulation Technology.

Chen Shen, Jun Hao, Dachuan Wang, Zhuo Fang, Lei Mei, Lu Sun

Proceedings of the 15th International Conference on Computer Modeling and Simulation, 2023

2022

Online Unified Solution for Selective Harmonic Elimination Based on Stochastic Configuration Network and Levenberg-Marquardt Algorithm.

Jun Hao, Guoshan Zhang, Kehu Yang, Mingzhe Wu, Yuqing Zheng, Wei Hu

IEEE Trans. Ind. Electron., 2022

Multi-objective optimization of crude oil-supply portfolio based on interval prediction data.

Xiaolei Sun, Jun Hao, Jianping Li

Ann. Oper. Res., 2022

A dynamic ensemble learning approach with spectral clustering for beef and lamb prices prediction.

Jiaxin Yuan, Jun Hao, Mingxi Liu, Dengsheng Wu, Jianping Li

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

Data-Driven Tracking Control Based on LM and PID Neural Network With Relay Feedback for Discrete Nonlinear Systems.

Jun Hao, Guoshan Zhang, Wanquan Liu, Yuqing Zheng, Ling Ren

IEEE Trans. Ind. Electron., 2021

Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming.

Jianping Li, Jun Hao, Qianqian Feng, Xiaolei Sun, Mingxi Liu

Expert Syst. Appl., 2021

Forecasting China's sovereign CDS with a decomposition reconstruction strategy.

Jianping Li, Jun Hao, Xiaolei Sun, Qianqian Feng

Appl. Soft Comput., 2021

Forecasting short-term tourism demand with a decomposition-ensemble strategy.

Yuyao Feng, Jun Hao, Xiaolei Sun, Jianping Li

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Predictability of sovereign CDS: permutation entropy method.

Qianqian Feng, Jun Hao, Xiaolei Sun, Jianping Li

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Comparison Lift: Bandit-based Experimentation System for Online Advertising.

Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multi-objective artificial bee colony algorithm for multi-stage resource leveling problem in sharing logistics network.

Xiaofeng Xu, Jun Hao, Yao Zheng

Comput. Ind. Eng., 2020

An End-to-End Toolkit for Social Network Analysis.

Jun Hao, Xinghui Zhao

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Opportunistic routing with data fusion for multi-source wireless sensor networks.

Jianyu Li, Xinchun Jia, Xiaojun Lv, Zongyuan Han, Jiankang Liu, Jun Hao

Wirel. Networks, 2019

Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in a Collaborative Logistics Network.

Xiaofeng Xu, Jun Hao, Lean Yu, Yi-Rui Deng

IEEE Trans. Fuzzy Syst., 2019

Parallel building: a complex system approach for smart building energy management.

Abdulaziz Almalaq, Jun Hao, Jun Jason Zhang, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2019

Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning.

Jun Hao

CoRR, 2019

Game-Theoretic Energy Consumption Planning at Distribution Level for Future Smart Grid.

Jun Hao, Ke Zhang, Xiaoxiao Dai, Jun Jason Zhang

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Iterative Adaptive Dynamic Programming Adviced Campus Scale Social Energy System Management.

Xiaoxiao Dai, Ke Zhang, Jun Jason Zhang, Jun Hao, Yue Guo, Zhiqiang Chong, Xiaojing Yang

Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Ensemble forecasting for electricity consumption based on nonlinear optimization.

Jun Hao, Qianqian Feng, Weilan Suo, Guowei Gao, Xiaolei Sun

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

2018

Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks.

Soklong Lim, Jun Hao, Zaixin Lu, Xuechen Zhang, Zhao Zhang

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018

2017

Social energy: mining energy from the society.

Jun Jason Zhang, David Wenzhong Gao, Yingchen Zhang, Xiao Wang, Xiangyang Zhao, Dongliang Duan, Xiaoxiao Dai, Jun Hao, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2017

LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions.

Yu Wang, Jiayi Liu, Yuxiang Liu, Jun Hao, Yang He, Jinghe Hu, Weipeng P. Yan, Mantian Li

CoRR, 2017

Design optimization of resource combination for collaborative logistics network under uncertainty.

Xiaofeng Xu, Jun Hao, Yi-Rui Deng, Yong Wang

Appl. Soft Comput., 2017

Composite socio-technical systems: A method for social energy systems.

Fulin He, Jun Hao, Xiaoxiao Dai, Jun Jason Zhang, Jiaolong Wei, Yingchen Zhang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2015

Joint real-time energy and demand-response management using a hybrid coalitional-noncooperative game.

Fulin He, Yi Gu, Jun Hao, Jun Jason Zhang, Jiaolong Wei, Yingchen Zhang

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Prediction of a bed-exit motion: Multi-modal sensing approach and incorporation of biomechanical knowledge.

Jun Hao, Xiaoxiao Dai, Amy Stroder, Jun Jason Zhang, Bradley Davidson, Mohammad H. Mahoor, Neil McClure

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014