[1]．Zhang G, Wei F, Jia N*, et al. Information adoption in commuters’ route choice in the context of social interactions[J]. Transportation Research Part A: Policy and Practice, 2019, 130: 300-316.
[2]．Zhang K, Jia N, Zheng L, et al. A novel generative adversarial network for estimation of trip travel time distribution with trajectory data[J]. Transportation Research Part C: Emerging Technologies, 2019, 108: 223-244.
[3]．He Z, Zhang W, Jia N*. Estimating Carbon Dioxide Emissions of Freeway Traffic: A Spatiotemporal Cell-Based Model[J]. IEEE Transactions on Intelligent Transportation Systems, 2019.
[4]．Li B, Jia N*, Li P, et al. Incrementally constrained dynamic optimization: A computational framework for lane change motion planning of connected and automated vehicles[J]. Journal of Intelligent Transportation Systems, 2019: 1-12.
[5]．Qi H, Ma S, Jia N*, et al. Individual response modes to pre-trip information in congestible networks: laboratory experiment[J]. Transportmetrica A: Transport Science, 2019, 15(2): 376-395.
[6]．Han X, Cui R, Lan Y, Jia N*. A Gaussian mixture model based combined resampling algorithm for classification of imbalanced credit data sets[J]. International Journal of Machine Learning and Cybernetics, 2019: 1-13.
[7]．Ling S, Jia N, Ma S, Lan Y, et al. An incentive mechanism design for bus subsidy based on the route service level[J]. Transportation Research Part A: Policy and Practice, 2019, 119: 271-283.
[8]．Jia N, Li L, Ling S, et. al. Influence of attitudinal and low-carbon factors on behavioral intention of commuting mode choice–A cross-city study in China, Transportation Research Part A, 2018, 111:108–118.
[9]．Xin X , Jia N* , Ma S , et al. Empirical and simulation study of traffic delay at un-signalized crosswalks due to conflicts between pedestrians and vehicles[J]. Transportmetrica B: Transport Dynamics, 2018:1-20.
[10]．Jia N, Zhang Y, He Z, et al. Commuters’ acceptance of and behavior reactions to license plate restriction policy: A case study of Tianjin, China[J]. Transportation Research Part D, 2017, 52:428-440.
[11]．Wei F, Jia N*, Ma S. Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model[J]. Transportation Research Part B, 2016, 94:335-354.
[12]．Wang G., Jia N.*, Ma S., Qi H., A Rank-Dependent Bi-Criterion Equilibrium Model for Stochastic Transportation Environment, European journal of operation research, 2014, 235: 511-529.
[13]．Wang G., Ma S., Jia N.*. A combined framework for modeling the evolution of traveler route choice under risk. Transportation Research Part C. 2013,35:156-179.
[14]．Xin X, Jia N, Ma S, et al. Power laws in the cluster sizes of group-crossing pedestrians: empirical evidence and modelling of causes[J]. Journal of Statistical Mechanics Theory & Experiment, 2015, 2015(11):P11029.
[15]．Qi H., Jia N.*. Experiments on Individual Strategy Updating in Repeated Snowdrift Game with Random Rematching. Journal of theoretical biology. Journal of theoretical biology, 2015,368:1-12.
[16]．Zhong S., Jia N.*, Ma S.. Iterated snowdrift game among mobile agents with myopic expected-reward based decision rule: Numerical and analytical research[J]. Physica A, 2014, 414: 6-18.
[17]．Xin X., Jia N.*, Zheng L., et al. Power-law in pedestrian crossing flow under the interference of vehicles at an un-signalized midblock crosswalk[J]. Physica A, 2014, 406: 287-297.
[18]．Jia N.* , Ma S.，Evolution of cooperation in the snowdrift game among mobile players with random-pairing and reinforcement learning, Physica A, 2013, 392(22):5700-5710.
[19]．Jia N., Ma S., Traffic Light Boundary in the Deterministic Nagel- Schreckenberg Model, Physical Review E, 2011, 83(6): 061150.
[20]．Jia N., Ma S., Analytical Investigation of the Open Boundary Conditions in the Nagel-Schreckenberg Model, Physical Review E, 2009, 79:031115.
[21]．Jia N., Ma S., Analytical Results of the Nagel-Schreckenberg Model with Stochastic Open Boundary Conditions, Physical Review E, 2009, 80:041105.
[22]．贾宁,马寿峰. 基于启发式搜索和反馈修正的单路口控制方法[J]. 系统工程理论与实践, 2013, 33(2):444-449.
[23]．贾宁, 马寿峰，基于遗传算法优化和KD树的交通流非参数回归预测方法，控制与决策, 2012, 27(7): 991-996.
[24]．贾宁,马寿峰, 考虑摩擦干扰的机非混合交通流元胞自动机仿真, 系统仿真学报, 2011, 23(2):390-393.
[25]．贾宁,马寿峰, 最优速度模型与NS模型的比较研究, 物理学报, 2010, 59(2): 832-841.
[26]．贾宁,马寿峰, 自行车干扰下机动车交通流的元胞自动机模型, 系统工程理论与实践,2010,30(7):1333-1339.
讲授课程：
面向对象的程序设计(C++)
数据结构
指导数据分析竞赛成绩：
2017 中国平安前海征信“好信杯”迁移学习算法大赛 第6名(6/600)
2017 阿里云第二届云安全算法挑战赛 第16名(16/959)
2018 阿里云千里马大数据竞赛 — 风险识别算法赛题 第5名(5/245)
2018 蚂蚁金服蚂蚁开发者大赛 — 支付风险识别赛题 第9名(9/2986)
2018 马上金融AI全球挑战者大赛 — 违约风险识别赛 第4名(4/107)
2018 中国农业银行雅典娜杯风险分析识别大赛 第2名(2/581)
2019 津南数字制造算法挑战赛 第2名(2/2682)
2019 中国农业银行第二届雅典娜杯风险分析识别大赛 第3名
2019 第十五届挑战杯天津市大学生课外学术科技作品竞赛 市级二等奖 《ATM交易状态异常检测算法与报警系统》
欢迎对大数据分析，机器学习实战有兴趣的本科生，研究生加入FInSight团队！
获得奖励：
天津市第十四届社会科学优秀成果奖一等奖，2016.
天津大学优秀党员，2016.
天津大学管理与经济学部优秀党员标兵，2016.
天津市第三批拔尖创新人才，2018
