刘贵松 院长

教授、博士生导师

全面负责学院行政工作

办公室：柳林校区通博楼B322A室

电话：028-87092020

Email：gliu@swufe.edu.cn

※教师简介

博士，教授，博导。教育部教学指导委员会委员、中国工程教育专业认证专家、四川省学术与技术带头人，四川省人工智能学会副理事长，西南财经大学“新财经综合实验室”主任。

发表SCI/EI检索论文100余篇，参编教材专著3部，洪堡大学访问学者，累计主持国家、省部、企业合作等科研项目30余项，教育部教改项目4项，授权国家发明专利30余项、软件著作权近10项，获省部级科技奖励3项 、国家教学成果二等奖1项。

※研究方向

1．脑机器学习、神经网络

2．大数据分析与利用

3．识别与智能系统

4．区域经济系统及智能服务

※教育工作经历

1991-1995：西安交通大学，工学学士

1997-2000：电子科技大学，工学硕士

2003-2007：电子科技大学，工学博士

2000-2020：电子科技大学，历任讲师/副教授/教授博导

2019-2021：电子科技大学，中山学院计算机学院，院长

2021-今 ：西南财经大学，计算机与人工智能学院，院长

※近期主持项目

1．基于脉冲编码的类脑联邦学习方法研究, 国家自然科学基金面上项目，在研

2．类脑智能芯片低功耗学习方法研究，四川省重点研发计划项目，在研

3．基于脉冲神经网络的深度时序迁移学习方法，广东省自然科学基金面上项目，在研

4．新财经综合实验室平台项目，中国农业银行四川省分行，在研

5．**研究与示范，科技部，重点研发计划（子课题），结题

6．泛家居制造工业互联网标识解析二级节点建设项目，广东省通信管理局，结题

7．宜宾市建设区域性数字经济中心分析研究，宜宾市政府，结题

※近期发表文章

1. Event-Driven Spiking Learning Algorithm Using Aggregated Labels, Xie, Xiurui; Chua, Yansong; Liu, Guisong; Zhang, Malu; Luo, Guangchun; Tang, Huajin: IEEE Transactions on Neural Networks and Learning Systems, p 1-12, 2023

2. Natural image matting based on surrogate model, Liang, Yihui; Gou, Hongshan; Feng, Fujian; Liu, Guisong; Huang, Han: Applied Soft Computing, v 143, August 2023

3. Bio-inspired Active Learning method in spiking neural network, Zhan, Qiugang; Liu, Guisong; Xie, Xiurui; Zhang, Malu; Sun, Guolin: Knowledge-Based Systems, v 261, February 15, 2023

4. Stackelberg game-based dynamic resource trading for network slicing in 5G networks, Ou, Ruijie; Boateng, Gordon Owusu; Ayepah-Mensah, Daniel; Sun, Guolin; Liu, Guisong: Journal of Network and Computer Applications, v 214, May 2023

5. Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach, Sun, Guolin; Boateng, Gordon Owusu; Luo, Liyuan; Chen, Huan; Mensah, Daniel Ayepah; Liu, Guisong: IEEE Transactions on Mobile Computing, p 1-16, 2023

6. SNAF: DRL-Based Interdependent E2E Resource Slicing Scheme for a Virtualized Network, Sebakara, Samuel Rene Adolphe; Sun, Guolin; Boateng, Gordon Owusu; Mareri, Bruce; Ou, Ruijie; Liu, Guisong: IEEE Transactions on Vehicular Technology, v 72, n 7, p 9069-9084, July 1, 2023

7. Two-Tier Resource Allocation for Multi-Tenant Network Slicing: A Federated Deep Reinforcement Learning Approach, Ou, Ruijie; Sun, Guolin; Ayepah-Mensah, Daniel; Boateng, Gordon Owusu; Liu, Guisong: IEEE Internet of Things Journal, p 1-1, 2023

8. Blockchain-Enabled Federated Learning-Based Resource Allocation and Trading for Network Slicing in 5G, Ayepah-Mensah, Daniel; Sun, Guolin; Boateng, Gordon Owusu; Anokye, Stephen; Liu, Guisong: IEEE/ACM Transactions on Networking, p 1-16, 2023

9. Blockchain-Based Computing Resource Trading in Autonomous Multi-Access Edge Network Slicing: A Dueling Double Deep Q-Learning Approach, Kwantwi, Thomas; Sun, Guolin; Kuadey, Noble Arden Elorm; Maale, Gerald; Liu, Guisong: IEEE Transactions on Network and Service Management, p 1-1, 2023

10. Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach, Boateng, Gordon Owusu; Sun, Guolin; Mensah, Daniel Ayepah; Doe, Daniel Mawunyo; Ou, Ruijie; Liu, Guisong: IEEE Transactions on Mobile Computing, v 22, n 10, p 5801-5815, October 1, 2023

11. Effective Active Learning Method for Spiking Neural Networks, Xie, Xiurui; Yu, Bei; Liu, Guisong; Zhan, Qiugang; Tang, Huajin: IEEE Transactions on Neural Networks and Learning Systems, p 1-10, 2023

12. DeepFESL: Deep Federated Echo State Learning-Based Proactive Content Caching in UAV-Assisted Networks, Maale, Gerald Tietaa; Sun, Guolin; Kuadey, Noble Arden Elorm; Kwantwi, Thomas; Ou, Ruijie; Liu, Guisong: IEEE Transactions on Vehicular Technology, p 1-13, 2023

13. A Dual Active Domain Adaptation Algorithm Based on Loss Prediction Strategy, Liu, Gui-Song; Zheng, Yu; Xie, Xiu-Rui; Huang, Li; Ding, Hao-Lun: 计算机学报, v 46, n 3, p 579-593, March 2023

14. Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G, Boateng, Gordon Owusu; Ayepah-Mensah, Daniel; Doe, Daniel Mawunyo; Mohammed, Abegaz; Sun, Guolin; Liu, Guisong: IEEE Transactions on Network and Service Management, v 19, n 1, p 216-227, March 1, 2022

15. Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles, Abishu, Hayla Nahom; Seid, Abegaz Mohammed; Yacob, Yasin Habtamu; Ayall, Tewodros; Sun, Guolin; Liu, Guisong: IEEE Transactions on Vehicular Technology, v 71, n 1, p 946-960, January 1, 2022

16. Intelligent Cruise Guidance and Vehicle Resource Management with Deep Reinforcement Learning, Sun, Guolin; Liu, Kai; Boateng, Gordon Owusu; Liu, Guisong; Jiang, Wei: IEEE Internet of Things Journal, v 9, n 5, p 3574-3585, March 1, 2022

17. Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward, Sun, Guolin; Ayepah-Mensah, Daniel; Xu, Rong; Agbesi, Victor Kwaku; Liu, Guisong; Jiang, Wei: IEEE Systems Journal, v 16, n 1, p 1044-1055, March 1, 2022

18. A deep learning approach for insulator instance segmentation and defect detection, Antwi-Bekoe, Eldad; Liu, Guisong; Ainam, Jean-Paul; Sun, Guolin; Xie, Xiurui: Neural Computing and Applications, v 34, n 9, p 7253-7269, May 2022

19. When to transfer: a dynamic domain adaptation method for effective knowledge transfer, Xie, Xiurui; Cai, Qing; Zhang, Hongjie; Zhang, Malu; Yang, Zeheng; Liu, Guisong: International Journal of Machine Learning and Cybernetics, v 13, n 11, p 3491-3508, November 2022

20. Effective Transfer Learning Algorithm in Spiking Neural Networks, Zhan, Qiugang; Liu, Guisong; Xie, Xiurui; Sun, Guolin; Tang, Huajin: IEEE Transactions on Cybernetics, v 52, n 12, p 13323-13335, December 1, 2022

21. Human-Level Control Through Directly Trained Deep Spiking Q-Networks, Liu, Guisong; Deng, Wenjie; Xie, Xiurui; Huang, Li; Tang, Huajin: IEEE Transactions on Cybernetics, p 1-12, 2022

22. Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach, Seid, Abegaz Mohammed; Boateng, Gordon Owusu; Anokye, Stephen; Kwantwi, Thomas; Sun, Guolin; Liu, Guisong: IEEE Internet of Things Journal, v 8, n 15, p 12203-12218, August 1, 2021

23. An end-to-end functional spiking model for sequential feature learning, Xie, Xiurui; Liu, Guisong; Cai, Qing; Sun, Guolin; Zhang, Malu; Qu, Hong: Knowledge-Based Systems, v 195, 11 May 2020

24. Enforcing Affinity Feature Learning through Self-attention for Person Re-identification, Ainam, Jean-Paul; Qin, Ke; Liu, Guisong; Luo, Guangchun; Agyemang, Brighter: ACM Transactions on Multimedia Computing, Communications and Applications, v 16, n 1, March 2020

25. Autonomous Resource Slicing for Virtualized Vehicular Networks with D2D Communications Based on Deep Reinforcement Learning, Sun, Guolin; Boateng, Gordon Owusu; Ayepah-Mensah, Daniel; Liu, Guisong; Wei, Jiang: IEEE Systems Journal, v 14, n 4, p 4694-4705, December 2020

※考生备注

硕士专业：计算机科学与技术

博士专业：人工智能理论与应用

聚焦可信人工智能关键理论研究、行业大数据分析及区域经济发展应用；

欢迎计算机/自动化/数学等相关理工背景的同学报考本团队博士和硕士。

※联系方式

新财经综合实验室，人工智能与行业大数据创新团队

实验室联系人：黄老师

Email：lihuang@swufe.edu.cn