一、基本信息

张继强，讲师，理学博士，硕士生导师。

办公地点/联系方式:博远楼417室/zhangjiqiang@nxu.edu.cn

学习经历

2005.09-2009.06兰州大学应用化学（放射化学方向）本科专业学习

2010.09-2016.06兰州大学理论物理专业攻读博士学位

工作经历

2016.09-2017.08北京计算科学中心科研人员

2017.11-2020.10北京航空航天大学大数据科学与脑机智能高精尖创新中心（计算机学院）博士后

2020.10至今 宁夏大学物理学院

学术/社会兼职

中国物理学会会员,宁夏大学学报青年编委

二、本科教学

主讲“数学物理方法”和“大学物理”。

三、研究生培养

主讲硕士生“高等统计物理”，“计算物理”等课程。

指导硕士生4人、已毕业2人；协助指导博士生1人，已毕业1人。

四、科学研究

研究领域/研究方向

统计物理与复杂系统、演化博弈、强化学习和传播动力学。

科研项目

1.国家自然科学基金地区基金项目：多元学习方式下的合作机制探究，2021.01-2025.12,主持

2.宁夏回族自治区引才专项项目：不同学习机制下演化博弈在复杂网络上宏观协作行为的微观机制探究，2021.01-2024.12，主持

3．国家自然科学基金地区基金项目：地理空间上的协同传播动力学，2018.01-2020.12，参与

科研获奖

1.宁夏自然科学优秀学术论文宁夏自然科学优秀论文：Cooperation in public goods games: Leveraging other-regarding reinforcement learning on hypergraphs，2025.09，通信作者

2．宁夏大学硕士优秀毕业论文：强化学习公共物品演化博弈下的合作机制探究

代表性成果

Dual reinforcement learning synergy in resource allocation: Emergence of momentum strategy[J].ZhennaZhang,GuozhongZheng, Li Chen,ChaoranCai,ShengfengDeng,BinquanLi,JiqiangZhang*.Chaos, Solitons & Fractals, 2026, 202: 117441.

Cooperation in public goods games: Leveraging other-regarding reinforcement learning on hypergraphs[J].BoyingLi,ZhennaZhang,GuozhongZheng,ChaoranCai,JiqiangZhang*, Li Chen*.Physical Review E, 2025, 111(1): 014304.

Emergence of anti-coordinated patterns in snowdrift game byreinforcement learning [J].ZhenweiDing,JiqiangZhang*,GuozhongZheng,WeiranCai,ChaoranCai, Li Chen,XumingWang.Chaos, Solitons &Fractals, 2024, 184:114971.

Decoding trust: a reinforcement learning perspective [J],GuozhongZheng,JiqiangZhang, Jing Zhang,WeiranCai*, Li Chen*,New Journal ofPhysics, 2024, 26:053041

Evolution of cooperation in the public goods game with Q-learning [J],GuozhongZheng,JiqiangZhang,ShengfengDeng,WeiranCai, Li Chen*.Chaos, Solitons and Fractals, 2024, 188: 115568.

Optimal coordination of resource: A solution from reinforcement learning [J].GuozhongZheng,WeiranCai,GuanxiaoQi,JiqiangZhang*, Li Chen*.Physical Review E, 2025, 112(6): 064305.

Evolution of cooperation with Q-learning: The impact of information perception[J].GuozhongZheng,ZhenweiDing,JiqiangZhang,ShengfengDeng,WeiranCai, Li Chen*.Chaos, 2025, 35(5).

Emergence of oscillatory cooperation in a population with incompleteinformation [J]. Jing Zhang, Zhao Li,JiqiangZhang, Lin Ma,GuozhongZheng, Li Chen*.PhysicaA, 2023, 617:128682.

Emergence of cooperation in a population with bimodal responsebehaviors [J]. Lin Ma,JiqiangZhang,GuozhongZheng,RizhouLiang, LiChen*. Chaos,Solitons & Fractals, 2023, 171: 113452.

Combined effect of simplicial complexes and interlayer interaction: An example of information-epidemic dynamics on multiplex networks[J]. Xin Chang,ChaoranCai,ChongyangWang,XushengLiu, and,JiqiangZhang, KangJin,WenliYang.Physical Review Research, 2023, 5(1): 013196.

Emergence of cooperation in two-agent repeated games withreinforcement learning [J]. Zhen-Wei Ding,GuozhongZheng,ChaoranCai,WeiranCai, Li Chen,JiqiangZhang(co-first author),XumingWang*.Chaos, Solitons &Fractals, 2023, 175:114032.

Pinning control of social fairness in the ultimatum game [J].GuozhongZheng,JiqiangZhang,ZhenweiDing, Lin Ma, Li Chen*.Journal of StatisticalMechanics: Theory and Experiment, 2023, 4:043404.

Probabilistic fair behaviors spark its boost in the Ultimatum game: thestrength of good Samaritans[J].GuozhongZheng,JiqiangZhang,RizhouLiang, Lin Ma, Li Chen*. Journal of Physics: Complexity, 2022, 3:035004.

Dynamical reciprocity in interacting games: Numerical results andmechanism analysis [J].RizhouLiang,QinqinWang,JiqiangZhang,GuozhongZheng, Lin Ma, Li Chen*. Physical Review E, 2022, 105: 054302.

Nonlinear mapping between continuous-and discrete-time dynamics[J]. Liang Zhang,ChaoranCai,JiqiangZhang,KangJin,WenliYang.EurophysicsLetters, 2022, 137(6): 61002.

Ji-QiangZhang*, Si-Ping Zhang*, Li Chen and Xu-Dong,Liu(2020).Understanding collective behaviors in reinforcement learning evolutionary games via a belief-based formalization. Phys. Rev. E101(4): 042402.

Si-Ping Zhang,Ji-QiangZhang*(co-first author), Li Chen and Xu-Dong, Liu. Oscillatory evolution of collective behavior in evolutionary games played with reinforcement learning. Nonlinear Dynamics (2020): 99(4), 3301-3312.

Si-Ping Zhang,Ji-QiangZhang, Zi-Gang Huang*, Bing-Hui Guo,Zhi-Xi Wu andJueWang(2019). Collective behavior of artificial intelligence population: transition from optimization to game.Nonlinear Dynamics,95(2), 1627-1637.

Ji-QiangZhang,Zi-Gang Huang*,Zhi-Xi Wu, Ri-QiSuand Ying-Cheng Lai, Controlling herding in minority game systems,Scientific Reports, 2016, 6:20925

Zhang Ji-Qiang,Huang Zi-Gang*, Dong Jia-Qi, Huang Liang and Lai Ying-Cheng,Controlling collective dynamics in complex minority-game resource-allocation systems,Physical Review E, 2013, 87(5): 052808.

Huang Zi-Gang,Zhang Ji-Qiang,Dong Jia-Qi, Huang LiangandLai Ying-Cheng*.Emergenceof grouping in multi-resource minority game dynamics. Scientific reports,2, 703(2012).