朱献超，男，1990.3月生，博士，讲师。

电子邮箱：xczhuiffs@163.com.

研究方向：机器学习、强化学习、量子强化学习。

教育经历：

2012.09-2014.06,安阳师范学院人文管理学院,计算机科学与技术专业，学士;

2015.09-2018.06,华中师范大学,计算机系统结构，硕士;

2018.09-2022.06,电子科技大学,物理学，博士;

代表性教科研学术成果：

论文：

1.Xianchao Zhu,Ruiyuan Zhang, William Zhu, MDMD Options Discovery for Accelerating Exploration in Sparse-Reward Domains, Knowledge-based Systems,2022, 241: 108151. (SCI,中科院一区, JCRQ1 )

2.Xianchao Zhu,Tianyi Huang, Ruiyuan Zhang, Xiaoting Wang,Visual Transfer for Reinforcement Learning via Gradient Penalty based Wasserstein Domain Confusion, Journal of Nonlinear and Variational Analysis,2022, 227-238.(SCI,中科院二区, JCRQ1).

3.Xianchao Zhu,Tianyi Huang, Ruiyuan Zhang, William Zhu, WDIBS: Wasserstein Deterministic Information Bottleneck for State Abstraction to Balance State-compression and Performance, Applied Intelligence,2022: 1-14.(SCI,中科院二区, JCRQ2)

4.Xianchao Zhu,XianJun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu and Xiaohua Hu, Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data,BMC Bioinformatics, 2018, 19: 37-48. (SCI,中科院二区, JCRQ2)

5.Xianchao Zhu,Xiaokai Hou,Quantum Architecture Search via Truly Proximal Policy Optimization,Scientific Reports, 2023, 13(1): 1-18.(SCI,中科院三区, JCRQ2)

6.Xianchao Zhu,Xiaokai Hou, Shaojun Wu, William Zhu, Quantum Deep Reinforcement Learning Based on Episodic Memory, Journal of University of Electronic Science and Technology of China.(EI)

7.Xianchao Zhu，William Zhu. “Hierarchical Reinforcement Learning with Advantage Function for Entity Relation Extraction”, Journal of Applied and Numerical Optimization, 2022, 393-404. (EI)

8.Xianchao Zhu, William Zhu, “A New Hierarchical Reinforcement Learning Framework for Relation Extraction”, 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI).(EI)

9.Xianjun Shen,Xianchao Zhu,Xingpeng Jiang,Tingting He, Xiaohua Hu. Visualization of Disease Relationships by Multiple Maps t-SNE Regularization Based on Nesterov Accelerated Gradient, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). (CCF B)

10.Xianjun Shen,Xianchao Zhu,Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu. Visualization of Non-metric Relationships by Adaptive Learning Multiple Maps t-SNE Regularization, 2017 IEEE International Conference on Big Data (Big Data). (CCF C)

11.Kun Chu,Xianchao Zhu,William Zhu, Accelerating Lifelong Reinforcement Learning via Reshaping Rewards, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (CCF C)

12.Ruiyuan Zhang,Xianchao Zhu,William Zhu. “Improved Sample Efficiency by Episodic Memory Hit Ratio Deep Q-Networks”, Journal of Applied and Numerical Optimization. (EI)

13.Yuanyuan Ma，Xiaohua Hu，Tingting He,Xianchao Zhu,Xingpeng Jiang. ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks, 2018 International Conference on Intelligent Computing. (EI)

专利:

无

获奖：

无

著作：

无

项目：

1.朱献超，量子强化学习算法研究，河南工业大学高层次人才引进项目，2023.01-2025.12.

教学成果：

无