亿百电竞平台:刘万泉
一、教师简介（含主要经历）
刘万泉， 1965年生， 教授/博导。
电子邮箱：liuwq63@mail.sysu.edu.cn
2021.5月至今，亿百电竞平台智能控制理论与工程，教授.
2000年1月-2021年5月，在澳大利亚科廷大学计算机系担任ARC研究员， 高级讲师和副教授.
1998年7月-2000年1月，澳大利亚悉尼大学电子工程系，U2000 Fellow.
1993年9月-1998年7月，澳大利亚西澳大学电子工程系，博士后.
1993年3月，上海交通大学自动化系， 获工学博士学位.
1988年7月，中国科亿百电竞平台系统科学研究所，获理学硕士学位.
1985年7月， 曲阜师范大学数学专业，获理学学士学位.
二、学科方向
研究方向：图像处理，机器学习、基于神经网络的智能控制系统
讲授课程：密码学、计算机基础、线性系统理论。
三、科研项目
1. 2020, “Efficient deep learning for resource-limited devices with applications to health monitoring,”. 主持。科廷大学资助创新项目.
2. 2018-2021，智能算法的模块化及在医疗机器人中的应用，镇江2025智能制造创新项目， 主持.
3. 2003-2008，基于多模态数据的大型数据模式识别，澳大利亚基金委重点实验室，主要参与人员.
4. 1999-2004，广义系统的均衡实现及其模型降阶，ARC Fellow。主持.
四、论著专利
1. Xiu X, Fan J, Yang Y, W. Liu. Fault Detection Using Structured Joint Sparse Nonnegative Matrix Factorization. IEEE Transactions on Instrumentation and Measurement. 2021 Mar 18;70:1-1.
2. Jun Hao, Guoshan Zhang, Wanquan liu, Yuqing Zheng, Ling Ren,"Data-Driven Tracking Control Based on LM and PID Neural Network with Relay Feedback for Discrete Nonlinear Systems," IEEE Industrial Electronics, 2020, Oct.
3. Li, Q., An, S., Liu, W., & Li, L. (2020). Semisupervised Learning on Graphs With an Alternating Diffusion Process. IEEE Transactions on Neural Networks and Learning Systems.
4. Tan, L., Li, L., Liu, W., Sun, J., & Zhang, M. (2020). A Novel Euler’s Elastica-Based Segmentation Approach for Noisy Images Using the Progressive Hedging Algorithm. Journal of Mathematical Imaging and Vision, 62(1), 98-119.
5. Xiu, X., Yang, Y., Kong, L., & Liu, W. (2020). Data-driven process monitoring using structured joint sparse canonical correlation analysis. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(1), 361-365。
6. Liu, X., Jia, W., Liu, W., & Pedrycz, W. (2019). AFSSE: An interpretable classifier with axiomatic fuzzy set and semantic entropy. IEEE Transactions on Fuzzy Systems, 28(11), 2825-2840.
7. Tan, L., Pan, Z., Liu, W., Duan, J., Wei, W., & Wang, G. (2018). Image segmentation with depth information via simplified variational level set formulation. Journal of Mathematical Imaging and Vision, 60(1), 1-17.
8. Pathirage, C. S. N., Li, J., Li, L., Hao, H., Liu, W., & Ni, P. (2018). Structural damage identification based on autoencoder neural networks and deep learning. Engineering structures, 172, 13-28.
9. Hong, D., Liu, W., Su, J., Pan, Z., & Wang, G. (2015). A novel hierarchical approach for multispectral palmprint recognition. Neurocomputing, 151, 511-521.
10. Duan, J., Pan, Z., Zhang, B., Liu, W., & Tai, X. C. (2015). Fast algorithm for color texture image inpainting using the non-local CTV model. Journal of Global Optimization, 62(4), 853-876.
11. Li, Q., Liu, W., & Li, L. (2018). Affinity learning via a diffusion process for subspace clustering. Pattern Recognition, 84, 39-50.
12. Yang, L., Li, C., Han, J., Chen, C., Ye, Q., Zhang, B., ... & Liu, W. (2017). Image reconstruction via manifold constrained convolutional sparse coding for image sets. IEEE Journal of Selected Topics in Signal Processing, 11(7), 1072-1081.
13. Xue, M., Mian, A., Liu, W., & Li, L. (2015, January). Automatic 4D facial expression recognition using DCT features. In 2015 IEEE Winter Conference on Applications of Computer Vision (pp. 199-206). IEEE.
14. Wu, A. G., Duan, G. R., & Liu, W. (2015). Implicit iterative algorithms for continuous Markovian jump Lyapunov equations. IEEE Transactions on Automatic Control, 61(10), 3183-3189.
15. Zhang, B., Liu, W., Mao, Z., Liu, J., & Shen, L. (2014). Cooperative and geometric learning algorithm (CGLA) for path planning of UAVs with limited information. Automatica, 50(3), 809-820.
五、荣誉获奖情况
1. 2018， 镇江市科委2025智能制造创新人才计划.
2. 2015， 北京市海聚人才.
3. 2002， 日本振兴协会（JSPS）高级访问学者.
4. 1999， ARC Fellow （5 年资助）.
5. 1998， U2000 Research Fellow (University of Sydney).
6. 1994, 山东省青年拔尖人才.
六、主要兼职
中国控制理论委员会委员.
七、社会服务
Editor-in-chief, Mathematical Foundations of Computing.
Associate Editor for Journal of Control Technology.
Associate Editor for Journal of Advances in discrete and Continuous Models.
Reviewers and IPC members for many top journals and conferences in Machine learning and Control.
八、联系方式
电子邮箱： liuwq63@mail.sysu.edu.cn