个人履历

• 本科：同济大学 土木工程学院 地质工程

• 博士：同济大学 交通运输工程学院 交通运输工程

研究方向

• 时间序列表示学习

• 图深度学习理论与算法

• 时空数据建模与模式发现

• 张量计算
  

个性特点

认真、乐观、积极

兴趣特长

阅读、电影、羽毛球、乒乓球

个人成就

同济大学优秀博士新生奖学金

上海市优秀毕业生
同济大学圣戈班奖学金特等奖

同济大学中国港湾奖学金一等奖

学术论文

• Nie, T., Qin, G., Sun, L., Wang, Y., & Sun, J. (2023). Nexus sine qua non: Essentially connected networks for traffic forecasting. https://arxiv.org/abs/2307.01482.

• Nie, T., Qin, G., Wang, Y., & Sun, J. (2023). Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation adaptive graph convolution network. Transportation Research Part C: Emerging Technologies, https://doi.org/10.48550/arXiv.2303.05660.

• Nie, T., Qin, G., Wang, Y., & Sun, J. (2023). Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach. Transportation Research Part C: Emerging Technologies, 152, 104190, https://doi.org/10.1016/j.trc.2023.104190.

• Nie, T., Qin, G., & Sun, J. (2022). Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns. Transportation research part C: emerging technologies, 141, 103737, https://doi.org/10.1016/j.trc.2022.103737.

• Liu, C., Nie, T., Du, Y., Cao, J., Wu, D., & Li, F. (2022). A response-type road anomaly detection and evaluation method for steady driving of automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 23(11), 21984-21995, https://doi.org/10.1109/tits.2022.3182428.