Research output per year
Research output per year
Personal profile
Personal profile
Name: Pang Jinhui
Discipline: Computer Science and Technology
Title: Associate Professor
Tel: 13701031604
E-mail: pangjinhui@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian, Beijing Personal Information
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Discipline: Computer Science and Technology
Title: Associate Professor
Tel: 13701031604
E-mail: pangjinhui@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian, Beijing Personal Information
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Research Interests
Research Direction
Game Theory and Application of Uncertain Information Decision Knowledge Graph Technique
Game Theory and Application of Uncertain Information Decision Knowledge Graph Technique
Education
Personal Information
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Professional Experience
Personal Information
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Pang Jinhui, female, peasant Labor Party. He graduated from the Department of Applied Mathematics of Hunan University with a Bachelor of Science degree in 1991. He graduated from the School of Management and Economics of Beijing Institute of Technology with a Doctor of Management degree in 2008. He is a member of the Board of Directors of the Beijing Operations Research Society, the Game Theory Branch of the China Operations Research Society and the CCF member.
He is the director of the National Natural Science Foundation Project, the Beijing Social Science Foundation Project, the Humanities and Social Science Foundation Project of the Ministry of Education and other provincial and ministerial projects. His main academic research directions are game theory, complex decision making and optimization methods, data mining and knowledge management, statistical learning and application.
Research Achievement
代表性学术成果
1. Jinhui Pang, Xiang Chen. Integral Representations of Cooperative Game with Fuzzy Coalitions [J]. Journal of Applied Mathematics, 2014, 2014(6): 1-9 (SCI四区）
2. Jinhui Pang, Xiang Chen, Shujin Li. The Shapley Values on Fuzzy Coalition Games with Concave Integral Form[J]. Journal of Applied Mathematics, 2014, 2014(4): 1-13(SCI四区）
3. Jinhui Pang, Shujin Li. The Cores for Fuzzy Games Represented by the Concave Integral[J]. Journal of Function Spaces, 2014, 2014(3) (SCI四区）
4. Xiaohui Yu, Hong Zhou, Xufeng Zhang,Qiang Zhang, Yan Liu, Jinhui Pang. The fuzzy bargaining set of cooperative game with fuzzy coalition[J]. Journal of Intelligent and Fuzzy Systems, 2017.10.30, 33(3): 1757-1765(SCI四区）
5. Jinhui Pang, Xian Zhao. Relative R-Impact Based on Normalization Method[J]. IEEE Transaction on Reliability, 2009, 58(2):324-327(SCI二区）
6. 逄金辉,史文强,吴双胜,刘浪. 信息不对称下多因素波动的应急数量弹性契约[J].运筹与管理,2019,(28)03
7. 逄金辉,陈秋萍. 基于模糊机会约束的博弈联盟收益[J].北京理工大学学报,2010,11:1383-1386.
8. 逄金辉,张强. 模糊多目标两人零和博弈的Pareto策略[J].北京理工大学学报,2008,10:934-936
9. 逄金辉,张强. 基于模糊群决策理论的博弈联盟选择[J]. 北京理工大学学报,2007,07:650-654
10. 逄金辉,张强. 两人零和模糊博弈的可能规划模型[J]. 北京理工大学学报,2007,09:837-842.
11. 隋春明,逄金辉. 基于CiteSpace Ⅲ的我国创新管理知识图谱分析[J]. 图书情报工作,2017,S1:99-107.
12. 逄金辉,张强. 区间值双矩阵博弈的均衡策略[J]. 系统工程,2007,04:114-118.
13. 逄金辉,张强. 基于模糊不确定性理论的Bernardo方法[J]. 模糊系统与数学,2008,02:130-135.
14. 逄金辉,张强. 基于Choquet积分的多目标模糊两人零和博弈Nash均衡[J]. 北京理工大学学报,2008,12:1125-1128.
15. 逄金辉,张强. Fuzzy-TOPSIS Method with Multi-goal[J]. Journal of Beijing Institute of Technology,2009,01:112-116.
16. 逄金辉,张强. 博弈联盟模糊收益的分配[J]. 数学的实践与认识,2008,17:206-213.
所获奖励
2018年“基于知识图谱的知识管理与知识服务系统”获中国科技产业化促进会科学技术科技创新二等奖（第1）
2015年“农业生物技术研发体制、知识产权及竞争力研究”获第七届教育部高等学校科学研究优秀成果二等奖（第3）
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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FTF-ER: Feature-Topology Fusion-Based Experience Replay Method for Continual Graph Learning
Pang, J., Lin, C., Hao, X., Yin, R., Wang, Z., Zhang, Z., He, J. & Tai Sheng, H., 28 Oct 2024, MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 8336-8344 9 p. (MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Graph-model Based Optimization of Shelter Hospitals: Integrating MILP for Efficient Layout and Deployment
Daomeng, C., Jinyuan, L., Ertai, E., Tianyue, W., Haoran, X., Jinhui, P. & Yongling, F., 2024, Proceedings of 2024 IEEE 13th Data Driven Control and Learning Systems Conference, DDCLS 2024. Institute of Electrical and Electronics Engineers Inc., p. 503-510 8 p. (Proceedings of 2024 IEEE 13th Data Driven Control and Learning Systems Conference, DDCLS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving Dialogue Intent Classification with a Knowledge-Enhanced Multifactor Graph Model
Xu, H., Pang, J., Song, S. & Zou, B., 27 Jun 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 16366-16367 2 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
MFDG: A Multi-Factor Dialogue Graph Model for Dialogue Intent Classification
Pang, J., Xu, H., Song, S., Zou, B. & He, X., 2023, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Proceedings. Amini, M.-R., Canu, S., Fischer, A., Guns, T., Kralj Novak, P. & Tsoumakas, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 691-706 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13714 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Quantum Game Theory on Entangled Players
Mohamed, N. M. A. A., Taisheng, H. & Jinhui, P., 2023, Proceedings of the 7th International Scientific Conference on Intelligent Information Technologies for Industry (IITI’23) - Volume 1. Kovalev, S., Sukhanov, A. & Kotenko, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 291-301 11 p. (Lecture Notes in Networks and Systems; vol. 776 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review