A New Resource Discovery Mechanism with Negotiate Solution Based on Agent in Grid Environments. - Junyan Wang; Yuebin Xu; Guanfeng Liu 001; Zhenkuan Pan 001; Yongsheng Hao (GPC Workshops, 2008)

A New Grid Resource Management Mechanism Based on D-S Theory. - Yongsheng Hao; Yuebin Xu; Guanfeng Liu 001; Zhenkuan Pan 001 (MUE, 2008)

An enhanced load balancing mechanism based on deadline control on GridSim. - Yongsheng Hao; Guanfeng Liu 001; Na Wen (Future Gener. Comput. Syst., 2012)

Evaluation of nine heuristic algorithms with data-intensive jobs and computing-intensive jobs in a dynamic environment. - Yongsheng Hao; Guanfeng Liu 001 (IET Softw., 2015)

Performance Analysis of Gang Scheduling in a Grid. - Yongsheng Hao; Guanfeng Liu 001; Rongtao Hou; Yongsheng Zhu; Junwen Lu (J. Netw. Syst. Manag., 2015)

Enhanced resource scheduling in Grid considering overload of different attributes. - Yongsheng Hao (KSII Trans. Internet Inf. Syst., 2016)

An adaptive algorithm for scheduling parallel jobs in meteorological Cloud. - Yongsheng Hao; Lina Wang; Mai Zheng (Knowl. Based Syst., 2016)

Position Estimation Based on RSS and DOA Path Loss Model. - Yunfei Shi; Yongsheng Hao; Deliang Liu; Bo Wang (CSPS, 2017)

Parallel task scheduling under multi-Clouds. - Yongsheng Hao; Mandan Xia; Na Wen; Rongtao Hou; Hua Deng; Lina Wang; Qin Wang (KSII Trans. Internet Inf. Syst., 2017)

Graph classification based on graph set reconstruction and graph kernel feature reduction. - Tinghuai Ma; Wenye Shao; Yongsheng Hao; Jie Cao 011 (Neurocomputing, 2018)

A parallel tasks Scheduling heuristic in the Cloud with multiple attributes. - Qin Wang; Rongtao Hou; Yongsheng Hao; Yin Wang (KSII Trans. Internet Inf. Syst., 2018)

Adaptive energy-aware scheduling method in a meteorological cloud. - Yongsheng Hao; Jie Cao 011; Tinghuai Ma; Sai Ji (Future Gener. Comput. Syst., 2019)

An Energy-Aware Multi-Target Service Composition Method in a Multi-Cloud Environment. - Huayi Yin; Yongsheng Hao (IEEE Access, 2020)

Energy-Aware Scheduling in Edge Computing Based on Energy Internet. - Qing Zhang; Xiaoyong Lin; Yongsheng Hao; Jie Cao 011 (IEEE Access, 2020)

ALSTM: An attention-based long short-term memory framework for knowledge base reasoning. - Qi Wang 044; Yongsheng Hao (Neurocomputing, 2020)

ADRL: An attention-based deep reinforcement learning framework for knowledge graph reasoning. - Qi Wang 044; Yongsheng Hao; Jie Cao 011 (Knowl. Based Syst., 2020)

GRL: Knowledge graph completion with GAN-based reinforcement learning. - Qi Wang 044; Yuede Ji; Yongsheng Hao; Jie Cao 011 (Knowl. Based Syst., 2020)

Learning to traverse over graphs with a Monte Carlo tree search-based self-play framework. - Qi Wang 044; Yongsheng Hao; Jie Cao 011 (Eng. Appl. Artif. Intell., 2021)

Energy-aware scheduling in edge computing with a clustering method. - Yongsheng Hao; Jie Cao 011; Qi Wang 044; Jinglin Du (Future Gener. Comput. Syst., 2021)

Deepening the IDA* algorithm for knowledge graph reasoning through neural network architecture. - Qi Wang 044; Yongsheng Hao; Feng Chen (Neurocomputing, 2021)

Energy-aware offloading based on priority in mobile cloud computing. - Yongsheng Hao; Jie Cao 011; Qi Wang 044; Tinghuai Ma (Sustain. Comput. Informatics Syst., 2021)

A Sufferage offloading tasks method for multiple edge servers. - Tao Zhang; Mingfeng Cao; Yongsheng Hao (KSII Trans. Internet Inf. Syst., 2022)

Energy-aware service composition in multi-Cloud. - Jianmin Li; Ying Zhong; Shunzhi Zhu; Yongsheng Hao (J. King Saud Univ. Comput. Inf. Sci., 2022)

Dynamic offloading for energy-aware scheduling in a mobile cloud. - Junwen Lu; Yongsheng Hao; Kesou Wu; Yuming Chen; Qin Wang (J. King Saud Univ. Comput. Inf. Sci., 2022)

A Novel Sentiment Polarity Detection Framework for Chinese. - Tinghuai Ma; Huan Rong; Yongsheng Hao; Jie Cao 011; Yuan Tian 003; Mznah Al-Rodhaan (IEEE Trans. Affect. Comput., 2022)

Data Layout and Scheduling Tasks in a Meteorological Cloud Environment. - Kunfu Wang; Yongsheng Hao; Jie Cao 011 (Intell. Autom. Soft Comput., 2023)

Interval grey number of energy consumption helps task offloading in the mobile environment. - Yongsheng Hao; Qi Wang 044; Jie Cao 011; Tinghuai Ma; Jinglin Du; Xin Zhang (ICT Express, 2023)

Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information. - Yongsheng Hao; Qi Wang 044; Tinghuai Ma; Jinglin Du; Jie Cao 011 (J. Parallel Distributed Comput., 2023)

Generative inverse reinforcement learning for learning 2-opt heuristics without extrinsic rewards in routing problems. - Qi Wang 044; Yongsheng Hao; Jiawei Zhang (J. King Saud Univ. Comput. Inf. Sci., 2023)

Routing optimization with Monte Carlo Tree Search-based multi-agent reinforcement learning. - Qi Wang 044; Yongsheng Hao (Appl. Intell., 2023)

Meteorological data layout and task scheduling in a multi-cloud environment. - Yongsheng Hao; Jie Cao 011; Qi Wang 044; Tinghuai Ma; Qin Wang; Xin Zhang (Eng. Appl. Artif. Intell., 2023)

Special Section Guest Editorial: Real-Time Image Steganography and Steganalysis. - Shi Dong; Stelvio Cimato; Joarder Kamruzzaman; Yongsheng Hao (Adv. Math. Commun., 2024)

Task Offloading in Edge Computing Considering the Dynamics of Tasks and Networks Based on Grey Numbers. - Yongsheng Hao; Jie Cao 011 (IEEE Internet Things J., 2025)

An energy-aware scheduling method for parallel tasks based on an adaptive differential evolution algorithm in a multi-cloud environment. - Qin Wang; Yongsheng Hao; Yue Xu; Tinhuai Ma; Xin Zhang (Expert Syst. Appl., 2026)