About me

I am a Ph.D. student (2023-Present), advised by Prof. Chen Zhang.

I received my Bachelor’s degree in Industrial Engineering from Tsinghua University (2019-2023).

🔬 Research Interests

Nonlinear Causal Discovery via Dynamic Latent Variables
X Yang*, T Lan*, H Qiu, C Zhang
IEEE Transactions on Automation Science and Engineering, 2025
Federated multi-task Bayesian network learning in the presence of overlapping and distinct variables
X Yang, B Niu, T Lan, C Zhang
IISE Transactions, 2025
Wavelet-based Disentangled Adaptive Normalization for Non-stationary Times Series Forecasting
J Lin, T Lan, B Zhang, K Lin, D Miao, H He, J Ye, C Zhang, Y Li
arXiv preprint arXiv:2506.05857, 2025
Tensor State Space-based Dynamic Multilayer Network Modeling
T Lan, J Guo, C Zhang
arXiv preprint arXiv:2506.02413, 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
T Lan, Y Gao, Y Lu, C Zhang
arXiv preprint arXiv:2505.00415, 2025

Xtraffic: A dataset where traffic meets incidents with explainability and more
X Gou, Z Li, T Lan, J Lin, Z Li, B Zhao, C Zhang, D Wang, X Zhang
arXiv preprint arXiv:2407.11477, 2024
Multifun-dag: Multivariate functional directed acyclic graph
T Lan, Z Li, J Lin, Z Li, L Bai, M Li, F Tsung, R Zhao, C Zhang
arXiv preprint arXiv:2404.13836, 2024
Multi-scenario cellular KPI prediction based on spatiotemporal graph neural network
J Lin, T Lan, B Zhang, K Lin, D Miao, H He, J Ye, C Zhang, YF Li
IEEE Transactions on Automation Science and Engineering, 2024

Mm-dag: Multi-task dag learning for multi-modal data-with application for traffic congestion analysis
T Lan, Z Li, Z Li, L Bai, M Li, F Tsung, W Ketter, R Zhao, C Zhang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023