金柯兵 校聘副教授硕士生导师 研究领域：人工智能规划、认知数字孪生、自然语言处理 招生方向：大数据融合与分析 通信地址：贵州省贵阳市贵州大学西校区崇厚楼1024 电子邮件：kbjin@gzu.edu.cn  科研项目[1] 贵州大学引进人才项目，基于大数据的领域知识及决策模型学习方法研究，主持 [2] 国家自然科学基金委员会，面上项目，62076263，面向无结构状态的PDDL规划模型学习与推理方法研究, 2021-01-01 至 2024-12-31, 59万元, 在研, 参与
发表论文[1] Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, et al. 'Gradient-based mixed planning with symbolic and numeric action parameters.' Artificial Intelligence 313 (2022): 103789 (SCI 2区期刊, CCF A类期刊, IF = 14.4). [2] Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao, et al. 'Gradient-based mixed planning with symbolic and numeric action parameters (Extended Abstract).' IJCAI 2023 (CCF A类会议). [3] Mu Jin, Zhihao Ma, Kebing Jin, et al. Creativity of ai: Automatic symbolic option discovery for facilitating deep reinforcement learning. AAAI 2022 (CCF A类会议). [4] Siqi Hong, Hankz Hankui Zhuo, Kebing Jin, et al. 'Retrosynthetic planning with experience-guided Monte Carlo tree search.' Communications Chemistry 6.1 (2023): 120 (SCI 2区期刊). [5] Ziqi Sheng, Kebing Jin, Zhihao Ma, Hankz Hankui Zhuo. Action Generative Networks Planning for Deformable Object with Raw Observations. Sensors 21.13 (2021): 4552 (SCI 3区期刊).
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