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伟德betvlctor1946

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张梦洋

  • 日期:2021年09月06日 14:37
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个人简介:

张梦洋,男,山东德州人。现为伟德betvlctor1946副教授,硕士生导师。2019年6月于山东大学获工学博士学位。近年来,承担国家自然科学基金青年基金1项,山东省自然科学基金青年基金1项,博士后面上基金1项,参与国家重点研发计划、国家联合基金重点项目、国家面上基金项目等多项课题的研究工作。现已在IEEE Transactions on Multimedia、IEEE Transactions on Circuits and Systems for Video Technology、Knowledge-Based Systems、Applied Soft Computing等国际期刊发表论文20余篇。目前担任国际期刊IEEE Transactions on Multimedia、Knowledge-Based Systems等国际期刊审稿人。

担任我院机器人实验室指导教师,指导学生参加山东省机器人大赛,并获得省级奖项。

研究方向:

家用机器人、多模环境感知、知识构建与推理、机器人任务规划

招生方向:

1. 本人长期从事家庭服务机器人知识构建、任务规划以及相关应用的研究,欢迎对“机器学习”,“任务规划”和“机器人操作”感兴趣的同学联系报考我的研究生,本人会为每一位学生制定详实可行的研究计划,不让学生存在科研迷茫期;

2. 热忱欢迎本科学生(具有一定编程基础,每天至少能保证4小时科研时间)来实验室学习,年级不限;

3. 本人指导学生原则:站在学生角度,引导学生兴趣驱动,建立系统的科研思路,全方位培养学生“发现问题—解决问题—成果呈现”的能力,全程陪跑每一位学生的科研生活。

4. 本人团队依托学院机器人实验室,能够为学生提供Turtlebot 4,基于ROS的机械臂智能车,计算服务器等高端科研设备,为科研理论与实践相结合提供保障。

5. 本人联系方式:

Email: zhangmengyang007@163.com

QQ: 798910466

地址:伟德bv1946官网长清湖校区文宗楼1-302

承担/参与项目:

1. 国家自然科学基金青年项目,编号:62303285,2024.1-2026.12,主持;

2. 山东省青年基金项目,编号:ZR2022QF053,2023.1-2025.12,主持;

3. 中国博士后第67批面上资助项目,编号:2020M672060,2020.9-2021.9,主持;

4. 山东省博士后创新项目,编号:SDCX-ZG-202202031,2022.11-2024.6,主持;

5. 国家自然科学基金重点项目,编号:U1813215,2019.1-2022.12,参与;

6. 国家重点研发计划,编号:2018YFB1307100,2019.6-2022.5,参与。

主要论文:

[1] Mengyang Zhang, Guohui Tian, Huanbing Gao, et al. Autonomous Generation of Service Strategy for Household Tasks: A Progressive Learning Method With A Priori Knowledge and Reinforcement Learning [J], IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 11, pp. 7473-7488, 2022. (中科院一区, Top期刊, IF: 5.859)

[2] Mengyang Zhang, Guohui Tian, Ying Zhang, et al. Reinforcement Learning for Logic Recipe Generation: Bridging Gaps From Images to Plans [J], IEEE Transactions on Multimedia, vol. 24, pp. 352-365, 2022. (中科院一区, Top期刊,IF: 6.051)

[3] Mengyang Zhang, Guohui Tian, Hong Liu, et al. Sequential learning for ingredient recognition from images [J], IEEE Transactions on Circuits and Systems for Video Technology, 2022, doi: 10.1109/TCSVT.2022.3218790. (中科院一区, Top期刊, IF: 5.859)

[4] M. Zhang, G. Tian, Y. Cui, Y. Zhang and Z. Xia, Hierarchical Semantic Knowledge-Based Object Search Method for Household Robots [J], IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 930-941, Feb. 2024, doi: 10.1109/TETCI.2023.3297838. (中科院二区, IF: 4.851)

[5] Mengyang Zhang, Guohui Tian, Huanbing Gao, et al. Multimodal feature fusion and exploitation with dual learning and reinforcement learning for recipe generation [J], Applied Soft Computing, vol. 126, 2022. (中科院二区, Top期刊, IF: 8.263)

[6] Mengyang Zhang, Guohui Tian, Ying Zhang, et al. Service skill improvement for home robots: Autonomous generation of action sequence based on reinforcement learning [J], Knowledge-Based Systems, vol. 212, 2021. (中科院一区, Top期刊, IF: 8.139)

[7] Mengyang Zhang, Guohui Tian, Cici Li, et al. Learning to Transform Service Instructions into Actions with Reinforcement Learning and Knowledge Base [J]. International Journal of Automation and Computing, 2018, 15(05):582-592. (EI检索期刊)

[8] Shaopeng Liu, Guohui Tian, Ying Zhang, Mengyang Zhang, et al. Active Object Detection Based on a Novel Deep Q-Learning Network and Long-Term Learning Strategy for the Service Robot [J], IEEE Transactions on Industrial Electronics, vol. 69, no. 6, pp. 5984-5993, 2022. (中科院一区, Top期刊, IF: 8.139)

[9] Y. Zhang, G. Tian, X. Shao, M. Zhang and S. Liu, "Semantic Grounding for Long-Term Autonomy of Mobile Robots Toward Dynamic Object Search in Home Environments," in IEEE Transactions on Industrial Electronics, vol. 70, no. 2, pp. 1655-1665, Feb. 2023, doi: 10.1109/TIE.2022.3159913. (中科院一区, Top期刊, IF: 8.139)

[10] Y. Zhang, G. Tian, J. Lu, M. Zhang and S. Zhang, "Efficient Dynamic Object Search in Home Environment by Mobile Robot: A Priori Knowledge-Based Approach," in IEEE Transactions on Vehicular Technology, vol. 68, no. 10, pp. 9466-9477, Oct. 2019, doi: 10.1109/TVT.2019.2934509.(中科院二区, Top期刊, IF: 6.239)



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