教育背景
2017/08-2018/08 美国佛罗里达大学大学 联合培养博士
2013/09-2019/03 北京理工大学 本科直博
2009/09-2013/07 北京理工大学 本 科
工作经历
2021/01-现在 北京理工大学 预聘助理教授
2019/01–2021/01 北京理工大学 博士后
研究成果
主要从事智能优化算法的基础理论、智能巡飞无人系统设计与集成以及复杂环境下大规模智能集群弹药自主决策方法研究；发表高水平国际期刊论文八篇、会议论文十余篇，编写专著两部；作为课题负责人获批博士后面上一等资助、兵器科学与技术方向首个博士后站前资助、国家自然科学基金委员会青年项目和北京理工大学青年教师学术启动计划；参与多个军兵种重点研发项目。
1. 代表性期刊论文：
[1]. jie chen, juan li, and bin xin. dmoea-εc: decomposition-based multiobjective evolutionary algorithm with the ε-constraint framework [j]. ieee transactions on evolutionary computation, 2017, 21(5): 714–730. (sci一区，if: 11.169)
[2]. juan li, bin xin, jie chen, and panos m. pardalos. noise-tolerant techniques for decomposition-based multiobjective evolutionary algorithms[j]. ieee transactions on cybernetics, 2020, 50(2): 2274-2287. (sci一区，if：11.079)
[3]. juan li, panos m. pardalos, bin xin, and jie chen. the bi-objective critical node detection problem with minimum pairwise connectivity and cost: theory and algorithms[j]. soft computing, 2019, 23(23): 12729–12744. (sci三区，if：3.050)
[4]. juan li, bin xin, panos m. pardalos, and jie chen. solving bi-objective uncertain stochastic resource allocation problems by the cvar-based risk measure and decomposition-based multi-objective evolutionary algorithms[j], annals of operations research, 296, 639–666 (2021). (sci三区，if：2.583)
[5]. juan li*, jie li, panos m. pardalos, and chengwei yang. dmaoea-εc: decomposition-based many-objective evolutionary algorithm with the ε-constraint framework[j], information sciences, volume 537, october 2020, pages 203-226. (sci一区，if：5.910）
[6]. juan li, bin xin*, jie chen, and ling wang. s-coea: subproblems co-solving evolutionary algorithm for uncertain optimization[j], ieee transactions on cybernetics, doi: 10.1109/tcyb.2021.3064556. (sci一区，if：11.079)
[7]. yachao yang, chang liu*, jie li, yu yang, juan li, zhidong zhang and bobo ye. design, implementation, and verification of a low‐cost terminal guidance system for small fixed‐wing uavs[j]. journal of field robotics. 2021, 38(5): 801–827.(sci二区，if：6.385)
[8]. jing xiong, jie li, juan li*, senbo kang, chang liu, and chengwei yang, probability-tuned market-based allocations for uav swarms under unreliable observations[j]，ieee transactions on cybernetics, doi:10.1109/tcyb.2022.3162907. (sci一区，if：11.079)
[9]. bobo ye, jie li, juan li*, chang liu, jichu li, yachao yang, deep reinforcement learning based diving/pull-out control for bioinspired morphing uavs unmanned systems[j], unmanned systems, doi.org/10.1142/s2301385020500090.
[10]. juan li, jie chen, bin xin, lihua dou. solving multi-objective multi-stage weapon target assignment problem via adaptive nsga-ii and adaptive moea/d: a comparison study [c]. //proceedings of the ieee congress on evolutionary computation (cec), 2015: 3132-3139.
[11]. juan li, jie chen, bin xin. efficiently solving multi-objective dynamic weapon target assignment problems by nsga-ii [c]. //proceedings of the chinese control conference (ccc), 2015: 2556-2561.
[12]. juan li, jie chen, bin xin, lihua dou, zhihong peng. solving the uncertain multiobjective multi-stage weapon target assignment problem via moea/d-awa [c]. //proceedings of the world congress on computational intelligence (wcci), 2016: 4934-4941.
[13]. juan li, jie chen, bin xin, lu chen. efficient multi-objective evolutionary algorithms for solving the multi-objective mwta problem: a comparison study [c]. //proceedings of the ieee congress on evolutionary computation (cec), 2017: 435-442.
[14]. lu chen, bin xin, jie chen, juan li. a virtual-decision-maker library considering personalities and dynamically changing preference structures for interactive multiobjective optimization [c]. //proceedings of the ieee congress on evolutionary computation (cec), 2017: 636-641.
[15]. juan li, bin xin. an improved version of dmoea-εc for many-objective optimization problems: idmoea-εc [c]. //proceedings of the 38th chinese control conference (ccc), 2019: 2212-2217.
[16]. juan li, jie chen, bin xin. optimizing multi-objective uncertain multi-stage weapon target assignment problems with the risk measure cvar [c].// proceedings of the 15th ieee international conference on control and automation (icca), 2019: 61-66.
[17]. ziquan wang, chengwei yang, xiaolin hu, jing xiong, juan li*, chang liu, a design of simulation environment for small fixed-wing aircraft, 4th international conference on simulation, modeling and optimization (csmo), 2020.05.22, 012066 (8 pp.).
[18]. ziwei xin, jie li, ziquan wang, juan li*, a hardware-in-the-loop simulation platform for uav swarm decision-making, 2021 5th chinese conference on swarm intelligence and cooperative control.
[19]. ziquan wang, jie li, juan li*, and chang liu, uav swarm search methods under weak information interaction conditions, 2021 uav swarm search methods under weak information interaction conditions.
[20]. shi chen, cheng zhang, chengwei yang, juan li*, imflysim: a high-fidelity simulation platform for uav swarms, 2021 5th chinese conference on swarm intelligence and cooperative control.
[21]. 张胜，胡学峰，刘畅，李娟*, 基于单体视觉投影的集群控制策略, 无人系统技术, 2022，5(5)：80–88, doi: 10.19942/j.issn.2096–5915.2022.5.052.
[22]. jing xiong, juan li*, jie li. adaptive assignment re-consensus in communication-constrained environments[c]//icus 2022; the 5th ieee international conference on unmanned systems. date of conference: 14-16 october 2022. conference location: guangzhou, china. 38-43. (best paper award)
[23]. ziwei xin; juan li*; chang liu; jie li; zihao chen; yiliang li，task-driven rule-based algorithm with mode-switching for uav swarms in bounded areas[c].//proceedings of the 2022 10th international symposium on computational intelligence and industrial applications, isciia 2022. (session best presentation award)
[24]. chen ,zihao; li, juan*; xiong, jing; li, jie; liu, chang; lin, jinkun; xin, ziwei; li, yiliang; decentralized task assignment based on information fusion in communication-constrained environments[c].//proceedings of the 2022 10th international symposium on computational intelligence and industrial applications, isciia 2022. (best paper award)
[25]. yiliang li, juan li*, chang liu, jie li, ziwei xin, zihao chen. an auction-based attack-defense decision-making method for uav air combat[c]//icus 2022; the 5th ieee international conference on unmanned systems. date of conference: 14-16 october 2022. conference location: guangzhou, china.
[26]. 李杰，刘畅，李娟. 集群智能-从自然到人工系统，中国宇航出版社, isbn：978-7-5159-1828-0.
[27]. juan li, bin xin, jie chen. decomposition-based evolutionary optimization in complex environments, world scientific publishing, august 2020, isbn: 978-981-12-1898-9.
2.代表性发明专利：
[1]. 杨成伟，李杰，刘畅，王子泉，杨宇，李娟，熊婧，唐水源，王守猛，一种基于球面成像的多无人机自组群互感理解方法，zl 2019 1 1409374.8.
[2]. 杨成伟，王子泉，李杰，唐水源，刘畅，李娟，王守猛，杨宇，一种基于视觉信息的新型无人机自组群自洽优化控制方法，zl 2019 1 1417161.x.
教学工作
本科生《最优化理论与方法》
所获奖励
1. 2021年获国防技术发明三等奖（本人排名第五）
2. 2022年获批第五批军委科技委青年人才托举工程
3. 2021年获北京市本科毕设优秀指导教师
4. 2021年获第38个教师节教书育人类表彰
5. 2020年获北京理工大学优秀博士后称号
6. 2019年获北京理工大学优秀博士学位论文
7. 2019年获关肇直奖提名
8. 2019年获icca会议best student paper 提名
社会兼职
1. 指挥控制学会无人系统专委会委员（2019-现在）
2. 指挥控制学会集群智能与协同控制专委会委员（2020-现在）
3. 指挥控制学会青工委委员（2020-现在）
4. 人工智能学会会员（2019-现在）
5. ieee系列期刊及会议的审稿专家；
6. 《无人系统技术》青年编委（2022-现在）
研究方向
无人系统集群；智能优化算法
