朱献超，男，1990.3，博士（后），讲师，硕士研究生导师，毕业于电子科技大学，物理学专业，担任中国自动化学会计算智能及其应用专业委员会委员。主要从事强化学习、量子强化学习、具身智能等方向相关理论和应用研究工作。近年来，主持国家自然科学基金专项项目、中国博士后科学基金面上项目、河南省自然科学基金青年基金、河南省教育厅重点科研项目及粮食信息处理与控制教育部重点实验室开放课题等多项科研项目；参与多项省部级科研项目，包括河南省科技攻关项目、河南省自然科学基金面上项目等。在Neural Networks、Knowledge-Based Systems、电子科技大学学报等国内外权威期刊及IEEE BIBM、IEEE SMC等人工智能领域顶级会议上发表学术论文30余篇，其中第一/通讯作者18篇。
联系邮箱：xczhuiffs@163.com
招生学科：大数据工程与技术、人工智能、智能科学与技术。
一、代表性论文与论著
1. Xianchao Zhu, Ruiyuan Zhang, William Zhu. MDMD Options Discovery for Accelerating Exploration in Sparse-Reward Domains, Knowledge-based Systems. (JCR1区，CAA-A类,IF: 8.038)
2. Xianchao Zhu*, Liang Zhao, William Zhu, Salience Interest Option: Temporal Abstraction with Salience Interest Function. Neural Networks. (JCR1区, CAA-A类,IF: 7.8)
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. (JCR2区，CCF-C类, IF: 5.086)
4. Xianchao Zhu*, Yashuang Mu, Xuetao Wang, William Zhu. Efficient Relation Extraction via Quantum Reinforcement Learning，Complex & Intelligent Systems. (JCR1区，CAAI-C类，IF: 5.8)
5. Xianchao Zhu*. Temporally Extended Successor Feature Neural Episodic Control，Scientific Reports,2024.(JCR1区，IF: 4.997)
6. Xianchao Zhu*, Xiaokai Hou. Quantum Architecture Search via Truly Proximal Policy Optimization, Scientific Reports, 2023, 13(1): 1-18.(JCR1区，IF: 4.997)
7. 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. (JCR 2区，CCF-C 类，IF: 3.169)
8. 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.(JCR1区，IF: 1.855)
9. Hanlin Yang, William Zhu, Xianchao Zhu*. Generalization Enhancement of Visual Reinforcement Learning Through Internal States, Sensors, 2024, 24(14): 4513. (JCR 2区)
10. Xiaonan Gao(本科生), Ziyi Wu(本科生), Xianchao Zhu*, Lei Cai. Soft Actor-Critic Algorithm with Adaptive Normalization, Journal of Nonlinear Functional Analysis, 2025 (2025) 6:1-10. (JCR2区，IF: 1.1)
11. 朱献超,侯晓凯,吴绍君,祝峰.基于情景记忆的量子深度强化学习.电子科技大学学报,2022,51(02):170-175.(EI检索期刊，信息通信领域T1级)
12. 武子怡(本科生),高晓楠(本科生),朱献超*,赵亮,祝峰,蔡磊. 基于KPPO算法的四旋翼无人机飞行控制.智能科学与技术学报, 2025, 7(03): 381-395. (CAA-A类)
13. Xianchao Zhu, William Zhu. Hierarchical Reinforcement Learning with Advantage Function for Entity Relation Extraction, Journal of Applied and Numerical Optimization, 2022. (EI检索)
14. 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检索)
15. Xiaonan Gao(本科生),Ziyi Wu(本科生), Yashuang Mu, Xianchao Zhu*. Policy Gradient Method with Integrated Self-Attention Mechanism, Applied Analysis and Optimization, 9(3):279-294, 2026.
16. Ziyi Wu(本科生), Donghao Xin(本科生), Xuechuan Xiao, Xianchao Zhu*. Stock Prediction Based on Episodic Memory Deep Q-Networks, Applied Analysis and Optimization, 9(3)：373-387,2026.
17. 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类)
18. 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 (IEEE Big Data). (CCF-C类)
19. 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类)
二、主持或参加科研/教研项目（课题）
1. 国家自然科学基金专项项目,62541605，2026.01-2026.12, 主持，在研
2. 中国博士后科学基金第77批面上项目, 2025M771592, 2025.07-2027.07, 主持, 在研
3. 河南省自然科学基金青年项目, 252300421806，2025.01-2026.12, 主持，在研
4. 河南省博士后科学基金项目资助匹配经费，21450155，2025.07-2027，主持，在研
5. 河南工业大学高层次人才引进项目，2022BS073，2023.01-2026.12，主持，在研
6. 河南省高等学校重点科研项目，24A520014，2024.01-2025.12，主持，已结项
7. 粮食信息处理与控制教育部重点实验室开放课题， KFJJ2023015, 2023.12-2025.11,主持,已结项
8. 国家级大学生创新创业训练计划项目，202510463006，2025.6-2026.6，第一指导老师，在研
三、授权专利
1. 赵亮,云晴,袁夫彩,陈瑞,金军委,朱献超,张坤鹏,付璐璐,李宣,任旭. 一种基于水下光学图像的目标检测方法，ZL202310909216.9, 2025, 已授权
