史豪斌

教育教学 Education and teaching 招生信息 欢迎对人工智能、智能控制与决策、机器人智能学习、智能机器人、多智能体系统、智能系统与安全、网络安全相关方向感兴趣的优秀学生加入团队。招生信息：长期招收博士生、硕士生，欢迎感兴趣的同学提前邮件联系（shihaobin@nwpu.edu.cn）。

教育教学

综合介绍 General Introduction 史豪斌，男，博士，教授，博士生导师，副院长。中国人工智能学会理事、中国教育发展战略学会人工智能与机器人教育专业委员会理事、中国教育部首批创新创业导师、陕西省中青年科技创新领军人才、陕西省高校青年教师创新团队负责人、陕西省计算机学会副秘书长等。研究领域包括：分布式人工智能、智能机器人、群机器人协同决策、智能控制与决策、机器人路径规划与导航、机器学习、商务智能等。在IEEE Transactions on Cybernetics、IEEE Transactions on Fuzzy Systems、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Industrial Informatics、IEEE Transactions on Systems, Man, and Cybernetics: Systems、IEEE Transactions on Cognitive and Developmental Systems、Information Sciences、IEEE Systems journal、计算机学报等国内外重要学术期刊、会议上发表论文120余篇，其中ESI高被引论文、SCI 中科院1区论文40余篇，SCI、EI索引80余篇。主持包括国家自然基金重大研究计划（培育）项目、国家自然科学基金面上项目、青年项目、中国人民解放军预研项目、国家装备预研项目、陕西省重点研发计划项目、陕西省自然科学基金面上项目、航空科技创新基金项目、航天科技创新基金等项目20余项。作为技术骨干参与国家科技部重点研发计划项目、国家863项目、国家“十二五”、“十三五”等部委课题10余项。获陕西省自然科学二等奖1项目、国防科学技术三等奖1项、陕西省科学技术奖三等奖3项，中国控制与指挥学会科技进步奖二等奖1项，获得陕西省教学成果奖一等奖3项，获发明专利15项，软件著作权30余项，出版教材2部。担任国际期刊 International Journal of Fuzzy Systems 副主编。作为学校足球机器人基地、竞技机器人基地负责人，带领学生获得世界冠军50余项，全国一等奖以上200余项。 个人相册

荣誉获奖

荣誉获奖 Awards Information 　　获陕西省自然科学二等奖1项目、国防科学技术三等奖1项、陕西省科学技术奖三等奖3项，中国控制与指挥学会科技进步奖二等奖1项，获得陕西省教学成果奖一等奖3项。

科学研究

学术成果 Academic Achievements 部分学术论文：（1）Haobin Shi，Jingchen Li，Jiahui Mao，Kao-Shing Hwang, Lateral Transfer Learning for Multi-Agent Reinforcement Learning，IEEE Transactions on Cybernetics， 53（3）：1699-1711，2023.（2）Haobin Shi, Jingchen Li, Meng Liang, Maxwell Hwang, Kao-Shing Hwang, Yun-Yu Hsu，Path Planning of Randomly Scattering Waypoints for Wafer Probing Based on Deep Attention Mechanism，IEEE Transactions on Systems, Man, and Cybernetics: Systems，53（1）：529-541，2023.（3）Jingchen Li , Haobin Shi* , Wenbai Chen, Naijun Liu, Kao-Shing Hwang，Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images，IEEE Transactions on Neural Networks and Learning Systems，early access，2023.（4）Jingchen Li，Haobin Shi*，Kao-Shing Hwang, Using Fuzzy Logic to Learn Abstract Policies in Large-Scale Multi-Agent Reinforcement Learning，IEEE Transactions on Fuzzy Systems, 30（12）：5211-5224, 2022.（5）Haobin Shi, Haibo Wu, Kao-Shing Hwang, Adaptive Image-based Visual Servoing using Reinforcement Learning with Fuzzy State Coding, IEEE Transactions on Fuzzy Systems, Volume 28, Issue12, pp:3244-3255, 2020.（6）Haobin Shi, Meng xu, Kao-Shing Hwang, A Fuzzy Adaptive Approach to Decoupled Visual Servoing for a Wheeled Mobile Robot, IEEE Transactions on Fuzzy Systems, Volume 28, Issue12, pp:3229-3243, 2020.（7）Haobin Shi, Lin Shi, Meng Xu, Kao-Shing Hwang, End-to-end Navigation Strategy with Deep Reinforcement Learning for Mobile Robots, IEEE Transactions on Industrial Informatics, Volume 16; Issue 4, PP:2393–2402, 2020.（8）Haobin Shi, Gang Sun, Yuanpeng Wang, Kao-Shing Hwang, Adaptive Image-based Visual Servoing with Temporary Loss of the Visual Signal，IEEE Transactions on Industrial Informatics，Volume 15; Issue 4, PP:1956–1965, 2019.（9）Haobin Shi, Xuesi Li, Kao-Shing Hwang, Wei Pan, Genjiu Xu，Decoupled Visual Servoing with Fuzzy Q-Learning，IEEE Transactions on Industrial Informatics，Volume 14; Issue 1，PP:241-252, 2018.（10）Kao-Shing Hwang, Wei-Cheng Jiang, Yu-Jen Chen, Haobin Shi，Motion Segmentation and Balancing for a Biped Robot's Imitation Learning，IEEE Transactions on Industrial Informatics，Volume 13, Issue 3，PP：1099-1108，2017.（11）Haobin Shi, Meng Xu, A Multiple Attribute Decision-Making Approach to Reinforcement Learning, IEEE Transactions on Cognitive and Developmental Systems, Volume12, Issue4, pp:695-708, 2020.（12）Haobin Shi, Liangjing Zhai, Haibo Wu, Maxwell Hwang, Kao-Shing Hwang, Hsuan-Pei Hsu, A Multi-tier Reinforcement Learning Model for a Cooperative Multi-agent System, IEEE Transactions on Cognitive and Developmental Systems, Volume12, Issue3, pp:636–644, 2020.（13）Haobin Shi, Lin Shi, Gang Sun, Kao-Shing Hwang, Adaptive Image-Based Visual Servoing for Hovering Control of Quad-rotor, IEEE Transactions on Cognitive and Developmental Systems, Volume12, Issue3, pp:417-426, 2020.（14）Haobin Shi, Jingchen Li, Shicong Chen, Kao-Shing Hwang, A behavior fusion method based on inverse reinforcement learning, Information Sciences, Volume 609, pp:429-444,2022.（15）Jingchen Li, Fan Wu, Haobin Shi, Kao-Shing Hwang，A Collaboration of Multi-agent Model using an Interactive Interface，Information Sciences, Volume 611, pp:349–363，2022.（16）Jingchen Li，Haobin Shi, An explainable ensemble feedforward method with Gaussian convolutional filter，Knowledge-Based Systems, 225: 107103，2021.（17）Haobin Shi, Kao-Shing Hwang, Xuesi Li, Jialin Chen, A Learning Approach to Image-based Visual Servoing with a Bagging Method of Velocity Calculations, Information Sciences, Volume 481, pp:244-257, 2019.（18）Haobin Shi, Kao-Shing Hwang, RenYu Zhang, Juting Lai, Tracking and Proximity Detection for Robotic Operations by Multiple Depth Cameras, Information Sciences, Volume 483, pp:350-362, 2019.（19）Jin-Ling Lin, Kao-Shing Hwang, Haobin Shi, An Ensemble Method for Inverse Reinforcement Learning, Information Sciences, 2019.（20）Haobin Shi, Zhiqiang Lin, Shuge Zhang, Xuesi Li, Kao-Shing Hwang, An adaptive Decision-making Method with Fuzzy Bayesian Reinforcement Learning for Robot Soccer, Information Sciences, Volume 436-437, pp:268-281, 2018.（21）李静晨,史豪斌,黄国胜, 基于自注意力机制和策略映射重组的多智能体强化学习算法, 计算机学报, 45(9): 1842-1858, 2022.

学术成果

社会兼职 Social Appointments 　　中国人工智能学会理事       中国教育部首批创新创业导师　　中国教育发展战略学会人工智能与机器人教育专业委员会理事       中国机器人竞赛创新联盟副理事长　　陕西省计算机学会副秘书长

综合介绍