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Kang Xiong - IEEE Xplore Author Profile
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Kang Xiong

Publications
4
Citations
6
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (13)
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Kang Xiong

Affiliation

Institute of Systems Engineering
Macau University of Science and Technology
Macau, China

Publication Topics

Biography

Kang Xiong is currently working toward the bachelor’s degree at the School of Computer Science, Northwestern Polytechnical University, China. His research interests include machine learning and natural language processing.(Based on document published on 20 October 2021).
Publications
4
Citations
6
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (13)
Author's Published Works

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Residential Energy Scheduling With Solar Energy Based on Dyna Adaptive Dynamic Programming

Kang Xiong;Qinglai Wei;Hongyang Li

IEEE/CAA Journal of Automatica Sinica
Year: 2025 | Volume: 12, Issue: 2 | Journal Article |
Learning-based methods have become mainstream for solving residential energy scheduling problems. In order to improve the learning efficiency of existing methods and increase the utilization of renewable energy, we propose the Dyna action-dependent heuristic dynamic programming (Dyna-ADHDP) method, which incorporates the ideas of learning and planning from the Dyna framework in action-dependent he...Show More

Residential Energy Scheduling With Solar Energy Based on Dyna Adaptive Dynamic Programming

Kang Xiong;Qinglai Wei;Hongyang Li

Year: 2025 | Volume: 12, Issue: 2 | Journal Article |

Community Microgrid Energy Co-Scheduling Based on Deep Reinforcement Learning and Contribution Mechanisms

Kang Xiong;Qinglai Wei;Yu Liu

IEEE Transactions on Smart Grid
Year: 2025 | Volume: 16, Issue: 2 | Journal Article |
Realizing energy-distributed cooperative scheduling while guaranteeing user privacy is challenging for community microgrid energy management. A dual-interaction deep deterministic policy gradient (DI-DDPG) method based on the contribution mechanism is proposed in this paper to realize distributed co-scheduling of energy in community microgrids under user privacy, electricity demand, and uncertaint...Show More

Community Microgrid Energy Co-Scheduling Based on Deep Reinforcement Learning and Contribution Mechanisms

Kang Xiong;Qinglai Wei;Yu Liu

Year: 2025 | Volume: 16, Issue: 2 | Journal Article |

Machine Lerning-Based Analysis of Psychological Issues and Game Intervention for College Students

Tianhang Guo;Jiaxuan Yan;Can Cao;Kang Xiong;Peiwen Chen;Huali Yang

2024 4th International Conference on Educational Technology (ICET)
Year: 2024 | Conference Paper |
This thesis explores the growing mental health problems of today's students, with a special focus on depression among college students. By analyzing relevant data and literature, the possibility of using games as an innovative psychological calming tool to alleviate students' psychological stress is proposed. The paper first introduces the background and severity of students' mental health problem...Show More

Machine Lerning-Based Analysis of Psychological Issues and Game Intervention for College Students

Tianhang Guo;Jiaxuan Yan;Can Cao;Kang Xiong;Peiwen Chen;Huali Yang

Year: 2024 | Conference Paper |

Robust Detection of Malicious URLs With Self-Paced Wide & Deep Learning

Yunji Liang;Qiushi Wang;Kang Xiong;Xiaolong Zheng;Zhiwen Yu;Daniel Zeng

IEEE Transactions on Dependable and Secure Computing
Year: 2022 | Volume: 19, Issue: 2 | Journal Article |
Cited by: Papers (6)
As cybercrimes grow in scale with devastating economic costs, it is important to protect potential victims against diverse attacks. In spite of the diversity of cybercrimes, it is the uniform resource locators (URLs) that connect vulnerable users with potential attacks. Although numerous solutions (e.g., rule-based solutions and machine learning-based methods) are proposed for malicious URL detect...Show More

Robust Detection of Malicious URLs With Self-Paced Wide & Deep Learning

Yunji Liang;Qiushi Wang;Kang Xiong;Xiaolong Zheng;Zhiwen Yu;Daniel Zeng

Year: 2022 | Volume: 19, Issue: 2 | Journal Article |

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