师资队伍

硕士生导师

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赵春亮

职称: 副教授
学院: 数据科学学院
电子邮箱: zhaoclyx@gmail.com;zhaochunliang@qust.edu.cn
  • 基本信息

  • 项目

  • 获奖

  • 论文

  • 专利

  • 课程

  • 教材或专著

  • 基本信息
    姓名:  赵春亮                最高学位:博士             入职科大时间:2022.07          
    主要研究方向:工业异常检测、低空调度与规划、图神经网络与演化、大模型驱动的智能康养 导师类别:硕士生导师                    
    国内外重要学术组织任职:中国计算机学会会员、中国人工智能学会会员、中国自动化学会会员、中国仿真学会会员、山东宇航学会理事、山东省人工智能学会智能优化与调度专委会委员、山东省人工智能学会会员;INT J COMPUT INT SYS期刊的Area Editors;TR_Part C、TR_Part E、INF 、ESWA、KBS、控制与决策、ICME等学术期刊/会议的审稿人。
    学习研究经历:
    2018/08-2022/06:中山大学,计算机科学与技术,博士
  • 项目
    [1]省级,可变场景下学习与演化共融的智能优化理论与应用(ZR2023QF065),青年自然基金,项目负责人。
    [2]基于 GPU/CPU********链接库  JG项目,负责人。
    [3]基于物联网智能硬件与大数据的智慧农场数智化平台研发,企业委托,负责人。
  • 获奖
    [1]李辉, 高颖, 陶冶, 王剑飞, 赵琦, 赵春亮, 李芮, 王传旭, 陈双敏. 低空多模态数据融合感知与智能协同巡检关键技术, 山东省大数据协会, 科技进步一等奖, 2025.
    [2]李辉, 徐凌伟, 高颖, 赵琦, 赵春亮, 李芮, 陶冶, 张宝琳, 陈双敏, 王剑飞. 低空飞行多模态智能感知与协同巡检关键技术创新及应用, 中国商业联合会,科技进步二等奖, 2024.
    [3]李辉, 徐凌伟, 高颖, 赵琦, 赵春亮, 李芮, 陶冶. 物流园区低空无人机多模态智能感知与协同巡检关键技术研究与应用, 中国物流与采购联合会, 科技进步三等奖, 2024.
    [4]韩宗宸, 赵春亮. An LGBM-aided low-cost evolutionary algorithm for optimizing analog circuit sizing, 第八届智能优化与调度学术会议, 优秀Poster奖, 2025.
  • 论文
    [1]Zhao C, Gong D*, Sun J*, et al, A knowledge-sharing evolutionary algorithm for multi-view electric vehicle charging station location, IEEE Transactions on Intelligent Transportation Systems, 2025, 26(10), 16511-16525.
    [2]Zhao C, Hao Y*, Gong D, et al. An ensemble learning-based multi-population evolutionary framework for multi-scenario multi-objective optimization problems[J]. Knowledge-Based Systems, 2023, 275: 110708.
    [3]Zhao C, Zhou Y* and Lai X. An integrated framework with evolutionary algorithm for multi-scenario multi-objective optimization problems[J]. Information Sciences, 2022, 600: 342-361.
    [4]Zhao C, Zhou Y*, and Hao Y. Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems[J]. Swarm and Evolutionary Computation, 2022, 75: 101168.
    [5]Hao Y, Zhao C*, Li Z, et al. A learning and evolution-based intelligence algorithm for multi-objective heterogeneous cloud scheduling optimization[J]. Knowledge-Based Systems, 2024, 286: 111366.
    [6]Zhao C, Zhou Y*, and Chen Z. Decomposition-based evolutionary algorithm with automatic estimation to handle many-objective optimization problem[J]. Information Sciences, 2021, 546: 1030-1046.
    [7]Gao F, Zhao C*, Gong D*, et al. A domain knowledge-injected constrained multi-objective evolutionary algorithm for analog integrated circuit design[J]. Circuits, Systems, and Signal Processing, 2025: 1-28.
    [8]Hao Y, Si B*, Zhao C. Topology transformation-based multi-path algorithm for urban rail transit network[J]. Transportation Research Part C: Emerging Technologies, 2022, 136: 103540.
    [9]Zhao C, Zhou Y*, Hao Y, et al. A bi-layer decomposition algorithm for many-objective optimization problems[J]. Applied Intelligence, 2022, 52(13): 15122-15142.
    [10]Han Z, Zhao C*, Gong D*, et al. An LGBM-aided low-cost evolutionary algorithm for optimizing analog circuit sizing[C]//Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2025: 831-834.
    [11]Guan X, Yang T, Zhao C, et al. Feedback-based adaptive crossover-rate in evolutionary computation[C]//International Joint Conference on Artificial Intelligence. 2024: 6923-6930.
    [12]Hao Y, Zhao C, Zhang Y, et al. Constrained multi-objective optimization problems: Methodologies, algorithms and applications[J]. Knowledge-Based Systems, 2024, 299: 111998.
    [13]Zhang Y, Lu J, Zhao C*, et al. Chaos optimization algorithms: A survey[J]. International journal of bifurcation and chaos, 2024, 34(16): 2450205.
    [14]Hao Y, Si B*, Zhao C. A novel shortest path algorithm with topology transformation for urban rail transit network[J]. Computers & Industrial Engineering, 2022, 169: 108223.
    [15]Hao Y, Si B*, Zhao C. Streamlined hierarchical topology network-based passenger flow assignment of urban rail transit[J]. Transportation Research Record, 2022, 2676(8): 683-696.
  • 专利
    [1]赵春亮; 巩敦卫; 韩宗宸; 高树静; 高枫轩; 王迪; 一种基于领域知识的模拟电路智能优化算法,2025-05-13, 中国, ZL202411679764.8
    [2]赵春亮; 巩敦卫; 韩宗宸; 于汶琳; 张志铖; 高枫轩; 一种放大器设计参数多目标优化方法, 2025-10-17, 中国, ZL20251 0947024.6
    [3]郝媛媛; 孙婧; 赵春亮; 于汶琳; 孙靖; 一种城市轨道-公交网络换乘站线拓扑网络的构建方法,2025-09-05, 中国, ZL20251 0702814.8
    [4]四兵锋; 郝媛媛; 赵春亮; 一种基于拓扑变换的城市轨道交通分层网络的构建方法, 2023-09-15, 中国, ZL202210687695.X
    [5]卢凯锋; 徐标; 楚红权; 赵春亮; 高树静; 巩敦卫; 魏楚亮; 基于模型预测控制的电路优化方法、系统、装置和介质, 2026-3-24, ZL202510469260.1
  • 课程
    [1] 本科生课程,最优化方法,32学时
    [2] 本科生课程,信息检索,48学时
    [3] 本科生课程,人工智能通识课,40学时
  • 教材或专著