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 (ACSSC, 2014)

Joint real-time energy and demand-response management using a hybrid coalitional-noncooperative game. - Fulin He; Yi Gu 004; Jun Hao; Jun Jason Zhang; Jiaolong Wei; Yingchen Zhang (ACSSC, 2015)

Composite socio-technical systems: A method for social energy systems. - Fulin He; Jun Hao; Xiaoxiao Dai; Jun Jason Zhang; Jiaolong Wei; Yingchen Zhang (SMC, 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)

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)

Social energy: mining energy from the society. - Jun Jason Zhang; David Wenzhong Gao; Yingchen Zhang; Xiao Wang 002; Xiangyang Zhao; Dongliang Duan; Xiaoxiao Dai; Jun Hao; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2017)

Approximating the k-Minimum Distance Rumor Source Detection in Online Social Networks. - Soklong Lim; Jun Hao; Zaixin Lu; Xuechen Zhang 001; Zhao Zhang 002 (ICCCN, 2018)

Ensemble forecasting for electricity consumption based on nonlinear optimization. - Jun Hao; Qianqian Feng; Weilan Suo; Guowei Gao; Xiaolei Sun (ITQM, 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 (SOLI, 2019)

Game-Theoretic Energy Consumption Planning at Distribution Level for Future Smart Grid. - Jun Hao; Ke Zhang; Xiaoxiao Dai; Jun Jason Zhang (SOLI, 2019)

Multi-agent Reinforcement Learning Embedded Game for the Optimization of Building Energy Control and Power System Planning. - Jun Hao (CoRR, 2019)

Parallel building: a complex system approach for smart building energy management. - Abdulaziz Almalaq; Jun Hao; Jun Jason Zhang; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 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)

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)

An End-to-End Toolkit for Social Network Analysis. - Jun Hao; Xinghui Zhao (IEEE BigData, 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)

Comparison Lift: Bandit-based Experimentation System for Online Advertising. - Tong Geng; Xiliang Lin; Harikesh S. Nair; Jun Hao; Bin Xiang; Shurui Fan (AAAI, 2021)

Predictability of sovereign CDS: permutation entropy method. - Qianqian Feng; Jun Hao; Xiaolei Sun; Jianping Li 001 (ITQM, 2021)

Forecasting short-term tourism demand with a decomposition-ensemble strategy. - Yuyao Feng; Jun Hao; Xiaolei Sun; Jianping Li 001 (ITQM, 2021)

Forecasting China's sovereign CDS with a decomposition reconstruction strategy. - Jianping Li 001; Jun Hao; Xiaolei Sun; Qianqian Feng (Appl. Soft Comput., 2021)

Optimal selection of heterogeneous ensemble strategies of time series forecasting with multi-objective programming. - Jianping Li 001; Jun Hao; Qianqian Feng; Xiaolei Sun; Mingxi Liu (Expert Syst. Appl., 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 004 (IEEE Trans. Ind. Electron., 2021)

A dynamic ensemble learning approach with spectral clustering for beef and lamb prices prediction. - Jiaxin Yuan; Jun Hao; Mingxi Liu; Dengsheng Wu; Jianping Li 001 (ITQM, 2022)

Multi-objective optimization of crude oil-supply portfolio based on interval prediction data. - Xiaolei Sun; Jun Hao; Jianping Li 001 (Ann. Oper. Res., 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)

Feasibility Study of Berth Updating based on Multi-Agent Simulation Technology. - Chen Shen; Jun Hao; Dachuan Wang; Zhuo Fang; Lei Mei; Lu Sun (ICCMS, 2023)

A dynamic clustering ensemble learning approach for crude oil price forecasting. - Jiaxin Yuan; Jianping Li 001; Jun Hao (Eng. Appl. Artif. Intell., 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 001 (Expert Syst. Appl., 2023)

Multiplex Networks and Pan-Cancer Multiomics-Based Driver Gene Identification Using Graph Neural Networks. - Xingyi Li; Junming Li; Jun Hao; Xingyu Liao; Min Li 007; Xuequn Shang 001 (Big Data Min. Anal., 2024)

TCKGCN: Graph convolutional network for aspect-based sentiment analysis with three-channel knowledge fusion. - Jun Hao; Lili Pei; Yongxi He; Zhenzhen Xing; Yuhan Weng (Neurocomputing, 2024)

HCEG: A heterogeneous clustering ensemble learning approach with gravity-based strategy for data assets intelligent pricing. - Jun Hao; Jiaxin Yuan; Jianping Li 001 (Inf. Sci., 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 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Single mmWave Radar-Based Pose Detection for Non-Intrusive Patient Monitoring. - Jun Hao; Jeff Lee; Chee Kiat Seow (MeMeA, 2025)

Intelligent Vehicle driving Decision based on Deep Learning Algorithm under Structured Road Environment. - Jun Hao (Mechatron. Syst. Control., 2025)

A reliable ensemble forecasting modeling approach for complex time series with distributionally robust optimization. - Jiaxin Yuan; Jianping Li; Jun Hao (Comput. Oper. Res., 2025)

PathActMarker: an R package for inferring pathway activity of complex diseases. - Xingyi Li; Jun Hao; Zhelin Zhao; Junming Li; Xingyu Liao; Min Li 007; Xuequn Shang 001 (Frontiers Comput. Sci., 2025)