Tian Lan

AI/ML Ph.D. Student

Learning reliable structure from complex data

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).

My research spans causal inference, large language models, time-series anomaly detection, and dynamic systems, with an emphasis on principled methods for real-world temporal and multimodal data.

Research interests Causal inference Large language models Time-series anomaly detection Dynamic systems

Latest updates

News

Recent papers, preprints, revisions, and publication updates.

2026-05 Accepted
Paper accepted to ICML 2026: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy
arXiv link
2026-02 Preprint
Preprint posted: VETime: Vision Enhanced Zero-Shot Time Series Anomaly Detection
arXiv link
2025-09 Preprint
Preprint posted: Towards foundation models for zero-shot time series anomaly detection: Leveraging synthetic data and relative context discrepancy
arXiv link
2025-09 Preprint
Preprint posted: AXIS: Explainable Time Series Anomaly Detection with Large Language Models
arXiv link
2025-09 Accepted
Paper accepted to NIPS 2025: TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents
arXiv link
2025-06 Preprint
Preprint posted: Tensor State Space-based Dynamic Multilayer Network Modeling
arXiv link
2025-05 Preprint
Preprint posted: CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
arXiv link

Selected work

Research

Projects across causal discovery, foundation models, time-series analysis, and applied AI systems.

Recognition

Awards

Selected academic awards, scholarships, and honors.

2025
First-Class Comprehensive Scholarship
Tsinghua University
2024
First-Class Comprehensive Scholarship
Tsinghua University
2020
“Haodushu” Scholarship
Tsinghua University
2018-03
China Team Selection Competition (CTSC)