|
修贤超 讲师 联系方式:xcxiu@shu.edu.cn |
修贤超,金沙国际官网(中国)集团有限公司助理研究员、硕士生导师。
最优化理论、算法与应用
1、本科生《运筹学》《自动控制原理》
2、研究生《现代优化方法》
上海市运筹学会青年委员,美国《数学评论》评论员
1、X. Xiu (修贤超), L. Pan, Y. Yang, W. Liu. Efficient and fast joint sparse constrained canonical correlation analysis for fault detection. IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2022.3201881.
2、X. Xiu (修贤超), Z. Miao, W. Liu. A sparsity-aware fault diagnosis framework focusing on accurate isolation. IEEE Transactions on Industrial Informatics, 19(2): 1356-1365, 2023.
3、X. Xiu (修贤超), Z. Miao, Y. Yang, W. Liu. Deep canonical correlation analysis using sparsity constrained optimization for nonlinear process monitoring. IEEE Transactions on Industrial Informatics, 18(10): 6690-6699, 2022.