教育背景：
2000-9至2004-7哈尔滨工程大学 理学院 理学学士；
2004-9至2009-6大连理工大学 应用数学系 理学博士。
学术成果：
[1] Jinlan Liu, Jun Kong, Dongpo Xu*, Miao Qi, Yinghua Lu. Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization. Neural Networks, 2022, 145: 300–307.
[2] Jianqi Luo, Jinlan Liu, Dongpo Xu*, Huisheng Zhang. SGD-rα: A real-time α-suffix averaging method for SGD with biased gradient estimates. Neuocomputing, 2022, 487: 1–8.
[3] Dongpo Xu*, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic. Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. Neural Networks, 2021, 139: 17–23.
[4] Dongpo Xu*, Yili Xia, Danilo P. Mandic. Optimization in quaternion dynamic systems: Gradient, hessian, and learning algorithms. IEEE Transactions on Neural and Learning Systems, 2016, 27(2): 249-261.
[5] Dongpo Xu*, Danilo P. Mandic. The theory of quaternion matrix derivatives.
IEEE Transactions on Signal Processing, 2015, 63(6): 1543-155
