金钊

研究领域

机器学习、强化学习、迁移学习、智能系统开发

研究概况

研究集中在：加速强化学习的方法研究；应对小样本数据的迁移学习；系统智能化改造和智能系统开发等相关机器学习领域，已发表相关论文40余篇。

研究课题

（1）小规模软件工程技术研究，云南大学校级项目，2004.03-2006.02,主持

（2）基于引导贝叶斯网的增强学习技术研究，2010.09-2012.09，云南省教育厅科学研究基金项目，主持

（3）提高强化学习效率的方法和技术研究，2011.12-2013.11，云南大学校级项目，主持

（4）强化编程实践的人工智能课程教学改革，2021.04-2022.04，教育部产学合作协同育人项目，主持

（5）基于TensorFlow实现的机器学习课程建设研究，云南大学信息学院教学改革项目，2022.01-2022.12，主持

（6）基于构件的快速软件并行开发技术，2001.07-2004.06，云南省自然科学基金项目，参与

（7）面向异质社会网络的信息扩散研究，2018.01-2021.12，国家自然科学基金，参与

奖励与荣誉

云南大学第十届教学成果奖二等奖，2003年

云南大学第八批主干课建设优秀奖，2004年

云南大学第17届教师教学比赛三等奖，2023年

学术成果

[1]Zhao Jin，WeiYi Liu, Jian Jin, Building real-time updating bayesian network refine watering control of ordering machine, Chinese Journal of Scientific Instrument, Vol.28 No.8, pp:346-350, 2007.08. 

[2]Zhao Jin, WeiYi Liu, Jian Jin, Finding Shortcuts from Episode in Multi-Agent Reinforcement Learning, The 2009 International Conference on Machine Learning and Cybernetics, pp:2306-2311, Baoding, China, 2009.07. 

[3]Zhao Jin, WeiYi Liu, Jian Jin, A State-Cluster based Q-learning, the Fifth International Conference on Natural Computation, pp:44-49, Tianjin, China, 2009.08.

[4]Zhao Jin, WeiYi Liu, Jian Jin, State-Clusters Shared Cooperative Multi-Agent Reinforcement Learning，Proceedings of the 7th Asian Control Conference, pp:129-135, Hong Kong, China, 2009.08. 

[5]Zhao Jin, WeiYi Liu, Jian Jin, Partitioning the State Space By Critical States, The Fourth International Conference on Bio-Inspired Computing: Theories and Applications, pp:206-212, Beijing, China, 2009.10. 

[6]Zhao Jin, WeiYi Liu, Jian Jin, A heuristic method to isolate the state space, The Second International Conference on Computer Science and Software Engineering, Wuhan, China, pp:1-4, 2009.12. 

[7]Zhao Jin, JiDong Li, Reducing exploration by closing enclosures in cluttered state space, The 2009 International Conference on Information Engineering and Computer Science, Wuhan, China, pp:1726-1729, 2009.12. 

[8]Zhao Jin, Jian Jin, WeiYi Liu, Discovering Sub-goals from Layered State Space, The IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications, pp: 913-917, Changsha, China, 2010.09. 

[9]Zhao Jin, Jian Jin, WeiYi Liu, Autonomous Discovery of Subgoals using Acyclic State Trajectories, Lecture Notes in Computer Science, Vol.6377, pp:49-56, Springer, Heidelberg, 2010.10. 

[10]Zhao Jin, Jian Jin, Jiong Song, Learning Form Experience:A Bayesian Network Based Reinforcement Learning Approach, Lecture Notes in Computer Science, Vol.7030, pp:407-414,Springer, Heidelberg, 2011.10. 

[11]Zhao Jin , YuTong Wu, Early Crops Diseases Identification Using Deep Transfer Learning, 2023 2nd International Conference on Robotics, Artificial Intelligence and Intelligent Control (RAIIC), Mianyang, China, 2023.08, pp. 383-386.

[12]Zhao Jin, YuTong Wu, Universal Fruit Plants Pests and Diseases Detector based on Deep Transfer Learning, 2023 9th Annual International Conference on Network and Information Systems for Computers(ICNISC 2023),2023.10, pp. 114-117. 

[13]金钊, 金剑, 李琨, 基于Profibus的复烤能源采集系统设计, 控制工程, Vol.14, No.2, PP:185-188, 2007. 

[14]金钊, 金剑, 贝叶斯网在复烤润叶机加水控制系统中的应用, 烟草科技, No.7, pp:18-22, 2009. 

[15]金钊, 金剑, 烟叶分级投料管理系统开发, 中国烟草学报, Vol.16, No.5, pp:30-34, 2010. 

[16]金钊,张蔚宇,胡茂, 基于TensorFlow实现的机器学习课程教学改革研究, 课堂革命的创新与探索,云大出版社, 2022.05 pp:167-175

[17]金钊, 李彤, 柳青, 和伟民, 刘剑, 一种移植串行系统到并行环境的MSP方法, 云南大学学报, Vol.22, No.3, pp:172-176, 2000.

[18]金钊, 李彤, 试论影响软件系统成功实现的重要因素, 计算机应用研究, Vol.17, No.4, pp:17-18, 2000.

[19]金钊, 李彤, 知识概念化方法KCM及其支持工具KCT, 云南大学学报, Vol.23, No.3, pp:173-176, 2001.

[20]Jiong Song, Zhao Jin, Shaping Agent by Critical States, 2011 7th International Conference on Natural Computation, Shanghai, China, pp:1340-1343, 2011.07. 

[21]Jiong Song, Zhao Jin, Implementing autonomous shaping by critical states, 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference, Chongqing, China, pp:276-279, 2011.08. 

[22]Jiong Song, Zhao Jin, Autonomous shaping by high density visited states, The Second International Conference on Internet Technology and Applications(iTAP 2011), Wuhan, China, pp:100-103, 2011.08. 

[23]Jiong Song, Zhao Jin, Q-Learning based Multi-Intersection Traffic Signal Control Model, 2011 international Conference on System Science, Engineering Design and Manufacturing Informatization, Guiyang, China, pp:280-283, 2011.10. October 2011. 

[24]Jiong Song, Zhao Jin, Implementing Traffic Signal Optimal Control by Multiagent Reinforcement Learning, 2011 international Conference on computer science and network Technology, Harbin, China, pp:2578-2582, 2011.12, December 24-26, 2011.

[25]Jiong Song, Zhao Jin, Shaping Bayesian Network based Reinforcement Learning, Proceedings of the 2010 International Conference on Industrial Control and Electronics Engineering, Vol.11, No.9, pp:742-745, 2012.08. 

[26]金剑, 金钊, SCADA系统在打叶复烤线上的应用, 工业控制计算机, Vol.19, No.1, pp:16-18, 2006. 

[27]金剑, 金钊, 复烤润叶机电控系统改造, 烟草科技, No.7, pp:17-21, 2006. 

[28]金剑, 金钊, 基于Profibus的复烤能源数据采集管理系统设计, 计量技术, No.1, pp:61-65, 2007. 

[29]雷亚兰, 金钊, 断路器三相不一致保护拒动原因分析, 电工技术, No.10, pp:59-60, 2009. 

[30]雷亚兰, 金钊, PSL 602GAS 保护装置拒动事件的分析, 电工技术, No.11, pp:8-12, 2009.

[31]金剑, 金钊, SPC质量统计过程控制系统在复烤生产线中的应用, 烟草科技, No.4, pp:15-20, 2010. 

[32]金剑, 金钊, 烟叶化学成分采集分析系统的开发, 自动化仪表, Vol.31, No.6, pp:34-38, 2010. 

[33]金剑, 金钊, 基于WinCC的烟箱标签打印系统设计, 计算机测量与控制, Vol.18 No.8, pp.: 1940-1942, 2010. 

[34]宋炯，金钊，机器学习中加速强化学习的一种函数方法，云南大学学报，Vol.33, No.S2，pp:176-181, 2011. 

[35]宋炯，金钊，采用多智能体强化学习的交通信号优化控制，制造业自动化，Vol.34 No.9, pp.: 13-16, 2012.

[36]金剑， 金钊，分支定界法在制丝多线排产优化中的应用，自动化仪表，Vol.33 No.11，pp:15-18，2012. 

[37]金剑， 金钊，卷烟生产计划排产模型建立与优化，计算机工程与应用， Vol.49 No.18, pp: 253-259, 2013. 

[38] 黄施豪，金钊, 基于CSWin-Transformer和WGAN 技术的人脸遮挡修复研究,  图像与信号处理, 2025, 14(2), 299-309  

[39] Y. Yang, L. Zhou, Zhao Jin and J. Yang, Meta Path-Based Information Entropy for Modeling Social Influence in Heterogeneous Information Networks,2019 20th IEEE International Conference on Mobile Data Management (MDM)，2019, pp. 557-562.

[40]T. Huang, L. Zhou, Zhao Jin, Y. Huang and K. Lü, A Multi-component Attribute Network Embedding for Link Prediction,2020 IEEE 22nd Conference on Business Informatics (CBI), 2020, pp. 58-65.

[41]李彤, 孔兵, 金钊, 王黎霞, 软件并行开发过程, 科学出版社, 2003.